Simulation of spiking neural networks (SNNs) using PyTorch.

SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.

Deep and online learning with spiking neural networks in Python

Pure python implementation of SNN

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

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

Brain Dynamics Programming in Python

Brain-inspired Cognitive Intelligence Engine (BrainCog) is a brain-inspired spiking neural network based platform for Brain-inspired Artificial Intelligence and simulating brains at multiple scales. The long term goal of BrainCog is to provide a comprehensive theory and system to decode the mechanisms and principles of human intelligence and its…

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

🔥 This repo collects top international conference papers, codes about Spiking Neural Networks. 本仓库收集了脉冲神经网络领域的顶会顶刊论文和代码，正在持续更新中。

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.

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

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.

Offical implementation of "Spike-driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation Neuromorphic Chips" (ICLR2024)

NGC-Learn: Neurobiological Learning and Biomimetic Systems Simulation in Python

Spiking Neural Networks in C with strong GPU acceleration through CUDA

Offical implementation of "Integer-Valued Training and Spike-Driven Inference Spiking Neural Network for High-performance and Energy-efficient Object Detection" (ECCV2024 Best Paper Candidate / Oral)

Event-Based Angular Velocity Regression with Spiking Networks

Spyx: Spiking Neural Networks in JAX