Simulation of spiking neural networks (SNNs) using PyTorch.

Pure python implementation of SNN

Brian is a free, open source simulator for spiking neural networks.

Toolbox for converting analog to spiking neural networks (ANN to SNN), and running them in a spiking neuron simulator.

GeNN is a GPU-enhanced Neuronal Network simulation environment based on code generation for Nvidia CUDA.

What about coding a Spiking Neural Network using an automatic differentiation framework? In SNNs, there is a time axis and the neural network sees data throughout time, and activation functions are instead spikes that are raised past a certain pre-activation threshold. Pre-activation values constantly fades if neurons aren't excited enough.

Deep learning with spiking neural networks (SNNs) in PyTorch.

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

Using spiking neurons and spike-timing-dependent plasticity to classify the MNIST handwritten digits.

Experiments with spiking neural networks (SNNs) in PyTorch. See https://github.com/BINDS-LAB-UMASS/bindsnet for the successor to this project.

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

CARLsim is an efficient, easy-to-use, GPU-accelerated software framework for simulating large-scale spiking neural network (SNN) models with a high degree of biological detail.

Deep learning integration for Nengo

CARLsim is an efficient, easy-to-use, GPU-accelerated software framework for simulating large-scale spiking neural network (SNN) models with a high degree of biological detail.

Spiking Neural Networks in C++ with strong GPU acceleration through CUDA

Event-Based Angular Velocity Regression with Spiking Networks

TUM Master’s thesis: Steering a robot with an event-based vision sensor in a lane-keeping task using methods such as Deep Reinforcement Learning or Spiking Neural Networks.

Basic SNN propogating spikes between LIF neurons

The Spiking Reservoir (Liquid State Machine - LSM) Simulator

Simulation of spiking neural networks (SNNs) using PyTorch.

Brian 2 frontend to the GeNN simulator

Liquid State Machines in Python and NEST

Long short-term memory Spiking Neural Networks

Spiking neural network system

Python library for easy creation and running of spiking neural networks in tensorflow.

Synaptic Plasticity with Online Reinforcement learning

spiking-neural-networks

Implementation of a Spiking Neural Network in Tensorflow.

Some of my initial studies using spiking neural networks and Python

This repository will host models, modules, algorithms and applications developed by the INRC Community to run on the Intel Loihi Platform.