SNN_1.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# SNN_1\n",
    "\n",
    "This code builds on SNN_0 and takes real input from an image.  Initially this will be images from the MNIST dataset, a number picked at random (eventually!) to understand the propogration of spikes across layers in an SNN.\n",
    "\n",
    "It aims to demonstrate/prove the following:\n",
    "\n",
    "* A more complex input can be processed (rather than a flat network of circa 100 neurons in SNN_0)\n",
    "* A higher stimulus will propogate quicker across the network (more spikes are generated, so they will have a bigger impact on neurons in higher layers)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Running the simulation\n",
    "\n",
    "The following code defines a set of LIF neurons and applies a stimulus to them. It then propogates the spikes to a neuron in a 2nd layer, graphing the results.\n",
    "\n",
    "Note that some of the code from SNN_0 (such as the class LIFNeuron) has been lifted into seperate Python packages to improve readability and re-use across notebooks."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Set up the environment"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "import random\n",
    "from neurons import LIFNeuron as LIF\n",
    "from utils import graph_results as graph\n",
    "from mnist import MNIST \n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "###  Set up some parameters for the simulation\n",
    "\n",
    "* Assume a consistent/single stimulus value for now that is applied for the duration of the simulation.\n",
    "* Define the architecture of the SNN (layers, neurons per layer)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "T         = 20   #50    # total time to sumulate (msec)\n",
    "dt        = 0.0125 # Simulation timestep\n",
    "time      = int(T / dt)\n",
    "\n",
    "debug=True"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Get an MNIST image\n",
    "\n",
    "Start by getting an image from the MNIST dataset and render it"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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     ]
    }
   ],
   "source": [
    "mndata = MNIST('./mnist')\n",
    "images, labels = mndata.load_training()\n",
    "\n",
    "def get_next_image(index=0):\n",
    "    return images[index]\n",
    "    \n",
    "image = get_next_image(index=0)\n",
    "print(mndata.display(image))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now convert to a Numpy array, normalise (into 0<=image<=1) for easier processing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
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      "(28, 28)\n"
     ]
    }
   ],
   "source": [
    "image=np.asarray(image).reshape((28,28))\n",
    "image_norm = (image * 255.0/image.max()) / 255.\n",
    "print(image_norm)\n",
    "print(image.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Create a set of kernels for the image (assume a basic convolution will happen later)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Convolution Dimensions: x=7 / y=7\n"
     ]
    }
   ],
   "source": [
    "stride = (4,2)   # TODO: This will be 4 on-centre neurons, 2 surround (off-centre) neurons\n",
    "stride_size = stride[0] + stride[1]\n",
    "len_x, len_y = image.shape\n",
    "x_max = int(len_x/stride[0])\n",
    "y_max = int(len_y/stride[0])\n",
    "print ('Convolution Dimensions: x={} / y={}'.format(x_max, y_max))  #', starting at x={}, y={}'.format(x_max, y_max, x_count, y_count))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Render the image in each of it's retinal 'zones'\n",
    "\n",
    "This will be the basis of what each retinal unit views as we progress.\n",
    "\n",
    "Not that the pixels that will have the strongest stimuli are white (as they are closer to 1), areas of least stimuli are black (value close to 0)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAWkAAAD8CAYAAAC1p1UKAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nCCbSAMFEGiCYSAME+wezxb0hODVIEQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11c90f4e0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure() #int(x_max+1) * int(y_max+1))\n",
    "x_count, y_count = 1, 1\n",
    "\n",
    "for y in range (0, len_y, stride[0]):\n",
    "    x_count = 1\n",
    "    for x in range(0, len_x, stride[0]):\n",
    "        x_end = x + stride[0]\n",
    "        y_end = y + stride[0]\n",
    "        kernel = image_norm[y:y_end, x:x_end]\n",
    "        #orientation = s1(kernel)\n",
    "        a = fig.add_subplot(y_max, x_max, (y_count-1)*x_max+x_count)\n",
    "        a.axis('off')\n",
    "        plt.imshow(kernel, cmap=\"gray\")    \n",
    "        x_count += 1\n",
    "    y_count += 1\n",
    "plt.show()    "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Process the pixel stimulus for each retinal neuron"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Process the image 1 pixel at a time\n",
    "\n",
    "First create a set of neurons for each of the pixels. \n",
    "Assume 1-to-1 mapping, and no concept of a retinal unit. This will come later."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Creating 28 x 28 neurons\n",
      "LIFNeuron(0/0): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(0/1): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(0/2): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(0/3): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(0/4): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(0/5): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(0/6): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(0/7): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(0/8): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(0/9): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(0/10): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(0/11): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(0/12): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(0/13): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(0/14): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(0/15): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(0/16): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(0/17): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(0/18): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(0/19): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(0/20): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(0/21): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(0/22): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(0/23): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(0/24): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(0/25): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(0/26): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(0/27): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(1/0): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(1/1): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(1/2): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(1/3): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(1/4): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(1/5): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(1/6): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(1/7): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(1/8): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(1/9): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(1/10): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(1/11): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(1/12): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(1/13): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(1/14): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(1/15): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(1/16): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(1/17): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(1/18): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(1/19): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(1/20): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(1/21): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(1/22): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(1/23): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(1/24): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(1/25): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(1/26): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(1/27): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(2/0): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(2/1): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(2/2): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(2/3): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(2/4): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(2/5): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(2/6): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(2/7): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(2/8): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(2/9): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(2/10): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(2/11): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(2/12): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(2/13): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(2/14): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(2/15): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(2/16): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(2/17): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(2/18): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(2/19): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(2/20): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(2/21): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(2/22): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(2/23): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(2/24): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(2/25): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(2/26): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(2/27): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(3/0): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(3/1): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(3/2): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(3/3): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(3/4): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(3/5): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(3/6): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(3/7): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(3/8): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(3/9): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(3/10): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(3/11): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(3/12): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(3/13): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(3/14): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(3/15): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(3/16): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(3/17): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(3/18): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(3/19): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(3/20): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(3/21): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(3/22): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(3/23): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(3/24): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(3/25): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(3/26): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(3/27): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(4/0): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(4/1): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(4/2): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(4/3): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(4/4): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(4/5): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(4/6): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(4/7): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(4/8): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(4/9): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(4/10): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(4/11): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(4/12): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(4/13): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(4/14): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(4/15): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(4/16): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(4/17): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(4/18): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(4/19): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(4/20): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(4/21): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(4/22): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(4/23): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(4/24): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(4/25): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(4/26): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(4/27): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(5/0): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(5/1): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(5/2): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(5/3): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(5/4): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(5/5): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(5/6): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(5/7): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(5/8): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(5/9): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(5/10): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(5/11): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(5/12): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(5/13): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(5/14): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(5/15): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(5/16): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(5/17): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(5/18): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(5/19): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(5/20): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(5/21): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(5/22): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(5/23): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(5/24): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(5/25): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(5/26): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(5/27): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(6/0): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(6/1): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(6/2): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(6/3): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(6/4): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(6/5): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(6/6): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(6/7): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(6/8): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(6/9): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(6/10): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(6/11): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(6/12): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(6/13): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(6/14): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(6/15): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(6/16): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(6/17): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(6/18): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(6/19): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(6/20): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(6/21): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(6/22): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(6/23): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(6/24): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(6/25): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(6/26): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(6/27): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(7/0): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(7/1): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(7/2): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(7/3): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(7/4): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(7/5): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(7/6): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(7/7): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(7/8): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(7/9): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(7/10): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(7/11): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(7/12): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(7/13): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(7/14): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(7/15): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(7/16): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(7/17): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(7/18): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(7/19): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(7/20): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(7/21): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(7/22): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(7/23): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(7/24): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(7/25): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(7/26): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(7/27): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(8/0): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(8/1): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(8/2): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(8/3): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(8/4): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(8/5): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(8/6): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(8/7): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(8/8): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(8/9): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(8/10): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(8/11): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(8/12): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(8/13): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(8/14): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(8/15): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(8/16): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(8/17): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(8/18): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(8/19): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(8/20): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(8/21): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(8/22): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(8/23): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(8/24): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(8/25): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(8/26): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(8/27): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(9/0): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(9/1): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(9/2): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(9/3): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(9/4): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(9/5): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(9/6): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(9/7): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(9/8): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(9/9): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(9/10): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(9/11): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(9/12): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(9/13): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(9/14): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(9/15): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(9/16): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(9/17): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(9/18): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(9/19): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(9/20): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(9/21): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(9/22): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(9/23): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(9/24): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(9/25): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(9/26): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(9/27): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(10/0): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(10/1): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(10/2): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(10/3): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(10/4): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(10/5): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(10/6): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(10/7): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(10/8): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(10/9): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(10/10): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(10/11): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(10/12): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(10/13): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(10/14): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(10/15): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(10/16): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(10/17): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(10/18): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(10/19): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(10/20): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(10/21): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(10/22): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(10/23): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(10/24): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(10/25): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(10/26): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(10/27): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(11/0): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(11/1): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(11/2): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(11/3): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(11/4): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(11/5): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(11/6): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(11/7): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(11/8): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(11/9): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(11/10): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(11/11): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(11/12): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(11/13): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(11/14): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(11/15): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(11/16): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(11/17): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(11/18): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(11/19): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(11/20): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(11/21): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(11/22): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(11/23): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(11/24): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(11/25): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(11/26): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(11/27): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(12/0): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(12/1): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(12/2): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(12/3): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(12/4): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(12/5): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(12/6): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(12/7): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(12/8): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(12/9): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(12/10): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(12/11): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(12/12): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(12/13): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(12/14): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(12/15): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(12/16): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(12/17): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(12/18): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(12/19): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(12/20): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(12/21): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(12/22): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(12/23): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(12/24): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(12/25): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(12/26): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(12/27): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(13/0): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(13/1): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(13/2): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(13/3): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(13/4): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(13/5): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(13/6): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(13/7): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(13/8): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(13/9): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(13/10): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(13/11): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(13/12): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(13/13): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(13/14): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(13/15): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(13/16): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(13/17): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(13/18): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(13/19): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(13/20): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(13/21): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(13/22): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(13/23): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(13/24): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(13/25): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(13/26): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(13/27): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(14/0): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(14/1): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(14/2): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(14/3): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(14/4): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(14/5): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(14/6): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(14/7): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(14/8): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(14/9): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(14/10): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(14/11): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(14/12): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(14/13): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(14/14): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(14/15): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(14/16): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(14/17): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(14/18): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(14/19): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(14/20): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(14/21): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(14/22): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(14/23): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(14/24): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(14/25): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(14/26): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(14/27): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(15/0): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(15/1): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(15/2): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(15/3): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(15/4): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(15/5): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(15/6): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(15/7): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(15/8): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(15/9): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(15/10): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(15/11): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(15/12): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(15/13): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(15/14): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(15/15): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(15/16): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(15/17): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(15/18): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(15/19): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(15/20): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(15/21): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(15/22): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(15/23): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(15/24): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(15/25): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(15/26): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(15/27): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(16/0): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(16/1): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(16/2): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(16/3): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(16/4): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(16/5): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(16/6): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(16/7): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(16/8): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(16/9): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(16/10): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(16/11): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(16/12): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(16/13): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(16/14): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(16/15): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(16/16): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(16/17): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(16/18): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(16/19): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(16/20): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(16/21): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(16/22): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(16/23): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(16/24): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(16/25): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(16/26): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(16/27): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(17/0): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(17/1): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(17/2): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(17/3): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(17/4): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(17/5): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(17/6): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(17/7): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(17/8): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(17/9): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(17/10): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(17/11): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(17/12): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(17/13): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(17/14): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(17/15): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(17/16): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(17/17): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(17/18): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(17/19): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(17/20): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(17/21): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(17/22): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(17/23): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(17/24): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(17/25): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(17/26): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(17/27): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(18/0): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(18/1): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(18/2): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(18/3): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(18/4): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(18/5): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(18/6): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(18/7): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(18/8): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(18/9): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(18/10): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(18/11): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(18/12): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(18/13): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(18/14): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(18/15): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(18/16): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(18/17): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(18/18): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(18/19): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(18/20): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(18/21): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(18/22): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(18/23): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(18/24): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(18/25): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(18/26): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(18/27): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(19/0): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(19/1): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(19/2): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(19/3): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(19/4): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(19/5): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(19/6): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(19/7): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(19/8): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(19/9): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(19/10): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(19/11): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(19/12): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(19/13): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(19/14): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(19/15): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(19/16): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(19/17): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(19/18): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(19/19): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(19/20): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(19/21): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(19/22): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(19/23): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(19/24): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(19/25): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(19/26): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(19/27): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(20/0): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(20/1): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(20/2): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(20/3): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(20/4): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(20/5): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(20/6): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(20/7): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(20/8): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(20/9): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(20/10): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(20/11): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(20/12): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(20/13): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(20/14): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(20/15): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(20/16): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(20/17): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(20/18): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(20/19): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(20/20): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(20/21): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(20/22): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(20/23): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(20/24): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(20/25): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(20/26): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(20/27): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(21/0): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(21/1): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(21/2): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(21/3): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(21/4): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(21/5): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(21/6): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(21/7): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(21/8): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(21/9): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(21/10): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(21/11): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(21/12): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(21/13): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(21/14): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(21/15): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(21/16): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(21/17): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(21/18): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(21/19): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(21/20): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(21/21): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(21/22): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(21/23): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(21/24): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(21/25): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(21/26): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(21/27): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(22/0): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(22/1): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(22/2): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(22/3): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(22/4): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(22/5): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(22/6): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(22/7): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(22/8): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(22/9): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(22/10): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(22/11): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(22/12): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(22/13): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(22/14): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(22/15): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(22/16): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(22/17): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(22/18): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(22/19): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(22/20): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(22/21): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(22/22): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(22/23): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(22/24): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(22/25): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(22/26): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(22/27): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(23/0): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(23/1): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(23/2): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(23/3): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(23/4): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(23/5): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(23/6): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(23/7): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(23/8): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(23/9): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(23/10): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(23/11): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(23/12): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(23/13): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(23/14): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(23/15): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(23/16): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(23/17): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(23/18): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(23/19): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(23/20): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(23/21): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(23/22): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(23/23): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(23/24): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(23/25): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(23/26): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(23/27): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(24/0): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(24/1): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(24/2): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(24/3): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(24/4): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(24/5): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(24/6): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(24/7): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(24/8): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(24/9): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(24/10): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(24/11): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(24/12): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(24/13): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(24/14): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(24/15): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(24/16): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(24/17): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(24/18): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(24/19): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(24/20): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(24/21): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(24/22): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(24/23): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(24/24): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(24/25): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(24/26): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(24/27): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(25/0): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(25/1): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(25/2): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(25/3): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(25/4): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(25/5): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(25/6): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(25/7): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(25/8): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(25/9): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(25/10): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(25/11): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(25/12): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(25/13): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(25/14): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(25/15): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(25/16): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(25/17): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(25/18): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(25/19): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(25/20): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(25/21): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(25/22): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(25/23): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(25/24): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(25/25): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(25/26): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(25/27): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(26/0): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(26/1): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(26/2): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(26/3): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(26/4): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(26/5): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(26/6): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(26/7): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(26/8): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(26/9): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(26/10): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(26/11): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(26/12): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(26/13): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(26/14): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(26/15): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(26/16): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(26/17): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(26/18): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(26/19): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(26/20): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(26/21): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(26/22): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(26/23): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(26/24): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(26/25): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(26/26): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(26/27): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(27/0): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(27/1): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(27/2): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(27/3): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(27/4): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(27/5): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(27/6): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(27/7): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(27/8): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(27/9): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(27/10): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(27/11): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(27/12): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(27/13): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(27/14): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(27/15): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(27/16): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(27/17): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(27/18): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(27/19): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(27/20): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(27/21): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(27/22): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(27/23): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(27/24): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(27/25): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(27/26): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(27/27): Created Leaky Integrate and Fire neuron starting at time 0\n"
     ]
    }
   ],
   "source": [
    "neurons = []\n",
    "print('Creating {} x {} neurons'.format(len_x, len_y))\n",
    "for y in range (0, len_y, 1):\n",
    "    neuron_row=[]\n",
    "    for x in range(0, len_x, 1):\n",
    "        neuron_row.append(LIF.LIFNeuron(neuron_label=\"{}/{}\".format(y,x), debug=debug))\n",
    "    neurons.append(neuron_row)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "28 28\n"
     ]
    }
   ],
   "source": [
    "start_x = 5\n",
    "start_y = 5\n",
    "\n",
    "print(len_x, len_y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Stimulus from image @ 0/0: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 0/0: 0/0\n",
      "LIFNeuron.spike_generator(0/0).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(0/0).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 0,0: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 0/1: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 0/1: 0/1\n",
      "LIFNeuron.spike_generator(0/1).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(0/1).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 1,0: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 0/2: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 0/2: 0/2\n",
      "LIFNeuron.spike_generator(0/2).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(0/2).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 2,0: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 0/3: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 0/3: 0/3\n",
      "LIFNeuron.spike_generator(0/3).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(0/3).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 3,0: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 0/4: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 0/4: 0/4\n",
      "LIFNeuron.spike_generator(0/4).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(0/4).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 4,0: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 0/5: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 0/5: 0/5\n",
      "LIFNeuron.spike_generator(0/5).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(0/5).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 5,0: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 0/6: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 0/6: 0/6\n",
      "LIFNeuron.spike_generator(0/6).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(0/6).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 6,0: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 0/7: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 0/7: 0/7\n",
      "LIFNeuron.spike_generator(0/7).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(0/7).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 7,0: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 0/8: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 0/8: 0/8\n",
      "LIFNeuron.spike_generator(0/8).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(0/8).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 8,0: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 0/9: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 0/9: 0/9\n",
      "LIFNeuron.spike_generator(0/9).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(0/9).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 9,0: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 0/10: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 0/10: 0/10\n",
      "LIFNeuron.spike_generator(0/10).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(0/10).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 10,0: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 0/11: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 0/11: 0/11\n",
      "LIFNeuron.spike_generator(0/11).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(0/11).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 11,0: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 0/12: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 0/12: 0/12\n",
      "LIFNeuron.spike_generator(0/12).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(0/12).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 12,0: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 0/13: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 0/13: 0/13\n",
      "LIFNeuron.spike_generator(0/13).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(0/13).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 13,0: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 0/14: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 0/14: 0/14\n",
      "LIFNeuron.spike_generator(0/14).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(0/14).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 14,0: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 0/15: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 0/15: 0/15\n",
      "LIFNeuron.spike_generator(0/15).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(0/15).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 15,0: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 0/16: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 0/16: 0/16\n",
      "LIFNeuron.spike_generator(0/16).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(0/16).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 16,0: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 0/17: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 0/17: 0/17\n",
      "LIFNeuron.spike_generator(0/17).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(0/17).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 17,0: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 0/18: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 0/18: 0/18\n",
      "LIFNeuron.spike_generator(0/18).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(0/18).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 18,0: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 0/19: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 0/19: 0/19\n",
      "LIFNeuron.spike_generator(0/19).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(0/19).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 19,0: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 0/20: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 0/20: 0/20\n",
      "LIFNeuron.spike_generator(0/20).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(0/20).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 20,0: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 0/21: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 0/21: 0/21\n",
      "LIFNeuron.spike_generator(0/21).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(0/21).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 21,0: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 0/22: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 0/22: 0/22\n",
      "LIFNeuron.spike_generator(0/22).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(0/22).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 22,0: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 0/23: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 0/23: 0/23\n",
      "LIFNeuron.spike_generator(0/23).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(0/23).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 23,0: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 0/24: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 0/24: 0/24\n",
      "LIFNeuron.spike_generator(0/24).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(0/24).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 24,0: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 0/25: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 0/25: 0/25\n",
      "LIFNeuron.spike_generator(0/25).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(0/25).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 25,0: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 0/26: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 0/26: 0/26\n",
      "LIFNeuron.spike_generator(0/26).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(0/26).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 26,0: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 0/27: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 0/27: 0/27\n",
      "LIFNeuron.spike_generator(0/27).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(0/27).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 27,0: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 1/0: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 1/0: 1/0\n",
      "LIFNeuron.spike_generator(1/0).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(1/0).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 0,1: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 1/1: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 1/1: 1/1\n",
      "LIFNeuron.spike_generator(1/1).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(1/1).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 1,1: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 1/2: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 1/2: 1/2\n",
      "LIFNeuron.spike_generator(1/2).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(1/2).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 2,1: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 1/3: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 1/3: 1/3\n",
      "LIFNeuron.spike_generator(1/3).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(1/3).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 3,1: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 1/4: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 1/4: 1/4\n",
      "LIFNeuron.spike_generator(1/4).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(1/4).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 4,1: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 1/5: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 1/5: 1/5\n",
      "LIFNeuron.spike_generator(1/5).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(1/5).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 5,1: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 1/6: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 1/6: 1/6\n",
      "LIFNeuron.spike_generator(1/6).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(1/6).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 6,1: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 1/7: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 1/7: 1/7\n",
      "LIFNeuron.spike_generator(1/7).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(1/7).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 7,1: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 1/8: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 1/8: 1/8\n",
      "LIFNeuron.spike_generator(1/8).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(1/8).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 8,1: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 1/9: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 1/9: 1/9\n",
      "LIFNeuron.spike_generator(1/9).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(1/9).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 9,1: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 1/10: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 1/10: 1/10\n",
      "LIFNeuron.spike_generator(1/10).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(1/10).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 10,1: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 1/11: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 1/11: 1/11\n",
      "LIFNeuron.spike_generator(1/11).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(1/11).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 11,1: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 1/12: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 1/12: 1/12\n",
      "LIFNeuron.spike_generator(1/12).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(1/12).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 12,1: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 1/13: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 1/13: 1/13\n",
      "LIFNeuron.spike_generator(1/13).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "LIFNeuron.spike_generator(1/13).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 13,1: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 1/14: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 1/14: 1/14\n",
      "LIFNeuron.spike_generator(1/14).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(1/14).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 14,1: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 1/15: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 1/15: 1/15\n",
      "LIFNeuron.spike_generator(1/15).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(1/15).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 15,1: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 1/16: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 1/16: 1/16\n",
      "LIFNeuron.spike_generator(1/16).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(1/16).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 16,1: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 1/17: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 1/17: 1/17\n",
      "LIFNeuron.spike_generator(1/17).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(1/17).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 17,1: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 1/18: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 1/18: 1/18\n",
      "LIFNeuron.spike_generator(1/18).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(1/18).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 18,1: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 1/19: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 1/19: 1/19\n",
      "LIFNeuron.spike_generator(1/19).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(1/19).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 19,1: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 1/20: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 1/20: 1/20\n",
      "LIFNeuron.spike_generator(1/20).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(1/20).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 20,1: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 1/21: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 1/21: 1/21\n",
      "LIFNeuron.spike_generator(1/21).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(1/21).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 21,1: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 1/22: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 1/22: 1/22\n",
      "LIFNeuron.spike_generator(1/22).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(1/22).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 22,1: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 1/23: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 1/23: 1/23\n",
      "LIFNeuron.spike_generator(1/23).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(1/23).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 23,1: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 1/24: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 1/24: 1/24\n",
      "LIFNeuron.spike_generator(1/24).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(1/24).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 24,1: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 1/25: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 1/25: 1/25\n",
      "LIFNeuron.spike_generator(1/25).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(1/25).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 25,1: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 1/26: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 1/26: 1/26\n",
      "LIFNeuron.spike_generator(1/26).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(1/26).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 26,1: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 1/27: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 1/27: 1/27\n",
      "LIFNeuron.spike_generator(1/27).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(1/27).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 27,1: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 2/0: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 2/0: 2/0\n",
      "LIFNeuron.spike_generator(2/0).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(2/0).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 0,2: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 2/1: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 2/1: 2/1\n",
      "LIFNeuron.spike_generator(2/1).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(2/1).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 1,2: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 2/2: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 2/2: 2/2\n",
      "LIFNeuron.spike_generator(2/2).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(2/2).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 2,2: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 2/3: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 2/3: 2/3\n",
      "LIFNeuron.spike_generator(2/3).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(2/3).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 3,2: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 2/4: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 2/4: 2/4\n",
      "LIFNeuron.spike_generator(2/4).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(2/4).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 4,2: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 2/5: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 2/5: 2/5\n",
      "LIFNeuron.spike_generator(2/5).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(2/5).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 5,2: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 2/6: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 2/6: 2/6\n",
      "LIFNeuron.spike_generator(2/6).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(2/6).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 6,2: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 2/7: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 2/7: 2/7\n",
      "LIFNeuron.spike_generator(2/7).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(2/7).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 7,2: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 2/8: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 2/8: 2/8\n",
      "LIFNeuron.spike_generator(2/8).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(2/8).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 8,2: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 2/9: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 2/9: 2/9\n",
      "LIFNeuron.spike_generator(2/9).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(2/9).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 9,2: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 2/10: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 2/10: 2/10\n",
      "LIFNeuron.spike_generator(2/10).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(2/10).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 10,2: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 2/11: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 2/11: 2/11\n",
      "LIFNeuron.spike_generator(2/11).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(2/11).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 11,2: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 2/12: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 2/12: 2/12\n",
      "LIFNeuron.spike_generator(2/12).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(2/12).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 12,2: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 2/13: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 2/13: 2/13\n",
      "LIFNeuron.spike_generator(2/13).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(2/13).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 13,2: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 2/14: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 2/14: 2/14\n",
      "LIFNeuron.spike_generator(2/14).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(2/14).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 14,2: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 2/15: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 2/15: 2/15\n",
      "LIFNeuron.spike_generator(2/15).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(2/15).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 15,2: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 2/16: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 2/16: 2/16\n",
      "LIFNeuron.spike_generator(2/16).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(2/16).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 16,2: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 2/17: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 2/17: 2/17\n",
      "LIFNeuron.spike_generator(2/17).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(2/17).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 17,2: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 2/18: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 2/18: 2/18\n",
      "LIFNeuron.spike_generator(2/18).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(2/18).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 18,2: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 2/19: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 2/19: 2/19\n",
      "LIFNeuron.spike_generator(2/19).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(2/19).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 19,2: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 2/20: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 2/20: 2/20\n",
      "LIFNeuron.spike_generator(2/20).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(2/20).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 20,2: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 2/21: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 2/21: 2/21\n",
      "LIFNeuron.spike_generator(2/21).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(2/21).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 21,2: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 2/22: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 2/22: 2/22\n",
      "LIFNeuron.spike_generator(2/22).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(2/22).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 22,2: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 2/23: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 2/23: 2/23\n",
      "LIFNeuron.spike_generator(2/23).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(2/23).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 23,2: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 2/24: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 2/24: 2/24\n",
      "LIFNeuron.spike_generator(2/24).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(2/24).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 24,2: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 2/25: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 2/25: 2/25\n",
      "LIFNeuron.spike_generator(2/25).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(2/25).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 25,2: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 2/26: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 2/26: 2/26\n",
      "LIFNeuron.spike_generator(2/26).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(2/26).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 26,2: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 2/27: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 2/27: 2/27\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "LIFNeuron.spike_generator(2/27).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(2/27).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 27,2: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 3/0: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 3/0: 3/0\n",
      "LIFNeuron.spike_generator(3/0).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(3/0).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 0,3: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 3/1: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 3/1: 3/1\n",
      "LIFNeuron.spike_generator(3/1).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(3/1).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 1,3: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 3/2: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 3/2: 3/2\n",
      "LIFNeuron.spike_generator(3/2).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(3/2).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 2,3: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 3/3: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 3/3: 3/3\n",
      "LIFNeuron.spike_generator(3/3).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(3/3).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 3,3: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 3/4: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 3/4: 3/4\n",
      "LIFNeuron.spike_generator(3/4).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(3/4).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 4,3: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 3/5: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 3/5: 3/5\n",
      "LIFNeuron.spike_generator(3/5).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(3/5).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 5,3: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 3/6: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 3/6: 3/6\n",
      "LIFNeuron.spike_generator(3/6).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(3/6).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 6,3: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 3/7: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 3/7: 3/7\n",
      "LIFNeuron.spike_generator(3/7).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(3/7).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 7,3: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 3/8: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 3/8: 3/8\n",
      "LIFNeuron.spike_generator(3/8).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(3/8).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 8,3: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 3/9: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 3/9: 3/9\n",
      "LIFNeuron.spike_generator(3/9).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(3/9).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 9,3: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 3/10: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 3/10: 3/10\n",
      "LIFNeuron.spike_generator(3/10).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(3/10).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 10,3: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 3/11: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 3/11: 3/11\n",
      "LIFNeuron.spike_generator(3/11).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(3/11).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 11,3: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 3/12: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 3/12: 3/12\n",
      "LIFNeuron.spike_generator(3/12).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(3/12).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 12,3: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 3/13: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 3/13: 3/13\n",
      "LIFNeuron.spike_generator(3/13).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(3/13).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 13,3: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 3/14: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 3/14: 3/14\n",
      "LIFNeuron.spike_generator(3/14).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(3/14).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 14,3: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 3/15: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 3/15: 3/15\n",
      "LIFNeuron.spike_generator(3/15).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(3/15).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 15,3: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 3/16: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 3/16: 3/16\n",
      "LIFNeuron.spike_generator(3/16).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(3/16).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 16,3: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 3/17: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 3/17: 3/17\n",
      "LIFNeuron.spike_generator(3/17).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(3/17).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 17,3: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 3/18: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 3/18: 3/18\n",
      "LIFNeuron.spike_generator(3/18).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(3/18).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 18,3: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 3/19: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 3/19: 3/19\n",
      "LIFNeuron.spike_generator(3/19).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(3/19).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 19,3: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 3/20: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 3/20: 3/20\n",
      "LIFNeuron.spike_generator(3/20).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(3/20).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 20,3: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 3/21: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 3/21: 3/21\n",
      "LIFNeuron.spike_generator(3/21).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(3/21).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 21,3: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 3/22: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 3/22: 3/22\n",
      "LIFNeuron.spike_generator(3/22).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(3/22).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 22,3: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 3/23: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 3/23: 3/23\n",
      "LIFNeuron.spike_generator(3/23).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(3/23).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 23,3: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 3/24: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 3/24: 3/24\n",
      "LIFNeuron.spike_generator(3/24).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(3/24).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 24,3: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 3/25: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 3/25: 3/25\n",
      "LIFNeuron.spike_generator(3/25).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(3/25).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 25,3: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 3/26: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 3/26: 3/26\n",
      "LIFNeuron.spike_generator(3/26).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(3/26).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 26,3: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 3/27: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 3/27: 3/27\n",
      "LIFNeuron.spike_generator(3/27).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(3/27).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 27,3: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 4/0: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 4/0: 4/0\n",
      "LIFNeuron.spike_generator(4/0).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(4/0).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 0,4: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 4/1: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 4/1: 4/1\n",
      "LIFNeuron.spike_generator(4/1).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(4/1).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 1,4: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 4/2: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 4/2: 4/2\n",
      "LIFNeuron.spike_generator(4/2).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(4/2).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 2,4: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 4/3: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 4/3: 4/3\n",
      "LIFNeuron.spike_generator(4/3).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(4/3).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 3,4: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 4/4: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 4/4: 4/4\n",
      "LIFNeuron.spike_generator(4/4).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(4/4).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 4,4: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 4/5: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 4/5: 4/5\n",
      "LIFNeuron.spike_generator(4/5).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(4/5).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 5,4: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 4/6: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 4/6: 4/6\n",
      "LIFNeuron.spike_generator(4/6).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(4/6).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 6,4: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 4/7: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 4/7: 4/7\n",
      "LIFNeuron.spike_generator(4/7).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(4/7).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 7,4: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 4/8: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 4/8: 4/8\n",
      "LIFNeuron.spike_generator(4/8).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(4/8).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 8,4: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 4/9: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 4/9: 4/9\n",
      "LIFNeuron.spike_generator(4/9).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(4/9).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 9,4: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 4/10: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 4/10: 4/10\n",
      "LIFNeuron.spike_generator(4/10).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(4/10).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 10,4: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 4/11: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 4/11: 4/11\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "LIFNeuron.spike_generator(4/11).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(4/11).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 11,4: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 4/12: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 4/12: 4/12\n",
      "LIFNeuron.spike_generator(4/12).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(4/12).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 12,4: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 4/13: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 4/13: 4/13\n",
      "LIFNeuron.spike_generator(4/13).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(4/13).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 13,4: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 4/14: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 4/14: 4/14\n",
      "LIFNeuron.spike_generator(4/14).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(4/14).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 14,4: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 4/15: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 4/15: 4/15\n",
      "LIFNeuron.spike_generator(4/15).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(4/15).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 15,4: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 4/16: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 4/16: 4/16\n",
      "LIFNeuron.spike_generator(4/16).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(4/16).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 16,4: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 4/17: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 4/17: 4/17\n",
      "LIFNeuron.spike_generator(4/17).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(4/17).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 17,4: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 4/18: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 4/18: 4/18\n",
      "LIFNeuron.spike_generator(4/18).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(4/18).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 18,4: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 4/19: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 4/19: 4/19\n",
      "LIFNeuron.spike_generator(4/19).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(4/19).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 19,4: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 4/20: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 4/20: 4/20\n",
      "LIFNeuron.spike_generator(4/20).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(4/20).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 20,4: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 4/21: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 4/21: 4/21\n",
      "LIFNeuron.spike_generator(4/21).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(4/21).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 21,4: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 4/22: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 4/22: 4/22\n",
      "LIFNeuron.spike_generator(4/22).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(4/22).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 22,4: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 4/23: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 4/23: 4/23\n",
      "LIFNeuron.spike_generator(4/23).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(4/23).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 23,4: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 4/24: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 4/24: 4/24\n",
      "LIFNeuron.spike_generator(4/24).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(4/24).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 24,4: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 4/25: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 4/25: 4/25\n",
      "LIFNeuron.spike_generator(4/25).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(4/25).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 25,4: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 4/26: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 4/26: 4/26\n",
      "LIFNeuron.spike_generator(4/26).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(4/26).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 26,4: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 4/27: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 4/27: 4/27\n",
      "LIFNeuron.spike_generator(4/27).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(4/27).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 27,4: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 5/0: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 5/0: 5/0\n",
      "LIFNeuron.spike_generator(5/0).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(5/0).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 0,5: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 5/1: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 5/1: 5/1\n",
      "LIFNeuron.spike_generator(5/1).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(5/1).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 1,5: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 5/2: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 5/2: 5/2\n",
      "LIFNeuron.spike_generator(5/2).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(5/2).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 2,5: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 5/3: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 5/3: 5/3\n",
      "LIFNeuron.spike_generator(5/3).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(5/3).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 3,5: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 5/4: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 5/4: 5/4\n",
      "LIFNeuron.spike_generator(5/4).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(5/4).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 4,5: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 5/5: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 5/5: 5/5\n",
      "LIFNeuron.spike_generator(5/5).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(5/5).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 5,5: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 5/6: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 5/6: 5/6\n",
      "LIFNeuron.spike_generator(5/6).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(5/6).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 6,5: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 5/7: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 5/7: 5/7\n",
      "LIFNeuron.spike_generator(5/7).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(5/7).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 7,5: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 5/8: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 5/8: 5/8\n",
      "LIFNeuron.spike_generator(5/8).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(5/8).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 8,5: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 5/9: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 5/9: 5/9\n",
      "LIFNeuron.spike_generator(5/9).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(5/9).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 9,5: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 5/10: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 5/10: 5/10\n",
      "LIFNeuron.spike_generator(5/10).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(5/10).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 10,5: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 5/11: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 5/11: 5/11\n",
      "LIFNeuron.spike_generator(5/11).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(5/11).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 11,5: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 5/12: [ 0.01176471  0.01176471  0.01176471 ...,  0.01176471  0.01176471\n",
      "  0.01176471]\n",
      "Processing spike generator for neuron 5/12: 5/12\n",
      "LIFNeuron.spike_generator(5/12).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(5/12).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 12,5: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 5/13: [ 0.07058824  0.07058824  0.07058824 ...,  0.07058824  0.07058824\n",
      "  0.07058824]\n",
      "Processing spike generator for neuron 5/13: 5/13\n",
      "LIFNeuron.spike_generator(5/13).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(5/13).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 13,5: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 5/14: [ 0.07058824  0.07058824  0.07058824 ...,  0.07058824  0.07058824\n",
      "  0.07058824]\n",
      "Processing spike generator for neuron 5/14: 5/14\n",
      "LIFNeuron.spike_generator(5/14).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(5/14).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 14,5: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 5/15: [ 0.07058824  0.07058824  0.07058824 ...,  0.07058824  0.07058824\n",
      "  0.07058824]\n",
      "Processing spike generator for neuron 5/15: 5/15\n",
      "LIFNeuron.spike_generator(5/15).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(5/15).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 15,5: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 5/16: [ 0.49411765  0.49411765  0.49411765 ...,  0.49411765  0.49411765\n",
      "  0.49411765]\n",
      "Processing spike generator for neuron 5/16: 5/16\n",
      "LIFNeuron.spike_generator(5/16).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(5/16).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 16,5: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 5/17: [ 0.53333333  0.53333333  0.53333333 ...,  0.53333333  0.53333333\n",
      "  0.53333333]\n",
      "Processing spike generator for neuron 5/17: 5/17\n",
      "LIFNeuron.spike_generator(5/17).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(5/17).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 17,5: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 5/18: [ 0.68627451  0.68627451  0.68627451 ...,  0.68627451  0.68627451\n",
      "  0.68627451]\n",
      "Processing spike generator for neuron 5/18: 5/18\n",
      "LIFNeuron.spike_generator(5/18).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(5/18).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 18,5: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 5/19: [ 0.10196078  0.10196078  0.10196078 ...,  0.10196078  0.10196078\n",
      "  0.10196078]\n",
      "Processing spike generator for neuron 5/19: 5/19\n",
      "LIFNeuron.spike_generator(5/19).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(5/19).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 19,5: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 5/20: [ 0.65098039  0.65098039  0.65098039 ...,  0.65098039  0.65098039\n",
      "  0.65098039]\n",
      "Processing spike generator for neuron 5/20: 5/20\n",
      "LIFNeuron.spike_generator(5/20).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(5/20).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 20,5: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 5/21: [ 1.  1.  1. ...,  1.  1.  1.]\n",
      "Processing spike generator for neuron 5/21: 5/21\n",
      "LIFNeuron.spike_generator(5/21).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "*** LIFNeuron.spike_generator(5/21).spike=(self.t_rest=17.875, self.t=13.875, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(5/21).spike=(self.t_rest=35.75, self.t=31.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(5/21).spike=(self.t_rest=53.625, self.t=49.625, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(5/21).spike=(self.t_rest=71.5, self.t=67.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(5/21).spike=(self.t_rest=89.375, self.t=85.375, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(5/21).spike=(self.t_rest=107.25, self.t=103.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(5/21).spike=(self.t_rest=125.125, self.t=121.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(5/21).spike=(self.t_rest=143.0, self.t=139.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(5/21).spike=(self.t_rest=160.875, self.t=156.875, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(5/21).spike=(self.t_rest=178.75, self.t=174.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(5/21).spike=(self.t_rest=196.625, self.t=192.625, self.tau_ref=4)\n",
      "LIFNeuron.spike_generator(5/21).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 21,5: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 5/22: [ 0.96862745  0.96862745  0.96862745 ...,  0.96862745  0.96862745\n",
      "  0.96862745]\n",
      "Processing spike generator for neuron 5/22: 5/22\n",
      "LIFNeuron.spike_generator(5/22).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "*** LIFNeuron.spike_generator(5/22).spike=(self.t_rest=18.875, self.t=14.875, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(5/22).spike=(self.t_rest=37.75, self.t=33.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(5/22).spike=(self.t_rest=56.625, self.t=52.625, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(5/22).spike=(self.t_rest=75.5, self.t=71.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(5/22).spike=(self.t_rest=94.375, self.t=90.375, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(5/22).spike=(self.t_rest=113.25, self.t=109.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(5/22).spike=(self.t_rest=132.125, self.t=128.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(5/22).spike=(self.t_rest=151.0, self.t=147.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(5/22).spike=(self.t_rest=169.875, self.t=165.875, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(5/22).spike=(self.t_rest=188.75, self.t=184.75, self.tau_ref=4)\n",
      "LIFNeuron.spike_generator(5/22).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 22,5: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 5/23: [ 0.49803922  0.49803922  0.49803922 ...,  0.49803922  0.49803922\n",
      "  0.49803922]\n",
      "Processing spike generator for neuron 5/23: 5/23\n",
      "LIFNeuron.spike_generator(5/23).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(5/23).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 23,5: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 5/24: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 5/24: 5/24\n",
      "LIFNeuron.spike_generator(5/24).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(5/24).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 24,5: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 5/25: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 5/25: 5/25\n",
      "LIFNeuron.spike_generator(5/25).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(5/25).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 25,5: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 5/26: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 5/26: 5/26\n",
      "LIFNeuron.spike_generator(5/26).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(5/26).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 26,5: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 5/27: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 5/27: 5/27\n",
      "LIFNeuron.spike_generator(5/27).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(5/27).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 27,5: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 6/0: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 6/0: 6/0\n",
      "LIFNeuron.spike_generator(6/0).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(6/0).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 0,6: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 6/1: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 6/1: 6/1\n",
      "LIFNeuron.spike_generator(6/1).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(6/1).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 1,6: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 6/2: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 6/2: 6/2\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "LIFNeuron.spike_generator(6/2).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(6/2).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 2,6: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 6/3: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 6/3: 6/3\n",
      "LIFNeuron.spike_generator(6/3).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(6/3).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 3,6: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 6/4: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 6/4: 6/4\n",
      "LIFNeuron.spike_generator(6/4).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(6/4).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 4,6: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 6/5: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 6/5: 6/5\n",
      "LIFNeuron.spike_generator(6/5).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(6/5).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 5,6: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 6/6: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 6/6: 6/6\n",
      "LIFNeuron.spike_generator(6/6).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(6/6).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 6,6: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 6/7: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 6/7: 6/7\n",
      "LIFNeuron.spike_generator(6/7).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(6/7).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 7,6: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 6/8: [ 0.11764706  0.11764706  0.11764706 ...,  0.11764706  0.11764706\n",
      "  0.11764706]\n",
      "Processing spike generator for neuron 6/8: 6/8\n",
      "LIFNeuron.spike_generator(6/8).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(6/8).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 8,6: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 6/9: [ 0.14117647  0.14117647  0.14117647 ...,  0.14117647  0.14117647\n",
      "  0.14117647]\n",
      "Processing spike generator for neuron 6/9: 6/9\n",
      "LIFNeuron.spike_generator(6/9).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(6/9).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 9,6: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 6/10: [ 0.36862745  0.36862745  0.36862745 ...,  0.36862745  0.36862745\n",
      "  0.36862745]\n",
      "Processing spike generator for neuron 6/10: 6/10\n",
      "LIFNeuron.spike_generator(6/10).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(6/10).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 10,6: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 6/11: [ 0.60392157  0.60392157  0.60392157 ...,  0.60392157  0.60392157\n",
      "  0.60392157]\n",
      "Processing spike generator for neuron 6/11: 6/11\n",
      "LIFNeuron.spike_generator(6/11).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(6/11).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 11,6: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 6/12: [ 0.66666667  0.66666667  0.66666667 ...,  0.66666667  0.66666667\n",
      "  0.66666667]\n",
      "Processing spike generator for neuron 6/12: 6/12\n",
      "LIFNeuron.spike_generator(6/12).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(6/12).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 12,6: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 6/13: [ 0.99215686  0.99215686  0.99215686 ...,  0.99215686  0.99215686\n",
      "  0.99215686]\n",
      "Processing spike generator for neuron 6/13: 6/13\n",
      "LIFNeuron.spike_generator(6/13).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "*** LIFNeuron.spike_generator(6/13).spike=(self.t_rest=18.125, self.t=14.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(6/13).spike=(self.t_rest=36.25, self.t=32.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(6/13).spike=(self.t_rest=54.375, self.t=50.375, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(6/13).spike=(self.t_rest=72.5, self.t=68.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(6/13).spike=(self.t_rest=90.625, self.t=86.625, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(6/13).spike=(self.t_rest=108.75, self.t=104.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(6/13).spike=(self.t_rest=126.875, self.t=122.875, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(6/13).spike=(self.t_rest=145.0, self.t=141.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(6/13).spike=(self.t_rest=163.125, self.t=159.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(6/13).spike=(self.t_rest=181.25, self.t=177.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(6/13).spike=(self.t_rest=199.375, self.t=195.375, self.tau_ref=4)\n",
      "LIFNeuron.spike_generator(6/13).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 13,6: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 6/14: [ 0.99215686  0.99215686  0.99215686 ...,  0.99215686  0.99215686\n",
      "  0.99215686]\n",
      "Processing spike generator for neuron 6/14: 6/14\n",
      "LIFNeuron.spike_generator(6/14).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "*** LIFNeuron.spike_generator(6/14).spike=(self.t_rest=18.125, self.t=14.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(6/14).spike=(self.t_rest=36.25, self.t=32.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(6/14).spike=(self.t_rest=54.375, self.t=50.375, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(6/14).spike=(self.t_rest=72.5, self.t=68.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(6/14).spike=(self.t_rest=90.625, self.t=86.625, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(6/14).spike=(self.t_rest=108.75, self.t=104.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(6/14).spike=(self.t_rest=126.875, self.t=122.875, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(6/14).spike=(self.t_rest=145.0, self.t=141.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(6/14).spike=(self.t_rest=163.125, self.t=159.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(6/14).spike=(self.t_rest=181.25, self.t=177.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(6/14).spike=(self.t_rest=199.375, self.t=195.375, self.tau_ref=4)\n",
      "LIFNeuron.spike_generator(6/14).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 14,6: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 6/15: [ 0.99215686  0.99215686  0.99215686 ...,  0.99215686  0.99215686\n",
      "  0.99215686]\n",
      "Processing spike generator for neuron 6/15: 6/15\n",
      "LIFNeuron.spike_generator(6/15).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "*** LIFNeuron.spike_generator(6/15).spike=(self.t_rest=18.125, self.t=14.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(6/15).spike=(self.t_rest=36.25, self.t=32.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(6/15).spike=(self.t_rest=54.375, self.t=50.375, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(6/15).spike=(self.t_rest=72.5, self.t=68.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(6/15).spike=(self.t_rest=90.625, self.t=86.625, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(6/15).spike=(self.t_rest=108.75, self.t=104.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(6/15).spike=(self.t_rest=126.875, self.t=122.875, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(6/15).spike=(self.t_rest=145.0, self.t=141.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(6/15).spike=(self.t_rest=163.125, self.t=159.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(6/15).spike=(self.t_rest=181.25, self.t=177.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(6/15).spike=(self.t_rest=199.375, self.t=195.375, self.tau_ref=4)\n",
      "LIFNeuron.spike_generator(6/15).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 15,6: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 6/16: [ 0.99215686  0.99215686  0.99215686 ...,  0.99215686  0.99215686\n",
      "  0.99215686]\n",
      "Processing spike generator for neuron 6/16: 6/16\n",
      "LIFNeuron.spike_generator(6/16).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "*** LIFNeuron.spike_generator(6/16).spike=(self.t_rest=18.125, self.t=14.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(6/16).spike=(self.t_rest=36.25, self.t=32.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(6/16).spike=(self.t_rest=54.375, self.t=50.375, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(6/16).spike=(self.t_rest=72.5, self.t=68.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(6/16).spike=(self.t_rest=90.625, self.t=86.625, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(6/16).spike=(self.t_rest=108.75, self.t=104.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(6/16).spike=(self.t_rest=126.875, self.t=122.875, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(6/16).spike=(self.t_rest=145.0, self.t=141.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(6/16).spike=(self.t_rest=163.125, self.t=159.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(6/16).spike=(self.t_rest=181.25, self.t=177.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(6/16).spike=(self.t_rest=199.375, self.t=195.375, self.tau_ref=4)\n",
      "LIFNeuron.spike_generator(6/16).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 16,6: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 6/17: [ 0.99215686  0.99215686  0.99215686 ...,  0.99215686  0.99215686\n",
      "  0.99215686]\n",
      "Processing spike generator for neuron 6/17: 6/17\n",
      "LIFNeuron.spike_generator(6/17).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "*** LIFNeuron.spike_generator(6/17).spike=(self.t_rest=18.125, self.t=14.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(6/17).spike=(self.t_rest=36.25, self.t=32.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(6/17).spike=(self.t_rest=54.375, self.t=50.375, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(6/17).spike=(self.t_rest=72.5, self.t=68.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(6/17).spike=(self.t_rest=90.625, self.t=86.625, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(6/17).spike=(self.t_rest=108.75, self.t=104.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(6/17).spike=(self.t_rest=126.875, self.t=122.875, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(6/17).spike=(self.t_rest=145.0, self.t=141.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(6/17).spike=(self.t_rest=163.125, self.t=159.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(6/17).spike=(self.t_rest=181.25, self.t=177.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(6/17).spike=(self.t_rest=199.375, self.t=195.375, self.tau_ref=4)\n",
      "LIFNeuron.spike_generator(6/17).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 17,6: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 6/18: [ 0.88235294  0.88235294  0.88235294 ...,  0.88235294  0.88235294\n",
      "  0.88235294]\n",
      "Processing spike generator for neuron 6/18: 6/18\n",
      "LIFNeuron.spike_generator(6/18).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "*** LIFNeuron.spike_generator(6/18).spike=(self.t_rest=22.875, self.t=18.875, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(6/18).spike=(self.t_rest=45.75, self.t=41.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(6/18).spike=(self.t_rest=68.625, self.t=64.625, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(6/18).spike=(self.t_rest=91.5, self.t=87.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(6/18).spike=(self.t_rest=114.375, self.t=110.375, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(6/18).spike=(self.t_rest=137.25, self.t=133.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(6/18).spike=(self.t_rest=160.125, self.t=156.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(6/18).spike=(self.t_rest=183.0, self.t=179.0, self.tau_ref=4)\n",
      "LIFNeuron.spike_generator(6/18).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 18,6: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 6/19: [ 0.6745098  0.6745098  0.6745098 ...,  0.6745098  0.6745098  0.6745098]\n",
      "Processing spike generator for neuron 6/19: 6/19\n",
      "LIFNeuron.spike_generator(6/19).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(6/19).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 19,6: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 6/20: [ 0.99215686  0.99215686  0.99215686 ...,  0.99215686  0.99215686\n",
      "  0.99215686]\n",
      "Processing spike generator for neuron 6/20: 6/20\n",
      "LIFNeuron.spike_generator(6/20).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "*** LIFNeuron.spike_generator(6/20).spike=(self.t_rest=18.125, self.t=14.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(6/20).spike=(self.t_rest=36.25, self.t=32.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(6/20).spike=(self.t_rest=54.375, self.t=50.375, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(6/20).spike=(self.t_rest=72.5, self.t=68.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(6/20).spike=(self.t_rest=90.625, self.t=86.625, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(6/20).spike=(self.t_rest=108.75, self.t=104.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(6/20).spike=(self.t_rest=126.875, self.t=122.875, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(6/20).spike=(self.t_rest=145.0, self.t=141.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(6/20).spike=(self.t_rest=163.125, self.t=159.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(6/20).spike=(self.t_rest=181.25, self.t=177.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(6/20).spike=(self.t_rest=199.375, self.t=195.375, self.tau_ref=4)\n",
      "LIFNeuron.spike_generator(6/20).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 20,6: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 6/21: [ 0.94901961  0.94901961  0.94901961 ...,  0.94901961  0.94901961\n",
      "  0.94901961]\n",
      "Processing spike generator for neuron 6/21: 6/21\n",
      "LIFNeuron.spike_generator(6/21).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "*** LIFNeuron.spike_generator(6/21).spike=(self.t_rest=19.625, self.t=15.625, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(6/21).spike=(self.t_rest=39.25, self.t=35.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(6/21).spike=(self.t_rest=58.875, self.t=54.875, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(6/21).spike=(self.t_rest=78.5, self.t=74.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(6/21).spike=(self.t_rest=98.125, self.t=94.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(6/21).spike=(self.t_rest=117.75, self.t=113.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(6/21).spike=(self.t_rest=137.375, self.t=133.375, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(6/21).spike=(self.t_rest=157.0, self.t=153.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(6/21).spike=(self.t_rest=176.625, self.t=172.625, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(6/21).spike=(self.t_rest=196.25, self.t=192.25, self.tau_ref=4)\n",
      "LIFNeuron.spike_generator(6/21).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 21,6: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 6/22: [ 0.76470588  0.76470588  0.76470588 ...,  0.76470588  0.76470588\n",
      "  0.76470588]\n",
      "Processing spike generator for neuron 6/22: 6/22\n",
      "LIFNeuron.spike_generator(6/22).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "*** LIFNeuron.spike_generator(6/22).spike=(self.t_rest=43.375, self.t=39.375, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(6/22).spike=(self.t_rest=86.75, self.t=82.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(6/22).spike=(self.t_rest=130.125, self.t=126.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(6/22).spike=(self.t_rest=173.5, self.t=169.5, self.tau_ref=4)\n",
      "LIFNeuron.spike_generator(6/22).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 22,6: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 6/23: [ 0.25098039  0.25098039  0.25098039 ...,  0.25098039  0.25098039\n",
      "  0.25098039]\n",
      "Processing spike generator for neuron 6/23: 6/23\n",
      "LIFNeuron.spike_generator(6/23).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(6/23).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 23,6: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 6/24: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 6/24: 6/24\n",
      "LIFNeuron.spike_generator(6/24).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(6/24).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 24,6: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 6/25: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 6/25: 6/25\n",
      "LIFNeuron.spike_generator(6/25).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(6/25).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 25,6: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 6/26: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 6/26: 6/26\n",
      "LIFNeuron.spike_generator(6/26).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(6/26).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 26,6: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 6/27: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 6/27: 6/27\n",
      "LIFNeuron.spike_generator(6/27).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(6/27).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 27,6: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 7/0: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 7/0: 7/0\n",
      "LIFNeuron.spike_generator(7/0).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(7/0).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 0,7: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 7/1: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 7/1: 7/1\n",
      "LIFNeuron.spike_generator(7/1).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(7/1).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 1,7: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 7/2: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 7/2: 7/2\n",
      "LIFNeuron.spike_generator(7/2).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(7/2).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 2,7: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 7/3: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 7/3: 7/3\n",
      "LIFNeuron.spike_generator(7/3).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(7/3).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 3,7: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 7/4: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 7/4: 7/4\n",
      "LIFNeuron.spike_generator(7/4).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(7/4).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 4,7: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 7/5: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 7/5: 7/5\n",
      "LIFNeuron.spike_generator(7/5).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(7/5).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 5,7: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 7/6: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 7/6: 7/6\n",
      "LIFNeuron.spike_generator(7/6).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(7/6).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 6,7: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 7/7: [ 0.19215686  0.19215686  0.19215686 ...,  0.19215686  0.19215686\n",
      "  0.19215686]\n",
      "Processing spike generator for neuron 7/7: 7/7\n",
      "LIFNeuron.spike_generator(7/7).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(7/7).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 7,7: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 7/8: [ 0.93333333  0.93333333  0.93333333 ...,  0.93333333  0.93333333\n",
      "  0.93333333]\n",
      "Processing spike generator for neuron 7/8: 7/8\n",
      "LIFNeuron.spike_generator(7/8).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "*** LIFNeuron.spike_generator(7/8).spike=(self.t_rest=20.25, self.t=16.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(7/8).spike=(self.t_rest=40.5, self.t=36.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(7/8).spike=(self.t_rest=60.75, self.t=56.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(7/8).spike=(self.t_rest=81.0, self.t=77.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(7/8).spike=(self.t_rest=101.25, self.t=97.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(7/8).spike=(self.t_rest=121.5, self.t=117.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(7/8).spike=(self.t_rest=141.75, self.t=137.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(7/8).spike=(self.t_rest=162.0, self.t=158.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(7/8).spike=(self.t_rest=182.25, self.t=178.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(7/8).spike=(self.t_rest=202.5, self.t=198.5, self.tau_ref=4)\n",
      "LIFNeuron.spike_generator(7/8).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 8,7: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 7/9: [ 0.99215686  0.99215686  0.99215686 ...,  0.99215686  0.99215686\n",
      "  0.99215686]\n",
      "Processing spike generator for neuron 7/9: 7/9\n",
      "LIFNeuron.spike_generator(7/9).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "*** LIFNeuron.spike_generator(7/9).spike=(self.t_rest=18.125, self.t=14.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(7/9).spike=(self.t_rest=36.25, self.t=32.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(7/9).spike=(self.t_rest=54.375, self.t=50.375, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(7/9).spike=(self.t_rest=72.5, self.t=68.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(7/9).spike=(self.t_rest=90.625, self.t=86.625, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(7/9).spike=(self.t_rest=108.75, self.t=104.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(7/9).spike=(self.t_rest=126.875, self.t=122.875, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(7/9).spike=(self.t_rest=145.0, self.t=141.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(7/9).spike=(self.t_rest=163.125, self.t=159.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(7/9).spike=(self.t_rest=181.25, self.t=177.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(7/9).spike=(self.t_rest=199.375, self.t=195.375, self.tau_ref=4)\n",
      "LIFNeuron.spike_generator(7/9).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 9,7: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 7/10: [ 0.99215686  0.99215686  0.99215686 ...,  0.99215686  0.99215686\n",
      "  0.99215686]\n",
      "Processing spike generator for neuron 7/10: 7/10\n",
      "LIFNeuron.spike_generator(7/10).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "*** LIFNeuron.spike_generator(7/10).spike=(self.t_rest=18.125, self.t=14.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(7/10).spike=(self.t_rest=36.25, self.t=32.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(7/10).spike=(self.t_rest=54.375, self.t=50.375, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(7/10).spike=(self.t_rest=72.5, self.t=68.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(7/10).spike=(self.t_rest=90.625, self.t=86.625, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(7/10).spike=(self.t_rest=108.75, self.t=104.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(7/10).spike=(self.t_rest=126.875, self.t=122.875, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(7/10).spike=(self.t_rest=145.0, self.t=141.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(7/10).spike=(self.t_rest=163.125, self.t=159.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(7/10).spike=(self.t_rest=181.25, self.t=177.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(7/10).spike=(self.t_rest=199.375, self.t=195.375, self.tau_ref=4)\n",
      "LIFNeuron.spike_generator(7/10).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 10,7: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 7/11: [ 0.99215686  0.99215686  0.99215686 ...,  0.99215686  0.99215686\n",
      "  0.99215686]\n",
      "Processing spike generator for neuron 7/11: 7/11\n",
      "LIFNeuron.spike_generator(7/11).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "*** LIFNeuron.spike_generator(7/11).spike=(self.t_rest=18.125, self.t=14.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(7/11).spike=(self.t_rest=36.25, self.t=32.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(7/11).spike=(self.t_rest=54.375, self.t=50.375, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(7/11).spike=(self.t_rest=72.5, self.t=68.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(7/11).spike=(self.t_rest=90.625, self.t=86.625, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(7/11).spike=(self.t_rest=108.75, self.t=104.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(7/11).spike=(self.t_rest=126.875, self.t=122.875, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(7/11).spike=(self.t_rest=145.0, self.t=141.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(7/11).spike=(self.t_rest=163.125, self.t=159.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(7/11).spike=(self.t_rest=181.25, self.t=177.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(7/11).spike=(self.t_rest=199.375, self.t=195.375, self.tau_ref=4)\n",
      "LIFNeuron.spike_generator(7/11).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 11,7: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 7/12: [ 0.99215686  0.99215686  0.99215686 ...,  0.99215686  0.99215686\n",
      "  0.99215686]\n",
      "Processing spike generator for neuron 7/12: 7/12\n",
      "LIFNeuron.spike_generator(7/12).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "*** LIFNeuron.spike_generator(7/12).spike=(self.t_rest=18.125, self.t=14.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(7/12).spike=(self.t_rest=36.25, self.t=32.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(7/12).spike=(self.t_rest=54.375, self.t=50.375, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(7/12).spike=(self.t_rest=72.5, self.t=68.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(7/12).spike=(self.t_rest=90.625, self.t=86.625, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(7/12).spike=(self.t_rest=108.75, self.t=104.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(7/12).spike=(self.t_rest=126.875, self.t=122.875, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(7/12).spike=(self.t_rest=145.0, self.t=141.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(7/12).spike=(self.t_rest=163.125, self.t=159.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(7/12).spike=(self.t_rest=181.25, self.t=177.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(7/12).spike=(self.t_rest=199.375, self.t=195.375, self.tau_ref=4)\n",
      "LIFNeuron.spike_generator(7/12).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 12,7: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 7/13: [ 0.99215686  0.99215686  0.99215686 ...,  0.99215686  0.99215686\n",
      "  0.99215686]\n",
      "Processing spike generator for neuron 7/13: 7/13\n",
      "LIFNeuron.spike_generator(7/13).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "*** LIFNeuron.spike_generator(7/13).spike=(self.t_rest=18.125, self.t=14.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(7/13).spike=(self.t_rest=36.25, self.t=32.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(7/13).spike=(self.t_rest=54.375, self.t=50.375, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(7/13).spike=(self.t_rest=72.5, self.t=68.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(7/13).spike=(self.t_rest=90.625, self.t=86.625, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(7/13).spike=(self.t_rest=108.75, self.t=104.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(7/13).spike=(self.t_rest=126.875, self.t=122.875, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(7/13).spike=(self.t_rest=145.0, self.t=141.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(7/13).spike=(self.t_rest=163.125, self.t=159.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(7/13).spike=(self.t_rest=181.25, self.t=177.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(7/13).spike=(self.t_rest=199.375, self.t=195.375, self.tau_ref=4)\n",
      "LIFNeuron.spike_generator(7/13).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 13,7: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 7/14: [ 0.99215686  0.99215686  0.99215686 ...,  0.99215686  0.99215686\n",
      "  0.99215686]\n",
      "Processing spike generator for neuron 7/14: 7/14\n",
      "LIFNeuron.spike_generator(7/14).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "*** LIFNeuron.spike_generator(7/14).spike=(self.t_rest=18.125, self.t=14.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(7/14).spike=(self.t_rest=36.25, self.t=32.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(7/14).spike=(self.t_rest=54.375, self.t=50.375, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(7/14).spike=(self.t_rest=72.5, self.t=68.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(7/14).spike=(self.t_rest=90.625, self.t=86.625, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(7/14).spike=(self.t_rest=108.75, self.t=104.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(7/14).spike=(self.t_rest=126.875, self.t=122.875, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(7/14).spike=(self.t_rest=145.0, self.t=141.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(7/14).spike=(self.t_rest=163.125, self.t=159.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(7/14).spike=(self.t_rest=181.25, self.t=177.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(7/14).spike=(self.t_rest=199.375, self.t=195.375, self.tau_ref=4)\n",
      "LIFNeuron.spike_generator(7/14).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 14,7: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 7/15: [ 0.99215686  0.99215686  0.99215686 ...,  0.99215686  0.99215686\n",
      "  0.99215686]\n",
      "Processing spike generator for neuron 7/15: 7/15\n",
      "LIFNeuron.spike_generator(7/15).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "*** LIFNeuron.spike_generator(7/15).spike=(self.t_rest=18.125, self.t=14.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(7/15).spike=(self.t_rest=36.25, self.t=32.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(7/15).spike=(self.t_rest=54.375, self.t=50.375, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(7/15).spike=(self.t_rest=72.5, self.t=68.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(7/15).spike=(self.t_rest=90.625, self.t=86.625, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(7/15).spike=(self.t_rest=108.75, self.t=104.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(7/15).spike=(self.t_rest=126.875, self.t=122.875, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(7/15).spike=(self.t_rest=145.0, self.t=141.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(7/15).spike=(self.t_rest=163.125, self.t=159.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(7/15).spike=(self.t_rest=181.25, self.t=177.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(7/15).spike=(self.t_rest=199.375, self.t=195.375, self.tau_ref=4)\n",
      "LIFNeuron.spike_generator(7/15).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 15,7: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 7/16: [ 0.99215686  0.99215686  0.99215686 ...,  0.99215686  0.99215686\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  0.99215686]\n",
      "Processing spike generator for neuron 7/16: 7/16\n",
      "LIFNeuron.spike_generator(7/16).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "*** LIFNeuron.spike_generator(7/16).spike=(self.t_rest=18.125, self.t=14.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(7/16).spike=(self.t_rest=36.25, self.t=32.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(7/16).spike=(self.t_rest=54.375, self.t=50.375, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(7/16).spike=(self.t_rest=72.5, self.t=68.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(7/16).spike=(self.t_rest=90.625, self.t=86.625, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(7/16).spike=(self.t_rest=108.75, self.t=104.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(7/16).spike=(self.t_rest=126.875, self.t=122.875, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(7/16).spike=(self.t_rest=145.0, self.t=141.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(7/16).spike=(self.t_rest=163.125, self.t=159.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(7/16).spike=(self.t_rest=181.25, self.t=177.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(7/16).spike=(self.t_rest=199.375, self.t=195.375, self.tau_ref=4)\n",
      "LIFNeuron.spike_generator(7/16).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 16,7: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 7/17: [ 0.98431373  0.98431373  0.98431373 ...,  0.98431373  0.98431373\n",
      "  0.98431373]\n",
      "Processing spike generator for neuron 7/17: 7/17\n",
      "LIFNeuron.spike_generator(7/17).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "*** LIFNeuron.spike_generator(7/17).spike=(self.t_rest=18.375, self.t=14.375, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(7/17).spike=(self.t_rest=36.75, self.t=32.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(7/17).spike=(self.t_rest=55.125, self.t=51.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(7/17).spike=(self.t_rest=73.5, self.t=69.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(7/17).spike=(self.t_rest=91.875, self.t=87.875, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(7/17).spike=(self.t_rest=110.25, self.t=106.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(7/17).spike=(self.t_rest=128.625, self.t=124.625, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(7/17).spike=(self.t_rest=147.0, self.t=143.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(7/17).spike=(self.t_rest=165.375, self.t=161.375, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(7/17).spike=(self.t_rest=183.75, self.t=179.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(7/17).spike=(self.t_rest=202.125, self.t=198.125, self.tau_ref=4)\n",
      "LIFNeuron.spike_generator(7/17).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 17,7: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 7/18: [ 0.36470588  0.36470588  0.36470588 ...,  0.36470588  0.36470588\n",
      "  0.36470588]\n",
      "Processing spike generator for neuron 7/18: 7/18\n",
      "LIFNeuron.spike_generator(7/18).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(7/18).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 18,7: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 7/19: [ 0.32156863  0.32156863  0.32156863 ...,  0.32156863  0.32156863\n",
      "  0.32156863]\n",
      "Processing spike generator for neuron 7/19: 7/19\n",
      "LIFNeuron.spike_generator(7/19).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(7/19).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 19,7: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 7/20: [ 0.32156863  0.32156863  0.32156863 ...,  0.32156863  0.32156863\n",
      "  0.32156863]\n",
      "Processing spike generator for neuron 7/20: 7/20\n",
      "LIFNeuron.spike_generator(7/20).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(7/20).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 20,7: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 7/21: [ 0.21960784  0.21960784  0.21960784 ...,  0.21960784  0.21960784\n",
      "  0.21960784]\n",
      "Processing spike generator for neuron 7/21: 7/21\n",
      "LIFNeuron.spike_generator(7/21).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(7/21).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 21,7: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 7/22: [ 0.15294118  0.15294118  0.15294118 ...,  0.15294118  0.15294118\n",
      "  0.15294118]\n",
      "Processing spike generator for neuron 7/22: 7/22\n",
      "LIFNeuron.spike_generator(7/22).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(7/22).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 22,7: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 7/23: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 7/23: 7/23\n",
      "LIFNeuron.spike_generator(7/23).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(7/23).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 23,7: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 7/24: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 7/24: 7/24\n",
      "LIFNeuron.spike_generator(7/24).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(7/24).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 24,7: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 7/25: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 7/25: 7/25\n",
      "LIFNeuron.spike_generator(7/25).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(7/25).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 25,7: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 7/26: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 7/26: 7/26\n",
      "LIFNeuron.spike_generator(7/26).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(7/26).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 26,7: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 7/27: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 7/27: 7/27\n",
      "LIFNeuron.spike_generator(7/27).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(7/27).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 27,7: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 8/0: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 8/0: 8/0\n",
      "LIFNeuron.spike_generator(8/0).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(8/0).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 0,8: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 8/1: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 8/1: 8/1\n",
      "LIFNeuron.spike_generator(8/1).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(8/1).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 1,8: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 8/2: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 8/2: 8/2\n",
      "LIFNeuron.spike_generator(8/2).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(8/2).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 2,8: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 8/3: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 8/3: 8/3\n",
      "LIFNeuron.spike_generator(8/3).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(8/3).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 3,8: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 8/4: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 8/4: 8/4\n",
      "LIFNeuron.spike_generator(8/4).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(8/4).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 4,8: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 8/5: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 8/5: 8/5\n",
      "LIFNeuron.spike_generator(8/5).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(8/5).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 5,8: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 8/6: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 8/6: 8/6\n",
      "LIFNeuron.spike_generator(8/6).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(8/6).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 6,8: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 8/7: [ 0.07058824  0.07058824  0.07058824 ...,  0.07058824  0.07058824\n",
      "  0.07058824]\n",
      "Processing spike generator for neuron 8/7: 8/7\n",
      "LIFNeuron.spike_generator(8/7).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(8/7).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 7,8: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 8/8: [ 0.85882353  0.85882353  0.85882353 ...,  0.85882353  0.85882353\n",
      "  0.85882353]\n",
      "Processing spike generator for neuron 8/8: 8/8\n",
      "LIFNeuron.spike_generator(8/8).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "*** LIFNeuron.spike_generator(8/8).spike=(self.t_rest=24.625, self.t=20.625, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(8/8).spike=(self.t_rest=49.25, self.t=45.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(8/8).spike=(self.t_rest=73.875, self.t=69.875, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(8/8).spike=(self.t_rest=98.5, self.t=94.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(8/8).spike=(self.t_rest=123.125, self.t=119.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(8/8).spike=(self.t_rest=147.75, self.t=143.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(8/8).spike=(self.t_rest=172.375, self.t=168.375, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(8/8).spike=(self.t_rest=197.0, self.t=193.0, self.tau_ref=4)\n",
      "LIFNeuron.spike_generator(8/8).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 8,8: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 8/9: [ 0.99215686  0.99215686  0.99215686 ...,  0.99215686  0.99215686\n",
      "  0.99215686]\n",
      "Processing spike generator for neuron 8/9: 8/9\n",
      "LIFNeuron.spike_generator(8/9).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "*** LIFNeuron.spike_generator(8/9).spike=(self.t_rest=18.125, self.t=14.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(8/9).spike=(self.t_rest=36.25, self.t=32.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(8/9).spike=(self.t_rest=54.375, self.t=50.375, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(8/9).spike=(self.t_rest=72.5, self.t=68.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(8/9).spike=(self.t_rest=90.625, self.t=86.625, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(8/9).spike=(self.t_rest=108.75, self.t=104.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(8/9).spike=(self.t_rest=126.875, self.t=122.875, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(8/9).spike=(self.t_rest=145.0, self.t=141.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(8/9).spike=(self.t_rest=163.125, self.t=159.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(8/9).spike=(self.t_rest=181.25, self.t=177.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(8/9).spike=(self.t_rest=199.375, self.t=195.375, self.tau_ref=4)\n",
      "LIFNeuron.spike_generator(8/9).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 9,8: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 8/10: [ 0.99215686  0.99215686  0.99215686 ...,  0.99215686  0.99215686\n",
      "  0.99215686]\n",
      "Processing spike generator for neuron 8/10: 8/10\n",
      "LIFNeuron.spike_generator(8/10).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "*** LIFNeuron.spike_generator(8/10).spike=(self.t_rest=18.125, self.t=14.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(8/10).spike=(self.t_rest=36.25, self.t=32.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(8/10).spike=(self.t_rest=54.375, self.t=50.375, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(8/10).spike=(self.t_rest=72.5, self.t=68.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(8/10).spike=(self.t_rest=90.625, self.t=86.625, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(8/10).spike=(self.t_rest=108.75, self.t=104.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(8/10).spike=(self.t_rest=126.875, self.t=122.875, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(8/10).spike=(self.t_rest=145.0, self.t=141.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(8/10).spike=(self.t_rest=163.125, self.t=159.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(8/10).spike=(self.t_rest=181.25, self.t=177.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(8/10).spike=(self.t_rest=199.375, self.t=195.375, self.tau_ref=4)\n",
      "LIFNeuron.spike_generator(8/10).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 10,8: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 8/11: [ 0.99215686  0.99215686  0.99215686 ...,  0.99215686  0.99215686\n",
      "  0.99215686]\n",
      "Processing spike generator for neuron 8/11: 8/11\n",
      "LIFNeuron.spike_generator(8/11).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "*** LIFNeuron.spike_generator(8/11).spike=(self.t_rest=18.125, self.t=14.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(8/11).spike=(self.t_rest=36.25, self.t=32.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(8/11).spike=(self.t_rest=54.375, self.t=50.375, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(8/11).spike=(self.t_rest=72.5, self.t=68.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(8/11).spike=(self.t_rest=90.625, self.t=86.625, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(8/11).spike=(self.t_rest=108.75, self.t=104.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(8/11).spike=(self.t_rest=126.875, self.t=122.875, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(8/11).spike=(self.t_rest=145.0, self.t=141.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(8/11).spike=(self.t_rest=163.125, self.t=159.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(8/11).spike=(self.t_rest=181.25, self.t=177.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(8/11).spike=(self.t_rest=199.375, self.t=195.375, self.tau_ref=4)\n",
      "LIFNeuron.spike_generator(8/11).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 11,8: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 8/12: [ 0.99215686  0.99215686  0.99215686 ...,  0.99215686  0.99215686\n",
      "  0.99215686]\n",
      "Processing spike generator for neuron 8/12: 8/12\n",
      "LIFNeuron.spike_generator(8/12).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "*** LIFNeuron.spike_generator(8/12).spike=(self.t_rest=18.125, self.t=14.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(8/12).spike=(self.t_rest=36.25, self.t=32.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(8/12).spike=(self.t_rest=54.375, self.t=50.375, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(8/12).spike=(self.t_rest=72.5, self.t=68.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(8/12).spike=(self.t_rest=90.625, self.t=86.625, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(8/12).spike=(self.t_rest=108.75, self.t=104.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(8/12).spike=(self.t_rest=126.875, self.t=122.875, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(8/12).spike=(self.t_rest=145.0, self.t=141.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(8/12).spike=(self.t_rest=163.125, self.t=159.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(8/12).spike=(self.t_rest=181.25, self.t=177.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(8/12).spike=(self.t_rest=199.375, self.t=195.375, self.tau_ref=4)\n",
      "LIFNeuron.spike_generator(8/12).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 12,8: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 8/13: [ 0.99215686  0.99215686  0.99215686 ...,  0.99215686  0.99215686\n",
      "  0.99215686]\n",
      "Processing spike generator for neuron 8/13: 8/13\n",
      "LIFNeuron.spike_generator(8/13).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "*** LIFNeuron.spike_generator(8/13).spike=(self.t_rest=18.125, self.t=14.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(8/13).spike=(self.t_rest=36.25, self.t=32.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(8/13).spike=(self.t_rest=54.375, self.t=50.375, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(8/13).spike=(self.t_rest=72.5, self.t=68.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(8/13).spike=(self.t_rest=90.625, self.t=86.625, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(8/13).spike=(self.t_rest=108.75, self.t=104.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(8/13).spike=(self.t_rest=126.875, self.t=122.875, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(8/13).spike=(self.t_rest=145.0, self.t=141.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(8/13).spike=(self.t_rest=163.125, self.t=159.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(8/13).spike=(self.t_rest=181.25, self.t=177.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(8/13).spike=(self.t_rest=199.375, self.t=195.375, self.tau_ref=4)\n",
      "LIFNeuron.spike_generator(8/13).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 13,8: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 8/14: [ 0.77647059  0.77647059  0.77647059 ...,  0.77647059  0.77647059\n",
      "  0.77647059]\n",
      "Processing spike generator for neuron 8/14: 8/14\n",
      "LIFNeuron.spike_generator(8/14).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "*** LIFNeuron.spike_generator(8/14).spike=(self.t_rest=37.625, self.t=33.625, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(8/14).spike=(self.t_rest=75.25, self.t=71.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(8/14).spike=(self.t_rest=112.875, self.t=108.875, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(8/14).spike=(self.t_rest=150.5, self.t=146.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(8/14).spike=(self.t_rest=188.125, self.t=184.125, self.tau_ref=4)\n",
      "LIFNeuron.spike_generator(8/14).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 14,8: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 8/15: [ 0.71372549  0.71372549  0.71372549 ...,  0.71372549  0.71372549\n",
      "  0.71372549]\n",
      "Processing spike generator for neuron 8/15: 8/15\n",
      "LIFNeuron.spike_generator(8/15).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(8/15).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 15,8: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 8/16: [ 0.96862745  0.96862745  0.96862745 ...,  0.96862745  0.96862745\n",
      "  0.96862745]\n",
      "Processing spike generator for neuron 8/16: 8/16\n",
      "LIFNeuron.spike_generator(8/16).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "*** LIFNeuron.spike_generator(8/16).spike=(self.t_rest=18.875, self.t=14.875, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(8/16).spike=(self.t_rest=37.75, self.t=33.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(8/16).spike=(self.t_rest=56.625, self.t=52.625, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(8/16).spike=(self.t_rest=75.5, self.t=71.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(8/16).spike=(self.t_rest=94.375, self.t=90.375, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(8/16).spike=(self.t_rest=113.25, self.t=109.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(8/16).spike=(self.t_rest=132.125, self.t=128.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(8/16).spike=(self.t_rest=151.0, self.t=147.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(8/16).spike=(self.t_rest=169.875, self.t=165.875, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(8/16).spike=(self.t_rest=188.75, self.t=184.75, self.tau_ref=4)\n",
      "LIFNeuron.spike_generator(8/16).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 16,8: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 8/17: [ 0.94509804  0.94509804  0.94509804 ...,  0.94509804  0.94509804\n",
      "  0.94509804]\n",
      "Processing spike generator for neuron 8/17: 8/17\n",
      "LIFNeuron.spike_generator(8/17).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "*** LIFNeuron.spike_generator(8/17).spike=(self.t_rest=19.75, self.t=15.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(8/17).spike=(self.t_rest=39.5, self.t=35.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(8/17).spike=(self.t_rest=59.25, self.t=55.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(8/17).spike=(self.t_rest=79.0, self.t=75.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(8/17).spike=(self.t_rest=98.75, self.t=94.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(8/17).spike=(self.t_rest=118.5, self.t=114.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(8/17).spike=(self.t_rest=138.25, self.t=134.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(8/17).spike=(self.t_rest=158.0, self.t=154.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(8/17).spike=(self.t_rest=177.75, self.t=173.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(8/17).spike=(self.t_rest=197.5, self.t=193.5, self.tau_ref=4)\n",
      "LIFNeuron.spike_generator(8/17).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 17,8: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 8/18: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 8/18: 8/18\n",
      "LIFNeuron.spike_generator(8/18).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(8/18).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 18,8: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 8/19: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 8/19: 8/19\n",
      "LIFNeuron.spike_generator(8/19).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(8/19).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 19,8: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 8/20: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 8/20: 8/20\n",
      "LIFNeuron.spike_generator(8/20).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(8/20).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 20,8: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 8/21: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 8/21: 8/21\n",
      "LIFNeuron.spike_generator(8/21).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(8/21).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 21,8: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 8/22: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 8/22: 8/22\n",
      "LIFNeuron.spike_generator(8/22).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(8/22).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 22,8: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 8/23: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 8/23: 8/23\n",
      "LIFNeuron.spike_generator(8/23).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(8/23).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 23,8: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 8/24: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 8/24: 8/24\n",
      "LIFNeuron.spike_generator(8/24).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(8/24).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 24,8: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 8/25: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 8/25: 8/25\n",
      "LIFNeuron.spike_generator(8/25).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(8/25).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 25,8: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 8/26: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 8/26: 8/26\n",
      "LIFNeuron.spike_generator(8/26).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(8/26).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 26,8: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 8/27: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 8/27: 8/27\n",
      "LIFNeuron.spike_generator(8/27).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(8/27).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 27,8: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 9/0: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 9/0: 9/0\n",
      "LIFNeuron.spike_generator(9/0).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(9/0).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 0,9: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 9/1: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 9/1: 9/1\n",
      "LIFNeuron.spike_generator(9/1).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(9/1).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Stats for neuron 1,9: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 9/2: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 9/2: 9/2\n",
      "LIFNeuron.spike_generator(9/2).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(9/2).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 2,9: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 9/3: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 9/3: 9/3\n",
      "LIFNeuron.spike_generator(9/3).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(9/3).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 3,9: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 9/4: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 9/4: 9/4\n",
      "LIFNeuron.spike_generator(9/4).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(9/4).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 4,9: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 9/5: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 9/5: 9/5\n",
      "LIFNeuron.spike_generator(9/5).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(9/5).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 5,9: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 9/6: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 9/6: 9/6\n",
      "LIFNeuron.spike_generator(9/6).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(9/6).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 6,9: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 9/7: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 9/7: 9/7\n",
      "LIFNeuron.spike_generator(9/7).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(9/7).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 7,9: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 9/8: [ 0.31372549  0.31372549  0.31372549 ...,  0.31372549  0.31372549\n",
      "  0.31372549]\n",
      "Processing spike generator for neuron 9/8: 9/8\n",
      "LIFNeuron.spike_generator(9/8).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(9/8).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 8,9: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 9/9: [ 0.61176471  0.61176471  0.61176471 ...,  0.61176471  0.61176471\n",
      "  0.61176471]\n",
      "Processing spike generator for neuron 9/9: 9/9\n",
      "LIFNeuron.spike_generator(9/9).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(9/9).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 9,9: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 9/10: [ 0.41960784  0.41960784  0.41960784 ...,  0.41960784  0.41960784\n",
      "  0.41960784]\n",
      "Processing spike generator for neuron 9/10: 9/10\n",
      "LIFNeuron.spike_generator(9/10).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(9/10).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 10,9: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 9/11: [ 0.99215686  0.99215686  0.99215686 ...,  0.99215686  0.99215686\n",
      "  0.99215686]\n",
      "Processing spike generator for neuron 9/11: 9/11\n",
      "LIFNeuron.spike_generator(9/11).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "*** LIFNeuron.spike_generator(9/11).spike=(self.t_rest=18.125, self.t=14.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(9/11).spike=(self.t_rest=36.25, self.t=32.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(9/11).spike=(self.t_rest=54.375, self.t=50.375, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(9/11).spike=(self.t_rest=72.5, self.t=68.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(9/11).spike=(self.t_rest=90.625, self.t=86.625, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(9/11).spike=(self.t_rest=108.75, self.t=104.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(9/11).spike=(self.t_rest=126.875, self.t=122.875, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(9/11).spike=(self.t_rest=145.0, self.t=141.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(9/11).spike=(self.t_rest=163.125, self.t=159.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(9/11).spike=(self.t_rest=181.25, self.t=177.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(9/11).spike=(self.t_rest=199.375, self.t=195.375, self.tau_ref=4)\n",
      "LIFNeuron.spike_generator(9/11).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 11,9: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 9/12: [ 0.99215686  0.99215686  0.99215686 ...,  0.99215686  0.99215686\n",
      "  0.99215686]\n",
      "Processing spike generator for neuron 9/12: 9/12\n",
      "LIFNeuron.spike_generator(9/12).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "*** LIFNeuron.spike_generator(9/12).spike=(self.t_rest=18.125, self.t=14.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(9/12).spike=(self.t_rest=36.25, self.t=32.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(9/12).spike=(self.t_rest=54.375, self.t=50.375, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(9/12).spike=(self.t_rest=72.5, self.t=68.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(9/12).spike=(self.t_rest=90.625, self.t=86.625, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(9/12).spike=(self.t_rest=108.75, self.t=104.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(9/12).spike=(self.t_rest=126.875, self.t=122.875, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(9/12).spike=(self.t_rest=145.0, self.t=141.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(9/12).spike=(self.t_rest=163.125, self.t=159.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(9/12).spike=(self.t_rest=181.25, self.t=177.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(9/12).spike=(self.t_rest=199.375, self.t=195.375, self.tau_ref=4)\n",
      "LIFNeuron.spike_generator(9/12).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 12,9: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 9/13: [ 0.80392157  0.80392157  0.80392157 ...,  0.80392157  0.80392157\n",
      "  0.80392157]\n",
      "Processing spike generator for neuron 9/13: 9/13\n",
      "LIFNeuron.spike_generator(9/13).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "*** LIFNeuron.spike_generator(9/13).spike=(self.t_rest=30.875, self.t=26.875, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(9/13).spike=(self.t_rest=61.75, self.t=57.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(9/13).spike=(self.t_rest=92.625, self.t=88.625, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(9/13).spike=(self.t_rest=123.5, self.t=119.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(9/13).spike=(self.t_rest=154.375, self.t=150.375, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(9/13).spike=(self.t_rest=185.25, self.t=181.25, self.tau_ref=4)\n",
      "LIFNeuron.spike_generator(9/13).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 13,9: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 9/14: [ 0.04313725  0.04313725  0.04313725 ...,  0.04313725  0.04313725\n",
      "  0.04313725]\n",
      "Processing spike generator for neuron 9/14: 9/14\n",
      "LIFNeuron.spike_generator(9/14).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(9/14).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 14,9: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 9/15: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 9/15: 9/15\n",
      "LIFNeuron.spike_generator(9/15).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(9/15).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 15,9: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 9/16: [ 0.16862745  0.16862745  0.16862745 ...,  0.16862745  0.16862745\n",
      "  0.16862745]\n",
      "Processing spike generator for neuron 9/16: 9/16\n",
      "LIFNeuron.spike_generator(9/16).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(9/16).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 16,9: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 9/17: [ 0.60392157  0.60392157  0.60392157 ...,  0.60392157  0.60392157\n",
      "  0.60392157]\n",
      "Processing spike generator for neuron 9/17: 9/17\n",
      "LIFNeuron.spike_generator(9/17).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(9/17).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 17,9: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 9/18: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 9/18: 9/18\n",
      "LIFNeuron.spike_generator(9/18).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(9/18).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 18,9: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 9/19: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 9/19: 9/19\n",
      "LIFNeuron.spike_generator(9/19).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(9/19).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 19,9: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 9/20: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 9/20: 9/20\n",
      "LIFNeuron.spike_generator(9/20).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(9/20).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 20,9: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 9/21: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 9/21: 9/21\n",
      "LIFNeuron.spike_generator(9/21).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(9/21).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 21,9: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 9/22: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 9/22: 9/22\n",
      "LIFNeuron.spike_generator(9/22).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(9/22).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 22,9: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 9/23: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 9/23: 9/23\n",
      "LIFNeuron.spike_generator(9/23).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(9/23).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 23,9: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 9/24: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 9/24: 9/24\n",
      "LIFNeuron.spike_generator(9/24).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(9/24).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 24,9: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 9/25: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 9/25: 9/25\n",
      "LIFNeuron.spike_generator(9/25).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(9/25).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 25,9: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 9/26: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 9/26: 9/26\n",
      "LIFNeuron.spike_generator(9/26).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(9/26).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 26,9: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 9/27: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 9/27: 9/27\n",
      "LIFNeuron.spike_generator(9/27).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(9/27).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 27,9: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 10/0: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 10/0: 10/0\n",
      "LIFNeuron.spike_generator(10/0).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(10/0).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 0,10: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 10/1: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 10/1: 10/1\n",
      "LIFNeuron.spike_generator(10/1).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(10/1).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 1,10: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 10/2: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 10/2: 10/2\n",
      "LIFNeuron.spike_generator(10/2).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(10/2).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 2,10: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 10/3: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 10/3: 10/3\n",
      "LIFNeuron.spike_generator(10/3).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(10/3).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 3,10: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 10/4: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 10/4: 10/4\n",
      "LIFNeuron.spike_generator(10/4).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(10/4).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 4,10: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 10/5: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 10/5: 10/5\n",
      "LIFNeuron.spike_generator(10/5).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(10/5).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 5,10: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 10/6: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 10/6: 10/6\n",
      "LIFNeuron.spike_generator(10/6).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(10/6).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 6,10: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 10/7: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 10/7: 10/7\n",
      "LIFNeuron.spike_generator(10/7).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(10/7).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 7,10: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 10/8: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 10/8: 10/8\n",
      "LIFNeuron.spike_generator(10/8).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(10/8).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 8,10: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 10/9: [ 0.05490196  0.05490196  0.05490196 ...,  0.05490196  0.05490196\n",
      "  0.05490196]\n",
      "Processing spike generator for neuron 10/9: 10/9\n",
      "LIFNeuron.spike_generator(10/9).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(10/9).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 9,10: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 10/10: [ 0.00392157  0.00392157  0.00392157 ...,  0.00392157  0.00392157\n",
      "  0.00392157]\n",
      "Processing spike generator for neuron 10/10: 10/10\n",
      "LIFNeuron.spike_generator(10/10).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(10/10).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 10,10: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 10/11: [ 0.60392157  0.60392157  0.60392157 ...,  0.60392157  0.60392157\n",
      "  0.60392157]\n",
      "Processing spike generator for neuron 10/11: 10/11\n",
      "LIFNeuron.spike_generator(10/11).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(10/11).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 11,10: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 10/12: [ 0.99215686  0.99215686  0.99215686 ...,  0.99215686  0.99215686\n",
      "  0.99215686]\n",
      "Processing spike generator for neuron 10/12: 10/12\n",
      "LIFNeuron.spike_generator(10/12).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "*** LIFNeuron.spike_generator(10/12).spike=(self.t_rest=18.125, self.t=14.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(10/12).spike=(self.t_rest=36.25, self.t=32.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(10/12).spike=(self.t_rest=54.375, self.t=50.375, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(10/12).spike=(self.t_rest=72.5, self.t=68.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(10/12).spike=(self.t_rest=90.625, self.t=86.625, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(10/12).spike=(self.t_rest=108.75, self.t=104.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(10/12).spike=(self.t_rest=126.875, self.t=122.875, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(10/12).spike=(self.t_rest=145.0, self.t=141.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(10/12).spike=(self.t_rest=163.125, self.t=159.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(10/12).spike=(self.t_rest=181.25, self.t=177.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(10/12).spike=(self.t_rest=199.375, self.t=195.375, self.tau_ref=4)\n",
      "LIFNeuron.spike_generator(10/12).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 12,10: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 10/13: [ 0.35294118  0.35294118  0.35294118 ...,  0.35294118  0.35294118\n",
      "  0.35294118]\n",
      "Processing spike generator for neuron 10/13: 10/13\n",
      "LIFNeuron.spike_generator(10/13).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(10/13).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 13,10: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 10/14: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 10/14: 10/14\n",
      "LIFNeuron.spike_generator(10/14).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(10/14).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 14,10: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 10/15: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 10/15: 10/15\n",
      "LIFNeuron.spike_generator(10/15).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(10/15).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 15,10: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 10/16: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 10/16: 10/16\n",
      "LIFNeuron.spike_generator(10/16).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(10/16).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 16,10: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 10/17: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 10/17: 10/17\n",
      "LIFNeuron.spike_generator(10/17).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(10/17).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 17,10: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 10/18: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 10/18: 10/18\n",
      "LIFNeuron.spike_generator(10/18).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(10/18).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 18,10: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 10/19: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 10/19: 10/19\n",
      "LIFNeuron.spike_generator(10/19).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(10/19).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 19,10: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 10/20: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 10/20: 10/20\n",
      "LIFNeuron.spike_generator(10/20).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(10/20).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 20,10: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 10/21: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 10/21: 10/21\n",
      "LIFNeuron.spike_generator(10/21).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(10/21).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 21,10: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 10/22: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 10/22: 10/22\n",
      "LIFNeuron.spike_generator(10/22).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(10/22).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 22,10: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 10/23: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 10/23: 10/23\n",
      "LIFNeuron.spike_generator(10/23).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(10/23).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 23,10: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 10/24: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 10/24: 10/24\n",
      "LIFNeuron.spike_generator(10/24).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(10/24).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 24,10: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 10/25: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 10/25: 10/25\n",
      "LIFNeuron.spike_generator(10/25).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(10/25).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 25,10: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 10/26: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 10/26: 10/26\n",
      "LIFNeuron.spike_generator(10/26).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(10/26).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 26,10: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 10/27: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 10/27: 10/27\n",
      "LIFNeuron.spike_generator(10/27).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(10/27).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 27,10: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 11/0: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 11/0: 11/0\n",
      "LIFNeuron.spike_generator(11/0).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(11/0).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 0,11: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 11/1: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 11/1: 11/1\n",
      "LIFNeuron.spike_generator(11/1).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(11/1).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 1,11: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 11/2: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 11/2: 11/2\n",
      "LIFNeuron.spike_generator(11/2).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(11/2).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 2,11: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 11/3: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 11/3: 11/3\n",
      "LIFNeuron.spike_generator(11/3).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(11/3).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 3,11: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 11/4: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 11/4: 11/4\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "LIFNeuron.spike_generator(11/4).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(11/4).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 4,11: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 11/5: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 11/5: 11/5\n",
      "LIFNeuron.spike_generator(11/5).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(11/5).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 5,11: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 11/6: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 11/6: 11/6\n",
      "LIFNeuron.spike_generator(11/6).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(11/6).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 6,11: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 11/7: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 11/7: 11/7\n",
      "LIFNeuron.spike_generator(11/7).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(11/7).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 7,11: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 11/8: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 11/8: 11/8\n",
      "LIFNeuron.spike_generator(11/8).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(11/8).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 8,11: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 11/9: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 11/9: 11/9\n",
      "LIFNeuron.spike_generator(11/9).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(11/9).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 9,11: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 11/10: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 11/10: 11/10\n",
      "LIFNeuron.spike_generator(11/10).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(11/10).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 10,11: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 11/11: [ 0.54509804  0.54509804  0.54509804 ...,  0.54509804  0.54509804\n",
      "  0.54509804]\n",
      "Processing spike generator for neuron 11/11: 11/11\n",
      "LIFNeuron.spike_generator(11/11).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(11/11).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 11,11: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 11/12: [ 0.99215686  0.99215686  0.99215686 ...,  0.99215686  0.99215686\n",
      "  0.99215686]\n",
      "Processing spike generator for neuron 11/12: 11/12\n",
      "LIFNeuron.spike_generator(11/12).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "*** LIFNeuron.spike_generator(11/12).spike=(self.t_rest=18.125, self.t=14.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(11/12).spike=(self.t_rest=36.25, self.t=32.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(11/12).spike=(self.t_rest=54.375, self.t=50.375, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(11/12).spike=(self.t_rest=72.5, self.t=68.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(11/12).spike=(self.t_rest=90.625, self.t=86.625, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(11/12).spike=(self.t_rest=108.75, self.t=104.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(11/12).spike=(self.t_rest=126.875, self.t=122.875, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(11/12).spike=(self.t_rest=145.0, self.t=141.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(11/12).spike=(self.t_rest=163.125, self.t=159.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(11/12).spike=(self.t_rest=181.25, self.t=177.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(11/12).spike=(self.t_rest=199.375, self.t=195.375, self.tau_ref=4)\n",
      "LIFNeuron.spike_generator(11/12).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 12,11: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 11/13: [ 0.74509804  0.74509804  0.74509804 ...,  0.74509804  0.74509804\n",
      "  0.74509804]\n",
      "Processing spike generator for neuron 11/13: 11/13\n",
      "LIFNeuron.spike_generator(11/13).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(11/13).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 13,11: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 11/14: [ 0.00784314  0.00784314  0.00784314 ...,  0.00784314  0.00784314\n",
      "  0.00784314]\n",
      "Processing spike generator for neuron 11/14: 11/14\n",
      "LIFNeuron.spike_generator(11/14).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(11/14).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 14,11: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 11/15: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 11/15: 11/15\n",
      "LIFNeuron.spike_generator(11/15).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(11/15).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 15,11: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 11/16: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 11/16: 11/16\n",
      "LIFNeuron.spike_generator(11/16).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(11/16).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 16,11: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 11/17: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 11/17: 11/17\n",
      "LIFNeuron.spike_generator(11/17).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(11/17).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 17,11: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 11/18: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 11/18: 11/18\n",
      "LIFNeuron.spike_generator(11/18).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(11/18).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 18,11: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 11/19: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 11/19: 11/19\n",
      "LIFNeuron.spike_generator(11/19).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(11/19).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 19,11: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 11/20: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 11/20: 11/20\n",
      "LIFNeuron.spike_generator(11/20).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(11/20).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 20,11: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 11/21: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 11/21: 11/21\n",
      "LIFNeuron.spike_generator(11/21).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(11/21).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 21,11: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 11/22: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 11/22: 11/22\n",
      "LIFNeuron.spike_generator(11/22).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(11/22).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 22,11: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 11/23: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 11/23: 11/23\n",
      "LIFNeuron.spike_generator(11/23).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(11/23).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 23,11: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 11/24: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 11/24: 11/24\n",
      "LIFNeuron.spike_generator(11/24).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(11/24).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 24,11: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 11/25: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 11/25: 11/25\n",
      "LIFNeuron.spike_generator(11/25).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(11/25).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 25,11: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 11/26: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 11/26: 11/26\n",
      "LIFNeuron.spike_generator(11/26).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(11/26).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 26,11: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 11/27: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 11/27: 11/27\n",
      "LIFNeuron.spike_generator(11/27).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(11/27).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 27,11: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 12/0: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 12/0: 12/0\n",
      "LIFNeuron.spike_generator(12/0).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(12/0).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 0,12: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 12/1: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 12/1: 12/1\n",
      "LIFNeuron.spike_generator(12/1).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(12/1).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 1,12: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 12/2: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 12/2: 12/2\n",
      "LIFNeuron.spike_generator(12/2).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(12/2).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 2,12: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 12/3: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 12/3: 12/3\n",
      "LIFNeuron.spike_generator(12/3).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(12/3).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 3,12: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 12/4: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 12/4: 12/4\n",
      "LIFNeuron.spike_generator(12/4).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(12/4).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 4,12: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 12/5: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 12/5: 12/5\n",
      "LIFNeuron.spike_generator(12/5).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(12/5).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 5,12: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 12/6: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 12/6: 12/6\n",
      "LIFNeuron.spike_generator(12/6).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(12/6).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 6,12: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 12/7: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 12/7: 12/7\n",
      "LIFNeuron.spike_generator(12/7).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(12/7).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 7,12: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 12/8: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 12/8: 12/8\n",
      "LIFNeuron.spike_generator(12/8).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(12/8).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 8,12: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 12/9: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 12/9: 12/9\n",
      "LIFNeuron.spike_generator(12/9).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(12/9).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 9,12: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 12/10: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 12/10: 12/10\n",
      "LIFNeuron.spike_generator(12/10).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(12/10).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 10,12: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 12/11: [ 0.04313725  0.04313725  0.04313725 ...,  0.04313725  0.04313725\n",
      "  0.04313725]\n",
      "Processing spike generator for neuron 12/11: 12/11\n",
      "LIFNeuron.spike_generator(12/11).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(12/11).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 11,12: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 12/12: [ 0.74509804  0.74509804  0.74509804 ...,  0.74509804  0.74509804\n",
      "  0.74509804]\n",
      "Processing spike generator for neuron 12/12: 12/12\n",
      "LIFNeuron.spike_generator(12/12).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(12/12).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 12,12: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 12/13: [ 0.99215686  0.99215686  0.99215686 ...,  0.99215686  0.99215686\n",
      "  0.99215686]\n",
      "Processing spike generator for neuron 12/13: 12/13\n",
      "LIFNeuron.spike_generator(12/13).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "*** LIFNeuron.spike_generator(12/13).spike=(self.t_rest=18.125, self.t=14.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(12/13).spike=(self.t_rest=36.25, self.t=32.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(12/13).spike=(self.t_rest=54.375, self.t=50.375, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(12/13).spike=(self.t_rest=72.5, self.t=68.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(12/13).spike=(self.t_rest=90.625, self.t=86.625, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(12/13).spike=(self.t_rest=108.75, self.t=104.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(12/13).spike=(self.t_rest=126.875, self.t=122.875, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(12/13).spike=(self.t_rest=145.0, self.t=141.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(12/13).spike=(self.t_rest=163.125, self.t=159.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(12/13).spike=(self.t_rest=181.25, self.t=177.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(12/13).spike=(self.t_rest=199.375, self.t=195.375, self.tau_ref=4)\n",
      "LIFNeuron.spike_generator(12/13).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 13,12: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 12/14: [ 0.2745098  0.2745098  0.2745098 ...,  0.2745098  0.2745098  0.2745098]\n",
      "Processing spike generator for neuron 12/14: 12/14\n",
      "LIFNeuron.spike_generator(12/14).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(12/14).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 14,12: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 12/15: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 12/15: 12/15\n",
      "LIFNeuron.spike_generator(12/15).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(12/15).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 15,12: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 12/16: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 12/16: 12/16\n",
      "LIFNeuron.spike_generator(12/16).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(12/16).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 16,12: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 12/17: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 12/17: 12/17\n",
      "LIFNeuron.spike_generator(12/17).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(12/17).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 17,12: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 12/18: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 12/18: 12/18\n",
      "LIFNeuron.spike_generator(12/18).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(12/18).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 18,12: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 12/19: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 12/19: 12/19\n",
      "LIFNeuron.spike_generator(12/19).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(12/19).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 19,12: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 12/20: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 12/20: 12/20\n",
      "LIFNeuron.spike_generator(12/20).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(12/20).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 20,12: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 12/21: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 12/21: 12/21\n",
      "LIFNeuron.spike_generator(12/21).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(12/21).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 21,12: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 12/22: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 12/22: 12/22\n",
      "LIFNeuron.spike_generator(12/22).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(12/22).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 22,12: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 12/23: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 12/23: 12/23\n",
      "LIFNeuron.spike_generator(12/23).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(12/23).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 23,12: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 12/24: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 12/24: 12/24\n",
      "LIFNeuron.spike_generator(12/24).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(12/24).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 24,12: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 12/25: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 12/25: 12/25\n",
      "LIFNeuron.spike_generator(12/25).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(12/25).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 25,12: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 12/26: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 12/26: 12/26\n",
      "LIFNeuron.spike_generator(12/26).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(12/26).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 26,12: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 12/27: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 12/27: 12/27\n",
      "LIFNeuron.spike_generator(12/27).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(12/27).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 27,12: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 13/0: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 13/0: 13/0\n",
      "LIFNeuron.spike_generator(13/0).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(13/0).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Stats for neuron 0,13: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 13/1: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 13/1: 13/1\n",
      "LIFNeuron.spike_generator(13/1).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(13/1).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 1,13: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 13/2: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 13/2: 13/2\n",
      "LIFNeuron.spike_generator(13/2).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(13/2).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 2,13: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 13/3: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 13/3: 13/3\n",
      "LIFNeuron.spike_generator(13/3).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(13/3).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 3,13: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 13/4: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 13/4: 13/4\n",
      "LIFNeuron.spike_generator(13/4).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(13/4).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 4,13: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 13/5: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 13/5: 13/5\n",
      "LIFNeuron.spike_generator(13/5).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(13/5).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 5,13: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 13/6: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 13/6: 13/6\n",
      "LIFNeuron.spike_generator(13/6).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(13/6).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 6,13: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 13/7: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 13/7: 13/7\n",
      "LIFNeuron.spike_generator(13/7).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(13/7).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 7,13: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 13/8: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 13/8: 13/8\n",
      "LIFNeuron.spike_generator(13/8).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(13/8).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 8,13: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 13/9: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 13/9: 13/9\n",
      "LIFNeuron.spike_generator(13/9).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(13/9).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 9,13: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 13/10: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 13/10: 13/10\n",
      "LIFNeuron.spike_generator(13/10).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(13/10).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 10,13: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 13/11: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 13/11: 13/11\n",
      "LIFNeuron.spike_generator(13/11).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(13/11).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 11,13: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 13/12: [ 0.1372549  0.1372549  0.1372549 ...,  0.1372549  0.1372549  0.1372549]\n",
      "Processing spike generator for neuron 13/12: 13/12\n",
      "LIFNeuron.spike_generator(13/12).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(13/12).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 12,13: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 13/13: [ 0.94509804  0.94509804  0.94509804 ...,  0.94509804  0.94509804\n",
      "  0.94509804]\n",
      "Processing spike generator for neuron 13/13: 13/13\n",
      "LIFNeuron.spike_generator(13/13).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "*** LIFNeuron.spike_generator(13/13).spike=(self.t_rest=19.75, self.t=15.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(13/13).spike=(self.t_rest=39.5, self.t=35.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(13/13).spike=(self.t_rest=59.25, self.t=55.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(13/13).spike=(self.t_rest=79.0, self.t=75.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(13/13).spike=(self.t_rest=98.75, self.t=94.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(13/13).spike=(self.t_rest=118.5, self.t=114.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(13/13).spike=(self.t_rest=138.25, self.t=134.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(13/13).spike=(self.t_rest=158.0, self.t=154.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(13/13).spike=(self.t_rest=177.75, self.t=173.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(13/13).spike=(self.t_rest=197.5, self.t=193.5, self.tau_ref=4)\n",
      "LIFNeuron.spike_generator(13/13).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 13,13: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 13/14: [ 0.88235294  0.88235294  0.88235294 ...,  0.88235294  0.88235294\n",
      "  0.88235294]\n",
      "Processing spike generator for neuron 13/14: 13/14\n",
      "LIFNeuron.spike_generator(13/14).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "*** LIFNeuron.spike_generator(13/14).spike=(self.t_rest=22.875, self.t=18.875, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(13/14).spike=(self.t_rest=45.75, self.t=41.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(13/14).spike=(self.t_rest=68.625, self.t=64.625, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(13/14).spike=(self.t_rest=91.5, self.t=87.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(13/14).spike=(self.t_rest=114.375, self.t=110.375, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(13/14).spike=(self.t_rest=137.25, self.t=133.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(13/14).spike=(self.t_rest=160.125, self.t=156.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(13/14).spike=(self.t_rest=183.0, self.t=179.0, self.tau_ref=4)\n",
      "LIFNeuron.spike_generator(13/14).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 14,13: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 13/15: [ 0.62745098  0.62745098  0.62745098 ...,  0.62745098  0.62745098\n",
      "  0.62745098]\n",
      "Processing spike generator for neuron 13/15: 13/15\n",
      "LIFNeuron.spike_generator(13/15).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(13/15).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 15,13: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 13/16: [ 0.42352941  0.42352941  0.42352941 ...,  0.42352941  0.42352941\n",
      "  0.42352941]\n",
      "Processing spike generator for neuron 13/16: 13/16\n",
      "LIFNeuron.spike_generator(13/16).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(13/16).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 16,13: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 13/17: [ 0.00392157  0.00392157  0.00392157 ...,  0.00392157  0.00392157\n",
      "  0.00392157]\n",
      "Processing spike generator for neuron 13/17: 13/17\n",
      "LIFNeuron.spike_generator(13/17).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(13/17).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 17,13: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 13/18: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 13/18: 13/18\n",
      "LIFNeuron.spike_generator(13/18).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(13/18).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 18,13: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 13/19: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 13/19: 13/19\n",
      "LIFNeuron.spike_generator(13/19).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(13/19).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 19,13: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 13/20: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 13/20: 13/20\n",
      "LIFNeuron.spike_generator(13/20).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(13/20).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 20,13: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 13/21: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 13/21: 13/21\n",
      "LIFNeuron.spike_generator(13/21).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(13/21).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 21,13: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 13/22: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 13/22: 13/22\n",
      "LIFNeuron.spike_generator(13/22).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(13/22).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 22,13: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 13/23: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 13/23: 13/23\n",
      "LIFNeuron.spike_generator(13/23).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(13/23).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 23,13: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 13/24: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 13/24: 13/24\n",
      "LIFNeuron.spike_generator(13/24).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(13/24).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 24,13: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 13/25: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 13/25: 13/25\n",
      "LIFNeuron.spike_generator(13/25).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(13/25).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 25,13: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 13/26: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 13/26: 13/26\n",
      "LIFNeuron.spike_generator(13/26).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(13/26).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 26,13: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 13/27: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 13/27: 13/27\n",
      "LIFNeuron.spike_generator(13/27).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(13/27).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 27,13: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 14/0: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 14/0: 14/0\n",
      "LIFNeuron.spike_generator(14/0).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(14/0).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 0,14: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 14/1: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 14/1: 14/1\n",
      "LIFNeuron.spike_generator(14/1).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(14/1).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 1,14: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 14/2: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 14/2: 14/2\n",
      "LIFNeuron.spike_generator(14/2).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(14/2).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 2,14: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 14/3: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 14/3: 14/3\n",
      "LIFNeuron.spike_generator(14/3).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(14/3).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 3,14: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 14/4: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 14/4: 14/4\n",
      "LIFNeuron.spike_generator(14/4).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(14/4).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 4,14: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 14/5: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 14/5: 14/5\n",
      "LIFNeuron.spike_generator(14/5).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(14/5).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 5,14: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 14/6: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 14/6: 14/6\n",
      "LIFNeuron.spike_generator(14/6).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(14/6).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 6,14: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 14/7: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 14/7: 14/7\n",
      "LIFNeuron.spike_generator(14/7).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(14/7).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 7,14: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 14/8: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 14/8: 14/8\n",
      "LIFNeuron.spike_generator(14/8).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(14/8).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 8,14: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 14/9: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 14/9: 14/9\n",
      "LIFNeuron.spike_generator(14/9).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(14/9).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 9,14: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 14/10: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 14/10: 14/10\n",
      "LIFNeuron.spike_generator(14/10).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(14/10).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 10,14: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 14/11: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 14/11: 14/11\n",
      "LIFNeuron.spike_generator(14/11).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(14/11).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 11,14: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 14/12: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 14/12: 14/12\n",
      "LIFNeuron.spike_generator(14/12).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(14/12).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 12,14: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 14/13: [ 0.31764706  0.31764706  0.31764706 ...,  0.31764706  0.31764706\n",
      "  0.31764706]\n",
      "Processing spike generator for neuron 14/13: 14/13\n",
      "LIFNeuron.spike_generator(14/13).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(14/13).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 13,14: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 14/14: [ 0.94117647  0.94117647  0.94117647 ...,  0.94117647  0.94117647\n",
      "  0.94117647]\n",
      "Processing spike generator for neuron 14/14: 14/14\n",
      "LIFNeuron.spike_generator(14/14).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "*** LIFNeuron.spike_generator(14/14).spike=(self.t_rest=19.875, self.t=15.875, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(14/14).spike=(self.t_rest=39.75, self.t=35.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(14/14).spike=(self.t_rest=59.625, self.t=55.625, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(14/14).spike=(self.t_rest=79.5, self.t=75.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(14/14).spike=(self.t_rest=99.375, self.t=95.375, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(14/14).spike=(self.t_rest=119.25, self.t=115.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(14/14).spike=(self.t_rest=139.125, self.t=135.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(14/14).spike=(self.t_rest=159.0, self.t=155.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(14/14).spike=(self.t_rest=178.875, self.t=174.875, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(14/14).spike=(self.t_rest=198.75, self.t=194.75, self.tau_ref=4)\n",
      "LIFNeuron.spike_generator(14/14).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 14,14: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 14/15: [ 0.99215686  0.99215686  0.99215686 ...,  0.99215686  0.99215686\n",
      "  0.99215686]\n",
      "Processing spike generator for neuron 14/15: 14/15\n",
      "LIFNeuron.spike_generator(14/15).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "*** LIFNeuron.spike_generator(14/15).spike=(self.t_rest=18.125, self.t=14.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(14/15).spike=(self.t_rest=36.25, self.t=32.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(14/15).spike=(self.t_rest=54.375, self.t=50.375, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(14/15).spike=(self.t_rest=72.5, self.t=68.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(14/15).spike=(self.t_rest=90.625, self.t=86.625, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(14/15).spike=(self.t_rest=108.75, self.t=104.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(14/15).spike=(self.t_rest=126.875, self.t=122.875, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(14/15).spike=(self.t_rest=145.0, self.t=141.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(14/15).spike=(self.t_rest=163.125, self.t=159.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(14/15).spike=(self.t_rest=181.25, self.t=177.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(14/15).spike=(self.t_rest=199.375, self.t=195.375, self.tau_ref=4)\n",
      "LIFNeuron.spike_generator(14/15).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 15,14: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 14/16: [ 0.99215686  0.99215686  0.99215686 ...,  0.99215686  0.99215686\n",
      "  0.99215686]\n",
      "Processing spike generator for neuron 14/16: 14/16\n",
      "LIFNeuron.spike_generator(14/16).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "*** LIFNeuron.spike_generator(14/16).spike=(self.t_rest=18.125, self.t=14.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(14/16).spike=(self.t_rest=36.25, self.t=32.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(14/16).spike=(self.t_rest=54.375, self.t=50.375, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(14/16).spike=(self.t_rest=72.5, self.t=68.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(14/16).spike=(self.t_rest=90.625, self.t=86.625, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(14/16).spike=(self.t_rest=108.75, self.t=104.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(14/16).spike=(self.t_rest=126.875, self.t=122.875, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(14/16).spike=(self.t_rest=145.0, self.t=141.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(14/16).spike=(self.t_rest=163.125, self.t=159.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(14/16).spike=(self.t_rest=181.25, self.t=177.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(14/16).spike=(self.t_rest=199.375, self.t=195.375, self.tau_ref=4)\n",
      "LIFNeuron.spike_generator(14/16).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 16,14: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 14/17: [ 0.46666667  0.46666667  0.46666667 ...,  0.46666667  0.46666667\n",
      "  0.46666667]\n",
      "Processing spike generator for neuron 14/17: 14/17\n",
      "LIFNeuron.spike_generator(14/17).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(14/17).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 17,14: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 14/18: [ 0.09803922  0.09803922  0.09803922 ...,  0.09803922  0.09803922\n",
      "  0.09803922]\n",
      "Processing spike generator for neuron 14/18: 14/18\n",
      "LIFNeuron.spike_generator(14/18).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(14/18).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 18,14: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 14/19: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 14/19: 14/19\n",
      "LIFNeuron.spike_generator(14/19).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(14/19).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 19,14: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 14/20: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 14/20: 14/20\n",
      "LIFNeuron.spike_generator(14/20).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(14/20).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 20,14: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 14/21: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 14/21: 14/21\n",
      "LIFNeuron.spike_generator(14/21).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(14/21).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 21,14: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 14/22: [ 0.  0.  0. ...,  0.  0.  0.]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Processing spike generator for neuron 14/22: 14/22\n",
      "LIFNeuron.spike_generator(14/22).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(14/22).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 22,14: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 14/23: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 14/23: 14/23\n",
      "LIFNeuron.spike_generator(14/23).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(14/23).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 23,14: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 14/24: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 14/24: 14/24\n",
      "LIFNeuron.spike_generator(14/24).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(14/24).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 24,14: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 14/25: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 14/25: 14/25\n",
      "LIFNeuron.spike_generator(14/25).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(14/25).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 25,14: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 14/26: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 14/26: 14/26\n",
      "LIFNeuron.spike_generator(14/26).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(14/26).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 26,14: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 14/27: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 14/27: 14/27\n",
      "LIFNeuron.spike_generator(14/27).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(14/27).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 27,14: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 15/0: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 15/0: 15/0\n",
      "LIFNeuron.spike_generator(15/0).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(15/0).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 0,15: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 15/1: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 15/1: 15/1\n",
      "LIFNeuron.spike_generator(15/1).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(15/1).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 1,15: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 15/2: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 15/2: 15/2\n",
      "LIFNeuron.spike_generator(15/2).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(15/2).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 2,15: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 15/3: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 15/3: 15/3\n",
      "LIFNeuron.spike_generator(15/3).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(15/3).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 3,15: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 15/4: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 15/4: 15/4\n",
      "LIFNeuron.spike_generator(15/4).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(15/4).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 4,15: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 15/5: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 15/5: 15/5\n",
      "LIFNeuron.spike_generator(15/5).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(15/5).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 5,15: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 15/6: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 15/6: 15/6\n",
      "LIFNeuron.spike_generator(15/6).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(15/6).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 6,15: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 15/7: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 15/7: 15/7\n",
      "LIFNeuron.spike_generator(15/7).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(15/7).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 7,15: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 15/8: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 15/8: 15/8\n",
      "LIFNeuron.spike_generator(15/8).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(15/8).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 8,15: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 15/9: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 15/9: 15/9\n",
      "LIFNeuron.spike_generator(15/9).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(15/9).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 9,15: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 15/10: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 15/10: 15/10\n",
      "LIFNeuron.spike_generator(15/10).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(15/10).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 10,15: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 15/11: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 15/11: 15/11\n",
      "LIFNeuron.spike_generator(15/11).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(15/11).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 11,15: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 15/12: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 15/12: 15/12\n",
      "LIFNeuron.spike_generator(15/12).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(15/12).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 12,15: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 15/13: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 15/13: 15/13\n",
      "LIFNeuron.spike_generator(15/13).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(15/13).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 13,15: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 15/14: [ 0.17647059  0.17647059  0.17647059 ...,  0.17647059  0.17647059\n",
      "  0.17647059]\n",
      "Processing spike generator for neuron 15/14: 15/14\n",
      "LIFNeuron.spike_generator(15/14).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(15/14).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 14,15: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 15/15: [ 0.72941176  0.72941176  0.72941176 ...,  0.72941176  0.72941176\n",
      "  0.72941176]\n",
      "Processing spike generator for neuron 15/15: 15/15\n",
      "LIFNeuron.spike_generator(15/15).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(15/15).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 15,15: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 15/16: [ 0.99215686  0.99215686  0.99215686 ...,  0.99215686  0.99215686\n",
      "  0.99215686]\n",
      "Processing spike generator for neuron 15/16: 15/16\n",
      "LIFNeuron.spike_generator(15/16).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "*** LIFNeuron.spike_generator(15/16).spike=(self.t_rest=18.125, self.t=14.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(15/16).spike=(self.t_rest=36.25, self.t=32.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(15/16).spike=(self.t_rest=54.375, self.t=50.375, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(15/16).spike=(self.t_rest=72.5, self.t=68.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(15/16).spike=(self.t_rest=90.625, self.t=86.625, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(15/16).spike=(self.t_rest=108.75, self.t=104.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(15/16).spike=(self.t_rest=126.875, self.t=122.875, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(15/16).spike=(self.t_rest=145.0, self.t=141.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(15/16).spike=(self.t_rest=163.125, self.t=159.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(15/16).spike=(self.t_rest=181.25, self.t=177.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(15/16).spike=(self.t_rest=199.375, self.t=195.375, self.tau_ref=4)\n",
      "LIFNeuron.spike_generator(15/16).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 16,15: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 15/17: [ 0.99215686  0.99215686  0.99215686 ...,  0.99215686  0.99215686\n",
      "  0.99215686]\n",
      "Processing spike generator for neuron 15/17: 15/17\n",
      "LIFNeuron.spike_generator(15/17).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "*** LIFNeuron.spike_generator(15/17).spike=(self.t_rest=18.125, self.t=14.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(15/17).spike=(self.t_rest=36.25, self.t=32.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(15/17).spike=(self.t_rest=54.375, self.t=50.375, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(15/17).spike=(self.t_rest=72.5, self.t=68.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(15/17).spike=(self.t_rest=90.625, self.t=86.625, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(15/17).spike=(self.t_rest=108.75, self.t=104.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(15/17).spike=(self.t_rest=126.875, self.t=122.875, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(15/17).spike=(self.t_rest=145.0, self.t=141.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(15/17).spike=(self.t_rest=163.125, self.t=159.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(15/17).spike=(self.t_rest=181.25, self.t=177.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(15/17).spike=(self.t_rest=199.375, self.t=195.375, self.tau_ref=4)\n",
      "LIFNeuron.spike_generator(15/17).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 17,15: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 15/18: [ 0.58823529  0.58823529  0.58823529 ...,  0.58823529  0.58823529\n",
      "  0.58823529]\n",
      "Processing spike generator for neuron 15/18: 15/18\n",
      "LIFNeuron.spike_generator(15/18).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(15/18).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 18,15: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 15/19: [ 0.10588235  0.10588235  0.10588235 ...,  0.10588235  0.10588235\n",
      "  0.10588235]\n",
      "Processing spike generator for neuron 15/19: 15/19\n",
      "LIFNeuron.spike_generator(15/19).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(15/19).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 19,15: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 15/20: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 15/20: 15/20\n",
      "LIFNeuron.spike_generator(15/20).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(15/20).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 20,15: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 15/21: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 15/21: 15/21\n",
      "LIFNeuron.spike_generator(15/21).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(15/21).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 21,15: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 15/22: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 15/22: 15/22\n",
      "LIFNeuron.spike_generator(15/22).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(15/22).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 22,15: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 15/23: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 15/23: 15/23\n",
      "LIFNeuron.spike_generator(15/23).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(15/23).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 23,15: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 15/24: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 15/24: 15/24\n",
      "LIFNeuron.spike_generator(15/24).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(15/24).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 24,15: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 15/25: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 15/25: 15/25\n",
      "LIFNeuron.spike_generator(15/25).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(15/25).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 25,15: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 15/26: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 15/26: 15/26\n",
      "LIFNeuron.spike_generator(15/26).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(15/26).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 26,15: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 15/27: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 15/27: 15/27\n",
      "LIFNeuron.spike_generator(15/27).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(15/27).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 27,15: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 16/0: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 16/0: 16/0\n",
      "LIFNeuron.spike_generator(16/0).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(16/0).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 0,16: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 16/1: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 16/1: 16/1\n",
      "LIFNeuron.spike_generator(16/1).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(16/1).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Stats for neuron 1,16: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 16/2: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 16/2: 16/2\n",
      "LIFNeuron.spike_generator(16/2).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(16/2).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 2,16: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 16/3: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 16/3: 16/3\n",
      "LIFNeuron.spike_generator(16/3).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(16/3).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 3,16: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 16/4: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 16/4: 16/4\n",
      "LIFNeuron.spike_generator(16/4).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(16/4).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 4,16: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 16/5: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 16/5: 16/5\n",
      "LIFNeuron.spike_generator(16/5).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(16/5).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 5,16: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 16/6: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 16/6: 16/6\n",
      "LIFNeuron.spike_generator(16/6).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(16/6).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 6,16: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 16/7: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 16/7: 16/7\n",
      "LIFNeuron.spike_generator(16/7).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(16/7).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 7,16: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 16/8: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 16/8: 16/8\n",
      "LIFNeuron.spike_generator(16/8).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(16/8).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 8,16: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 16/9: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 16/9: 16/9\n",
      "LIFNeuron.spike_generator(16/9).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(16/9).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 9,16: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 16/10: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 16/10: 16/10\n",
      "LIFNeuron.spike_generator(16/10).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(16/10).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 10,16: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 16/11: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 16/11: 16/11\n",
      "LIFNeuron.spike_generator(16/11).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(16/11).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 11,16: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 16/12: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 16/12: 16/12\n",
      "LIFNeuron.spike_generator(16/12).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(16/12).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 12,16: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 16/13: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 16/13: 16/13\n",
      "LIFNeuron.spike_generator(16/13).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(16/13).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 13,16: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 16/14: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 16/14: 16/14\n",
      "LIFNeuron.spike_generator(16/14).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(16/14).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 14,16: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 16/15: [ 0.0627451  0.0627451  0.0627451 ...,  0.0627451  0.0627451  0.0627451]\n",
      "Processing spike generator for neuron 16/15: 16/15\n",
      "LIFNeuron.spike_generator(16/15).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(16/15).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 15,16: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 16/16: [ 0.36470588  0.36470588  0.36470588 ...,  0.36470588  0.36470588\n",
      "  0.36470588]\n",
      "Processing spike generator for neuron 16/16: 16/16\n",
      "LIFNeuron.spike_generator(16/16).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(16/16).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 16,16: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 16/17: [ 0.98823529  0.98823529  0.98823529 ...,  0.98823529  0.98823529\n",
      "  0.98823529]\n",
      "Processing spike generator for neuron 16/17: 16/17\n",
      "LIFNeuron.spike_generator(16/17).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "*** LIFNeuron.spike_generator(16/17).spike=(self.t_rest=18.25, self.t=14.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(16/17).spike=(self.t_rest=36.5, self.t=32.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(16/17).spike=(self.t_rest=54.75, self.t=50.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(16/17).spike=(self.t_rest=73.0, self.t=69.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(16/17).spike=(self.t_rest=91.25, self.t=87.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(16/17).spike=(self.t_rest=109.5, self.t=105.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(16/17).spike=(self.t_rest=127.75, self.t=123.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(16/17).spike=(self.t_rest=146.0, self.t=142.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(16/17).spike=(self.t_rest=164.25, self.t=160.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(16/17).spike=(self.t_rest=182.5, self.t=178.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(16/17).spike=(self.t_rest=200.75, self.t=196.75, self.tau_ref=4)\n",
      "LIFNeuron.spike_generator(16/17).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 17,16: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 16/18: [ 0.99215686  0.99215686  0.99215686 ...,  0.99215686  0.99215686\n",
      "  0.99215686]\n",
      "Processing spike generator for neuron 16/18: 16/18\n",
      "LIFNeuron.spike_generator(16/18).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "*** LIFNeuron.spike_generator(16/18).spike=(self.t_rest=18.125, self.t=14.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(16/18).spike=(self.t_rest=36.25, self.t=32.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(16/18).spike=(self.t_rest=54.375, self.t=50.375, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(16/18).spike=(self.t_rest=72.5, self.t=68.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(16/18).spike=(self.t_rest=90.625, self.t=86.625, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(16/18).spike=(self.t_rest=108.75, self.t=104.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(16/18).spike=(self.t_rest=126.875, self.t=122.875, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(16/18).spike=(self.t_rest=145.0, self.t=141.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(16/18).spike=(self.t_rest=163.125, self.t=159.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(16/18).spike=(self.t_rest=181.25, self.t=177.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(16/18).spike=(self.t_rest=199.375, self.t=195.375, self.tau_ref=4)\n",
      "LIFNeuron.spike_generator(16/18).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 18,16: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 16/19: [ 0.73333333  0.73333333  0.73333333 ...,  0.73333333  0.73333333\n",
      "  0.73333333]\n",
      "Processing spike generator for neuron 16/19: 16/19\n",
      "LIFNeuron.spike_generator(16/19).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(16/19).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 19,16: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 16/20: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 16/20: 16/20\n",
      "LIFNeuron.spike_generator(16/20).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(16/20).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 20,16: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 16/21: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 16/21: 16/21\n",
      "LIFNeuron.spike_generator(16/21).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(16/21).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 21,16: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 16/22: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 16/22: 16/22\n",
      "LIFNeuron.spike_generator(16/22).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(16/22).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 22,16: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 16/23: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 16/23: 16/23\n",
      "LIFNeuron.spike_generator(16/23).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(16/23).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 23,16: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 16/24: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 16/24: 16/24\n",
      "LIFNeuron.spike_generator(16/24).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(16/24).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 24,16: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 16/25: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 16/25: 16/25\n",
      "LIFNeuron.spike_generator(16/25).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(16/25).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 25,16: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 16/26: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 16/26: 16/26\n",
      "LIFNeuron.spike_generator(16/26).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(16/26).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 26,16: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 16/27: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 16/27: 16/27\n",
      "LIFNeuron.spike_generator(16/27).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(16/27).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 27,16: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 17/0: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 17/0: 17/0\n",
      "LIFNeuron.spike_generator(17/0).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(17/0).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 0,17: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 17/1: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 17/1: 17/1\n",
      "LIFNeuron.spike_generator(17/1).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(17/1).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 1,17: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 17/2: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 17/2: 17/2\n",
      "LIFNeuron.spike_generator(17/2).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(17/2).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 2,17: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 17/3: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 17/3: 17/3\n",
      "LIFNeuron.spike_generator(17/3).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(17/3).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 3,17: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 17/4: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 17/4: 17/4\n",
      "LIFNeuron.spike_generator(17/4).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(17/4).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 4,17: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 17/5: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 17/5: 17/5\n",
      "LIFNeuron.spike_generator(17/5).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(17/5).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 5,17: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 17/6: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 17/6: 17/6\n",
      "LIFNeuron.spike_generator(17/6).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(17/6).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 6,17: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 17/7: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 17/7: 17/7\n",
      "LIFNeuron.spike_generator(17/7).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(17/7).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 7,17: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 17/8: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 17/8: 17/8\n",
      "LIFNeuron.spike_generator(17/8).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(17/8).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 8,17: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 17/9: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 17/9: 17/9\n",
      "LIFNeuron.spike_generator(17/9).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(17/9).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 9,17: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 17/10: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 17/10: 17/10\n",
      "LIFNeuron.spike_generator(17/10).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(17/10).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 10,17: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 17/11: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 17/11: 17/11\n",
      "LIFNeuron.spike_generator(17/11).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(17/11).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 11,17: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 17/12: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 17/12: 17/12\n",
      "LIFNeuron.spike_generator(17/12).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(17/12).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 12,17: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 17/13: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 17/13: 17/13\n",
      "LIFNeuron.spike_generator(17/13).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(17/13).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 13,17: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 17/14: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 17/14: 17/14\n",
      "LIFNeuron.spike_generator(17/14).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(17/14).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 14,17: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 17/15: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 17/15: 17/15\n",
      "LIFNeuron.spike_generator(17/15).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(17/15).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 15,17: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 17/16: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 17/16: 17/16\n",
      "LIFNeuron.spike_generator(17/16).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(17/16).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 16,17: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 17/17: [ 0.97647059  0.97647059  0.97647059 ...,  0.97647059  0.97647059\n",
      "  0.97647059]\n",
      "Processing spike generator for neuron 17/17: 17/17\n",
      "LIFNeuron.spike_generator(17/17).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "*** LIFNeuron.spike_generator(17/17).spike=(self.t_rest=18.625, self.t=14.625, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(17/17).spike=(self.t_rest=37.25, self.t=33.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(17/17).spike=(self.t_rest=55.875, self.t=51.875, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(17/17).spike=(self.t_rest=74.5, self.t=70.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(17/17).spike=(self.t_rest=93.125, self.t=89.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(17/17).spike=(self.t_rest=111.75, self.t=107.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(17/17).spike=(self.t_rest=130.375, self.t=126.375, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(17/17).spike=(self.t_rest=149.0, self.t=145.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(17/17).spike=(self.t_rest=167.625, self.t=163.625, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(17/17).spike=(self.t_rest=186.25, self.t=182.25, self.tau_ref=4)\n",
      "LIFNeuron.spike_generator(17/17).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 17,17: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 17/18: [ 0.99215686  0.99215686  0.99215686 ...,  0.99215686  0.99215686\n",
      "  0.99215686]\n",
      "Processing spike generator for neuron 17/18: 17/18\n",
      "LIFNeuron.spike_generator(17/18).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "*** LIFNeuron.spike_generator(17/18).spike=(self.t_rest=18.125, self.t=14.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(17/18).spike=(self.t_rest=36.25, self.t=32.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(17/18).spike=(self.t_rest=54.375, self.t=50.375, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(17/18).spike=(self.t_rest=72.5, self.t=68.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(17/18).spike=(self.t_rest=90.625, self.t=86.625, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(17/18).spike=(self.t_rest=108.75, self.t=104.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(17/18).spike=(self.t_rest=126.875, self.t=122.875, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(17/18).spike=(self.t_rest=145.0, self.t=141.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(17/18).spike=(self.t_rest=163.125, self.t=159.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(17/18).spike=(self.t_rest=181.25, self.t=177.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(17/18).spike=(self.t_rest=199.375, self.t=195.375, self.tau_ref=4)\n",
      "LIFNeuron.spike_generator(17/18).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 18,17: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 17/19: [ 0.97647059  0.97647059  0.97647059 ...,  0.97647059  0.97647059\n",
      "  0.97647059]\n",
      "Processing spike generator for neuron 17/19: 17/19\n",
      "LIFNeuron.spike_generator(17/19).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "*** LIFNeuron.spike_generator(17/19).spike=(self.t_rest=18.625, self.t=14.625, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(17/19).spike=(self.t_rest=37.25, self.t=33.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(17/19).spike=(self.t_rest=55.875, self.t=51.875, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(17/19).spike=(self.t_rest=74.5, self.t=70.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(17/19).spike=(self.t_rest=93.125, self.t=89.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(17/19).spike=(self.t_rest=111.75, self.t=107.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(17/19).spike=(self.t_rest=130.375, self.t=126.375, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(17/19).spike=(self.t_rest=149.0, self.t=145.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(17/19).spike=(self.t_rest=167.625, self.t=163.625, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(17/19).spike=(self.t_rest=186.25, self.t=182.25, self.tau_ref=4)\n",
      "LIFNeuron.spike_generator(17/19).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 19,17: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 17/20: [ 0.25098039  0.25098039  0.25098039 ...,  0.25098039  0.25098039\n",
      "  0.25098039]\n",
      "Processing spike generator for neuron 17/20: 17/20\n",
      "LIFNeuron.spike_generator(17/20).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(17/20).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Stats for neuron 20,17: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 17/21: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 17/21: 17/21\n",
      "LIFNeuron.spike_generator(17/21).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(17/21).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 21,17: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 17/22: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 17/22: 17/22\n",
      "LIFNeuron.spike_generator(17/22).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(17/22).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 22,17: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 17/23: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 17/23: 17/23\n",
      "LIFNeuron.spike_generator(17/23).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(17/23).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 23,17: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 17/24: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 17/24: 17/24\n",
      "LIFNeuron.spike_generator(17/24).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(17/24).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 24,17: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 17/25: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 17/25: 17/25\n",
      "LIFNeuron.spike_generator(17/25).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(17/25).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 25,17: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 17/26: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 17/26: 17/26\n",
      "LIFNeuron.spike_generator(17/26).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(17/26).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 26,17: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 17/27: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 17/27: 17/27\n",
      "LIFNeuron.spike_generator(17/27).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(17/27).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 27,17: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 18/0: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 18/0: 18/0\n",
      "LIFNeuron.spike_generator(18/0).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(18/0).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 0,18: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 18/1: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 18/1: 18/1\n",
      "LIFNeuron.spike_generator(18/1).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(18/1).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 1,18: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 18/2: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 18/2: 18/2\n",
      "LIFNeuron.spike_generator(18/2).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(18/2).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 2,18: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 18/3: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 18/3: 18/3\n",
      "LIFNeuron.spike_generator(18/3).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(18/3).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 3,18: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 18/4: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 18/4: 18/4\n",
      "LIFNeuron.spike_generator(18/4).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(18/4).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 4,18: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 18/5: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 18/5: 18/5\n",
      "LIFNeuron.spike_generator(18/5).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(18/5).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 5,18: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 18/6: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 18/6: 18/6\n",
      "LIFNeuron.spike_generator(18/6).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(18/6).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 6,18: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 18/7: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 18/7: 18/7\n",
      "LIFNeuron.spike_generator(18/7).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(18/7).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 7,18: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 18/8: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 18/8: 18/8\n",
      "LIFNeuron.spike_generator(18/8).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(18/8).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 8,18: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 18/9: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 18/9: 18/9\n",
      "LIFNeuron.spike_generator(18/9).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(18/9).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 9,18: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 18/10: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 18/10: 18/10\n",
      "LIFNeuron.spike_generator(18/10).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(18/10).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 10,18: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 18/11: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 18/11: 18/11\n",
      "LIFNeuron.spike_generator(18/11).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(18/11).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 11,18: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 18/12: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 18/12: 18/12\n",
      "LIFNeuron.spike_generator(18/12).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(18/12).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 12,18: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 18/13: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 18/13: 18/13\n",
      "LIFNeuron.spike_generator(18/13).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(18/13).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 13,18: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 18/14: [ 0.18039216  0.18039216  0.18039216 ...,  0.18039216  0.18039216\n",
      "  0.18039216]\n",
      "Processing spike generator for neuron 18/14: 18/14\n",
      "LIFNeuron.spike_generator(18/14).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(18/14).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 14,18: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 18/15: [ 0.50980392  0.50980392  0.50980392 ...,  0.50980392  0.50980392\n",
      "  0.50980392]\n",
      "Processing spike generator for neuron 18/15: 18/15\n",
      "LIFNeuron.spike_generator(18/15).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(18/15).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 15,18: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 18/16: [ 0.71764706  0.71764706  0.71764706 ...,  0.71764706  0.71764706\n",
      "  0.71764706]\n",
      "Processing spike generator for neuron 18/16: 18/16\n",
      "LIFNeuron.spike_generator(18/16).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(18/16).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 16,18: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 18/17: [ 0.99215686  0.99215686  0.99215686 ...,  0.99215686  0.99215686\n",
      "  0.99215686]\n",
      "Processing spike generator for neuron 18/17: 18/17\n",
      "LIFNeuron.spike_generator(18/17).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "*** LIFNeuron.spike_generator(18/17).spike=(self.t_rest=18.125, self.t=14.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(18/17).spike=(self.t_rest=36.25, self.t=32.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(18/17).spike=(self.t_rest=54.375, self.t=50.375, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(18/17).spike=(self.t_rest=72.5, self.t=68.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(18/17).spike=(self.t_rest=90.625, self.t=86.625, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(18/17).spike=(self.t_rest=108.75, self.t=104.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(18/17).spike=(self.t_rest=126.875, self.t=122.875, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(18/17).spike=(self.t_rest=145.0, self.t=141.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(18/17).spike=(self.t_rest=163.125, self.t=159.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(18/17).spike=(self.t_rest=181.25, self.t=177.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(18/17).spike=(self.t_rest=199.375, self.t=195.375, self.tau_ref=4)\n",
      "LIFNeuron.spike_generator(18/17).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 17,18: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 18/18: [ 0.99215686  0.99215686  0.99215686 ...,  0.99215686  0.99215686\n",
      "  0.99215686]\n",
      "Processing spike generator for neuron 18/18: 18/18\n",
      "LIFNeuron.spike_generator(18/18).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "*** LIFNeuron.spike_generator(18/18).spike=(self.t_rest=18.125, self.t=14.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(18/18).spike=(self.t_rest=36.25, self.t=32.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(18/18).spike=(self.t_rest=54.375, self.t=50.375, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(18/18).spike=(self.t_rest=72.5, self.t=68.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(18/18).spike=(self.t_rest=90.625, self.t=86.625, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(18/18).spike=(self.t_rest=108.75, self.t=104.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(18/18).spike=(self.t_rest=126.875, self.t=122.875, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(18/18).spike=(self.t_rest=145.0, self.t=141.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(18/18).spike=(self.t_rest=163.125, self.t=159.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(18/18).spike=(self.t_rest=181.25, self.t=177.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(18/18).spike=(self.t_rest=199.375, self.t=195.375, self.tau_ref=4)\n",
      "LIFNeuron.spike_generator(18/18).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 18,18: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 18/19: [ 0.81176471  0.81176471  0.81176471 ...,  0.81176471  0.81176471\n",
      "  0.81176471]\n",
      "Processing spike generator for neuron 18/19: 18/19\n",
      "LIFNeuron.spike_generator(18/19).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "*** LIFNeuron.spike_generator(18/19).spike=(self.t_rest=29.625, self.t=25.625, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(18/19).spike=(self.t_rest=59.25, self.t=55.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(18/19).spike=(self.t_rest=88.875, self.t=84.875, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(18/19).spike=(self.t_rest=118.5, self.t=114.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(18/19).spike=(self.t_rest=148.125, self.t=144.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(18/19).spike=(self.t_rest=177.75, self.t=173.75, self.tau_ref=4)\n",
      "LIFNeuron.spike_generator(18/19).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 19,18: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 18/20: [ 0.00784314  0.00784314  0.00784314 ...,  0.00784314  0.00784314\n",
      "  0.00784314]\n",
      "Processing spike generator for neuron 18/20: 18/20\n",
      "LIFNeuron.spike_generator(18/20).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(18/20).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 20,18: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 18/21: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 18/21: 18/21\n",
      "LIFNeuron.spike_generator(18/21).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(18/21).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 21,18: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 18/22: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 18/22: 18/22\n",
      "LIFNeuron.spike_generator(18/22).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(18/22).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 22,18: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 18/23: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 18/23: 18/23\n",
      "LIFNeuron.spike_generator(18/23).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(18/23).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 23,18: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 18/24: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 18/24: 18/24\n",
      "LIFNeuron.spike_generator(18/24).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(18/24).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 24,18: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 18/25: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 18/25: 18/25\n",
      "LIFNeuron.spike_generator(18/25).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(18/25).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 25,18: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 18/26: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 18/26: 18/26\n",
      "LIFNeuron.spike_generator(18/26).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(18/26).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 26,18: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 18/27: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 18/27: 18/27\n",
      "LIFNeuron.spike_generator(18/27).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(18/27).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 27,18: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 19/0: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 19/0: 19/0\n",
      "LIFNeuron.spike_generator(19/0).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(19/0).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 0,19: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 19/1: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 19/1: 19/1\n",
      "LIFNeuron.spike_generator(19/1).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(19/1).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 1,19: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 19/2: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 19/2: 19/2\n",
      "LIFNeuron.spike_generator(19/2).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(19/2).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 2,19: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 19/3: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 19/3: 19/3\n",
      "LIFNeuron.spike_generator(19/3).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(19/3).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 3,19: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 19/4: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 19/4: 19/4\n",
      "LIFNeuron.spike_generator(19/4).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(19/4).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 4,19: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 19/5: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 19/5: 19/5\n",
      "LIFNeuron.spike_generator(19/5).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(19/5).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 5,19: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 19/6: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 19/6: 19/6\n",
      "LIFNeuron.spike_generator(19/6).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(19/6).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 6,19: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 19/7: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 19/7: 19/7\n",
      "LIFNeuron.spike_generator(19/7).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(19/7).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 7,19: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 19/8: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 19/8: 19/8\n",
      "LIFNeuron.spike_generator(19/8).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(19/8).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 8,19: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 19/9: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 19/9: 19/9\n",
      "LIFNeuron.spike_generator(19/9).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(19/9).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 9,19: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 19/10: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 19/10: 19/10\n",
      "LIFNeuron.spike_generator(19/10).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(19/10).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 10,19: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 19/11: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 19/11: 19/11\n",
      "LIFNeuron.spike_generator(19/11).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(19/11).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 11,19: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 19/12: [ 0.15294118  0.15294118  0.15294118 ...,  0.15294118  0.15294118\n",
      "  0.15294118]\n",
      "Processing spike generator for neuron 19/12: 19/12\n",
      "LIFNeuron.spike_generator(19/12).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(19/12).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 12,19: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 19/13: [ 0.58039216  0.58039216  0.58039216 ...,  0.58039216  0.58039216\n",
      "  0.58039216]\n",
      "Processing spike generator for neuron 19/13: 19/13\n",
      "LIFNeuron.spike_generator(19/13).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(19/13).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 13,19: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 19/14: [ 0.89803922  0.89803922  0.89803922 ...,  0.89803922  0.89803922\n",
      "  0.89803922]\n",
      "Processing spike generator for neuron 19/14: 19/14\n",
      "LIFNeuron.spike_generator(19/14).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "*** LIFNeuron.spike_generator(19/14).spike=(self.t_rest=22.0, self.t=18.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(19/14).spike=(self.t_rest=44.0, self.t=40.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(19/14).spike=(self.t_rest=66.0, self.t=62.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(19/14).spike=(self.t_rest=88.0, self.t=84.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(19/14).spike=(self.t_rest=110.0, self.t=106.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(19/14).spike=(self.t_rest=132.0, self.t=128.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(19/14).spike=(self.t_rest=154.0, self.t=150.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(19/14).spike=(self.t_rest=176.0, self.t=172.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(19/14).spike=(self.t_rest=198.0, self.t=194.0, self.tau_ref=4)\n",
      "LIFNeuron.spike_generator(19/14).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 14,19: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 19/15: [ 0.99215686  0.99215686  0.99215686 ...,  0.99215686  0.99215686\n",
      "  0.99215686]\n",
      "Processing spike generator for neuron 19/15: 19/15\n",
      "LIFNeuron.spike_generator(19/15).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "*** LIFNeuron.spike_generator(19/15).spike=(self.t_rest=18.125, self.t=14.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(19/15).spike=(self.t_rest=36.25, self.t=32.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(19/15).spike=(self.t_rest=54.375, self.t=50.375, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(19/15).spike=(self.t_rest=72.5, self.t=68.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(19/15).spike=(self.t_rest=90.625, self.t=86.625, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(19/15).spike=(self.t_rest=108.75, self.t=104.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(19/15).spike=(self.t_rest=126.875, self.t=122.875, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(19/15).spike=(self.t_rest=145.0, self.t=141.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(19/15).spike=(self.t_rest=163.125, self.t=159.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(19/15).spike=(self.t_rest=181.25, self.t=177.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(19/15).spike=(self.t_rest=199.375, self.t=195.375, self.tau_ref=4)\n",
      "LIFNeuron.spike_generator(19/15).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 15,19: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 19/16: [ 0.99215686  0.99215686  0.99215686 ...,  0.99215686  0.99215686\n",
      "  0.99215686]\n",
      "Processing spike generator for neuron 19/16: 19/16\n",
      "LIFNeuron.spike_generator(19/16).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "*** LIFNeuron.spike_generator(19/16).spike=(self.t_rest=18.125, self.t=14.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(19/16).spike=(self.t_rest=36.25, self.t=32.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(19/16).spike=(self.t_rest=54.375, self.t=50.375, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(19/16).spike=(self.t_rest=72.5, self.t=68.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(19/16).spike=(self.t_rest=90.625, self.t=86.625, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(19/16).spike=(self.t_rest=108.75, self.t=104.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(19/16).spike=(self.t_rest=126.875, self.t=122.875, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(19/16).spike=(self.t_rest=145.0, self.t=141.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(19/16).spike=(self.t_rest=163.125, self.t=159.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(19/16).spike=(self.t_rest=181.25, self.t=177.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(19/16).spike=(self.t_rest=199.375, self.t=195.375, self.tau_ref=4)\n",
      "LIFNeuron.spike_generator(19/16).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 16,19: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 19/17: [ 0.99215686  0.99215686  0.99215686 ...,  0.99215686  0.99215686\n",
      "  0.99215686]\n",
      "Processing spike generator for neuron 19/17: 19/17\n",
      "LIFNeuron.spike_generator(19/17).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "*** LIFNeuron.spike_generator(19/17).spike=(self.t_rest=18.125, self.t=14.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(19/17).spike=(self.t_rest=36.25, self.t=32.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(19/17).spike=(self.t_rest=54.375, self.t=50.375, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(19/17).spike=(self.t_rest=72.5, self.t=68.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(19/17).spike=(self.t_rest=90.625, self.t=86.625, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(19/17).spike=(self.t_rest=108.75, self.t=104.75, self.tau_ref=4)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "*** LIFNeuron.spike_generator(19/17).spike=(self.t_rest=126.875, self.t=122.875, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(19/17).spike=(self.t_rest=145.0, self.t=141.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(19/17).spike=(self.t_rest=163.125, self.t=159.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(19/17).spike=(self.t_rest=181.25, self.t=177.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(19/17).spike=(self.t_rest=199.375, self.t=195.375, self.tau_ref=4)\n",
      "LIFNeuron.spike_generator(19/17).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 17,19: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 19/18: [ 0.98039216  0.98039216  0.98039216 ...,  0.98039216  0.98039216\n",
      "  0.98039216]\n",
      "Processing spike generator for neuron 19/18: 19/18\n",
      "LIFNeuron.spike_generator(19/18).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "*** LIFNeuron.spike_generator(19/18).spike=(self.t_rest=18.5, self.t=14.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(19/18).spike=(self.t_rest=37.0, self.t=33.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(19/18).spike=(self.t_rest=55.5, self.t=51.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(19/18).spike=(self.t_rest=74.0, self.t=70.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(19/18).spike=(self.t_rest=92.5, self.t=88.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(19/18).spike=(self.t_rest=111.0, self.t=107.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(19/18).spike=(self.t_rest=129.5, self.t=125.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(19/18).spike=(self.t_rest=148.0, self.t=144.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(19/18).spike=(self.t_rest=166.5, self.t=162.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(19/18).spike=(self.t_rest=185.0, self.t=181.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(19/18).spike=(self.t_rest=203.5, self.t=199.5, self.tau_ref=4)\n",
      "LIFNeuron.spike_generator(19/18).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 18,19: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 19/19: [ 0.71372549  0.71372549  0.71372549 ...,  0.71372549  0.71372549\n",
      "  0.71372549]\n",
      "Processing spike generator for neuron 19/19: 19/19\n",
      "LIFNeuron.spike_generator(19/19).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(19/19).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 19,19: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 19/20: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 19/20: 19/20\n",
      "LIFNeuron.spike_generator(19/20).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(19/20).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 20,19: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 19/21: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 19/21: 19/21\n",
      "LIFNeuron.spike_generator(19/21).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(19/21).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 21,19: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 19/22: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 19/22: 19/22\n",
      "LIFNeuron.spike_generator(19/22).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(19/22).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 22,19: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 19/23: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 19/23: 19/23\n",
      "LIFNeuron.spike_generator(19/23).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(19/23).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 23,19: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 19/24: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 19/24: 19/24\n",
      "LIFNeuron.spike_generator(19/24).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(19/24).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 24,19: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 19/25: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 19/25: 19/25\n",
      "LIFNeuron.spike_generator(19/25).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(19/25).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 25,19: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 19/26: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 19/26: 19/26\n",
      "LIFNeuron.spike_generator(19/26).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(19/26).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 26,19: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 19/27: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 19/27: 19/27\n",
      "LIFNeuron.spike_generator(19/27).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(19/27).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 27,19: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 20/0: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 20/0: 20/0\n",
      "LIFNeuron.spike_generator(20/0).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(20/0).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 0,20: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 20/1: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 20/1: 20/1\n",
      "LIFNeuron.spike_generator(20/1).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(20/1).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 1,20: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 20/2: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 20/2: 20/2\n",
      "LIFNeuron.spike_generator(20/2).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(20/2).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 2,20: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 20/3: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 20/3: 20/3\n",
      "LIFNeuron.spike_generator(20/3).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(20/3).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 3,20: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 20/4: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 20/4: 20/4\n",
      "LIFNeuron.spike_generator(20/4).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(20/4).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 4,20: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 20/5: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 20/5: 20/5\n",
      "LIFNeuron.spike_generator(20/5).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(20/5).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 5,20: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 20/6: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 20/6: 20/6\n",
      "LIFNeuron.spike_generator(20/6).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(20/6).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 6,20: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 20/7: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 20/7: 20/7\n",
      "LIFNeuron.spike_generator(20/7).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(20/7).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 7,20: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 20/8: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 20/8: 20/8\n",
      "LIFNeuron.spike_generator(20/8).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(20/8).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 8,20: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 20/9: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 20/9: 20/9\n",
      "LIFNeuron.spike_generator(20/9).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(20/9).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 9,20: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 20/10: [ 0.09411765  0.09411765  0.09411765 ...,  0.09411765  0.09411765\n",
      "  0.09411765]\n",
      "Processing spike generator for neuron 20/10: 20/10\n",
      "LIFNeuron.spike_generator(20/10).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(20/10).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 10,20: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 20/11: [ 0.44705882  0.44705882  0.44705882 ...,  0.44705882  0.44705882\n",
      "  0.44705882]\n",
      "Processing spike generator for neuron 20/11: 20/11\n",
      "LIFNeuron.spike_generator(20/11).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(20/11).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 11,20: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 20/12: [ 0.86666667  0.86666667  0.86666667 ...,  0.86666667  0.86666667\n",
      "  0.86666667]\n",
      "Processing spike generator for neuron 20/12: 20/12\n",
      "LIFNeuron.spike_generator(20/12).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "*** LIFNeuron.spike_generator(20/12).spike=(self.t_rest=24.0, self.t=20.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(20/12).spike=(self.t_rest=48.0, self.t=44.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(20/12).spike=(self.t_rest=72.0, self.t=68.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(20/12).spike=(self.t_rest=96.0, self.t=92.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(20/12).spike=(self.t_rest=120.0, self.t=116.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(20/12).spike=(self.t_rest=144.0, self.t=140.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(20/12).spike=(self.t_rest=168.0, self.t=164.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(20/12).spike=(self.t_rest=192.0, self.t=188.0, self.tau_ref=4)\n",
      "LIFNeuron.spike_generator(20/12).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 12,20: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 20/13: [ 0.99215686  0.99215686  0.99215686 ...,  0.99215686  0.99215686\n",
      "  0.99215686]\n",
      "Processing spike generator for neuron 20/13: 20/13\n",
      "LIFNeuron.spike_generator(20/13).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "*** LIFNeuron.spike_generator(20/13).spike=(self.t_rest=18.125, self.t=14.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(20/13).spike=(self.t_rest=36.25, self.t=32.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(20/13).spike=(self.t_rest=54.375, self.t=50.375, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(20/13).spike=(self.t_rest=72.5, self.t=68.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(20/13).spike=(self.t_rest=90.625, self.t=86.625, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(20/13).spike=(self.t_rest=108.75, self.t=104.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(20/13).spike=(self.t_rest=126.875, self.t=122.875, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(20/13).spike=(self.t_rest=145.0, self.t=141.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(20/13).spike=(self.t_rest=163.125, self.t=159.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(20/13).spike=(self.t_rest=181.25, self.t=177.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(20/13).spike=(self.t_rest=199.375, self.t=195.375, self.tau_ref=4)\n",
      "LIFNeuron.spike_generator(20/13).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 13,20: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 20/14: [ 0.99215686  0.99215686  0.99215686 ...,  0.99215686  0.99215686\n",
      "  0.99215686]\n",
      "Processing spike generator for neuron 20/14: 20/14\n",
      "LIFNeuron.spike_generator(20/14).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "*** LIFNeuron.spike_generator(20/14).spike=(self.t_rest=18.125, self.t=14.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(20/14).spike=(self.t_rest=36.25, self.t=32.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(20/14).spike=(self.t_rest=54.375, self.t=50.375, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(20/14).spike=(self.t_rest=72.5, self.t=68.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(20/14).spike=(self.t_rest=90.625, self.t=86.625, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(20/14).spike=(self.t_rest=108.75, self.t=104.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(20/14).spike=(self.t_rest=126.875, self.t=122.875, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(20/14).spike=(self.t_rest=145.0, self.t=141.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(20/14).spike=(self.t_rest=163.125, self.t=159.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(20/14).spike=(self.t_rest=181.25, self.t=177.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(20/14).spike=(self.t_rest=199.375, self.t=195.375, self.tau_ref=4)\n",
      "LIFNeuron.spike_generator(20/14).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 14,20: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 20/15: [ 0.99215686  0.99215686  0.99215686 ...,  0.99215686  0.99215686\n",
      "  0.99215686]\n",
      "Processing spike generator for neuron 20/15: 20/15\n",
      "LIFNeuron.spike_generator(20/15).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "*** LIFNeuron.spike_generator(20/15).spike=(self.t_rest=18.125, self.t=14.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(20/15).spike=(self.t_rest=36.25, self.t=32.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(20/15).spike=(self.t_rest=54.375, self.t=50.375, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(20/15).spike=(self.t_rest=72.5, self.t=68.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(20/15).spike=(self.t_rest=90.625, self.t=86.625, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(20/15).spike=(self.t_rest=108.75, self.t=104.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(20/15).spike=(self.t_rest=126.875, self.t=122.875, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(20/15).spike=(self.t_rest=145.0, self.t=141.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(20/15).spike=(self.t_rest=163.125, self.t=159.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(20/15).spike=(self.t_rest=181.25, self.t=177.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(20/15).spike=(self.t_rest=199.375, self.t=195.375, self.tau_ref=4)\n",
      "LIFNeuron.spike_generator(20/15).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 15,20: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 20/16: [ 0.99215686  0.99215686  0.99215686 ...,  0.99215686  0.99215686\n",
      "  0.99215686]\n",
      "Processing spike generator for neuron 20/16: 20/16\n",
      "LIFNeuron.spike_generator(20/16).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "*** LIFNeuron.spike_generator(20/16).spike=(self.t_rest=18.125, self.t=14.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(20/16).spike=(self.t_rest=36.25, self.t=32.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(20/16).spike=(self.t_rest=54.375, self.t=50.375, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(20/16).spike=(self.t_rest=72.5, self.t=68.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(20/16).spike=(self.t_rest=90.625, self.t=86.625, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(20/16).spike=(self.t_rest=108.75, self.t=104.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(20/16).spike=(self.t_rest=126.875, self.t=122.875, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(20/16).spike=(self.t_rest=145.0, self.t=141.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(20/16).spike=(self.t_rest=163.125, self.t=159.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(20/16).spike=(self.t_rest=181.25, self.t=177.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(20/16).spike=(self.t_rest=199.375, self.t=195.375, self.tau_ref=4)\n",
      "LIFNeuron.spike_generator(20/16).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 16,20: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 20/17: [ 0.78823529  0.78823529  0.78823529 ...,  0.78823529  0.78823529\n",
      "  0.78823529]\n",
      "Processing spike generator for neuron 20/17: 20/17\n",
      "LIFNeuron.spike_generator(20/17).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "*** LIFNeuron.spike_generator(20/17).spike=(self.t_rest=34.125, self.t=30.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(20/17).spike=(self.t_rest=68.25, self.t=64.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(20/17).spike=(self.t_rest=102.375, self.t=98.375, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(20/17).spike=(self.t_rest=136.5, self.t=132.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(20/17).spike=(self.t_rest=170.625, self.t=166.625, self.tau_ref=4)\n",
      "LIFNeuron.spike_generator(20/17).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 17,20: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 20/18: [ 0.30588235  0.30588235  0.30588235 ...,  0.30588235  0.30588235\n",
      "  0.30588235]\n",
      "Processing spike generator for neuron 20/18: 20/18\n",
      "LIFNeuron.spike_generator(20/18).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(20/18).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 18,20: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 20/19: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 20/19: 20/19\n",
      "LIFNeuron.spike_generator(20/19).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(20/19).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 19,20: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 20/20: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 20/20: 20/20\n",
      "LIFNeuron.spike_generator(20/20).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(20/20).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 20,20: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 20/21: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 20/21: 20/21\n",
      "LIFNeuron.spike_generator(20/21).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(20/21).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 21,20: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 20/22: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 20/22: 20/22\n",
      "LIFNeuron.spike_generator(20/22).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(20/22).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 22,20: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 20/23: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 20/23: 20/23\n",
      "LIFNeuron.spike_generator(20/23).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(20/23).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 23,20: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 20/24: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 20/24: 20/24\n",
      "LIFNeuron.spike_generator(20/24).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(20/24).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 24,20: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 20/25: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 20/25: 20/25\n",
      "LIFNeuron.spike_generator(20/25).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(20/25).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 25,20: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 20/26: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 20/26: 20/26\n",
      "LIFNeuron.spike_generator(20/26).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(20/26).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 26,20: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 20/27: [ 0.  0.  0. ...,  0.  0.  0.]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Processing spike generator for neuron 20/27: 20/27\n",
      "LIFNeuron.spike_generator(20/27).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(20/27).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 27,20: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 21/0: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 21/0: 21/0\n",
      "LIFNeuron.spike_generator(21/0).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(21/0).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 0,21: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 21/1: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 21/1: 21/1\n",
      "LIFNeuron.spike_generator(21/1).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(21/1).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 1,21: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 21/2: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 21/2: 21/2\n",
      "LIFNeuron.spike_generator(21/2).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(21/2).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 2,21: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 21/3: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 21/3: 21/3\n",
      "LIFNeuron.spike_generator(21/3).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(21/3).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 3,21: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 21/4: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 21/4: 21/4\n",
      "LIFNeuron.spike_generator(21/4).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(21/4).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 4,21: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 21/5: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 21/5: 21/5\n",
      "LIFNeuron.spike_generator(21/5).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(21/5).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 5,21: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 21/6: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 21/6: 21/6\n",
      "LIFNeuron.spike_generator(21/6).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(21/6).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 6,21: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 21/7: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 21/7: 21/7\n",
      "LIFNeuron.spike_generator(21/7).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(21/7).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 7,21: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 21/8: [ 0.09019608  0.09019608  0.09019608 ...,  0.09019608  0.09019608\n",
      "  0.09019608]\n",
      "Processing spike generator for neuron 21/8: 21/8\n",
      "LIFNeuron.spike_generator(21/8).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(21/8).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 8,21: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 21/9: [ 0.25882353  0.25882353  0.25882353 ...,  0.25882353  0.25882353\n",
      "  0.25882353]\n",
      "Processing spike generator for neuron 21/9: 21/9\n",
      "LIFNeuron.spike_generator(21/9).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(21/9).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 9,21: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 21/10: [ 0.83529412  0.83529412  0.83529412 ...,  0.83529412  0.83529412\n",
      "  0.83529412]\n",
      "Processing spike generator for neuron 21/10: 21/10\n",
      "LIFNeuron.spike_generator(21/10).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "*** LIFNeuron.spike_generator(21/10).spike=(self.t_rest=26.75, self.t=22.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(21/10).spike=(self.t_rest=53.5, self.t=49.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(21/10).spike=(self.t_rest=80.25, self.t=76.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(21/10).spike=(self.t_rest=107.0, self.t=103.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(21/10).spike=(self.t_rest=133.75, self.t=129.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(21/10).spike=(self.t_rest=160.5, self.t=156.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(21/10).spike=(self.t_rest=187.25, self.t=183.25, self.tau_ref=4)\n",
      "LIFNeuron.spike_generator(21/10).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 10,21: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 21/11: [ 0.99215686  0.99215686  0.99215686 ...,  0.99215686  0.99215686\n",
      "  0.99215686]\n",
      "Processing spike generator for neuron 21/11: 21/11\n",
      "LIFNeuron.spike_generator(21/11).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "*** LIFNeuron.spike_generator(21/11).spike=(self.t_rest=18.125, self.t=14.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(21/11).spike=(self.t_rest=36.25, self.t=32.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(21/11).spike=(self.t_rest=54.375, self.t=50.375, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(21/11).spike=(self.t_rest=72.5, self.t=68.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(21/11).spike=(self.t_rest=90.625, self.t=86.625, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(21/11).spike=(self.t_rest=108.75, self.t=104.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(21/11).spike=(self.t_rest=126.875, self.t=122.875, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(21/11).spike=(self.t_rest=145.0, self.t=141.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(21/11).spike=(self.t_rest=163.125, self.t=159.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(21/11).spike=(self.t_rest=181.25, self.t=177.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(21/11).spike=(self.t_rest=199.375, self.t=195.375, self.tau_ref=4)\n",
      "LIFNeuron.spike_generator(21/11).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 11,21: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 21/12: [ 0.99215686  0.99215686  0.99215686 ...,  0.99215686  0.99215686\n",
      "  0.99215686]\n",
      "Processing spike generator for neuron 21/12: 21/12\n",
      "LIFNeuron.spike_generator(21/12).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "*** LIFNeuron.spike_generator(21/12).spike=(self.t_rest=18.125, self.t=14.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(21/12).spike=(self.t_rest=36.25, self.t=32.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(21/12).spike=(self.t_rest=54.375, self.t=50.375, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(21/12).spike=(self.t_rest=72.5, self.t=68.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(21/12).spike=(self.t_rest=90.625, self.t=86.625, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(21/12).spike=(self.t_rest=108.75, self.t=104.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(21/12).spike=(self.t_rest=126.875, self.t=122.875, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(21/12).spike=(self.t_rest=145.0, self.t=141.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(21/12).spike=(self.t_rest=163.125, self.t=159.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(21/12).spike=(self.t_rest=181.25, self.t=177.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(21/12).spike=(self.t_rest=199.375, self.t=195.375, self.tau_ref=4)\n",
      "LIFNeuron.spike_generator(21/12).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 12,21: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 21/13: [ 0.99215686  0.99215686  0.99215686 ...,  0.99215686  0.99215686\n",
      "  0.99215686]\n",
      "Processing spike generator for neuron 21/13: 21/13\n",
      "LIFNeuron.spike_generator(21/13).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "*** LIFNeuron.spike_generator(21/13).spike=(self.t_rest=18.125, self.t=14.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(21/13).spike=(self.t_rest=36.25, self.t=32.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(21/13).spike=(self.t_rest=54.375, self.t=50.375, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(21/13).spike=(self.t_rest=72.5, self.t=68.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(21/13).spike=(self.t_rest=90.625, self.t=86.625, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(21/13).spike=(self.t_rest=108.75, self.t=104.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(21/13).spike=(self.t_rest=126.875, self.t=122.875, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(21/13).spike=(self.t_rest=145.0, self.t=141.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(21/13).spike=(self.t_rest=163.125, self.t=159.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(21/13).spike=(self.t_rest=181.25, self.t=177.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(21/13).spike=(self.t_rest=199.375, self.t=195.375, self.tau_ref=4)\n",
      "LIFNeuron.spike_generator(21/13).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 13,21: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 21/14: [ 0.99215686  0.99215686  0.99215686 ...,  0.99215686  0.99215686\n",
      "  0.99215686]\n",
      "Processing spike generator for neuron 21/14: 21/14\n",
      "LIFNeuron.spike_generator(21/14).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "*** LIFNeuron.spike_generator(21/14).spike=(self.t_rest=18.125, self.t=14.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(21/14).spike=(self.t_rest=36.25, self.t=32.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(21/14).spike=(self.t_rest=54.375, self.t=50.375, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(21/14).spike=(self.t_rest=72.5, self.t=68.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(21/14).spike=(self.t_rest=90.625, self.t=86.625, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(21/14).spike=(self.t_rest=108.75, self.t=104.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(21/14).spike=(self.t_rest=126.875, self.t=122.875, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(21/14).spike=(self.t_rest=145.0, self.t=141.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(21/14).spike=(self.t_rest=163.125, self.t=159.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(21/14).spike=(self.t_rest=181.25, self.t=177.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(21/14).spike=(self.t_rest=199.375, self.t=195.375, self.tau_ref=4)\n",
      "LIFNeuron.spike_generator(21/14).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 14,21: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 21/15: [ 0.77647059  0.77647059  0.77647059 ...,  0.77647059  0.77647059\n",
      "  0.77647059]\n",
      "Processing spike generator for neuron 21/15: 21/15\n",
      "LIFNeuron.spike_generator(21/15).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "*** LIFNeuron.spike_generator(21/15).spike=(self.t_rest=37.625, self.t=33.625, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(21/15).spike=(self.t_rest=75.25, self.t=71.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(21/15).spike=(self.t_rest=112.875, self.t=108.875, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(21/15).spike=(self.t_rest=150.5, self.t=146.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(21/15).spike=(self.t_rest=188.125, self.t=184.125, self.tau_ref=4)\n",
      "LIFNeuron.spike_generator(21/15).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 15,21: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 21/16: [ 0.31764706  0.31764706  0.31764706 ...,  0.31764706  0.31764706\n",
      "  0.31764706]\n",
      "Processing spike generator for neuron 21/16: 21/16\n",
      "LIFNeuron.spike_generator(21/16).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(21/16).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 16,21: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 21/17: [ 0.00784314  0.00784314  0.00784314 ...,  0.00784314  0.00784314\n",
      "  0.00784314]\n",
      "Processing spike generator for neuron 21/17: 21/17\n",
      "LIFNeuron.spike_generator(21/17).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(21/17).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 17,21: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 21/18: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 21/18: 21/18\n",
      "LIFNeuron.spike_generator(21/18).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(21/18).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 18,21: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 21/19: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 21/19: 21/19\n",
      "LIFNeuron.spike_generator(21/19).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(21/19).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 19,21: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 21/20: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 21/20: 21/20\n",
      "LIFNeuron.spike_generator(21/20).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(21/20).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 20,21: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 21/21: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 21/21: 21/21\n",
      "LIFNeuron.spike_generator(21/21).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(21/21).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 21,21: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 21/22: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 21/22: 21/22\n",
      "LIFNeuron.spike_generator(21/22).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(21/22).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 22,21: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 21/23: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 21/23: 21/23\n",
      "LIFNeuron.spike_generator(21/23).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(21/23).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 23,21: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 21/24: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 21/24: 21/24\n",
      "LIFNeuron.spike_generator(21/24).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(21/24).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 24,21: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 21/25: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 21/25: 21/25\n",
      "LIFNeuron.spike_generator(21/25).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(21/25).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 25,21: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 21/26: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 21/26: 21/26\n",
      "LIFNeuron.spike_generator(21/26).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(21/26).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 26,21: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 21/27: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 21/27: 21/27\n",
      "LIFNeuron.spike_generator(21/27).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(21/27).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 27,21: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 22/0: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 22/0: 22/0\n",
      "LIFNeuron.spike_generator(22/0).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(22/0).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 0,22: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 22/1: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 22/1: 22/1\n",
      "LIFNeuron.spike_generator(22/1).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(22/1).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 1,22: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 22/2: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 22/2: 22/2\n",
      "LIFNeuron.spike_generator(22/2).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(22/2).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 2,22: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 22/3: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 22/3: 22/3\n",
      "LIFNeuron.spike_generator(22/3).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(22/3).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 3,22: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 22/4: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 22/4: 22/4\n",
      "LIFNeuron.spike_generator(22/4).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(22/4).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 4,22: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 22/5: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 22/5: 22/5\n",
      "LIFNeuron.spike_generator(22/5).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(22/5).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 5,22: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 22/6: [ 0.07058824  0.07058824  0.07058824 ...,  0.07058824  0.07058824\n",
      "  0.07058824]\n",
      "Processing spike generator for neuron 22/6: 22/6\n",
      "LIFNeuron.spike_generator(22/6).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(22/6).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 6,22: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 22/7: [ 0.67058824  0.67058824  0.67058824 ...,  0.67058824  0.67058824\n",
      "  0.67058824]\n",
      "Processing spike generator for neuron 22/7: 22/7\n",
      "LIFNeuron.spike_generator(22/7).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(22/7).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 7,22: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 22/8: [ 0.85882353  0.85882353  0.85882353 ...,  0.85882353  0.85882353\n",
      "  0.85882353]\n",
      "Processing spike generator for neuron 22/8: 22/8\n",
      "LIFNeuron.spike_generator(22/8).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "*** LIFNeuron.spike_generator(22/8).spike=(self.t_rest=24.625, self.t=20.625, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(22/8).spike=(self.t_rest=49.25, self.t=45.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(22/8).spike=(self.t_rest=73.875, self.t=69.875, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(22/8).spike=(self.t_rest=98.5, self.t=94.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(22/8).spike=(self.t_rest=123.125, self.t=119.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(22/8).spike=(self.t_rest=147.75, self.t=143.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(22/8).spike=(self.t_rest=172.375, self.t=168.375, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(22/8).spike=(self.t_rest=197.0, self.t=193.0, self.tau_ref=4)\n",
      "LIFNeuron.spike_generator(22/8).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 8,22: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 22/9: [ 0.99215686  0.99215686  0.99215686 ...,  0.99215686  0.99215686\n",
      "  0.99215686]\n",
      "Processing spike generator for neuron 22/9: 22/9\n",
      "LIFNeuron.spike_generator(22/9).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "*** LIFNeuron.spike_generator(22/9).spike=(self.t_rest=18.125, self.t=14.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(22/9).spike=(self.t_rest=36.25, self.t=32.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(22/9).spike=(self.t_rest=54.375, self.t=50.375, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(22/9).spike=(self.t_rest=72.5, self.t=68.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(22/9).spike=(self.t_rest=90.625, self.t=86.625, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(22/9).spike=(self.t_rest=108.75, self.t=104.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(22/9).spike=(self.t_rest=126.875, self.t=122.875, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(22/9).spike=(self.t_rest=145.0, self.t=141.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(22/9).spike=(self.t_rest=163.125, self.t=159.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(22/9).spike=(self.t_rest=181.25, self.t=177.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(22/9).spike=(self.t_rest=199.375, self.t=195.375, self.tau_ref=4)\n",
      "LIFNeuron.spike_generator(22/9).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 9,22: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 22/10: [ 0.99215686  0.99215686  0.99215686 ...,  0.99215686  0.99215686\n",
      "  0.99215686]\n",
      "Processing spike generator for neuron 22/10: 22/10\n",
      "LIFNeuron.spike_generator(22/10).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "*** LIFNeuron.spike_generator(22/10).spike=(self.t_rest=18.125, self.t=14.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(22/10).spike=(self.t_rest=36.25, self.t=32.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(22/10).spike=(self.t_rest=54.375, self.t=50.375, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(22/10).spike=(self.t_rest=72.5, self.t=68.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(22/10).spike=(self.t_rest=90.625, self.t=86.625, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(22/10).spike=(self.t_rest=108.75, self.t=104.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(22/10).spike=(self.t_rest=126.875, self.t=122.875, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(22/10).spike=(self.t_rest=145.0, self.t=141.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(22/10).spike=(self.t_rest=163.125, self.t=159.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(22/10).spike=(self.t_rest=181.25, self.t=177.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(22/10).spike=(self.t_rest=199.375, self.t=195.375, self.tau_ref=4)\n",
      "LIFNeuron.spike_generator(22/10).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 10,22: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 22/11: [ 0.99215686  0.99215686  0.99215686 ...,  0.99215686  0.99215686\n",
      "  0.99215686]\n",
      "Processing spike generator for neuron 22/11: 22/11\n",
      "LIFNeuron.spike_generator(22/11).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "*** LIFNeuron.spike_generator(22/11).spike=(self.t_rest=18.125, self.t=14.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(22/11).spike=(self.t_rest=36.25, self.t=32.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(22/11).spike=(self.t_rest=54.375, self.t=50.375, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(22/11).spike=(self.t_rest=72.5, self.t=68.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(22/11).spike=(self.t_rest=90.625, self.t=86.625, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(22/11).spike=(self.t_rest=108.75, self.t=104.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(22/11).spike=(self.t_rest=126.875, self.t=122.875, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(22/11).spike=(self.t_rest=145.0, self.t=141.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(22/11).spike=(self.t_rest=163.125, self.t=159.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(22/11).spike=(self.t_rest=181.25, self.t=177.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(22/11).spike=(self.t_rest=199.375, self.t=195.375, self.tau_ref=4)\n",
      "LIFNeuron.spike_generator(22/11).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 11,22: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 22/12: [ 0.99215686  0.99215686  0.99215686 ...,  0.99215686  0.99215686\n",
      "  0.99215686]\n",
      "Processing spike generator for neuron 22/12: 22/12\n",
      "LIFNeuron.spike_generator(22/12).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "*** LIFNeuron.spike_generator(22/12).spike=(self.t_rest=18.125, self.t=14.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(22/12).spike=(self.t_rest=36.25, self.t=32.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(22/12).spike=(self.t_rest=54.375, self.t=50.375, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(22/12).spike=(self.t_rest=72.5, self.t=68.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(22/12).spike=(self.t_rest=90.625, self.t=86.625, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(22/12).spike=(self.t_rest=108.75, self.t=104.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(22/12).spike=(self.t_rest=126.875, self.t=122.875, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(22/12).spike=(self.t_rest=145.0, self.t=141.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(22/12).spike=(self.t_rest=163.125, self.t=159.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(22/12).spike=(self.t_rest=181.25, self.t=177.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(22/12).spike=(self.t_rest=199.375, self.t=195.375, self.tau_ref=4)\n",
      "LIFNeuron.spike_generator(22/12).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 12,22: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 22/13: [ 0.76470588  0.76470588  0.76470588 ...,  0.76470588  0.76470588\n",
      "  0.76470588]\n",
      "Processing spike generator for neuron 22/13: 22/13\n",
      "LIFNeuron.spike_generator(22/13).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "*** LIFNeuron.spike_generator(22/13).spike=(self.t_rest=43.375, self.t=39.375, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(22/13).spike=(self.t_rest=86.75, self.t=82.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(22/13).spike=(self.t_rest=130.125, self.t=126.125, self.tau_ref=4)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "*** LIFNeuron.spike_generator(22/13).spike=(self.t_rest=173.5, self.t=169.5, self.tau_ref=4)\n",
      "LIFNeuron.spike_generator(22/13).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 13,22: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 22/14: [ 0.31372549  0.31372549  0.31372549 ...,  0.31372549  0.31372549\n",
      "  0.31372549]\n",
      "Processing spike generator for neuron 22/14: 22/14\n",
      "LIFNeuron.spike_generator(22/14).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(22/14).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 14,22: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 22/15: [ 0.03529412  0.03529412  0.03529412 ...,  0.03529412  0.03529412\n",
      "  0.03529412]\n",
      "Processing spike generator for neuron 22/15: 22/15\n",
      "LIFNeuron.spike_generator(22/15).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(22/15).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 15,22: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 22/16: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 22/16: 22/16\n",
      "LIFNeuron.spike_generator(22/16).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(22/16).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 16,22: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 22/17: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 22/17: 22/17\n",
      "LIFNeuron.spike_generator(22/17).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(22/17).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 17,22: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 22/18: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 22/18: 22/18\n",
      "LIFNeuron.spike_generator(22/18).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(22/18).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 18,22: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 22/19: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 22/19: 22/19\n",
      "LIFNeuron.spike_generator(22/19).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(22/19).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 19,22: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 22/20: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 22/20: 22/20\n",
      "LIFNeuron.spike_generator(22/20).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(22/20).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 20,22: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 22/21: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 22/21: 22/21\n",
      "LIFNeuron.spike_generator(22/21).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(22/21).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 21,22: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 22/22: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 22/22: 22/22\n",
      "LIFNeuron.spike_generator(22/22).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(22/22).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 22,22: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 22/23: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 22/23: 22/23\n",
      "LIFNeuron.spike_generator(22/23).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(22/23).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 23,22: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 22/24: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 22/24: 22/24\n",
      "LIFNeuron.spike_generator(22/24).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(22/24).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 24,22: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 22/25: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 22/25: 22/25\n",
      "LIFNeuron.spike_generator(22/25).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(22/25).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 25,22: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 22/26: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 22/26: 22/26\n",
      "LIFNeuron.spike_generator(22/26).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(22/26).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 26,22: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 22/27: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 22/27: 22/27\n",
      "LIFNeuron.spike_generator(22/27).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(22/27).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 27,22: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 23/0: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 23/0: 23/0\n",
      "LIFNeuron.spike_generator(23/0).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(23/0).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 0,23: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 23/1: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 23/1: 23/1\n",
      "LIFNeuron.spike_generator(23/1).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(23/1).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 1,23: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 23/2: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 23/2: 23/2\n",
      "LIFNeuron.spike_generator(23/2).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(23/2).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 2,23: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 23/3: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 23/3: 23/3\n",
      "LIFNeuron.spike_generator(23/3).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(23/3).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 3,23: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 23/4: [ 0.21568627  0.21568627  0.21568627 ...,  0.21568627  0.21568627\n",
      "  0.21568627]\n",
      "Processing spike generator for neuron 23/4: 23/4\n",
      "LIFNeuron.spike_generator(23/4).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(23/4).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 4,23: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 23/5: [ 0.6745098  0.6745098  0.6745098 ...,  0.6745098  0.6745098  0.6745098]\n",
      "Processing spike generator for neuron 23/5: 23/5\n",
      "LIFNeuron.spike_generator(23/5).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(23/5).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 5,23: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 23/6: [ 0.88627451  0.88627451  0.88627451 ...,  0.88627451  0.88627451\n",
      "  0.88627451]\n",
      "Processing spike generator for neuron 23/6: 23/6\n",
      "LIFNeuron.spike_generator(23/6).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "*** LIFNeuron.spike_generator(23/6).spike=(self.t_rest=22.625, self.t=18.625, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(23/6).spike=(self.t_rest=45.25, self.t=41.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(23/6).spike=(self.t_rest=67.875, self.t=63.875, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(23/6).spike=(self.t_rest=90.5, self.t=86.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(23/6).spike=(self.t_rest=113.125, self.t=109.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(23/6).spike=(self.t_rest=135.75, self.t=131.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(23/6).spike=(self.t_rest=158.375, self.t=154.375, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(23/6).spike=(self.t_rest=181.0, self.t=177.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(23/6).spike=(self.t_rest=203.625, self.t=199.625, self.tau_ref=4)\n",
      "LIFNeuron.spike_generator(23/6).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 6,23: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  1.  0.  0.]\n",
      "Stimulus from image @ 23/7: [ 0.99215686  0.99215686  0.99215686 ...,  0.99215686  0.99215686\n",
      "  0.99215686]\n",
      "Processing spike generator for neuron 23/7: 23/7\n",
      "LIFNeuron.spike_generator(23/7).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "*** LIFNeuron.spike_generator(23/7).spike=(self.t_rest=18.125, self.t=14.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(23/7).spike=(self.t_rest=36.25, self.t=32.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(23/7).spike=(self.t_rest=54.375, self.t=50.375, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(23/7).spike=(self.t_rest=72.5, self.t=68.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(23/7).spike=(self.t_rest=90.625, self.t=86.625, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(23/7).spike=(self.t_rest=108.75, self.t=104.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(23/7).spike=(self.t_rest=126.875, self.t=122.875, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(23/7).spike=(self.t_rest=145.0, self.t=141.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(23/7).spike=(self.t_rest=163.125, self.t=159.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(23/7).spike=(self.t_rest=181.25, self.t=177.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(23/7).spike=(self.t_rest=199.375, self.t=195.375, self.tau_ref=4)\n",
      "LIFNeuron.spike_generator(23/7).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 7,23: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 23/8: [ 0.99215686  0.99215686  0.99215686 ...,  0.99215686  0.99215686\n",
      "  0.99215686]\n",
      "Processing spike generator for neuron 23/8: 23/8\n",
      "LIFNeuron.spike_generator(23/8).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "*** LIFNeuron.spike_generator(23/8).spike=(self.t_rest=18.125, self.t=14.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(23/8).spike=(self.t_rest=36.25, self.t=32.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(23/8).spike=(self.t_rest=54.375, self.t=50.375, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(23/8).spike=(self.t_rest=72.5, self.t=68.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(23/8).spike=(self.t_rest=90.625, self.t=86.625, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(23/8).spike=(self.t_rest=108.75, self.t=104.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(23/8).spike=(self.t_rest=126.875, self.t=122.875, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(23/8).spike=(self.t_rest=145.0, self.t=141.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(23/8).spike=(self.t_rest=163.125, self.t=159.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(23/8).spike=(self.t_rest=181.25, self.t=177.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(23/8).spike=(self.t_rest=199.375, self.t=195.375, self.tau_ref=4)\n",
      "LIFNeuron.spike_generator(23/8).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 8,23: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 23/9: [ 0.99215686  0.99215686  0.99215686 ...,  0.99215686  0.99215686\n",
      "  0.99215686]\n",
      "Processing spike generator for neuron 23/9: 23/9\n",
      "LIFNeuron.spike_generator(23/9).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "*** LIFNeuron.spike_generator(23/9).spike=(self.t_rest=18.125, self.t=14.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(23/9).spike=(self.t_rest=36.25, self.t=32.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(23/9).spike=(self.t_rest=54.375, self.t=50.375, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(23/9).spike=(self.t_rest=72.5, self.t=68.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(23/9).spike=(self.t_rest=90.625, self.t=86.625, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(23/9).spike=(self.t_rest=108.75, self.t=104.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(23/9).spike=(self.t_rest=126.875, self.t=122.875, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(23/9).spike=(self.t_rest=145.0, self.t=141.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(23/9).spike=(self.t_rest=163.125, self.t=159.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(23/9).spike=(self.t_rest=181.25, self.t=177.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(23/9).spike=(self.t_rest=199.375, self.t=195.375, self.tau_ref=4)\n",
      "LIFNeuron.spike_generator(23/9).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 9,23: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 23/10: [ 0.99215686  0.99215686  0.99215686 ...,  0.99215686  0.99215686\n",
      "  0.99215686]\n",
      "Processing spike generator for neuron 23/10: 23/10\n",
      "LIFNeuron.spike_generator(23/10).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "*** LIFNeuron.spike_generator(23/10).spike=(self.t_rest=18.125, self.t=14.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(23/10).spike=(self.t_rest=36.25, self.t=32.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(23/10).spike=(self.t_rest=54.375, self.t=50.375, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(23/10).spike=(self.t_rest=72.5, self.t=68.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(23/10).spike=(self.t_rest=90.625, self.t=86.625, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(23/10).spike=(self.t_rest=108.75, self.t=104.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(23/10).spike=(self.t_rest=126.875, self.t=122.875, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(23/10).spike=(self.t_rest=145.0, self.t=141.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(23/10).spike=(self.t_rest=163.125, self.t=159.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(23/10).spike=(self.t_rest=181.25, self.t=177.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(23/10).spike=(self.t_rest=199.375, self.t=195.375, self.tau_ref=4)\n",
      "LIFNeuron.spike_generator(23/10).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 10,23: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 23/11: [ 0.95686275  0.95686275  0.95686275 ...,  0.95686275  0.95686275\n",
      "  0.95686275]\n",
      "Processing spike generator for neuron 23/11: 23/11\n",
      "LIFNeuron.spike_generator(23/11).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "*** LIFNeuron.spike_generator(23/11).spike=(self.t_rest=19.25, self.t=15.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(23/11).spike=(self.t_rest=38.5, self.t=34.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(23/11).spike=(self.t_rest=57.75, self.t=53.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(23/11).spike=(self.t_rest=77.0, self.t=73.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(23/11).spike=(self.t_rest=96.25, self.t=92.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(23/11).spike=(self.t_rest=115.5, self.t=111.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(23/11).spike=(self.t_rest=134.75, self.t=130.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(23/11).spike=(self.t_rest=154.0, self.t=150.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(23/11).spike=(self.t_rest=173.25, self.t=169.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(23/11).spike=(self.t_rest=192.5, self.t=188.5, self.tau_ref=4)\n",
      "LIFNeuron.spike_generator(23/11).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 11,23: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 23/12: [ 0.52156863  0.52156863  0.52156863 ...,  0.52156863  0.52156863\n",
      "  0.52156863]\n",
      "Processing spike generator for neuron 23/12: 23/12\n",
      "LIFNeuron.spike_generator(23/12).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(23/12).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 12,23: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 23/13: [ 0.04313725  0.04313725  0.04313725 ...,  0.04313725  0.04313725\n",
      "  0.04313725]\n",
      "Processing spike generator for neuron 23/13: 23/13\n",
      "LIFNeuron.spike_generator(23/13).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(23/13).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 13,23: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 23/14: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 23/14: 23/14\n",
      "LIFNeuron.spike_generator(23/14).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(23/14).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 14,23: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 23/15: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 23/15: 23/15\n",
      "LIFNeuron.spike_generator(23/15).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(23/15).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 15,23: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 23/16: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 23/16: 23/16\n",
      "LIFNeuron.spike_generator(23/16).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(23/16).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 16,23: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 23/17: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 23/17: 23/17\n",
      "LIFNeuron.spike_generator(23/17).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(23/17).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 17,23: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 23/18: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 23/18: 23/18\n",
      "LIFNeuron.spike_generator(23/18).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(23/18).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 18,23: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 23/19: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 23/19: 23/19\n",
      "LIFNeuron.spike_generator(23/19).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(23/19).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 19,23: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 23/20: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 23/20: 23/20\n",
      "LIFNeuron.spike_generator(23/20).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(23/20).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 20,23: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 23/21: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 23/21: 23/21\n",
      "LIFNeuron.spike_generator(23/21).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(23/21).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 21,23: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 23/22: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 23/22: 23/22\n",
      "LIFNeuron.spike_generator(23/22).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(23/22).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 22,23: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 23/23: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 23/23: 23/23\n",
      "LIFNeuron.spike_generator(23/23).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(23/23).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 23,23: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 23/24: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 23/24: 23/24\n",
      "LIFNeuron.spike_generator(23/24).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(23/24).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 24,23: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 23/25: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 23/25: 23/25\n",
      "LIFNeuron.spike_generator(23/25).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(23/25).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 25,23: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 23/26: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 23/26: 23/26\n",
      "LIFNeuron.spike_generator(23/26).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(23/26).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 26,23: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 23/27: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 23/27: 23/27\n",
      "LIFNeuron.spike_generator(23/27).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(23/27).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 27,23: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 24/0: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 24/0: 24/0\n",
      "LIFNeuron.spike_generator(24/0).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(24/0).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 0,24: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 24/1: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 24/1: 24/1\n",
      "LIFNeuron.spike_generator(24/1).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(24/1).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 1,24: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 24/2: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 24/2: 24/2\n",
      "LIFNeuron.spike_generator(24/2).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(24/2).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 2,24: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 24/3: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 24/3: 24/3\n",
      "LIFNeuron.spike_generator(24/3).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(24/3).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 3,24: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 24/4: [ 0.53333333  0.53333333  0.53333333 ...,  0.53333333  0.53333333\n",
      "  0.53333333]\n",
      "Processing spike generator for neuron 24/4: 24/4\n",
      "LIFNeuron.spike_generator(24/4).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(24/4).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 4,24: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 24/5: [ 0.99215686  0.99215686  0.99215686 ...,  0.99215686  0.99215686\n",
      "  0.99215686]\n",
      "Processing spike generator for neuron 24/5: 24/5\n",
      "LIFNeuron.spike_generator(24/5).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "*** LIFNeuron.spike_generator(24/5).spike=(self.t_rest=18.125, self.t=14.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(24/5).spike=(self.t_rest=36.25, self.t=32.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(24/5).spike=(self.t_rest=54.375, self.t=50.375, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(24/5).spike=(self.t_rest=72.5, self.t=68.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(24/5).spike=(self.t_rest=90.625, self.t=86.625, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(24/5).spike=(self.t_rest=108.75, self.t=104.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(24/5).spike=(self.t_rest=126.875, self.t=122.875, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(24/5).spike=(self.t_rest=145.0, self.t=141.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(24/5).spike=(self.t_rest=163.125, self.t=159.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(24/5).spike=(self.t_rest=181.25, self.t=177.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(24/5).spike=(self.t_rest=199.375, self.t=195.375, self.tau_ref=4)\n",
      "LIFNeuron.spike_generator(24/5).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 5,24: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 24/6: [ 0.99215686  0.99215686  0.99215686 ...,  0.99215686  0.99215686\n",
      "  0.99215686]\n",
      "Processing spike generator for neuron 24/6: 24/6\n",
      "LIFNeuron.spike_generator(24/6).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "*** LIFNeuron.spike_generator(24/6).spike=(self.t_rest=18.125, self.t=14.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(24/6).spike=(self.t_rest=36.25, self.t=32.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(24/6).spike=(self.t_rest=54.375, self.t=50.375, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(24/6).spike=(self.t_rest=72.5, self.t=68.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(24/6).spike=(self.t_rest=90.625, self.t=86.625, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(24/6).spike=(self.t_rest=108.75, self.t=104.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(24/6).spike=(self.t_rest=126.875, self.t=122.875, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(24/6).spike=(self.t_rest=145.0, self.t=141.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(24/6).spike=(self.t_rest=163.125, self.t=159.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(24/6).spike=(self.t_rest=181.25, self.t=177.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(24/6).spike=(self.t_rest=199.375, self.t=195.375, self.tau_ref=4)\n",
      "LIFNeuron.spike_generator(24/6).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 6,24: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 24/7: [ 0.99215686  0.99215686  0.99215686 ...,  0.99215686  0.99215686\n",
      "  0.99215686]\n",
      "Processing spike generator for neuron 24/7: 24/7\n",
      "LIFNeuron.spike_generator(24/7).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "*** LIFNeuron.spike_generator(24/7).spike=(self.t_rest=18.125, self.t=14.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(24/7).spike=(self.t_rest=36.25, self.t=32.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(24/7).spike=(self.t_rest=54.375, self.t=50.375, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(24/7).spike=(self.t_rest=72.5, self.t=68.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(24/7).spike=(self.t_rest=90.625, self.t=86.625, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(24/7).spike=(self.t_rest=108.75, self.t=104.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(24/7).spike=(self.t_rest=126.875, self.t=122.875, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(24/7).spike=(self.t_rest=145.0, self.t=141.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(24/7).spike=(self.t_rest=163.125, self.t=159.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(24/7).spike=(self.t_rest=181.25, self.t=177.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(24/7).spike=(self.t_rest=199.375, self.t=195.375, self.tau_ref=4)\n",
      "LIFNeuron.spike_generator(24/7).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 7,24: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 24/8: [ 0.83137255  0.83137255  0.83137255 ...,  0.83137255  0.83137255\n",
      "  0.83137255]\n",
      "Processing spike generator for neuron 24/8: 24/8\n",
      "LIFNeuron.spike_generator(24/8).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "*** LIFNeuron.spike_generator(24/8).spike=(self.t_rest=27.125, self.t=23.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(24/8).spike=(self.t_rest=54.25, self.t=50.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(24/8).spike=(self.t_rest=81.375, self.t=77.375, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(24/8).spike=(self.t_rest=108.5, self.t=104.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(24/8).spike=(self.t_rest=135.625, self.t=131.625, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(24/8).spike=(self.t_rest=162.75, self.t=158.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(24/8).spike=(self.t_rest=189.875, self.t=185.875, self.tau_ref=4)\n",
      "LIFNeuron.spike_generator(24/8).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 8,24: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 24/9: [ 0.52941176  0.52941176  0.52941176 ...,  0.52941176  0.52941176\n",
      "  0.52941176]\n",
      "Processing spike generator for neuron 24/9: 24/9\n",
      "LIFNeuron.spike_generator(24/9).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(24/9).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 9,24: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 24/10: [ 0.51764706  0.51764706  0.51764706 ...,  0.51764706  0.51764706\n",
      "  0.51764706]\n",
      "Processing spike generator for neuron 24/10: 24/10\n",
      "LIFNeuron.spike_generator(24/10).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(24/10).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 10,24: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 24/11: [ 0.0627451  0.0627451  0.0627451 ...,  0.0627451  0.0627451  0.0627451]\n",
      "Processing spike generator for neuron 24/11: 24/11\n",
      "LIFNeuron.spike_generator(24/11).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(24/11).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 11,24: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 24/12: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 24/12: 24/12\n",
      "LIFNeuron.spike_generator(24/12).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(24/12).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 12,24: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 24/13: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 24/13: 24/13\n",
      "LIFNeuron.spike_generator(24/13).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(24/13).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 13,24: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 24/14: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 24/14: 24/14\n",
      "LIFNeuron.spike_generator(24/14).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(24/14).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 14,24: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 24/15: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 24/15: 24/15\n",
      "LIFNeuron.spike_generator(24/15).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(24/15).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 15,24: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 24/16: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 24/16: 24/16\n",
      "LIFNeuron.spike_generator(24/16).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(24/16).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 16,24: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 24/17: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 24/17: 24/17\n",
      "LIFNeuron.spike_generator(24/17).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(24/17).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 17,24: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 24/18: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 24/18: 24/18\n",
      "LIFNeuron.spike_generator(24/18).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(24/18).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 18,24: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 24/19: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 24/19: 24/19\n",
      "LIFNeuron.spike_generator(24/19).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(24/19).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 19,24: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 24/20: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 24/20: 24/20\n",
      "LIFNeuron.spike_generator(24/20).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(24/20).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 20,24: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 24/21: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 24/21: 24/21\n",
      "LIFNeuron.spike_generator(24/21).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(24/21).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 21,24: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 24/22: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 24/22: 24/22\n",
      "LIFNeuron.spike_generator(24/22).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(24/22).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 22,24: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 24/23: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 24/23: 24/23\n",
      "LIFNeuron.spike_generator(24/23).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(24/23).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 23,24: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 24/24: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 24/24: 24/24\n",
      "LIFNeuron.spike_generator(24/24).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(24/24).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 24,24: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 24/25: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 24/25: 24/25\n",
      "LIFNeuron.spike_generator(24/25).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(24/25).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 25,24: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 24/26: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 24/26: 24/26\n",
      "LIFNeuron.spike_generator(24/26).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(24/26).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 26,24: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 24/27: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 24/27: 24/27\n",
      "LIFNeuron.spike_generator(24/27).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(24/27).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 27,24: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 25/0: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 25/0: 25/0\n",
      "LIFNeuron.spike_generator(25/0).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(25/0).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 0,25: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 25/1: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 25/1: 25/1\n",
      "LIFNeuron.spike_generator(25/1).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(25/1).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 1,25: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 25/2: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 25/2: 25/2\n",
      "LIFNeuron.spike_generator(25/2).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(25/2).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 2,25: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 25/3: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 25/3: 25/3\n",
      "LIFNeuron.spike_generator(25/3).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(25/3).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 3,25: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 25/4: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 25/4: 25/4\n",
      "LIFNeuron.spike_generator(25/4).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(25/4).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 4,25: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 25/5: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 25/5: 25/5\n",
      "LIFNeuron.spike_generator(25/5).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(25/5).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 5,25: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 25/6: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 25/6: 25/6\n",
      "LIFNeuron.spike_generator(25/6).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(25/6).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 6,25: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 25/7: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 25/7: 25/7\n",
      "LIFNeuron.spike_generator(25/7).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(25/7).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 7,25: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 25/8: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 25/8: 25/8\n",
      "LIFNeuron.spike_generator(25/8).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(25/8).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 8,25: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 25/9: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 25/9: 25/9\n",
      "LIFNeuron.spike_generator(25/9).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(25/9).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 9,25: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 25/10: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 25/10: 25/10\n",
      "LIFNeuron.spike_generator(25/10).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(25/10).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 10,25: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 25/11: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 25/11: 25/11\n",
      "LIFNeuron.spike_generator(25/11).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(25/11).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 11,25: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 25/12: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 25/12: 25/12\n",
      "LIFNeuron.spike_generator(25/12).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(25/12).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 12,25: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 25/13: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 25/13: 25/13\n",
      "LIFNeuron.spike_generator(25/13).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(25/13).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 13,25: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 25/14: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 25/14: 25/14\n",
      "LIFNeuron.spike_generator(25/14).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(25/14).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 14,25: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 25/15: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 25/15: 25/15\n",
      "LIFNeuron.spike_generator(25/15).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(25/15).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 15,25: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 25/16: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 25/16: 25/16\n",
      "LIFNeuron.spike_generator(25/16).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(25/16).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 16,25: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 25/17: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 25/17: 25/17\n",
      "LIFNeuron.spike_generator(25/17).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(25/17).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 17,25: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 25/18: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 25/18: 25/18\n",
      "LIFNeuron.spike_generator(25/18).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(25/18).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 18,25: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 25/19: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 25/19: 25/19\n",
      "LIFNeuron.spike_generator(25/19).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(25/19).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 19,25: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 25/20: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 25/20: 25/20\n",
      "LIFNeuron.spike_generator(25/20).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(25/20).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 20,25: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 25/21: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 25/21: 25/21\n",
      "LIFNeuron.spike_generator(25/21).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(25/21).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 21,25: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 25/22: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 25/22: 25/22\n",
      "LIFNeuron.spike_generator(25/22).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(25/22).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 22,25: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 25/23: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 25/23: 25/23\n",
      "LIFNeuron.spike_generator(25/23).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(25/23).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 23,25: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 25/24: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 25/24: 25/24\n",
      "LIFNeuron.spike_generator(25/24).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(25/24).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 24,25: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 25/25: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 25/25: 25/25\n",
      "LIFNeuron.spike_generator(25/25).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(25/25).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 25,25: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 25/26: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 25/26: 25/26\n",
      "LIFNeuron.spike_generator(25/26).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(25/26).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 26,25: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 25/27: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 25/27: 25/27\n",
      "LIFNeuron.spike_generator(25/27).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(25/27).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 27,25: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 26/0: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 26/0: 26/0\n",
      "LIFNeuron.spike_generator(26/0).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(26/0).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 0,26: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 26/1: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 26/1: 26/1\n",
      "LIFNeuron.spike_generator(26/1).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(26/1).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 1,26: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 26/2: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 26/2: 26/2\n",
      "LIFNeuron.spike_generator(26/2).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(26/2).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 2,26: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 26/3: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 26/3: 26/3\n",
      "LIFNeuron.spike_generator(26/3).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(26/3).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 3,26: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 26/4: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 26/4: 26/4\n",
      "LIFNeuron.spike_generator(26/4).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(26/4).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 4,26: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 26/5: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 26/5: 26/5\n",
      "LIFNeuron.spike_generator(26/5).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(26/5).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 5,26: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 26/6: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 26/6: 26/6\n",
      "LIFNeuron.spike_generator(26/6).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(26/6).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 6,26: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 26/7: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 26/7: 26/7\n",
      "LIFNeuron.spike_generator(26/7).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(26/7).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 7,26: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 26/8: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 26/8: 26/8\n",
      "LIFNeuron.spike_generator(26/8).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(26/8).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 8,26: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 26/9: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 26/9: 26/9\n",
      "LIFNeuron.spike_generator(26/9).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(26/9).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 9,26: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 26/10: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 26/10: 26/10\n",
      "LIFNeuron.spike_generator(26/10).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(26/10).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 10,26: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 26/11: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 26/11: 26/11\n",
      "LIFNeuron.spike_generator(26/11).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(26/11).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 11,26: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 26/12: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 26/12: 26/12\n",
      "LIFNeuron.spike_generator(26/12).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(26/12).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 12,26: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 26/13: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 26/13: 26/13\n",
      "LIFNeuron.spike_generator(26/13).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(26/13).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 13,26: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 26/14: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 26/14: 26/14\n",
      "LIFNeuron.spike_generator(26/14).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(26/14).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 14,26: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 26/15: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 26/15: 26/15\n",
      "LIFNeuron.spike_generator(26/15).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(26/15).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 15,26: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 26/16: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 26/16: 26/16\n",
      "LIFNeuron.spike_generator(26/16).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(26/16).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 16,26: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 26/17: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 26/17: 26/17\n",
      "LIFNeuron.spike_generator(26/17).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(26/17).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 17,26: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 26/18: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 26/18: 26/18\n",
      "LIFNeuron.spike_generator(26/18).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(26/18).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 18,26: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 26/19: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 26/19: 26/19\n",
      "LIFNeuron.spike_generator(26/19).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(26/19).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 19,26: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 26/20: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 26/20: 26/20\n",
      "LIFNeuron.spike_generator(26/20).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(26/20).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 20,26: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 26/21: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 26/21: 26/21\n",
      "LIFNeuron.spike_generator(26/21).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(26/21).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 21,26: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 26/22: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 26/22: 26/22\n",
      "LIFNeuron.spike_generator(26/22).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(26/22).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 22,26: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 26/23: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 26/23: 26/23\n",
      "LIFNeuron.spike_generator(26/23).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(26/23).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 23,26: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 26/24: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 26/24: 26/24\n",
      "LIFNeuron.spike_generator(26/24).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(26/24).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 24,26: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 26/25: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 26/25: 26/25\n",
      "LIFNeuron.spike_generator(26/25).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(26/25).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 25,26: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 26/26: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 26/26: 26/26\n",
      "LIFNeuron.spike_generator(26/26).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(26/26).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 26,26: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 26/27: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 26/27: 26/27\n",
      "LIFNeuron.spike_generator(26/27).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(26/27).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 27,26: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 27/0: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 27/0: 27/0\n",
      "LIFNeuron.spike_generator(27/0).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(27/0).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 0,27: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 27/1: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 27/1: 27/1\n",
      "LIFNeuron.spike_generator(27/1).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(27/1).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 1,27: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 27/2: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 27/2: 27/2\n",
      "LIFNeuron.spike_generator(27/2).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(27/2).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 2,27: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 27/3: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 27/3: 27/3\n",
      "LIFNeuron.spike_generator(27/3).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(27/3).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 3,27: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 27/4: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 27/4: 27/4\n",
      "LIFNeuron.spike_generator(27/4).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(27/4).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 4,27: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 27/5: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 27/5: 27/5\n",
      "LIFNeuron.spike_generator(27/5).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(27/5).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 5,27: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 27/6: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 27/6: 27/6\n",
      "LIFNeuron.spike_generator(27/6).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(27/6).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 6,27: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 27/7: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 27/7: 27/7\n",
      "LIFNeuron.spike_generator(27/7).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(27/7).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 7,27: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 27/8: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 27/8: 27/8\n",
      "LIFNeuron.spike_generator(27/8).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(27/8).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 8,27: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 27/9: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 27/9: 27/9\n",
      "LIFNeuron.spike_generator(27/9).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(27/9).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 9,27: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 27/10: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 27/10: 27/10\n",
      "LIFNeuron.spike_generator(27/10).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(27/10).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 10,27: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 27/11: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 27/11: 27/11\n",
      "LIFNeuron.spike_generator(27/11).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(27/11).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 11,27: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 27/12: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 27/12: 27/12\n",
      "LIFNeuron.spike_generator(27/12).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(27/12).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 12,27: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 27/13: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 27/13: 27/13\n",
      "LIFNeuron.spike_generator(27/13).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(27/13).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 13,27: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 27/14: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 27/14: 27/14\n",
      "LIFNeuron.spike_generator(27/14).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(27/14).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 14,27: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 27/15: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 27/15: 27/15\n",
      "LIFNeuron.spike_generator(27/15).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(27/15).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 15,27: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 27/16: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 27/16: 27/16\n",
      "LIFNeuron.spike_generator(27/16).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(27/16).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 16,27: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 27/17: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 27/17: 27/17\n",
      "LIFNeuron.spike_generator(27/17).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(27/17).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 17,27: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 27/18: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 27/18: 27/18\n",
      "LIFNeuron.spike_generator(27/18).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(27/18).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 18,27: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 27/19: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 27/19: 27/19\n",
      "LIFNeuron.spike_generator(27/19).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(27/19).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 19,27: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 27/20: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 27/20: 27/20\n",
      "LIFNeuron.spike_generator(27/20).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(27/20).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 20,27: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 27/21: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 27/21: 27/21\n",
      "LIFNeuron.spike_generator(27/21).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(27/21).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 21,27: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 27/22: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 27/22: 27/22\n",
      "LIFNeuron.spike_generator(27/22).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(27/22).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 22,27: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 27/23: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 27/23: 27/23\n",
      "LIFNeuron.spike_generator(27/23).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(27/23).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 23,27: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 27/24: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 27/24: 27/24\n",
      "LIFNeuron.spike_generator(27/24).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(27/24).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 24,27: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 27/25: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 27/25: 27/25\n",
      "LIFNeuron.spike_generator(27/25).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(27/25).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 25,27: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 27/26: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 27/26: 27/26\n",
      "LIFNeuron.spike_generator(27/26).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(27/26).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 26,27: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Stimulus from image @ 27/27: [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "Processing spike generator for neuron 27/27: 27/27\n",
      "LIFNeuron.spike_generator(27/27).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(27/27).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "Stats for neuron 27,27: time=1600, stimulus=(1600,), spikes=[ 0.  0.  0. ...,  0.  0.  0.]\n"
     ]
    }
   ],
   "source": [
    "#for y in range(0, len_y, start_y + stride_size, 1):\n",
    "#    for x in range(start_x, start_x + stride_size, 1):\n",
    "for y in range(0, len_y, 1):\n",
    "    for x in range(0, len_x, 1):\n",
    "        stimulus = np.full((time), image_norm[y,x])\n",
    "        print('Stimulus from image @ {}/{}: {}'.format(y, x, stimulus))\n",
    "        print('Processing spike generator for neuron {}/{}: {}'.format(y,x,neurons[y][x].neuron_label))\n",
    "        neurons[y][x].spike_generator(stimulus)\n",
    "        print('Stats for neuron {},{}: time={}, stimulus={}, spikes={}' \\\n",
    "              .format(x,y,time, stimulus.shape, neurons[y][x].spikes)) #.shape))\n",
    "        #graph.plot_membrane_potential(neurons[neuron_x][neuron_y].time, neurons[neuron_x][neuron_y].Vm, 'Membrane Potential {}'.format(neurons[neuron_x][neuron_y].type), neuron_id = \"{}/{}\".format(neuron_x, neuron_y))\n",
    "        #graph.plot_spikes(neurons[neuron_x][neuron_y].time, neurons[neuron_x][neuron_y].spikes, 'Output spikes for {}'.format(neurons[neuron_x][neuron_y].type), neuron_id = \"{}/{}\".format(neuron_x, neuron_y))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Sample a neuron to see how it behaves under stimulus from the image"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1601,)\n",
      "(1601,)\n",
      "(1601,)\n"
     ]
    }
   ],
   "source": [
    "ny, nx = 5, 21\n",
    "print(neurons[ny][nx].time.shape)\n",
    "print(neurons[ny][nx].spikes.shape)\n",
    "print(neurons[ny][nx].Vm.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "5/21\n"
     ]
    }
   ],
   "source": [
    "print(neurons[ny][nx].neuron_label)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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e0tTt9s/G5uqj3uHqo2pN7nYAAJJ2JiWFHUeZPwOYAbDppptWGJmZ2WAp805h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\nYGZmDU4KZmbW4KRgZmYN/w+MUk06uR3OvAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11c2f5470>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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rmyWt3RtXsW6ehpsKrdGFxywN2+ux0fyCtNKgV28oj43lO4yZ/949asgfj47M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\nNIWIiKilKURERC1NISIiaj8BlMYaE7nPsFEAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11bd443c8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "graph.plot_spikes(neurons[ny][nx].time, neurons[ny][nx].spikes, \n",
    "            'Output Spikes for {}'.format(neurons[ny][nx].type), neuron_id = '{}/{}'.format(ny, nx))\n",
    "graph.plot_membrane_potential(neurons[ny][nx].time, neurons[ny][nx].Vm, \n",
    "            'Membrane Potential {}'.format(neurons[ny][nx].type), neuron_id = '{}/{}'.format(ny, nx))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## L2: Sum spikes into a neuron in the next layer"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Create neurons in layer 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Creating layer 2 neurons: 7 by 7\n"
     ]
    }
   ],
   "source": [
    "l2_neurons_x = int(len_x / stride[0])\n",
    "l2_neurons_y = int(len_y / stride[0])\n",
    "print ('Creating layer 2 neurons: {} by {}'.format(l2_neurons_y, l2_neurons_x))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "LIFNeuron(L2:0/0): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(L2:0/1): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(L2:0/2): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(L2:0/3): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(L2:0/4): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(L2:0/5): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(L2:0/6): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(L2:1/0): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(L2:1/1): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(L2:1/2): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(L2:1/3): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(L2:1/4): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(L2:1/5): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(L2:1/6): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(L2:2/0): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(L2:2/1): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(L2:2/2): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(L2:2/3): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(L2:2/4): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(L2:2/5): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(L2:2/6): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(L2:3/0): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(L2:3/1): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(L2:3/2): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(L2:3/3): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(L2:3/4): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(L2:3/5): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(L2:3/6): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(L2:4/0): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(L2:4/1): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(L2:4/2): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(L2:4/3): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(L2:4/4): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(L2:4/5): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(L2:4/6): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(L2:5/0): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(L2:5/1): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(L2:5/2): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(L2:5/3): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(L2:5/4): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(L2:5/5): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(L2:5/6): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(L2:6/0): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(L2:6/1): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(L2:6/2): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(L2:6/3): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(L2:6/4): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(L2:6/5): Created Leaky Integrate and Fire neuron starting at time 0\n",
      "LIFNeuron(L2:6/6): Created Leaky Integrate and Fire neuron starting at time 0\n"
     ]
    }
   ],
   "source": [
    "l2_neurons = []\n",
    "\n",
    "for y in range(l2_neurons_y):\n",
    "    l2_neuron_row = []\n",
    "    for x in range(l2_neurons_x):\n",
    "        l2_neuron_row.append(LIF.LIFNeuron(neuron_label=\"L2:{}/{}\".format(y,x), debug=debug))\n",
    "    l2_neurons.append(l2_neuron_row)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now process by retinal unit (x:x+stride, y:y+stride) and propogate spikes into the 2nd layer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "l2_neuron_stimulus = np.zeros((l2_neurons_y, l2_neurons_x, time))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Generating stimulus for L2 neurons 0/0\n",
      "Adding stimulus for l2 neuron 0,0, duration=1600\n",
      "\n",
      "Generating stimulus for L2 neurons 0/1\n",
      "Adding stimulus for l2 neuron 0,1, duration=1600\n",
      "\n",
      "Generating stimulus for L2 neurons 0/2\n",
      "Adding stimulus for l2 neuron 0,2, duration=1600\n",
      "\n",
      "Generating stimulus for L2 neurons 0/3\n",
      "Adding stimulus for l2 neuron 0,3, duration=1600\n",
      "\n",
      "Generating stimulus for L2 neurons 0/4\n",
      "Adding stimulus for l2 neuron 0,4, duration=1600\n",
      "\n",
      "Generating stimulus for L2 neurons 0/5\n",
      "Adding stimulus for l2 neuron 0,5, duration=1600\n",
      "\n",
      "Generating stimulus for L2 neurons 0/6\n",
      "Adding stimulus for l2 neuron 0,6, duration=1600\n",
      "\n",
      "Generating stimulus for L2 neurons 1/0\n",
      "Adding stimulus for l2 neuron 1,0, duration=1600\n",
      "\n",
      "Generating stimulus for L2 neurons 1/1\n",
      "Adding stimulus for l2 neuron 1,1, duration=1600\n",
      "\n",
      "Generating stimulus for L2 neurons 1/2\n",
      "Adding stimulus for l2 neuron 1,2, duration=1600\n",
      "\n",
      "Generating stimulus for L2 neurons 1/3\n",
      "Adding stimulus for l2 neuron 1,3, duration=1600\n",
      "\n",
      "Generating stimulus for L2 neurons 1/4\n",
      "Adding stimulus for l2 neuron 1,4, duration=1600\n",
      "\n",
      "Generating stimulus for L2 neurons 1/5\n",
      "Adding stimulus for l2 neuron 1,5, duration=1600\n",
      "\n",
      "Generating stimulus for L2 neurons 1/6\n",
      "Adding stimulus for l2 neuron 1,6, duration=1600\n",
      "\n",
      "Generating stimulus for L2 neurons 2/0\n",
      "Adding stimulus for l2 neuron 2,0, duration=1600\n",
      "\n",
      "Generating stimulus for L2 neurons 2/1\n",
      "Adding stimulus for l2 neuron 2,1, duration=1600\n",
      "\n",
      "Generating stimulus for L2 neurons 2/2\n",
      "Adding stimulus for l2 neuron 2,2, duration=1600\n",
      "\n",
      "Generating stimulus for L2 neurons 2/3\n",
      "Adding stimulus for l2 neuron 2,3, duration=1600\n",
      "\n",
      "Generating stimulus for L2 neurons 2/4\n",
      "Adding stimulus for l2 neuron 2,4, duration=1600\n",
      "\n",
      "Generating stimulus for L2 neurons 2/5\n",
      "Adding stimulus for l2 neuron 2,5, duration=1600\n",
      "\n",
      "Generating stimulus for L2 neurons 2/6\n",
      "Adding stimulus for l2 neuron 2,6, duration=1600\n",
      "\n",
      "Generating stimulus for L2 neurons 3/0\n",
      "Adding stimulus for l2 neuron 3,0, duration=1600\n",
      "\n",
      "Generating stimulus for L2 neurons 3/1\n",
      "Adding stimulus for l2 neuron 3,1, duration=1600\n",
      "\n",
      "Generating stimulus for L2 neurons 3/2\n",
      "Adding stimulus for l2 neuron 3,2, duration=1600\n",
      "\n",
      "Generating stimulus for L2 neurons 3/3\n",
      "Adding stimulus for l2 neuron 3,3, duration=1600\n",
      "\n",
      "Generating stimulus for L2 neurons 3/4\n",
      "Adding stimulus for l2 neuron 3,4, duration=1600\n",
      "\n",
      "Generating stimulus for L2 neurons 3/5\n",
      "Adding stimulus for l2 neuron 3,5, duration=1600\n",
      "\n",
      "Generating stimulus for L2 neurons 3/6\n",
      "Adding stimulus for l2 neuron 3,6, duration=1600\n",
      "\n",
      "Generating stimulus for L2 neurons 4/0\n",
      "Adding stimulus for l2 neuron 4,0, duration=1600\n",
      "\n",
      "Generating stimulus for L2 neurons 4/1\n",
      "Adding stimulus for l2 neuron 4,1, duration=1600\n",
      "\n",
      "Generating stimulus for L2 neurons 4/2\n",
      "Adding stimulus for l2 neuron 4,2, duration=1600\n",
      "\n",
      "Generating stimulus for L2 neurons 4/3\n",
      "Adding stimulus for l2 neuron 4,3, duration=1600\n",
      "\n",
      "Generating stimulus for L2 neurons 4/4\n",
      "Adding stimulus for l2 neuron 4,4, duration=1600\n",
      "\n",
      "Generating stimulus for L2 neurons 4/5\n",
      "Adding stimulus for l2 neuron 4,5, duration=1600\n",
      "\n",
      "Generating stimulus for L2 neurons 4/6\n",
      "Adding stimulus for l2 neuron 4,6, duration=1600\n",
      "\n",
      "Generating stimulus for L2 neurons 5/0\n",
      "Adding stimulus for l2 neuron 5,0, duration=1600\n",
      "\n",
      "Generating stimulus for L2 neurons 5/1\n",
      "Adding stimulus for l2 neuron 5,1, duration=1600\n",
      "\n",
      "Generating stimulus for L2 neurons 5/2\n",
      "Adding stimulus for l2 neuron 5,2, duration=1600\n",
      "\n",
      "Generating stimulus for L2 neurons 5/3\n",
      "Adding stimulus for l2 neuron 5,3, duration=1600\n",
      "\n",
      "Generating stimulus for L2 neurons 5/4\n",
      "Adding stimulus for l2 neuron 5,4, duration=1600\n",
      "\n",
      "Generating stimulus for L2 neurons 5/5\n",
      "Adding stimulus for l2 neuron 5,5, duration=1600\n",
      "\n",
      "Generating stimulus for L2 neurons 5/6\n",
      "Adding stimulus for l2 neuron 5,6, duration=1600\n",
      "\n",
      "Generating stimulus for L2 neurons 6/0\n",
      "Adding stimulus for l2 neuron 6,0, duration=1600\n",
      "\n",
      "Generating stimulus for L2 neurons 6/1\n",
      "Adding stimulus for l2 neuron 6,1, duration=1600\n",
      "\n",
      "Generating stimulus for L2 neurons 6/2\n",
      "Adding stimulus for l2 neuron 6,2, duration=1600\n",
      "\n",
      "Generating stimulus for L2 neurons 6/3\n",
      "Adding stimulus for l2 neuron 6,3, duration=1600\n",
      "\n",
      "Generating stimulus for L2 neurons 6/4\n",
      "Adding stimulus for l2 neuron 6,4, duration=1600\n",
      "\n",
      "Generating stimulus for L2 neurons 6/5\n",
      "Adding stimulus for l2 neuron 6,5, duration=1600\n",
      "\n",
      "Generating stimulus for L2 neurons 6/6\n",
      "Adding stimulus for l2 neuron 6,6, duration=1600\n",
      "\n"
     ]
    }
   ],
   "source": [
    "mult_factor = 49           # Number of neurons for each pixel (this is a hack to reduce processing earlier,... \n",
    "                          # raise to 49 perhaps later!)\n",
    "l2x, l2y = 0,0\n",
    "for ry in range (0, len_y, stride[0]):\n",
    "    l2x = 0\n",
    "    for rx in range(0, len_x, stride[0]):\n",
    "        #x_end = rx + stride[0]\n",
    "        #y_end = ry + stride[0]       \n",
    "        stimulus_ret_unit = np.zeros(time)\n",
    "        print('Generating stimulus for L2 neurons {}/{}'.format(l2y, l2x))\n",
    "        for ny in range(stride[0]):\n",
    "            for nx in range(stride[0]):\n",
    "                x = rx + nx\n",
    "                y = ry + ny\n",
    "                #print ('Processing stimulus for L1 neuron at {},{}'.format(y,x))\n",
    "                #print ('Adding stimulus {}'.format(neurons[y][x].spikes[:time]))\n",
    "                stimulus_ret_unit += neurons[y][x].spikes[:time] * mult_factor\n",
    "        print ('Adding stimulus for l2 neuron {},{}, duration={}\\n'.format(l2y, l2x, len(stimulus_ret_unit)))\n",
    "        l2_neuron_stimulus[l2y,l2x,:] = stimulus_ret_unit\n",
    "        l2x += 1\n",
    "    l2y += 1\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "metadata": {},
   "outputs": [],
   "source": [
    "# print(l2_neuron_stimulus)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Run spikes through L2 Neurons"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Processing L2 Neuron 0,0 with stimulus length [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "LIFNeuron.spike_generator(L2:0/0).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(L2:0/0).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "\n",
      "Processing L2 Neuron 0,1 with stimulus length [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "LIFNeuron.spike_generator(L2:0/1).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(L2:0/1).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "\n",
      "Processing L2 Neuron 0,2 with stimulus length [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "LIFNeuron.spike_generator(L2:0/2).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(L2:0/2).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "\n",
      "Processing L2 Neuron 0,3 with stimulus length [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "LIFNeuron.spike_generator(L2:0/3).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(L2:0/3).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "\n",
      "Processing L2 Neuron 0,4 with stimulus length [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "LIFNeuron.spike_generator(L2:0/4).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(L2:0/4).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "\n",
      "Processing L2 Neuron 0,5 with stimulus length [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "LIFNeuron.spike_generator(L2:0/5).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(L2:0/5).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "\n",
      "Processing L2 Neuron 0,6 with stimulus length [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "LIFNeuron.spike_generator(L2:0/6).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(L2:0/6).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "\n",
      "Processing L2 Neuron 1,0 with stimulus length [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "LIFNeuron.spike_generator(L2:1/0).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(L2:1/0).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "\n",
      "Processing L2 Neuron 1,1 with stimulus length [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "LIFNeuron.spike_generator(L2:1/1).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(L2:1/1).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "\n",
      "Processing L2 Neuron 1,2 with stimulus length [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "LIFNeuron.spike_generator(L2:1/2).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "*** LIFNeuron.spike_generator(L2:1/2).spike=(self.t_rest=18.375, self.t=14.375, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:1/2).spike=(self.t_rest=36.5, self.t=32.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:1/2).spike=(self.t_rest=54.625, self.t=50.625, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:1/2).spike=(self.t_rest=72.75, self.t=68.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:1/2).spike=(self.t_rest=90.875, self.t=86.875, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:1/2).spike=(self.t_rest=109.0, self.t=105.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:1/2).spike=(self.t_rest=127.125, self.t=123.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:1/2).spike=(self.t_rest=145.25, self.t=141.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:1/2).spike=(self.t_rest=163.375, self.t=159.375, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:1/2).spike=(self.t_rest=181.5, self.t=177.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:1/2).spike=(self.t_rest=199.625, self.t=195.625, self.tau_ref=4)\n",
      "LIFNeuron.spike_generator(L2:1/2).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "\n",
      "Processing L2 Neuron 1,3 with stimulus length [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "LIFNeuron.spike_generator(L2:1/3).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "*** LIFNeuron.spike_generator(L2:1/3).spike=(self.t_rest=18.375, self.t=14.375, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:1/3).spike=(self.t_rest=36.5, self.t=32.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:1/3).spike=(self.t_rest=54.625, self.t=50.625, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:1/3).spike=(self.t_rest=72.75, self.t=68.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:1/3).spike=(self.t_rest=90.875, self.t=86.875, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:1/3).spike=(self.t_rest=109.0, self.t=105.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:1/3).spike=(self.t_rest=127.125, self.t=123.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:1/3).spike=(self.t_rest=145.25, self.t=141.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:1/3).spike=(self.t_rest=163.375, self.t=159.375, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:1/3).spike=(self.t_rest=181.5, self.t=177.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:1/3).spike=(self.t_rest=199.625, self.t=195.625, self.tau_ref=4)\n",
      "LIFNeuron.spike_generator(L2:1/3).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "\n",
      "Processing L2 Neuron 1,4 with stimulus length [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "LIFNeuron.spike_generator(L2:1/4).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "*** LIFNeuron.spike_generator(L2:1/4).spike=(self.t_rest=18.375, self.t=14.375, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:1/4).spike=(self.t_rest=36.5, self.t=32.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:1/4).spike=(self.t_rest=54.625, self.t=50.625, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:1/4).spike=(self.t_rest=72.75, self.t=68.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:1/4).spike=(self.t_rest=90.875, self.t=86.875, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:1/4).spike=(self.t_rest=109.0, self.t=105.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:1/4).spike=(self.t_rest=127.125, self.t=123.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:1/4).spike=(self.t_rest=145.25, self.t=141.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:1/4).spike=(self.t_rest=163.375, self.t=159.375, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:1/4).spike=(self.t_rest=181.5, self.t=177.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:1/4).spike=(self.t_rest=199.625, self.t=195.625, self.tau_ref=4)\n",
      "LIFNeuron.spike_generator(L2:1/4).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "\n",
      "Processing L2 Neuron 1,5 with stimulus length [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "LIFNeuron.spike_generator(L2:1/5).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "*** LIFNeuron.spike_generator(L2:1/5).spike=(self.t_rest=18.375, self.t=14.375, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:1/5).spike=(self.t_rest=36.5, self.t=32.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:1/5).spike=(self.t_rest=53.875, self.t=49.875, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:1/5).spike=(self.t_rest=71.75, self.t=67.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:1/5).spike=(self.t_rest=87.0, self.t=83.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:1/5).spike=(self.t_rest=98.375, self.t=94.375, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:1/5).spike=(self.t_rest=109.0, self.t=105.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:1/5).spike=(self.t_rest=118.0, self.t=114.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:1/5).spike=(self.t_rest=127.125, self.t=123.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:1/5).spike=(self.t_rest=137.625, self.t=133.625, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:1/5).spike=(self.t_rest=145.25, self.t=141.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:1/5).spike=(self.t_rest=157.25, self.t=153.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:1/5).spike=(self.t_rest=170.125, self.t=166.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:1/5).spike=(self.t_rest=179.0, self.t=175.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:1/5).spike=(self.t_rest=196.5, self.t=192.5, self.tau_ref=4)\n",
      "LIFNeuron.spike_generator(L2:1/5).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "\n",
      "Processing L2 Neuron 1,6 with stimulus length [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "LIFNeuron.spike_generator(L2:1/6).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(L2:1/6).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "\n",
      "Processing L2 Neuron 2,0 with stimulus length [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "LIFNeuron.spike_generator(L2:2/0).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(L2:2/0).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "\n",
      "Processing L2 Neuron 2,1 with stimulus length [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "LIFNeuron.spike_generator(L2:2/1).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(L2:2/1).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "\n",
      "Processing L2 Neuron 2,2 with stimulus length [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "LIFNeuron.spike_generator(L2:2/2).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "*** LIFNeuron.spike_generator(L2:2/2).spike=(self.t_rest=18.375, self.t=14.375, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:2/2).spike=(self.t_rest=36.5, self.t=32.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:2/2).spike=(self.t_rest=54.625, self.t=50.625, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:2/2).spike=(self.t_rest=72.75, self.t=68.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:2/2).spike=(self.t_rest=90.875, self.t=86.875, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:2/2).spike=(self.t_rest=109.0, self.t=105.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:2/2).spike=(self.t_rest=127.125, self.t=123.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:2/2).spike=(self.t_rest=145.25, self.t=141.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:2/2).spike=(self.t_rest=163.375, self.t=159.375, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:2/2).spike=(self.t_rest=181.5, self.t=177.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:2/2).spike=(self.t_rest=199.625, self.t=195.625, self.tau_ref=4)\n",
      "LIFNeuron.spike_generator(L2:2/2).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "\n",
      "Processing L2 Neuron 2,3 with stimulus length [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "LIFNeuron.spike_generator(L2:2/3).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "*** LIFNeuron.spike_generator(L2:2/3).spike=(self.t_rest=18.375, self.t=14.375, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:2/3).spike=(self.t_rest=36.5, self.t=32.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:2/3).spike=(self.t_rest=54.625, self.t=50.625, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:2/3).spike=(self.t_rest=72.75, self.t=68.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:2/3).spike=(self.t_rest=90.875, self.t=86.875, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:2/3).spike=(self.t_rest=109.0, self.t=105.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:2/3).spike=(self.t_rest=123.75, self.t=119.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:2/3).spike=(self.t_rest=145.25, self.t=141.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:2/3).spike=(self.t_rest=154.625, self.t=150.625, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:2/3).spike=(self.t_rest=163.375, self.t=159.375, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:2/3).spike=(self.t_rest=181.5, self.t=177.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:2/3).spike=(self.t_rest=199.625, self.t=195.625, self.tau_ref=4)\n",
      "LIFNeuron.spike_generator(L2:2/3).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "\n",
      "Processing L2 Neuron 2,4 with stimulus length [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "LIFNeuron.spike_generator(L2:2/4).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "*** LIFNeuron.spike_generator(L2:2/4).spike=(self.t_rest=20.0, self.t=16.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:2/4).spike=(self.t_rest=39.75, self.t=35.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:2/4).spike=(self.t_rest=59.5, self.t=55.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:2/4).spike=(self.t_rest=79.25, self.t=75.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:2/4).spike=(self.t_rest=99.0, self.t=95.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:2/4).spike=(self.t_rest=118.75, self.t=114.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:2/4).spike=(self.t_rest=138.5, self.t=134.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:2/4).spike=(self.t_rest=158.25, self.t=154.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:2/4).spike=(self.t_rest=178.0, self.t=174.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:2/4).spike=(self.t_rest=197.75, self.t=193.75, self.tau_ref=4)\n",
      "LIFNeuron.spike_generator(L2:2/4).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "\n",
      "Processing L2 Neuron 2,5 with stimulus length [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "LIFNeuron.spike_generator(L2:2/5).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(L2:2/5).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "\n",
      "Processing L2 Neuron 2,6 with stimulus length [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "LIFNeuron.spike_generator(L2:2/6).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(L2:2/6).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "\n",
      "Processing L2 Neuron 3,0 with stimulus length [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "LIFNeuron.spike_generator(L2:3/0).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(L2:3/0).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "\n",
      "Processing L2 Neuron 3,1 with stimulus length [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "LIFNeuron.spike_generator(L2:3/1).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(L2:3/1).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "\n",
      "Processing L2 Neuron 3,2 with stimulus length [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "LIFNeuron.spike_generator(L2:3/2).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(L2:3/2).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "\n",
      "Processing L2 Neuron 3,3 with stimulus length [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "LIFNeuron.spike_generator(L2:3/3).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "*** LIFNeuron.spike_generator(L2:3/3).spike=(self.t_rest=18.375, self.t=14.375, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:3/3).spike=(self.t_rest=36.5, self.t=32.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:3/3).spike=(self.t_rest=54.625, self.t=50.625, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:3/3).spike=(self.t_rest=59.875, self.t=55.875, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:3/3).spike=(self.t_rest=72.75, self.t=68.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:3/3).spike=(self.t_rest=79.75, self.t=75.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:3/3).spike=(self.t_rest=90.875, self.t=86.875, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:3/3).spike=(self.t_rest=99.625, self.t=95.625, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:3/3).spike=(self.t_rest=109.0, self.t=105.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:3/3).spike=(self.t_rest=118.75, self.t=114.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:3/3).spike=(self.t_rest=127.125, self.t=123.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:3/3).spike=(self.t_rest=138.5, self.t=134.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:3/3).spike=(self.t_rest=145.25, self.t=141.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:3/3).spike=(self.t_rest=159.25, self.t=155.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:3/3).spike=(self.t_rest=163.375, self.t=159.375, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:3/3).spike=(self.t_rest=179.125, self.t=175.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:3/3).spike=(self.t_rest=197.75, self.t=193.75, self.tau_ref=4)\n",
      "LIFNeuron.spike_generator(L2:3/3).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "\n",
      "Processing L2 Neuron 3,4 with stimulus length [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "LIFNeuron.spike_generator(L2:3/4).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "*** LIFNeuron.spike_generator(L2:3/4).spike=(self.t_rest=18.375, self.t=14.375, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:3/4).spike=(self.t_rest=36.5, self.t=32.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:3/4).spike=(self.t_rest=54.625, self.t=50.625, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:3/4).spike=(self.t_rest=72.75, self.t=68.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:3/4).spike=(self.t_rest=90.875, self.t=86.875, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:3/4).spike=(self.t_rest=109.0, self.t=105.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:3/4).spike=(self.t_rest=127.125, self.t=123.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:3/4).spike=(self.t_rest=145.25, self.t=141.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:3/4).spike=(self.t_rest=163.375, self.t=159.375, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:3/4).spike=(self.t_rest=181.5, self.t=177.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:3/4).spike=(self.t_rest=199.625, self.t=195.625, self.tau_ref=4)\n",
      "LIFNeuron.spike_generator(L2:3/4).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "\n",
      "Processing L2 Neuron 3,5 with stimulus length [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "LIFNeuron.spike_generator(L2:3/5).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(L2:3/5).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "\n",
      "Processing L2 Neuron 3,6 with stimulus length [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "LIFNeuron.spike_generator(L2:3/6).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(L2:3/6).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "\n",
      "Processing L2 Neuron 4,0 with stimulus length [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "LIFNeuron.spike_generator(L2:4/0).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(L2:4/0).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "\n",
      "Processing L2 Neuron 4,1 with stimulus length [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "LIFNeuron.spike_generator(L2:4/1).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(L2:4/1).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "\n",
      "Processing L2 Neuron 4,2 with stimulus length [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "LIFNeuron.spike_generator(L2:4/2).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(L2:4/2).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "\n",
      "Processing L2 Neuron 4,3 with stimulus length [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "LIFNeuron.spike_generator(L2:4/3).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "*** LIFNeuron.spike_generator(L2:4/3).spike=(self.t_rest=22.25, self.t=18.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:4/3).spike=(self.t_rest=44.25, self.t=40.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:4/3).spike=(self.t_rest=66.25, self.t=62.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:4/3).spike=(self.t_rest=90.875, self.t=86.875, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:4/3).spike=(self.t_rest=110.25, self.t=106.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:4/3).spike=(self.t_rest=132.25, self.t=128.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:4/3).spike=(self.t_rest=154.25, self.t=150.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:4/3).spike=(self.t_rest=176.25, self.t=172.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:4/3).spike=(self.t_rest=199.625, self.t=195.625, self.tau_ref=4)\n",
      "LIFNeuron.spike_generator(L2:4/3).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "\n",
      "Processing L2 Neuron 4,4 with stimulus length [  0.   0.   0. ...,  49.   0.   0.]\n",
      "LIFNeuron.spike_generator(L2:4/4).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "*** LIFNeuron.spike_generator(L2:4/4).spike=(self.t_rest=18.375, self.t=14.375, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:4/4).spike=(self.t_rest=36.5, self.t=32.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:4/4).spike=(self.t_rest=54.625, self.t=50.625, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:4/4).spike=(self.t_rest=72.75, self.t=68.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:4/4).spike=(self.t_rest=90.875, self.t=86.875, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:4/4).spike=(self.t_rest=109.0, self.t=105.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:4/4).spike=(self.t_rest=127.125, self.t=123.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:4/4).spike=(self.t_rest=145.25, self.t=141.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:4/4).spike=(self.t_rest=163.375, self.t=159.375, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:4/4).spike=(self.t_rest=167.875, self.t=163.875, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:4/4).spike=(self.t_rest=181.5, self.t=177.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:4/4).spike=(self.t_rest=186.5, self.t=182.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:4/4).spike=(self.t_rest=199.625, self.t=195.625, self.tau_ref=4)\n",
      "LIFNeuron.spike_generator(L2:4/4).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "\n",
      "Processing L2 Neuron 4,5 with stimulus length [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "LIFNeuron.spike_generator(L2:4/5).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(L2:4/5).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "\n",
      "Processing L2 Neuron 4,6 with stimulus length [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "LIFNeuron.spike_generator(L2:4/6).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(L2:4/6).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "\n",
      "Processing L2 Neuron 5,0 with stimulus length [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "LIFNeuron.spike_generator(L2:5/0).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(L2:5/0).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "\n",
      "Processing L2 Neuron 5,1 with stimulus length [  0.   0.   0. ...,   0.  49.   0.]\n",
      "LIFNeuron.spike_generator(L2:5/1).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "*** LIFNeuron.spike_generator(L2:5/1).spike=(self.t_rest=22.875, self.t=18.875, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:5/1).spike=(self.t_rest=45.5, self.t=41.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:5/1).spike=(self.t_rest=68.125, self.t=64.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:5/1).spike=(self.t_rest=90.875, self.t=86.875, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:5/1).spike=(self.t_rest=113.375, self.t=109.375, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:5/1).spike=(self.t_rest=136.0, self.t=132.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:5/1).spike=(self.t_rest=158.625, self.t=154.625, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:5/1).spike=(self.t_rest=181.5, self.t=177.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:5/1).spike=(self.t_rest=203.875, self.t=199.875, self.tau_ref=4)\n",
      "LIFNeuron.spike_generator(L2:5/1).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "\n",
      "Processing L2 Neuron 5,2 with stimulus length [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "LIFNeuron.spike_generator(L2:5/2).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "*** LIFNeuron.spike_generator(L2:5/2).spike=(self.t_rest=18.375, self.t=14.375, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:5/2).spike=(self.t_rest=27.0, self.t=23.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:5/2).spike=(self.t_rest=36.5, self.t=32.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:5/2).spike=(self.t_rest=53.75, self.t=49.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:5/2).spike=(self.t_rest=72.75, self.t=68.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:5/2).spike=(self.t_rest=80.5, self.t=76.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:5/2).spike=(self.t_rest=90.875, self.t=86.875, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:5/2).spike=(self.t_rest=98.75, self.t=94.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:5/2).spike=(self.t_rest=109.0, self.t=105.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:5/2).spike=(self.t_rest=123.375, self.t=119.375, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:5/2).spike=(self.t_rest=135.0, self.t=131.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:5/2).spike=(self.t_rest=145.25, self.t=141.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:5/2).spike=(self.t_rest=160.75, self.t=156.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:5/2).spike=(self.t_rest=173.5, self.t=169.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:5/2).spike=(self.t_rest=181.5, self.t=177.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:5/2).spike=(self.t_rest=192.75, self.t=188.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:5/2).spike=(self.t_rest=199.625, self.t=195.625, self.tau_ref=4)\n",
      "LIFNeuron.spike_generator(L2:5/2).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "\n",
      "Processing L2 Neuron 5,3 with stimulus length [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "LIFNeuron.spike_generator(L2:5/3).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "*** LIFNeuron.spike_generator(L2:5/3).spike=(self.t_rest=18.375, self.t=14.375, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:5/3).spike=(self.t_rest=36.5, self.t=32.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:5/3).spike=(self.t_rest=48.25, self.t=44.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:5/3).spike=(self.t_rest=54.625, self.t=50.625, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:5/3).spike=(self.t_rest=72.75, self.t=68.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:5/3).spike=(self.t_rest=90.875, self.t=86.875, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:5/3).spike=(self.t_rest=109.0, self.t=105.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:5/3).spike=(self.t_rest=120.25, self.t=116.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:5/3).spike=(self.t_rest=127.125, self.t=123.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:5/3).spike=(self.t_rest=145.25, self.t=141.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:5/3).spike=(self.t_rest=163.375, self.t=159.375, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:5/3).spike=(self.t_rest=173.75, self.t=169.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:5/3).spike=(self.t_rest=181.5, self.t=177.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:5/3).spike=(self.t_rest=192.25, self.t=188.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:5/3).spike=(self.t_rest=199.625, self.t=195.625, self.tau_ref=4)\n",
      "LIFNeuron.spike_generator(L2:5/3).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "\n",
      "Processing L2 Neuron 5,4 with stimulus length [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "LIFNeuron.spike_generator(L2:5/4).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "*** LIFNeuron.spike_generator(L2:5/4).spike=(self.t_rest=36.5, self.t=32.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:5/4).spike=(self.t_rest=68.5, self.t=64.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:5/4).spike=(self.t_rest=102.625, self.t=98.625, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:5/4).spike=(self.t_rest=136.75, self.t=132.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:5/4).spike=(self.t_rest=170.875, self.t=166.875, self.tau_ref=4)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "LIFNeuron.spike_generator(L2:5/4).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "\n",
      "Processing L2 Neuron 5,5 with stimulus length [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "LIFNeuron.spike_generator(L2:5/5).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(L2:5/5).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "\n",
      "Processing L2 Neuron 5,6 with stimulus length [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "LIFNeuron.spike_generator(L2:5/6).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(L2:5/6).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "\n",
      "Processing L2 Neuron 6,0 with stimulus length [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "LIFNeuron.spike_generator(L2:6/0).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(L2:6/0).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "\n",
      "Processing L2 Neuron 6,1 with stimulus length [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "LIFNeuron.spike_generator(L2:6/1).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "*** LIFNeuron.spike_generator(L2:6/1).spike=(self.t_rest=18.375, self.t=14.375, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:6/1).spike=(self.t_rest=36.5, self.t=32.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:6/1).spike=(self.t_rest=54.625, self.t=50.625, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:6/1).spike=(self.t_rest=72.75, self.t=68.75, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:6/1).spike=(self.t_rest=90.875, self.t=86.875, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:6/1).spike=(self.t_rest=109.0, self.t=105.0, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:6/1).spike=(self.t_rest=127.125, self.t=123.125, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:6/1).spike=(self.t_rest=145.25, self.t=141.25, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:6/1).spike=(self.t_rest=163.375, self.t=159.375, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:6/1).spike=(self.t_rest=181.5, self.t=177.5, self.tau_ref=4)\n",
      "*** LIFNeuron.spike_generator(L2:6/1).spike=(self.t_rest=199.625, self.t=195.625, self.tau_ref=4)\n",
      "LIFNeuron.spike_generator(L2:6/1).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "\n",
      "Processing L2 Neuron 6,2 with stimulus length [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "LIFNeuron.spike_generator(L2:6/2).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(L2:6/2).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "\n",
      "Processing L2 Neuron 6,3 with stimulus length [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "LIFNeuron.spike_generator(L2:6/3).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(L2:6/3).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "\n",
      "Processing L2 Neuron 6,4 with stimulus length [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "LIFNeuron.spike_generator(L2:6/4).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(L2:6/4).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "\n",
      "Processing L2 Neuron 6,5 with stimulus length [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "LIFNeuron.spike_generator(L2:6/5).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(L2:6/5).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n",
      "\n",
      "Processing L2 Neuron 6,6 with stimulus length [ 0.  0.  0. ...,  0.  0.  0.]\n",
      "LIFNeuron.spike_generator(L2:6/6).initial_state(input=(1600,), duration=1600, initial Vm=0.0, t=0, debug=True)\n",
      "LIFNeuron.spike_generator(L2:6/6).exit_state(Vm=(1601,) at iteration i=1599, time=200.0)\n"
     ]
    }
   ],
   "source": [
    "for y in range(l2_neurons_y):\n",
    "    for x in range(l2_neurons_x):\n",
    "        print('\\nProcessing L2 Neuron {},{} with stimulus length {}'.format(y,x,l2_neuron_stimulus[y][x]))\n",
    "        l2_neurons[y][x].spike_generator(l2_neuron_stimulus[y][x])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Now graph L2 neurons"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Membrane potential"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/markstrefford/anaconda/lib/python3.6/site-packages/matplotlib/figure.py:1743: UserWarning: This figure includes Axes that are not compatible with tight_layout, so its results might be incorrect.\n",
      "  warnings.warn(\"This figure includes Axes that are not \"\n"
     ]
    },
    {
     "data": {
      "image/png": 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gllLZFfl0WK/W9yeo+w7g+sLrcROs7YAbx6j/2lXqlQATLEnLbZr309FkpjFM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\ncIugJEkLy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      "text/plain": [
       "<matplotlib.figure.Figure at 0x11d3c9cf8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#fig, axes = plt.subplots(ncols=l2_neurons_x, nrows=l2_neurons_y, figsize=(10,10))\n",
    "fig=plt.figure(figsize=(12,12))\n",
    "fig.set_tight_layout({5,2,5})\n",
    "\n",
    "for y in range(l2_neurons_y):\n",
    "    for x in range(l2_neurons_x):\n",
    "        index=(y)*l2_neurons_x+x+1\n",
    "        id = \"{}{}{}\".format(l2_neurons_y, l2_neurons_x,index)\n",
    "        a=fig.add_subplot(l2_neurons_y, l2_neurons_x, index)\n",
    "        a.plot(l2_neurons[y][x].time, l2_neurons[y][x].Vm)\n",
    "        a.axis('off')\n",
    "        plt.title('Vm at {},{}'.format(y,x))\n",
    "        \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/markstrefford/anaconda/lib/python3.6/site-packages/matplotlib/figure.py:1743: UserWarning: This figure includes Axes that are not compatible with tight_layout, so its results might be incorrect.\n",
      "  warnings.warn(\"This figure includes Axes that are not \"\n"
     ]
    },
    {
     "data": {
      "image/png": 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jo+l9yynclw6ncNdIs8iSJEmSpIIssiRNIqffXVqcwl3ryxzHj1O4a6RZZEmS\nJElSQRZZkiRJklSQRZYkSZIkFWSRJUmSJEkFRUp+d09S86amZ64Edq01bVX795092lex5pePt+qx\nbAArB/TRRN93AY/26Xv/TrvVYQmbmp75ObBxrWn290/k7d7dXt+G/drn2ub92pvqe/tOu/UwS9TU\n9My2wA+6mpfyfkuP9us67daeLGFT0zNPA77V1Vxy3+rX1v28ev6z2f4S2LDPc/o9N9XuPwBs0mMc\nGwGb19r/rdNuHd6jb4llTQ9Akip/Bzy2dn9T4HeBT5D/w5y1O/As4G+6nn8Y8CBwWVf78cBFwE9q\nbRsDbwROB+ofdqeAQ4Bzuvo4hPzh7JKu9tcClwI/rrVtBLwJOJP8H/WsnYEjgM909fFs4DHVGFez\n9H2ONf/veSzwcuAvupbbH9gJOL+r/WXAfwFX19oCeAv5NVH/QLQ18NvAaaz54Xtf8uvovK6+jyK/\nTr7X1f5m4AvA7bW2FcCxPfreC9gb+GJXHy3gVuBfWPPD+lL0AGvvn7sCB7P2vvU88v59aVf7ceQP\n8DfU2pYDJwBnkPf1WbsAz+/R93PI++PFXe2/A1wOXF9rWwb8HvAp4P5a+47Akay93/4asAXwza72\nVwNXVrel7g7Wznk/8vvo33a1v4T8PnlVrW0lOYvufeiZwLbA12ptLeAW8nbtzurFwE3Av5L3ye9U\n6/qfwJfI+92h1Tq+R37fnl1n9+vycdVYzwSeCjyJtd8n3gh8tVrnT5D68EyWJEmSJBXkd7IkSZIk\nqSCLLEmSJEkqyCJLkiRJkgqyyJIkSZKkgiyyJEmSJKkgiyxJkiRJKsgiS5IkSZIKssiSJEmSpIIs\nsiRJkiSpIIssSZIkSSrIIkuSJEmSCrLIkiRJkqSCLLIkSZIkqSCLLEmSJEkqyCJLkiRJkgqyyJIk\nSZKkgiyyJEmSJKkgiyxJkiRJKsgiS5IkSZIKssiSJEmSpIIssiRJkiSpIIssSZIkSSrIIkuSJEmS\nCrLIkiRJkqSCLLIkSZIkqSCLLEmSJEkqyCJLkiRJkgqyyJIkSZKkgiyyJEmSJKkgiyxJkiRJKmgi\niqyIuCAiXlv9+7iIuKzpMak8c54M5rz0mfFkMOfJYM6TwZzXNjZFVkQcHBGXR8RdEXFHRHw3Ig6c\nz3NTSkemlM4e9hjnIyIOjYgb51jmnRHxHxFxT0T8OCLeOcfyh0XEdRFxX0R8KyJ2KTvqxWPOfZdd\nHhFfiojWGA0HAAAgAElEQVRORKSIOLT4oBeROfdd9lkRcWG1TW6LiC9GxOPLj3z4zLjvsntFxJUR\ncWd1uygi9io/8sVhzvPq+73V+/bhZUa7+My577JTVbara7cTy498cZjzwOU3jYhPRMTt1fa5dK5x\njEWRFRFbAl8FPg5sDewInAw82OS4hiiAY4GtgBcCb4mIV/ZcMGJb4DzgRPK2uRL4wiKNsyhz7p9z\n5TLgNcDNizC2oTHngTlvBZwBTAG7APcAZy3CGIsy44EZ3wS8Ati2up0PfH4xBlmaOc/5nk1E7AYc\nA/x8+MMbDnOeO2dgZUpp8+p2ytBHOATmPGfOZ5C3y57Vz7fPuYaU0sjfgGcAqwY8fhzwXeA04C7g\nOuCw2uOXAK+vLXtZ7bEPkz+8rqjuHw9cC9wJfAPYpWoP4FTgVuBu4Gpgnz7jeV3Vxz3Aj4ATqvbN\ngPuBR4HV1W2Hefz+HwM+3uexNwKX1+7PrmOPpnMz53I5dy13I3Bo03mZ83BzrpbdH7in6czMeGj7\n8jLgzcB9TWdmzsPJGfg68CKgAxzedGbmXPwz2BSQgGVN52TOQ815j2o8Wy5km47FmSzgB8AvI+Ls\niDgyIrbqscxBwPXkI4PvA86LiK37dRgRG0TEmcC+wBEppbsi4ijgPcDLgMcC3wE+Vz3lCOC5wJOB\nFcDLgV/06f5W4DeBLckvglMjYv+U0r3AkcBN6VdHPG4a9ItHRADPAa7ps8jewFWzd6p1/LBqHzfm\n3D/npcSc55/zcxew7Cgx4zlyi4hVwAPko8YfHLTsCDPnATlHxDHAgymlrw3qawyY89zvwzdExI0R\ncVZ1hdE4Muf+OT8TuAE4ubpc8OqIOHpQnzAmlwumlO4GDiYfLTgTuC0izo+I7WuL3Qp8JKX0cErp\nC8D3gVafLjciB7o18OKU0n1V+5uAP00pXZtSeoT8H99+kb/j9DCwBbmajWqZnqf/U0ozKaXrU/Zt\n4Jvk8NbFSeSc+l0ytDn5iELd3dVYx4o5D8x5yTDn+eUcEfsC7wXm9b2PUWLGc2ecUlpJ/hDxFuB7\n67iuRplz/5wjYotqnG9bx/5HhjkP3J9vBw4kX959QDXGz67juhplzgNz3gnYh/x5ewfy+/bZEbHn\noE7HosgCqDb0cSml2V90B+AjtUV+llI+p1e5oVqml92Bo4CTU0oP1dp3AT4aEauqo4x3kE9d7phS\nuph8ivQvgFsj4ozq+tW1VEcAroj8pcFV5EsFFnxkIyLeQr5etJVS6ndN7GpyFV+3gnz6dOyYc9+c\nlxRzHpxzROwOXAC8LaX0nYWuaxSY8dz7cspHXE8HPhMR2y10faPAnPvmfBJwTkqps9D+R5E59845\npbQ6pXRlSumRlNIt5A/fR1RF9tgx57778/3kAvADKaWHqqLuW+Qzb32NTZFVl1K6Dvhr8gtg1o7V\n6b5ZTyB/wbiXa8mnFi+IiKfU2n9KvqZzZe32mJTS5dV6P5ZSOgDYi3wqc60jzBGxMfBl4M+A7auj\nlV8jv4AgHyGYU0QcD0yTr3cdNEPKNcDTas/bDNiN8bzEaA3mPBnMea1ldwEuAk5JKZ0zn/5HnRkP\ntAGwKflL5mPNnNdwGPDWiLg5Im4GdgbOjYh3zWc9o8ycB5rtfyw/X9eZ8xr+vUfbnOsYixdBROwR\nEe+IiJ2q+zsDrwKuqC22HfkNbaPI10HvSd7gPaWUPke+JvSiyLP/QD6i+O6I2Ltaz4qqLyLiwIg4\nKCI2Au4lX0v/aI+ulwMbA7cBj0TEkaxZ6d4CbBMRKwb8vr9NPn36gpTSj3o8fklEnFTd/QqwT0Qc\nHRGbkK+RvaraOcaKOa/1eD1nImLjKmOA5RGxSdeb3Vgw57Ue/++cI2JH4GLgtJTS6f36HHVmvNbj\n9YxfEBFPj4gNIx+h/XPyl7+v7df/qDLntR6vv2cfRv5wul91uwk4gXyEfqyY81qP1/fngyLiKZG/\ne7QNefKES1JK3V/jGHnmvNbj9f35UuAn1biXRcSzgeeRJ+3oL43AjCZz3chH+M4FflZt9J8Bn6Sa\n5YO1Zzz5AfkLdvOZ8eQN5NOdU9X93yHPZnI3udr+dNV+GLmSXU2+BvezwOZ9xvvmKuBVwDnk6Xk/\nUHv80+Qv8q2ix4wnwI/JpyVX126n1x6/vnpRzN4/nDzLy/3V7zrVdGbmPJScO+QjJ/Xb2GVtzv1z\nJh8kSV3Lrm46MzMumvEx5Pfr1eQPCDPAvk1nZs7l37O7ntthfGcXNOf++/OrquXvJU/T/xngcU1n\nZs5D+Qy2N/CP1bb5T+Clc23TqJ441iLiOHKwBzc9lmGrjjCcm1L69abHstjMeTKY89JnxpPBnCeD\nOU8Gc164ZYXGo0WS8jWjE7dzTxpzngzmvPSZ8WQw58lgzpOhVM5j8Z0sSZIkSRoXS+JyQUmSJEka\nFZ7JkiRJkqSCLLIkSZIkqSCLLEmSJEkqyCJLkiRJkgpyCndJI2lqeuZg4DvAnp1267pa+weBd3fa\nreha/irgrk679dxa24bAI8B0p936UK39QOCfgf067dZVtfYTgff36PsKYINOu/XMrvYEnNRpt06u\ntT2V/McUn9Vpt/6p1v6HwIeBjTrt1iO19kuAbTrt1lPnvXGWkKnpmWOBs4GtOu3Wqlr7F4Dnddqt\n7bqWXw18sdNuva7W9jjyHwL9rU679eVa+zHkP665fafdurXW/tfAyzrt1pa1tgR8tNNu/a+u9W0F\n3EH+45nfJP/xy5eT//j73wM7d9qtG2vLnw4c32m3lnf181PgXzvt1ksWsHmWjKnpmQAeBU7stFsf\n6HrsUmDLTru1X1f7W4GPAo/ptFsP1Np3Jf+h0CM67daFXc95CDir026d0NX+WeCFnXZrm672lwLn\nATt02q2f19pXkP+I6fGdduusrudcD1zbabd+s6v9Q8Afdb9/SJpMnsmSNKpeVf08rKv93X2W3xd4\nTlfb7Afdk7raX1b9fFFX+/v79H0QcGCfx7r7nu3zZV3t76t+Pqar/RBgnz59T4K3Vz+f2NX+cuCx\nPZbfDDiuq222QH1TV/tbqp97drW/FtiiR99v69G2e+2xvat//0/gDdW/D+ha/gRgox797AQc1aN9\n0pzSo+05wNN6tP/v6ueKrvZnVz+P7fGcjYA39mh/NbB1j/bZ18y+Xe1PqH7+QY/n7Aq0erT/UY82\nSRPKIkuSJEmSCrLIkiRJkqSCLLIkSZIkqSCLLEmSJEkqyCJLkiRJkgqyyJIkScPmtOaSJopFliRJ\nkiQVZJElSZIkSQVZZEmSJElSQRZZkiRJklSQRZYkSZIkFWSRJWmSOeOZ1pWvnaXNfCWtF4ssSeoy\nNT3jByypLPcpSRPFIkvSJEtND0Bjy9fO0ma+ktaLRZYkSZIkFWSRJUmSJEkFWWRJkiRJUkEWWZIm\nmV/G17rytbO0ma+k9WKRJUmSJEkFWWRJGlXR9XMx+5hz+QHTvPdbp0fGeyuRc3dfJfuu91FyrJNm\nXbbZXPvSMF4zklSERZYkSZIkFWSRJWlUpa6fw+hjGH8Lp986/bs7vZXIubuvkn3X++j1bw3PXPvS\nMF4zc7VL0rxYZEmSJElSQRZZkiRJklSQRZakSeaX3rWufO0sbeYrab1YZEmaRE1+38LvepRnnlpf\nfjdLUlEWWZJG1TCncJ+rz/msc12ncPcI+ZoWI+dhTuFunvMz6lO4z7U/S9KCWGRJkiRJUkEWWZJG\nlVO4TwancFc/TuEuaWxZZEmSJElSQRZZkiaZ37fQuvK1s7SZr6T1YpElaRI5G93SYp5aX142KKko\niyxJkiRJKmhZ0wNYH1PTMy8HDmh6HA37Qqfd+remBzFMU9MzbwR2a3ocDftkp936UdODWGRO4T4Z\nnMJ9MjiF+xIzNT2zI/DWpsfRsBs77dbHmx7EME1Nz+wNHNv0OBr2H51265yFPmmsiyzgBcBrmh5E\nw64ClnSRBbwUOLTpQTTsq8CkFVmSpNG1HRZZVwJLusgiH+Se9Jz/FpisIqvTbr0BeEPT49Bwddqt\nI5segxoxrtM0O4X7wjiFu/pxCvcR1mm3vgc8pulxaLg67db5mPM68TtZkiRJklSQRZakSeb3LbSu\nfO0sbeYrab1YZEmaRE75vbSYp9aXlw1KKsoiS5IkSZIKssiSNKqcwn0yOIX7ZHAKd0kTxSJLkiRJ\nkgqyyJI0qsZ1mmancF8Yp3BXP07hLmlsWWRJmmReCqR15WtnaTNfSevFIkvSJPIo9dLi7IJaX57R\nklSURZYkSZIkFWSRJUmSJEkFWWRJGlVO4T4ZnMJ9MjiFu6SJYpElSZIkSQVZZEkaVYsxTfMwOIX7\nwozrFO4aviancJek9WKRJUmSJEkFWWRJmkQevV5anMJd68sp3CUVZZElSZIkSQVZZEmSJElSQRZZ\nkkaVU7hPBqdwnwxO4S5polhkSZIkSVJBFlmSRtW4TtPsFO4L4xTu6scp3CWNLYssSZPID1ZLi7ML\nan05u6CkoiyyJEmSJKkgiyxJkiRJKsgiS5IkSZIKssiSNKoGTq08NT2zkGnWncJ9dDmF+2RwCndJ\nE8UiS5IkSZIKssiSNKrGdZpmp3BfGKdwVz9O4S5pbFlkSZpEfrBaWpzCXevLKdwlFWWRJUmSJEkF\nWWRJkiRJUkEWWZIkSZJUUKTk5caSmjc1PbMpa06X/DHgeOCdwF/W2ldXP7cEHu3RvnmtbUvgpmq5\nLWvtpwBvBz4AtHv08Vjg/jn63hj4RY/2dwLvAz4OvLvWfgewHNgJWNWn7/s77Vb9d1pypqZnNutq\n+hdgT+A5wPdq7b22eb/2w4C/Ay4DXlhr/wfgIOBFwKVz9NFvfc8ALgGuJuf5VeAfgXuAI4BXAX+/\nwHHf12m3lux/vtWfV9i0q3lT4Nbq3/PJFOBGYCWwG3BLrf23gU8CXwKOm2df/dpngEOAlwIX1tqf\nSs75B8D+67CO1Gm37kPSxLLIkjQSpqZn/gvYvelxNGy3Trv1o6YHMUxT0zMPkAvUSba802493PQg\nhmVqeuax/KqgmlQ3d9qtxzc9CEnNWdb0ACSp8n/IR61nbUQ+uvxF1pzh63HAPsBFXc9/OvAQcE1X\n+wuBK4Hba23LgKOrvutnjh5LPmr9ja4+nkq+vPqqrvYjgP/Lmh8oNwB+CzgPeKTWvg3wTOCCrj72\nAjYB/o18tmupew+wYe3+FsDzyWei6nYDtiOfTah7DvAT4Iau9pcC3wTurbVtRs7oK13LTpHPKF5W\na3se+azFz3qM+SjgYvLZq9n1PEo+Q/blrmV3BnYFvt3VfhA53/9izdfcUnQv8Ec92n+D/Dq/rat9\nH/I++X+72rcCfp18tqkuyPvY+cCDXY89F+iQXyN1u5LfOy7vat+U/B5xXo/x/g/yWcy7u9oPrNq+\n39X+ePL+/A+s+TqUNIE8kyVJkiRJBTnxhSRJkiQVZJElSZIkSQVZZEmSJElSQRZZkiRJklSQRZYk\nSZIkFWSRJUmSJEkFWWRJkiRJUkEWWZIkSZJUkEWWJEmSJBVkkSVJkiRJBVlkSZIkSVJBFlmSJEmS\nVJBFliRJkiQVZJElSZIkSQVZZEmSJElSQRZZkiRJklSQRZYkSZIkFWSRJUmSJEkFWWRJkiRJUkEW\nWZIkSZJUkEWWJEmSJBVkkSVJkiRJBVlkSZIkSVJBFlmSJEmSVJBFliRJkiQVZJElSZIkSQVZZEmS\nJElSQRZZkiRJklSQRZYkSZIkFWSRJUmSJEkFTUSRFREXRMRrq38fFxGXNT0mlWfOk8Gclz4zngzm\nPBnMeTKY89rGpsiKiIMj4vKIuCsi7oiI70bEgfN5bkrpyJTS2cMe43xExKERceMcy7w9In4UEXdH\nxE0RcWpELBuw/GERcV1E3BcR34qIXcqPfHGYc++cI2J5RHwpIjoRkSLi0KEMfJGYc9+cnxURF1bb\n5LaI+GJEPH44ox8uM+6b8V4RcWVE3FndLoqIvYYz+uEz5/7/N9ee997qffvwciNeXObcd3+eqrJd\nXbudOJzRD585D/ysvWlEfCIibq+2z6VzjWMsiqyI2BL4KvBxYGtgR+Bk4MEmxzVE5wMHppS2BPYB\nnga8tdeCEbEtcB5wInnbXAl8YZHGWZQ598+5chnwGuDmRRjb0JjzwJy3As4ApoBdgHuAsxZhjEWZ\n8cCMbwJeAWxb3c4HPr8YgyzNnOd8zyYidgOOAX4+/OENhznPnTOwMqW0eXU7ZegjHAJznjPnM8jb\nZc/q59vnXENKaeRvwDOAVQMePw74LnAacBdwHXBY7fFLgNfXlr2s9tiHyR9eV1T3jweuBe4EvgHs\nUrUHcCpwK3A3cDWwT5/xvK7q4x7gR8AJVftmwP3Ao8Dq6rbDHL/7NsBFwCf6PP5G4PLa/dl17NF0\nbuZcLueuZW8EDm06L3Mebs7V8vsD9zSdmRkPbV9eBrwZuK/pzMx5ODkDXwdeBHSAw5vOzJyLfwab\nAhKwrOmczHmoOe9RjWfLBW3TpkOdZ/BbAr8AzgaOBLbqEfwj5KpyI/JRwruArfsFTz6Ld2YV7qbV\nY0cBPyRXqcuAP6YqYIDfAP4VWFm9CPYEHt9nvC1gt2q5Q4D7gP2rxw4FbpzH7/zqKtAE3AY8rc9y\nHwX+sqvtauDopnMz53I5dz1n3Issc55HztXz/hdwRdOZmXH5jIFV1TZ4FPjjpjMz5/I5k89g/V31\n7w7jW2SZc//PYFPVMj8j/998FrBt05mZc/GcjyV/tj4VuJ15fs4ei8sFU0p3AweTN8KZwG0RcX5E\nbF9b7FbgIymlh1NKXwC+Tw6gl42Az5FP9704pXRf1f4m4E9TStemlB4BPgjsV33H6WFgC3I1G9Uy\nPU//p5RmUkrXp+zbwDeB5yzwd/7/Uz6F+WTgdOCWPotuTn6R191djXWsmPPAnJcMc55fzhGxL/Be\n4J0LWdcoMOO5M04prQRWAG8BvreQdY0Kc+6fc0RsUY3zbQvpfxSZ88D9+XbgQPLl3QdUY/zsQtY1\nKsx5YM47kS8pvAvYgfy+fXZE7Dmo/7EosgCqDX1cSmn2F90B+EhtkZ+llMvNyg3VMr3sTq6kT04p\nPVRr3wX4aESsiohVwB3kCnnHlNLF5FOkfwHcGhFnVNevriUijoyIK6ovDa4iXyqw7YJ/aSCl9F/A\nNcAn+iyymnz0oW4F+fTp2DHnvjkvKeY8OOeI2B24AHhbSuk767Kuppnx3PtySule8n/sn4mI7dZl\nfU0z5745nwSck1LqrEv/o8ace+ecUlqdUroypfRISukW8ofvI6oie+yYc9/9+X5yAfiBlNJDVVH3\nLeCIQf2OTZFVl1K6Dvhr8gtg1o4REbX7TyB/wbiXa8nXcl4QEU+ptf+UfE3nytrtMSmly6v1fiyl\ndACwF7nqXesIc0RsDHwZ+DNg++po5dfILyDIRwgWahn5lGgv15C/rDe7/s2qZa9Zh/WMFHOeDOa8\n1jp3IV8bfkpK6Zx16H/kmPFAGwCbkr9kPtbMeQ2HAW+NiJsj4mZgZ+DciHjXOqxnpJjzQLP9j+Xn\n6zpzXsO/92ibcx1j8SKIiD0i4h0RsVN1f2fgVcAVtcW2I7+hbRQRx5Cv4/xavz5TSp8D3gNcVM3+\nA/mI4rsjYu9qPSuqvoiIAyPioIjYCLgXeIB8LX235cDG5Gs7H4mII1mz0r0F2CYiVgz4fV8/e1Qz\n8tS+7wb+ofb4JRFxUnX3K8A+EXF0RGwCvA+4qto5xoo5D8yZiNi4yhhgeURs0vVmNxbMuX/OEbEj\ncDFwWkrp9H59jjozHpjxCyLi6RGxYeQjtH9O/vL3tf36H1XmPPA9+zDyh9P9qttNwAnkI/RjxZwH\n7s8HRcRTImKDiNgG+BhwSUqp+2scI8+cB+7PlwI/qca9LCKeDTyP/F2z/tIIfNlurhv5CN+55C8W\n3lv9/CTVLB+sPePJD4Ajas+/hP4znryBfLpzqrr/O+QvtN1NrrY/XbUfRq5kV5Ovwf0ssHmf8b65\nCngVcA55et4P1B7/NPnLhavoMeMJ+YuTt1S/a4c8K8smtcevB15Qu384eZaX+6vfdarpzMx5KDl3\nyEdO6rexy9qc++dMPkiS+NWMSKuB1U1nZsZFMz6G/H69mvwBYQbYt+nMzLn8e3bXczuM78QX5tx/\nf34V8ONq2Z8DnwEe13Rm5jyUz2B7A/9YLf+fwEvn2qZRPXGsRcRx5GAPbnosw1YdYTg3pfTrTY9l\nsZnzZDDnpc+MJ4M5TwZzngzmvHBz/qVyjZaU0o3AxO3ck8acJ4M5L31mPBnMeTKY82QolfNYfCdL\nkiRJksbFkrhcUJIkSZJGhWeyJEmSJKkgiyxJkiRJKsgiS5IkSZIKssiSJDVmanompqZnHtOjfdnU\n9MzyHu3Lp6ZnNux+ztT0zGOqvpZPTc9s2N139ZzlPf69wdT0zMa1vpfV+6z33T22PuPu1RZT0zOb\ndLdPkvp27mrfaGp6ZqMe7ZtMTc+s9Rmlz/bdoNf2HdD3xgX6Xjag7w272yVNHossSVKT/hC4b2p6\nZruu9iuAB3ss/yD5j0HeNzU9cyTA1PTMFHAfcEL1+NeqZd9cLbczcEGtv2/V/v1XwAO1vi+v+jy0\neu6rqr7/oDaGK6tl75uannnSbOPU9MzrutsqJwL3T03PbNV3Kyx9n+JX27nuTvIfBP1vVUF7P/mP\nntbbDyVv3+d39fEx8vbtLm5uAu7psc4HyH+ItN73s6q+W13Ltqu+uwuw64GH+vT9+R7tkiaMRZYk\nqUmvrn7u2NV+wIDnzJ4RObz6OVvUHF39PKL6eUz1c1fgBbXnP6f27+O6+j6w+nlI9fN3qp+vrC3z\ntNq/96r9+yU92up9bMvkel2f9s2A7uJz9rPJCV3th3T9pGu57s802/Kr10q3Y7vu/1r18/Cu9t+t\nfm7a1f6EPv0C/NaAxyRNCIssSZIkSSrIIkuSJEmSCrLIkiRJkqSCLLIkSZIkqSCLLEnSuIq5F5Ek\nafFZZEmSJElSQRZZkqRxlZoegCRJvVhkSZIkSVJBFlmSJEmSVJBFliRJkiQVZJElSZIkSQVZZEmS\nxpVTuEuSRpJFliRJGiUWz5LGnkWWJGlcOYW7JGkkWWRJkiRJUkEWWZIkSZJUkEWWJEmSJBVkkSVJ\nGldOkCBJGkkWWZKkcdfkBBhOvrE0mKOkoiyyJEnjrskzWp5NK29dt+n6ZGGOkoqyyJIkjSvPPkiS\nRpJFliRJkiQVZJElSZIkSQVZZEmSJElSQRZZkqRx5WQFkqSRZJElSRp3TuGu9WWOkoqyyJIkNSm6\nfpbsY3367n5uvz6ix79LjmMSLXQ7juprSNIEs8iSJEmSpIIssiRJTUpdP9fluXPdX5++F9JHv2XX\nZxyTbL7bseR2NTtJRVhkSZIkSVJBFlmSpHHl92QkSSPJIkuSNO6cXVDryxwlFWWRJUmSJEkFLWt6\nAOtjanrmTcBzmx5Hw/6y0259p+lBDNPU9Mz/BvZuehwNO6XTbl3b9CCGaWp65lRg+6bH0bC3d9qt\nW5oexCIb1em3ncJ9CKamZ6LTbs111sgp3MfA1PTME4E/aXocDbu+026d2PQghmlqeuYZwB80PY6G\n/Uun3Tp1oU8a6yILeCLwjKYH0bBtmh7AIngy5rxF0wNYBPsAuzQ9iIYtb3oAkjRPm+L/zRs3PYBF\nsBXmfMe6PGmsi6xOu/Uu4F1Nj0PD1Wm3Xtv0GDR8nXbrBU2PQY1wCnf14xTuI6zTbl1DPgiqJazT\nbl2IOa8Tv5MlSRpXXsIlSRpJFlmSJEmSVJBFliRp3DmFu9aXOUoqyiJLkiRJkgqyyJIkNWkkpt+e\nmp6Z67lO4V7GfLaBU7hLGnsWWZIkSZJUkEWWJKlJTuGufpzCXdLYssiSJI0rL+GSJI0kiyxJ0rhz\ndkGtL3OUVJRFliRJkiQVZJElSZIkSQVZZEmSmjQq0287hfviaHQK9x5T9RfrW5LqLLIkSZIkqSCL\nLElSk0pOke0U7kuLU7hLGlsWWZIkSZJUkEWWJGncOYX7/2vvzsMlq+p7/7+/0DTI1AwCMgiloIxB\nBBGjiBiQ38XSEDVozAQajDfRK9eb600luRr56WMqxhsn9CqaIHL9oWjwF5MSB4LIFAcSowQbNWCh\nDTag0EAzyLTuH3sfqa5TVafO6VVn1z71fj1PPdW1h7XX2d+q6vrsvWuVNpd1lJSVIUuSJEmSMjJk\nSZIkSVJGhixJUpUcwn22VDqE+4hlrJ2krAxZkiRJkpSRIUuSVCWHcNcwDuEuqbYMWZKkunN0QW0u\n6ygpK0OWJEmSJGVkyJIkSZKkjAxZkiRJkpSRIUuSVCWHcJ8tDuEuaSYYsiRJkiQpI0OWJKlKDuGu\nYRzCXVJtGbIkSXXnEO7aXNZRUlaGLEmSJEnKyJAlSZIkSRkZsiRJkiQpo0jJy5AlScuj0eocyKbD\nYV8K7Am8HLi2Z/ra8v7gvibW9vz708BbgOOADwPXAYf2rPf3wFOB3wP+pmf62gH//qWe7R8M/Pdy\nvW8BTwfWAS8Y0If/Cnyx/PfHgaOBNwJf6Fnm68COQBO4Efhet91csf/5NlqdVcABfZPn9tnhwEMD\npvfWeVvgXwZMn6vJucA7B7TxDODeBdreEvj3AdN/n6JunwHePKCNZwN3LtB27/SndtvNHyBpZhmy\nJEnLptHqPABsXXU/Kra6224+tPBi9dRodXYDbqu6HxVb320396y6E5Kqs6rqDkiSZsrvsuml6ltT\nnEW6pm+53YCdge/3TT8IuJ3iDNXXgUfL6c+kOOt0AHArcAewGjgC+AawC7AHxZmGx5e364EdgCcB\n3ynbvLNsP4BfBv6Z4gzJd4Cfl9vaHdiV4uzU13v6tgo4qm8awDYUZ9jmzs48Mm+vrCz3AK/sm9a7\nn3vtSzGy34/7pj8NuAHY2DOttya9R4i3p6j7v/W1sQ/Fmaub+qYfDnSBu/vafhabPqegOKt2IMVz\nqwCFRTEAACAASURBVNdeFM/dH/ZNP6z8W25F0kzzTJYkSZIkZeTAF5IkSZKUkSFLkiRJkjIyZEmS\nJElSRoYsSZIkScrIkCVJkiRJGRmyJEmSJCkjQ5YkSZIkZWTIkiRJkqSMDFmSJEmSlJEhS5IkSZIy\nMmRJkiRJUkaGLEmSJEnKyJAlSZIkSRkZsiRJkiQpI0OWJEmSJGVkyJIkSZKkjAxZkiRJkpSRIUuS\nJEmSMjJkSZIkSVJGhixJkiRJysiQJUmSJEkZGbIkSZIkKSNDliRJkiRlZMiSJEmSpIwMWZIkSZKU\nkSFLkiRJkjIyZEmSJElSRoYsSZIkScrIkCVJkiRJGRmyJEmSJCmjmQhZEXFxRJxW/vv0iLiy6j4p\nP+s8G6zzymeNZ4N1ng3WeTZY5/lqE7Ii4tiIuDoi7oqIOyLiqog4epx1U0onp5TOm3QfxxERx0fE\nujGXXR0RaxdaPiJOiIjrI+K+iPhKROyXp7fLzzqPXOYzEdGNiBQRx2frbAWs89BlnhURXy73ye0R\n8emI2DNfj5ePNR66zCERcU1E3FneLomIQ/L1eHlZ57GWf0v5vn3i5vWyOtZ56DKNsrYbe25vztfj\n5WWdRy63bUR8MCJ+Wu6fyxdquxYhKyJ2BP4ReD+wC7A3cBbw8yr7tQzeBNw+aoGIeDxwEfBmin1z\nDfCpyXctP+u8oCuB3wbWT7Y7k2WdR9oZOAdoAPsB9wDnTrZb+VnjkW4BXgE8vrx9DvjkhPs1EdZ5\nYRGxP3Aq8JOJ9miCrPNYdkopbV/e3jbJTk2KdV7QORT75eDy/o0LrpFSmvob8Axgw4j5pwNXAWcD\ndwHXAyf0zL8MOKNn2St75v0VxYfXNeXjVwNrgTuBLwL7ldMDeDdwG3A3cC1w2JD+vKps4x7gRuC1\n5fTtgPuBR4GN5W2vIW08qWzjZGDdiL/994Grex7PbeOgqutmnfPVuW+ddcDxVdfLOk+2zuV6RwL3\nVF0zazyx1/Iq4HXAfVXXzDpPps7AF4AXAl3gxKprZp2zfwZrAAlYVXWdrPNE63xQ2Z8dF7NPa3Em\nC/g+8EhEnBcRJ0fEzgOWOQa4geLI4J8DF0XELsMajIgtIuIjwOHASSmluyLiFOBPgZcCuwFXABeU\nq5wEHAc8FVgDvBz42ZDmbwNeBOxI8SR4d0QcmVK6l6KQt6THjnjcMqSN95d9uX/Y31A6FPj23INy\nG/9RTq8b6zwbrPP4jgOuW+Q608AaLyAiNgAPlOu9Y5x1ppB1HiEiTgV+nlL6/ELLTjnrvLCbImJd\nRJxbXmFUR9Z5uGcCNwFnlZcLXhsRL1tgnXqErJTS3cCxFEcLPgLcHhGfi4g9eha7DXhPSumhlNKn\ngO8BzSFNbkVR0F2AF6eU7iun/2fgL1JKa1NKD1P8x3dEFN9xegjYgSLNRrnMwNP/KaVOSumGVPgq\n8CXgueP+vRHxEmDLlNJnx1h8e4ojCr3uLvtaK9Z5Nljnsdc7HHgLxaUMtWKNF5ZS2oniQ8TrgW+N\nu940sc4jl92h7OeZ47Y/razzSD8Fjqa4vPuoso+fGHdb08Q6j7QPcBjF5+29KN63z4uIg0etVIuQ\nBVDu6NNTSnN/6F7Ae3oWuTml4pxe6aZymUEOAE4BzkopPdgzfT/gvRGxoTzKeAfFqcu9U0qXUpwi\n/QBwW0ScU16/Ok95BOBrUXxpcAPFpQJjHdmIiO2AdwJvGGd5itOg/f1YQ3H6tHas82ywzguudwBw\nMXBmSumKxaw7LazxwlJxxPVDwMcjYvfFrj8NrPNQbwXOTyl1x1x+qlnnwVJKG1NK16SUHk4p3Urx\n4fukMmTXjnUe6n6KAPj2lNKDZaj7CsWZt6FqE7J6pZSuBz5G8QSYs3dERM/jfSm+YDzIWopTixdH\nxIE9039McU3nTj23x6WUri63+76U0lHAIRSnMucdYY6IrYG/A94F7FEerfw8xRMIiiMEozyF4hrf\nKyJiPcWgFntGxPqIaAxY/jrgaT3b3w7Yn3peYrQJ6zwbrPO8be4HXAK8LaV0/gLt14I1HmkLYFuK\nL5nXmnXexAnAG8r564EnAhdGxB8vsJ2pZ51Hmmu/lp+ve1nnTXxnwLSFtlGPJ0FEHBQRfxQR+5SP\nnwi8Evhaz2K7U7yhbRXFddAHU+zwgVJKF1Bch3lJFKP/QHFE8U8i4tByO2vKtoiIoyPimIjYCriX\n4lr6Rwc0vRrYmmKkkocj4mQ2Tbq3ArtGxJohXft3ijfjI8rbGeU6R1A8MYmIyyLireXynwUOi4iX\nRcQ2FNfIfrt8cdSKdR5ZZyJi67LGAKsjYpu+N7tasM7D6xwRewOXAmenlD407O+ddtZ4ZI1fEBFP\nj4gtozhC+9cUX/5eO+xvn1bWeeR79gkUH07nlr8FeC3FEfpasc4jX8/HRMSBUXz3aFfgfcBlKaX+\nr3FMPes88vV8OfCjst+rIuI5wPMpBu0YatWomVPkHoov2/23iNgJ2EAxzGRvuv06RTL9KcWO+vWU\n0rAvywGQUjovIlYDl0bE81JKn42I7YFPRnE0+S7gy8CnKS7JezfwZIqif5FitJT+Nu+JiDcAF1I8\nAf6BYojeufnXR8QFwI0RsSVwSOr5Ql4qrk/9xRDdEXEH8GhKqXfY7idSjPBCSun2KL58dzbwf8r9\n8Buj/u4pZp2H1Ln0PYrT7PDYC/tJFKNW1Yl1Hl7nM8o+vbXnzZ2U0vaj/vYpZI2H13gnii9b70Nx\nCco3gP+UUnpg1N8+pazz8P+bN/kbI+IR4M6U0sZRf/uUss7DX89PpvhO0e4U34f/MkUwqSPrPPz1\n/FAUA3Z8FGhRXCb5uwud0IiUFjzbNfUi4nSKYSOPrbovk1YeYbgwpfTsqvuy3KzzbLDOK581ng3W\neTZY59lgnRevLmeyVEoprQNm7sU9a6zzbLDOK581ng3WeTZY59mQq861+E6WJEmSJNXFirhcUJIk\nSZKmhWeyJEmSJCkjQ5YkSZIkZWTIkiRJkqSMDFmSpMo1Wp0nN1qdgT+uvRnztmi0Oo1h643qywTm\n7dZodXYcNn+la7Q62zRanb0HTN+l0ersPGD6Po1WZ+sB0+ft40ars3Wj1dlnwPSdG63OLgOm79Vo\ndbYZMH1Q26sbrc4Ty9vqnulrGq3Oro1Wp9Fodbbsmb5no9V5XH87kmaPIUuSVKlGq/MM4Abg9QPm\nPauc99oB844t5/3ekKbfAvyw0eoc0LfeicANjVbntwa0eXI57+UD5r24nPfSAfNeVs570ZC+3Ab8\naMi8WXARsG7A9J8Bd/ROaLQ6WwA/Bi7om/6rFPv4JX1tfAL4cW/YKd1Rtt/vZnp+uLRse9hz4iMU\ndfsR8Dc90++k+EHWHwJn9Uy/heKHVSXNOEOWJKlqTynvB/0uyYHl/S8PmHdweX/MkHafX973n0H5\npfL+GQPWOby8P2rAvCPK+6cPmHdkef+0IX0BWDNi3kp38iKWnTszeUrf9Ln9fkTf9LnlFvOZ5gV9\nj4c9J1405N+9Z0+fz6aes4h+SFqhDFmSJEmSlJEhS5IkSZIyMmRJkiRJUkaGLEmSJEnKyJAlSdJ4\nBg4VL0lSP0OWJEmSJGVkyJIkaTyp6g5IkurBkCVJkiRJGRmyJEmSJCkjQ5YkSZIkZWTIkiRJkqSM\nDFmSJI3HIdwlSWMxZEmSpGlimJVUe4YsSZLG4xDukqSxGLIkSZIkKSNDliRJkiRlZMiSJEmSpIwM\nWZIkjccBGSRJYzFkSZI036hBLgbNc1CMetuc+ll7SfMYsiRJmm/UWatB8zzLlc9S9+Xm1KCqdSWt\nUIYsSZLG4xkLSdJYDFmSJEmSlJEhS5IkSZIyMmRJkiRJUkaGLEmSxuMAB5KksRiyJEmazyHcZ4tD\nuEvKypAlSdJ8DuFeHYdwl1R7hixJksbjGQtJ0lgMWZIkSZKUkSFLkiRJkjIyZEmSNB6/eyNJGosh\nS5Kk+RxdcLY4uqCkrAxZkiRJkpTRqqo7sDkarc6fASdX3Y+Kvb3bbn6h6k5MUqPVeS9wVNX9qNh/\n6bab36q6E5PUaHU+CexTdT8q9opuu3lz1Z0Q4BDuE9FodaLbbi505sch3Gug0eocCPxN1f2o2Npu\nu/maqjsxSY1W5zjgHVX3o2Jf7babf7bYlWodsoCHgAeq7kTFHqm6A8vgQazzo1V3YBn8HOs8C3Wu\nMy8Lkx7zKL5nP1h1B5bBI1jnh5ayUq1DVrfdfCfwzqr7ocnqtptvqroPmrxuu3la1X2QJI2n227+\nADix6n5osrrt5lVY5yXxO1mSJI1nJi8LkyQtniFLkiRJkjIyZEmSNJ9DuM8Wh3CXlJUhS5IkSZIy\nMmRJkqoWffc55o2avzltbs56Gm//LLZuOfb9Qm2Pat+aS5rHkCVJkiRJGRmyJElVS333OeaNmj9O\nm6PaG8Xv5+Qzbt1y7vNRbVtbSWMzZEmSNB4vC5MkjcWQJUnSfI4uOFscXVBSVoYsSZIkScrIkCVJ\nkiRJGRmyJElVcwj32VHpEO6NVmepz5VR7VtzSfMYsiRJkiQpI0OWJKlqdRnCfRwOgpCPQ7hLqi1D\nliRJkiRlZMiSJGk+h3CfLQ7hLikrQ5YkSZIkZWTIkiRJkqSMDFmSpKo5hPvsqHQI9xHLOIS7pKwM\nWZIkSZKUkSFLklQ1h3DXIA7hLqm2DFmSJM3n6IKzxdEFJWVlyJIkSZKkjAxZkiRJkpSRIUuSJEmS\nMjJkSZKq5hDus8Mh3CXNBEOWJEmSJGVkyJIkVc0h3DWIQ7hLqi1DliRJ8zmE+2xxCHdJWRmyJEmS\nJCkjQ5YkSZIkZWTIkiRJkqSMIiUvJZYkLY9Gq3MC8w/wNYEzgeuAN/bN+zXgD4F/A/5H37xTgdcA\n3wD+54DNfQLYDfgz4Js9008HfhO4DHhH3zqvKdv9EvCuvnmvA04BOsB7++b9V+CFwGeB/z2gL18q\n708C/qnbbj46YJkVodHqrAae1zd57u9vAg8NmH5Sz7THAX8/YPrrgV8F/hF434A2fg24b4G2twQu\nHjD9NOC3mP+c+BKbOmnA9DuA3+ibfny33fwqkmaWIUuStGwarc4DwNZV96Niq7vt5kMLL1ZPjVZn\nN+C2qvtRsfXddnPPqjshqTqrqu6AJGmm/AqDf7x1H+BmBo/UttR5AexVzs+5vXUDpi80bxfgAYoz\nLY8MWWal2AAc2zdtFfB4YH3f9DUU+/nuvulPAH4KPNw3fdA+XkVxxvInfdN3oDhreteAtn/GpmfU\n5trur/uWwB7ltNt4rHbbA1sB25bbnTszuQdwJ3AvkmaaZ7IkSZIkKSMHvpAkSZKkjAxZkiRJkpSR\nIUuSJEmSMjJkSZIkSVJGhixJkiRJysiQJUmSJEkZGbIkSZIkKSNDliRJkiRlZMiSJEmSpIwMWZIk\nSZKUkSFLkiRJkjIyZEmSJElSRoYsSZIkScrIkCVJkiRJGRmyJEmSJCkjQ5YkSZIkZWTIkiRJkqSM\nDFmSJEmSlJEhS5IkSZIyMmRJkiRJUkaGLEmSJEnKyJAlSZIkSRkZsiRJkiQpI0OWJEmSJGVkyJIk\nSZKkjAxZkiRJkpSRIUuSJEmSMjJkSZIkSVJGhixJkiRJysiQJUmSJEkZzUTIioiLI+K08t+nR8SV\nVfdJ+Vnn2WCdVz5rPBus82ywzrPBOs9Xm5AVEcdGxNURcVdE3BERV0XE0eOsm1I6OaV03qT7OI6I\nOD4i1i2wzFsj4qGI2Nhze/KI5U+IiOsj4r6I+EpE7Je/58vDOg+uc0SsjojPREQ3IlJEHD+Rji8T\n6zy0zs+KiC+X++T2iPh0ROw5md5PljUeWuNDIuKaiLizvF0SEYdMpveTZ52H/9/cs95byvftE/P1\neHlZ56Gv50ZZ295l3zyZ3k+edR75WXvbiPhgRPy03D+XL9SPWoSsiNgR+Efg/cAuwN7AWcDPq+zX\nhH0qpbR9z+3GQQtFxOOBi4A3U+yba4BPLWM/s7HOw+tcuhL4bWD9MvVtIqzzyDrvDJwDNID9gHuA\nc5epj9lY45E1vgV4BfD48vY54JPL1cmcrPOC79lExP7AqcBPlqd7+VnnhesM7NSz7NuWpYeZWecF\n63wOxX45uLx/40KN1yJkAU8FSCldkFJ6JKV0f0rpSyml78AvTkteFRFnl+ny+og4YW7liLgsIs4Y\n1HBE/FVEXBkRa8rHr46IteURxi9GeVYoCu+OiNsi4u6IuDYiDhvS5qvKNu6JiBsj4rXl9O2Ai4G9\nelLzXpu5b14KXJdS+nRK6QHgrcDTIuKgzWy3CtZ5iJTSgyml96SUrgQe2Zy2poB1HiKldHH5Wr47\npXQfcDbwnM1psyLWeIiU0oaU0g0ppUeAoHg9H7A5bVbIOi/sA8AfAw9maq8K1nk2WOchovhM/avA\n76eUbi/3z78stF5dQtb3gUci4ryIODkidh6wzDHADRRHBv8cuCgidhnWYERsEREfAQ4HTkop3RUR\npwB/ShFcdgOuAC4oVzkJOI7iSbgGeDnwsyHN3wa8CNgReBXw7og4MqV0L3AycEtPar5lSBsvjuJU\n7XUR8QfD/g7gUODbcw/KbfxHOb1urPNssM7jOw64bhHLTwtrvICI2AA8QHHU+B0LLT+lrPMIEXEq\n8POU0udHLVcD1nlhN0XEuog4N4orjOrIOg/3TOAm4KwoLhe8NiJeNmL5QkqpFjeK03MfA9YBD1Nc\nYrFHOe90ikswomf5bwC/U/77MuCMnmW/TnFJ3d8Bq3vWuRj4vZ7HWwD3UVy28ysUT8BnAVsssu//\nP3Bm+e/jgXULLH8IsBewJfBsissMXjlk2b8B2n3TrgJOr7pm1jlfnfvWWwccX3WtrPPE63w4cAfw\n3KrrZY0nVuPtgD8EmlXXyzpn/795B+AHQKN83AVOrLpe1jl7nbcHngGsAvYAPgN8sep6Wefsdf5T\nIFFcLbYaeB6wETh41DbqciaLlNLalNLpKaV9gMModsx7eha5OZV7onRTucwgBwCnAGellHpP4e8H\nvDciNpRHGe+guJxj75TSpRSX7nwAuC0izoni+tV5yiMAXyvT8QbghRSpf9y/9bsppVtScTryauC9\nwK8PWXwjRYrvtYbiuxy1Y52H1nlFsc6j6xwRB1D8R3RmSumKcbc1Tazxwq/lVBxx/RDw8YjYfdzt\nTRPrPLTObwXOTyl1x21/mlnnwXVOKW1MKV2TUno4pXQr8HrgpIjYYdztTRPrPPT1fD/wEPD2VHx9\n46vAVyjOvA1Vm5DVK6V0PUXS7r1Oc++IiJ7H+1Ik7kHWUpxavDgiDuyZ/mPgtSmlnXpujyt3Piml\n96WUjqJIv08F3tTfcERsTZHa30WR/ncCPk/xBIIiCS9W6lm/33XA03q2vx2wP/W8xGgT1nk2WOd5\n29wPuAR4W0rp/CW0P3Ws8UhbANtSfMm81qzzJk4A3hAR6yNiPfBE4MKI+OMlbGeqWOcFl4Wafr7u\nZZ038Z0hy49UiydBRBwUEX8UEfuUj58IvBL4Ws9iu1O8oW0VxXXQB1Ps8IFSShdQnP67JIrRf6A4\novgnEXFouZ01ZVtExNERcUxEbAXcS3Et/aMDml4NbA3cDjwcESezadK9Fdg1yi//Dfl7T4mInaPw\nTOBM4O975l8WEW8tH34WOCwiXhYR21BcI/vt8sVRK9Z5ZJ2JiK3LGgOsjoht+t7sasE6D69zROwN\nXAqcnVL60LA2p501HlnjF0TE0yNiyyiO0P41cCfFB5Jasc4j37NPoPhwekR5uwV4LcUR+lqxziNf\nz8dExIFRfPdoV+B9wGUppbuGtT+trPPI1/PlwI/Kfq+KiOcAzwe+OKz9uR0w9TeKI3wXAjeXO/1m\n4MPAjumxaz+vojjFeBfF9Zwn9ax/GZteJ3plz7zXUJzubJSPfwe4FribIm3/bTn9BIokuxH4KfAJ\nYPsh/X1dWeANwPkUw/O+vWf+31J8kW8DsNeA9S8o528Ergfe0Df/BuAFPY9PLJe7v/xbG1XXzDpP\npM5diiMnvbfa1do6D68zxUGSVC77i1vVNbPGWWt8arnMRooPCB3g8KprZp3zv2f3zetS0+9kWeeR\nr+dXAj8s98tPgI8DT6i6ZtZ5Ip/BDgX+udw33wVestA+jXLFWouI0ykKe2zVfZm08gjDhSmlZ1fd\nl+VmnWeDdV75rPFssM6zwTrPBuu8eKsy9UfLJKW0jmIUFK1g1nk2WOeVzxrPBus8G6zzbMhV51p8\nJ0uSJEmS6mJFXC4oSZIkSdPCM1mSJEmSlJEhS5IkSZIyMmRJkiRJUkaOLqjaarQ6DYBuu9kdMG9X\nYO9uuznvV7obrc5q4Ohuu3nVkHaPBb7ebTcfGjDvSOCGbrs574cGG63OU4D7u+3mugHzngDs3G03\n5/3gaKPV2Qo4pttuXjlg3p4UP7D3xW67uX5Qf1eqRquzBfDcbrv51UarswuwT7fd/E6j1dkZ2K/b\nbv5b3/JHA9/ttpv39k0/CvgBsBXlc6LR6gRwHMUPDDaA1G03u41WZw3w5G67+a2e9X8JuKXbbv6s\nd71uu5karc7TgR92280NPcsfA1zbbTfv69t+Ag7stpvXlNMPpfidpG2AVd1288Y8e65eGq3ONsDT\nu+3mP/dN3xNY0203ry8fH0bxmyi7AT/rtpu39i3/HOAbva/b8rX+jG67eXXfsnsAu3bbze+Wj4+m\n+DHgfYC7uu3mT/qW/2XgW91284GeaauAZ829bueef8C2wO7ddvO6cvpxFL8tsz+wsdtu3rKE3bRi\nNVqdJwGPdtvNmxZYbjd69usYbaZB/zcMWPYwYH233fzpGMseA3yn227ev9CykuSZLNXZD8vbIN8E\nvj1k3juBK8sPz5totDrPAK4A3j5gXgD/wvBfN/8+xY/qDfIjig9gg/wFcEX5gb3fwcDHgKcOWXcl\nez1wWaPVeTHFDwDO1fNy4Fu9C5Yh7BsUP1zYO301cA3Fr7h/o6eNV1P8cOIrgBt57Hn0ReBf+/rx\nnbINgN8q1/vd8vG/Al/q2d4ewNcoata//YuAbzZanceVi/87xQ8g3kTxo4ez6gPA1eUH4163UASf\nOddS7LPr6NtfjVbnacCVwF/2tfEu4Koy0Pbqlu1QButvUPww5dpyu71t7w9cDby/r42zKF63x/Q9\n/75b9pNGq3M88FXgT4DvUfy4pzZ1I0U9FnI95X4ds81h/zf0u7a8jdRodfameG1/dMx2Jc04z2Rp\nper/wNbraeX94wfM26O8P2zE+kv57YStRsybC3u7L6HdlezA8n5fNg2Zg2ozF1yO7pu+ZXn/LIoz\nRnMOKO/7nyfHDOlLo7zfv7x/cs+83m1uX94fNWD7D5f/7n3f3XnI9mbJkeX9TmMsO/ca2W7I9P4D\nJ8Ne69sM+Pczh2xzl/L+iL7pc8/DJwBzZ6+P7tvW3uX9wUPa1vh2WXiRJXvCGMvsWN4fOXIpSSp5\nJkuSJEmSMjJkSZIkSVJGhixJkiRJysiQJUmSJEkZGbKk6RZVd2CFW+r+tS5azHPA54skzRhDljS+\nKj8opQq3LUmSpEUwZEmaZUsNr4ZeLeY54PNFkmaMIUuSJEmSMjJkSZIkSVJGhixJkiRJysiQJUmS\nJEkZGbKk6ebQz5PlEO5aKodwlyQNZciSxucQ7jOi0er4oViSJC2ZIUvSLHMIdy2VQ7hLkoYyZEmS\nJElSRoYsSZIkScrIkCVJkiRJGRmyJM0yRxfUUjm6oCRpKEOWNN38cDYZVQ544SAI+VW5T0dt21pL\n0owyZEnjM/CsHAvVctj8X0zfjGHefR7lV+U+HbVtay1JM8qQJdWDR8QnwyHctVQO4S5JGsqQJUmS\nJEkZGbIkSZIkKSNDlqRZ5veqtFSOLihJGsqQJUmSJEkZGbIkzSKHcF9ZHMJdkjRVDFnS+Kq45MfL\njCZjs4dwH6ONpW5bi+cQ7pKkqWLIkurBI+KT4RDuWiqHcJckDWXIkiRJkqSMDFmSJEmSlJEhS9Is\n83tVWiqHcJckDWXIkjSLHF1wZXF0QUnSVDFkSZIkSVJGq6ruwOZotDr/C/j1qvtRsTd2282Lqu7E\njHAI9/oZZyj2pa43Tm0GLWNN83MId2mZNVqdw4BO1f2o2Le77eavVt2JSWq0Ov8PcE7V/ajYF7rt\n5msXu1KtQxawFri06k5UbH3VHdCy8LKjyXAIdy2VQ7hr1m3Ez2A/rLoDy+B2rPO1S1mp1iGr225+\nFPho1f2QJEmaJd12swu8qup+aLK67ea/Yp2XxO9kSZplji6opXJ0QUnSUIYsSZIkScrIkCVpFjmE\n+8riEO6SpKliyJIkSZKkjAxZ0vgcwr1+HMJ9NjiEuyRpqhiypHrwsqPJcAh3LZVDuEuShjJkSZIk\nSVJGhixJs8wh3LVUDuEuSRrKkCVpFnmZ4Mri6IKSpKliyJIkSZKkjAxZkiRJkpSRIUuzKPruFzsv\ntyq2WQej9su4yy40faH2Rk0f5/nTe7+Yv2eW5Ngvi63/YpYZZ/5Sn2eqD1+/khbFkCXVg9/tkCRJ\nqglDlmZR6rsfd96kVLHNOljMfllo2eXat8P6kZaxD3WT8/k/aL8v1Pa4z53NaUP1Z40lLYohS5Ik\nSZIyMmRJmkUO4b6yOIS7JGmqGLIkSZIkKSNDliRJkiRlZMjSLHII93pwCPfZ4BDuqgNfv5IWxZAl\nSZIkSRkZsjSL6jiE+yx+gd4h3GeDQ7irDqyxpEUxZEmaRY4uuLI4uqAkaaoYsiRJkiQpI0OWJEmS\nJGVkyJIkSZKkjAxZmkUO4V4PI4dMbrQ6g4ZTdwj3+nEId9WBr19Ji2LIkiRJkqSMDFmaRQ7hXg+T\nHMJ9UqMLOoT74uV4zY3a7wu1vblDuKcRy1jzlcMh3CUtiiFLkiRJkjIyZEmSJElSRoYsSZIkScrI\nkCVJkiRJGUVKfodT063R6rwQ2HPArI+W92csct7/BrYCPgj8a9+8XwZ+D7gHeGPfvK2BDyxxpZ1/\n7AAAEEFJREFUm6PmvQ/YFjgH+EbfvMOBNwDP7Lab3xyw7orRaHVOBXbsmfQm4EDgYuDkctoZPLYv\nX8NjX0LfFfjLnmXmPA54f9+mzgD+ADgKuAJ47oC2/xB4sPx3b+1eDTybok7nUjyXere5J/C2nmmD\ntn8mcG9Pu739+nS33bybFazR6pwObNkzaW4//CXwgwHTz+h7TN90KGr5B8ADwOt7pn+43NbZwL8N\naXsN8L9GtH0Q8N8HTH8XsBPwMWAtjz3/ett4AfAK4Cc89h52BnBut918lBWq0eo8DvjNMRcf9d64\nlOUmtey+wFsW0e793Xbz/xtjOUkrlCFLU6/R6vwT8CtV96NCjwIHdNvNH1bdkUlqtDo/AA6ouh8V\n27/bbt5YdScmqdHqPEBxwGKWre62mw9V3YlJabQ6uwG3Vd2Piq3vtpuDDg5KmhGrqu6ANIZXMvhD\n2dzR8EcGzAuKs1UPDpgHsHoC87Yq+zLoCHVQvN6GfbAa1e693XbzjiHzVpLjmP+eNLdfeus5rLbD\n9uGgNnqn9z+P+ttZTVG3NGD+oG0OWn/Q8nPtblH27WGKMx4r3VMGTBu0H/tfM3P7ays2rceoNka1\nPei5sBVFHZbS9kLPs973h4cHtLWS3EFx5mcco97Hey30nr6UNmH+63uhZcfZPgz+f0DSDPFMliRJ\nkiRl5MAXkiRJkpSRIUuSJEmSMjJkSZIkSVJGhixJkiRJysiQJUmSJEkZGbIkSZIkKSNDliRJkiRl\nZMiSJEmSpIwMWZIkSZKUkSFLkiRJkjIyZEmSJElSRoYsSZIkScrIkCVJkiRJGRmyJEmSJCkjQ5Yk\nSZIkZWTIkiRJkqSMDFmSJEmSlJEhS5IkSZIyMmRJkiRJUkaGLEmSJEnKyJAlSZIkSRkZsiRJkiQp\nI0OWJEmSJGVkyJIkSZKkjAxZkiRJkpSRIUuSJEmSMjJkSZIkSVJGhixJkiRJysiQJUmSJEkZGbIk\nSZIkKaOZCFkRcXFEnFb++/SIuLLqPik/6zwbrPPKZ41ng3WeDdZ5Nljn+WoTsiLi2Ii4OiLuiog7\nIuKqiDh6nHVTSienlM6bdB/HERHHR8S6MZY7MiIuj4iNEXFrRJw5YtkTIuL6iLgvIr4SEfvl7fXy\nsc6D6xwRqyPiMxHRjYgUEcdn7/Qyss5D6/ysiPhyuU9uj4hPR8Se+Xs+edZ4aI0PiYhrIuLO8nZJ\nRBySv+fLwzoP/7+5Z523lO/bJ+bp7fKzzkNfz42ytht7bm/O3/PlYZ1HftbeNiI+GBE/LffP5Qu1\nX4uQFRE7Av8IvB/YBdgbOAv4eZX9mpSIeDzwBeDDwK7AAcCXRix7EfBmin1zDfCp5elpXtZ5eJ1L\nVwK/DayffO8mxzqPrPPOwDlAA9gPuAc4d/K9zMsaj6zxLcArgMeXt88Bn1yGbmZnnRd8zyYi9gdO\nBX4y8Q5OiHVeuM7ATiml7cvb2ybdx0mwzgvW+RyK/XJwef/GBTeSUpr6G/AMYMOI+acDVwFnA3cB\n1wMn9My/DDijZ9kre+b9FcWH1zXl41cDa4E7gS8C+5XTA3g3cBtwN3AtcNiQ/ryqbOMe4EbgteX0\n7YD7gUeBjeVtrwHrvwM4f8x98/vA1T2P57ZxUNV1s8756ty33jrg+KrrZZ0nW+dy3SOBe6qumTWe\n2Gt5FfA64L6qa2adJ1Nnig9xLwS6wIlV18w6Z/8M1gASsKrqOlnnidb5oLI/Oy5mn9biTBbwfeCR\niDgvIk6OiJ0HLHMMcAPFkcE/By6KiF2GNRgRW0TER4DDgZNSSndFxCnAnwIvBXYDrgAuKFc5CTgO\neCqwBng58LMhzd8GvAjYkeJJ8O6IODKldC9wMnBLeuyIxy0D1n8WcEd5yva2iPiHiNh3yLYOBb49\n96Dcxn+U0+vGOg+v80pincev83HAdWMuO02s8QI1jogNwAMUR43fMWrZKWadR9Q5Ik4Ffp5S+vyw\nZWrCOi/8nn1TRKyLiHPLMyR1ZJ2H1/mZwE3AWeXlgtdGxMuG/d1zahGyUkp3A8dSHC34CHB7RHwu\nIvboWew24D0ppYdSSp8Cvgc0hzS5FUVBdwFenFK6r5z+n4G/SCmtTSk9TPEf3xFRfMfpIWAHijQb\n5TIDT/+nlDoppRtS4asUpx+fu4g/eR/gNOBMYF/ghzz2BOy3PcURhV53l32tFes8ss4rhnUer84R\ncTjwFuBNi9jWVLDGC9c4pbQTxYeI1wPfWsS2poZ1Hl7niNih7OeC39madtZ55Ov5p8DRFJd3H1X2\n8ROL2NbUsM4j67wPcBjF5+29KN63z4uIg0dtoBYhC6Dc0aenlOb+0L2A9/QscnNKxTm90k3lMoMc\nAJwCnJVSerBn+n7AeyNiQ3mU8Q6KU5d7p5QupThF+gHgtog4J4rrV+cpjwB8LYovDW6guFRgMUc2\n7gc+m1L6ZkrpAYprYp8dEWsGLLuRIsX3WkNx+rR2rPPQOq8o1nl0nSPiAOBi4MyU0hWL2NbUsMYL\nv5ZTccT1Q8DHI2L3RWxvaljnoXV+K8WlSN1FtD+1rPPgOqeUNqaUrkkpPZxSupXiw/dJZciuHes8\n9PV8P0UAfHtK6cEy1H2F4szbULUJWb1SStcDH6N4AszZOyKi5/G+FF8wHmQtxanFiyPiwJ7pP6a4\npnOnntvjUkpXl9t9X0rpKOAQilOZ844wR8TWwN8B7wL2KI9Wfp7iCQTFEYKFfKdvuVHrXAc8rWf7\n2wH7U89LjDZhnWeDdZ63zf2AS4C3pZTOH6P9qWeNR9oC2JbiS+a1Zp03cQLwhohYHxHrgScCF0bE\nH4+xnalmnUeaW7aWn697Wed5y/ZbcBu1eBJExEER8UcRsU/5+InAK4Gv9Sy2O8Ub2lZRXAd9MMUO\nHyildAHFNaGXRDH6DxRHFP8kIg4tt7OmbIuIODoijomIrYB7Ka6lf3RA06uBrYHbgYcj4mQ2Tbq3\nArsucITzXOAlEXFEub03U3yB8K6yL5dFxFvLZT8LHBYRL4uIbSiukf12+eKoFes8ss5ExNZljQFW\nR8Q2fW92tWCdh9c5IvYGLgXOTil9aESbU80aj6zxCyLi6RGxZXmE9q8pvvy9dkT7U8k6j3zPPoHi\nw+kR5e0W4LUUR+hrxTqPfD0fExEHRvHdo12B9wGXzS1bJ9Z55Ov5cuBHZb9XRcRzgOdTDNoxXJqC\nEU0WulEc4bsQuLnc6TdTDLm4Yxo84sn3Kb5gN86IJ6+hON3ZKB//DsVoJndTpO2/LaefQJFkN1Jc\ng/sJYPsh/X1dWeANwPkUw/O+vWf+31J8kW8DA0Y8KZf5g/LvvBP4B+CJPfNuAF7Q8/hEilFe7i//\n1kbVNbPOE6lzl+LISe+tdrW2zsPrTHGQJPHYiEgbgY1V18waZ63xqRTv1xspPiB0gMOrrpl1zv+e\n3bdel/qOLmidh7+eX0nxXZ57KYbp/zjwhKprZp0n8hnsUOCfy33zXeAlC+3TKFestYg4naKwx1bd\nl0krjzBcmFJ6dtV9WW7WeTZY55XPGs8G6zwbrPNssM6LtypTf7RMUkrrgJl7cc8a6zwbrPPKZ41n\ng3WeDdZ5NuSqcy2+kyVJkiRJdbEiLheUJEmSpGnhmSxJkiRJysiQJUmSJEkZGbIkSZIkKSNDlmqn\n0epEo9X5zUars3Xf9J0arc5LByx/UKPVmTdKTKPVOb7R6jx5wPTfaLQ62/ZN26HR6pw6YNmnNFqd\necOZNlqd5zZanQMGTD+10eps3zdt20ar84oByz650eo8r3+6JEmSppshS3V0MsUP1L29b/ongL9r\ntDpP6pu+luIH9Pp9heLH5n6hDEwXAO/uW/YjwIWNVufwvunfB64Y0PblwA/62j6C4of+Pty37HuB\nTw4IgjdQ/LifJEmSasSQpTraubzfq2/63FmpbTaj7TXl/T590/cr77fbjLZ3KO/37Zu+b998SZIk\n1ZghS5IkSZIyMmRJkiRJUkaGLEmSJEnKyJAlSZIkSRkZslRnUXUHJEmSpH6GLEmSJEnKyJClOktV\nd0CSJEnqZ8iSJEmSpIwMWZIkSZKUkSFLkiRJkjIyZEmSJElSRoYs1ZlDuEuSJGnqGLIkSZIkKSND\nlurMIdwlSZI0dQxZkiRJkpSRIUuSJEmSMjJkSZIkSVJGhizVmaMLSpIkaeoYslRHVQ544WAbkiRJ\nGsmQpTqq8gyWZ88kSZI0kiFLdeZZJUmSJE0dQ5YkSZIkZWTIkiRJkqSMDFmqM78fJUmSpKljyJIk\nSZKkjAxZqiOHcJckSdLUMmSpjhzCXZIkSVPLkKU686ySJEmSpo4hS5IkSZIyMmRJkiRJUkaGLNWZ\n34+SJEnS1DFkqY4cXVCSJElTy5AlSZIkSRmtqroDm6PR6pwLnFZ1Pyp2WrfdPL/qTiwzh3BfgRqt\nzveBA6ruR8UO6LabN1bdiUlqtDr3A1tX3Y+Kbd1tNx+quhOT0mh1dgNurbofFVvfbTf3qroTk9Ro\ndY4Erqm6HxX7ZrfdPKbqTkxSo9X5NeCiqvtRsYu67eavL3alWocs4B+AH1fdiYpdW3UHKuSleyvL\nB4Fdqu5ExTZU3YFl8BfU//+ezfVo1R2YsPuAt1fdiYptrLoDy2A91vnmqjuwDL6Hdf7uUlaq9X90\n3XbzIkzX0orQbTffU3UfNHnddvP/rboPmqxuu3kv8Jaq+6HJ6rabt2CdV7xuu7kW67wkfidLdeal\ne5IkSZo6hizVkaMLSpIkaWoZsiRJkiQpI0OWJEmSJGVkyFIdOYS7JEmSppYhS3Xm96MkSZI0dQxZ\nqjPPKkmSJGnqGLIkSZIkKSNDlurIIdwlSZI0tQxZkiRJkpSRIUuSJEmSMjJkqY4cwl2SJElTy5Cl\nOvP7UZIkSZo6hizVmWeVJEmSNHUMWaojRxeUJEnS1DJkSZIkSVJGhixJkiRJysiQJUmSJEkZGbJU\nR8MGvIgF5i+m7f42pr1tSZIkTQlDliRJkiRlZMjSSpL67nO2kWNUwYXaduRCSZKkFcCQpTpyCHdJ\nkiRNLUOWJEmSJGVkyJIkSZKkjAxZkiRJkpSRIUt15BDukiRJmlqGLEmSJEnKyJClOho2wt9yDOE+\nrW1LkiRpShiyJEmSJCkjQ5YkSZIkZWTIkiRJkqSMDFmSJEmSlFGk5HftNd0arc5pwJN6Jj0POB74\nOdDumf7n5f1HgZsHTD+rr+lB058BNAdMn1v2AuD7S2z7YODlI9r+HPCtIW18rNtudpEkSdLUM2Rp\n6jVanX8CfqXqflTs+G67+dWqOyFJkqSFGbIkSZIkKSO/kyVJkiRJGRmyJEmSJCkjQ5YkSZIkZWTI\nkiRJkqSMDFmSJEmSlJEhS5IkSZIyMmRJkiRJUkaGLEmSJEnKyJAlSZIkSRkZsiRJkiQpI0OWJEmS\nJGVkyJIkSZKkjAxZkiRJkpSRIUuSJEmSMjJkSZIkSVJGhixJkiRJysiQJUmSJEkZGbIkSZIkKSND\nliRJkiRlZMiSJEmSpIwMWZIkSZKUkSFLkiRJkjIyZEmSJElSRoYsSZIkScrIkCVJkiRJGRmyJEmS\nJCmj/wsp2onqg07DIQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11d654f28>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#fig, axes = plt.subplots(ncols=l2_neurons_x, nrows=l2_neurons_y, figsize=(10,10))\n",
    "fig=plt.figure(figsize=(12,12))\n",
    "fig.set_tight_layout({5,2,5})\n",
    "\n",
    "for y in range(l2_neurons_y):\n",
    "    for x in range(l2_neurons_x):\n",
    "        index=(y)*l2_neurons_x+x+1\n",
    "        id = \"{}{}{}\".format(l2_neurons_y, l2_neurons_x,index)\n",
    "        a=fig.add_subplot(l2_neurons_y, l2_neurons_x, index)\n",
    "        a.plot(l2_neurons[y][x].time, l2_neurons[y][x].spikes)\n",
    "        a.axis('off')\n",
    "        plt.title('Spikes at {},{}'.format(y,x))\n",
    "        \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "## "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}