Simulation of spiking neural networks (SNNs) using PyTorch.

Auryn: A fast simulator for spiking neural networks with synaptic plasticity

Efficient Spiking Neural Network framework, built on top of PyTorch for GPU acceleration

personal repository

Code for the model presented in the paper "A Biologically Plausible Supervised Learning Method for Spiking Neural Networks Using the Symmetric STDP Rule"

spiking-neural-networks

A curated list of awesome cns frameworks, libraries, and software + First class pure python Tutorial Series for Spiking Neural Networks 🔥

Nuerapse simulations for SNNs

This is a repository with implementations of neuron models, synapses, and spiking neural networks (SNN). It's still in development and it has original content in terms of code.

STDP implementation for Nengo and single layer network

A generalizable model of spike-timing dependent plasticity for the Neural Simulation Tool (NEST).

A Spiking Neural Network model for Digit Recognition using the N-MNIST dataset.

High-performance Spiking Neural Networks Library Written From Scratch with C++ and Python Interfaces.

Neuron++ is a library which wraps NEURON (http://www.neuron.yale.edu) with easy to use Python objects.

Spiking neural networks are biologically plausible CNNs which learn through a temporally dependent learning method known as Spike Time Dependant Plasticity (STDP)- an alternate to gradient descent. This repository contains layers built on top of Lasagne layers for spiking neural networks. This is the first implementation of spiking neural networ…

Spiking neural network simulator

Implementation of some of the basic neural models and simulation of interactions between neurons in a population and learning process from scratch in Python.

Fast convergence of cerebellar learning (Luque et al. 2015)

Implementation of Spiking Neural Networks (SNNs) using SpykeTorch, featuring STDP and R-STDP training methods for efficient neural computation.

Convolutional spiking neural network implementing STDP