Implementation of Spiking Neural Networks (SNNs) using SpykeTorch, featuring STDP and R-STDP training methods for efficient neural computation.
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Updated
Oct 20, 2024 - Python
Implementation of Spiking Neural Networks (SNNs) using SpykeTorch, featuring STDP and R-STDP training methods for efficient neural computation.
Simulation of spiking neural networks (SNNs) using PyTorch.
Spiking neural network framework implementing classification layers based on first-spike coding, event-driven processing, and supervised STDP training.
Explores neural coding schemes and learning mechanisms in neuroscience using STDP and RSTDP models for synaptic plasticity.
personal repository
Framework for machine learning with spiking neural networks
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Malleable spiking neural network framework and training platform.
Auryn: A fast simulator for spiking neural networks with synaptic plasticity
High-performance Spiking Neural Networks Library Written From Scratch with C++ and Python Interfaces.
Accelerated SNN simulator for neuromorphic computing and research in Python
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Convolutional spiking neural network implementing voltage-dependent synaptic plasticity and single-spike integrate-and-fire neurons
Repo of the bachelor thesis 'Dynamic memory traces for sequence learning in spiking networks'
Convolutional spiking neural network implementing STDP
Implementation of some of the basic neural models and simulation of interactions between neurons in a population and learning process from scratch in Python.
A simulation of unsupervised (STDP) and reinforcement learning (Reward-based STDP) in human brain
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