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PyTorch Implementation of Spiking Transformer with Spatial-Temporal Attention (CVPR 2025)

Pytorch implementation of TSSL-BP rule for Deep Spiking Neural Networks.

A PyTorch implementation of EventProp [https://arxiv.org/abs/2009.08378], a method to train Spiking Neural Networks

PyTorch and Loihi implementation of the Spiking Neural Network for decoding EEG on Neuromorphic Hardware

Simulation of spiking neural networks (SNNs) using PyTorch.

Spiking neuron integration for PyTorch

Official PyTorch implementation for the following paper: Spiking PointNet: Spiking Neural Networks for Point Clouds.

This project used STBP-tdBN method to directly train Deep Spiking Neural Networks from scratch with PyTorch

NeuroMorphic Predictive Model with Spiking Neural Networks (SNN) using Pytorch

PyTorch based toolkit for developing spiking neural networks (SNNs) by training and testing them on speech command recognition tasks