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lif_sample.py
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lif_sample.py
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from spine import LIF
from spine.tools import PoissonSpike, plot_spike_scatter, random
import numpy as np
import matplotlib.pyplot as plt
if __name__ == '__main__':
time = 500 # ms
dt = 0.5 # time step
pre_neurons = 100
# Input data from Poisson Spike Gen.
spikes = PoissonSpike(np.random.random(pre_neurons),
time=time,
dt=dt).spikes
# random weights whose size is the same as spikes
weights = random.U(pre_neurons, -0.05, 0.1) # U[-0.05, 0.1]
neu = LIF(time=time,
dt=dt,
tau=(10, 2) # time constants of filter
)
v, s, f = neu.calc_v((spikes, weights))
# Plot
t = np.arange(0, time, dt)
plt.subplot(2, 1, 1)
plot_spike_scatter(spikes, time, dt, title='input spike trains', xlabel=None)
plt.subplot(2, 1, 2)
plt.plot(t, v)
plt.plot(t, np.full_like(t, neu.th), linestyle='dashed')
plt.ylabel('Membrane Voltage [mV]')
plt.xlabel('time [ms]')
plt.xlim(0, time)
plt.show()