Simulation of spiking neural networks (SNNs) using PyTorch.

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

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

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

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

personal repository

spiking-neural-networks

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.

Repository for the master thesis titled "Local Unsupervised Learning of Multimodal Event-Based Data with Spiking Neural Networks", by Julian Lopez Gordillo (MSc in Artificial Intelligence, 2019-2021).

Nuerapse simulations for SNNs

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

Convolutional spiking neural network implementing STDP

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

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

Convolutional spiking neural network implementing voltage-dependent synaptic plasticity and single-spike integrate-and-fire neurons

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…

STDP implementation for Nengo and single layer network

Convolutional Spiking Neural Network to recognize speech utterances using Spike-Timing-Dependent Plasticity

Malleable spiking neural network framework and training platform.

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