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PyTorch Implementation of Exploring Temporal Information Dynamics in Spiking Neural Networks (AAAI23)

A powerful Python package for simulating spiking neural networks (SNNs) using PyTorch with GPU acceleration.

A modular spike sorter written in Python and PyTorch

Collection of templates and examples for implementing spiking neural networks in plain PyTorch.

[PokerEvent Benchmark Dataset & SNN-ANN Baseline, IEEE TCDS 2025] Official PyTorch implementation of "SSTFormer: Bridging Spiking Neural Network and Memory Support Transformer for Frame-Event based Recognition"

Pytorch implementation of Spiking Neural Networks for Human Activity Recognition.

PyTorch Implementation of Online Training of Spiking Recurrent Neural Networks with Phase-Change Memory Synapses

Pytorch implementation of SEENN (Spiking Early Exit Neural Networks) (NeurIPS 2023)

Official Pytorch implementation of the AAAI 2025 "Spiking Point Transformer for Point Cloud Classification"

An experimental CUDA-enabled, PyTorch-compatible Python library inspired by the Spiking Manifesto (E. Izhikevich), implementing differentiable lookup tables as a simple instrument to model spike polychronization.