stdp

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.

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

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

Convolutional spiking neural network implementing STDP

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

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

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

CPU-based spiking neural network framework for classification layers employing first-spike coding and supervised STDP training.

A Computational Substrate for Self-Organizing Biologically-Plausible AI

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

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…