This repository is a curated list of papers, code, and related resources for Spiking Neural Networks (SNNs). It serves researchers and engineers interested in the latest advancements in neuromorphic computing and event-driven AI, providing a comprehensive overview of the SNN field.

How It Works

This project functions as a dynamic bibliography, continuously updated with recent publications from top-tier AI conferences and journals. It categorizes papers by year and venue, often linking directly to both the research paper and its associated code repository, facilitating quick access to implementations and further study.

Quick Start & Requirements

This repository does not provide direct installation or execution commands as it is a curated list of external resources. Users will need to follow the links provided for each paper and its associated code to set up and run any specific SNN implementations.

Highlighted Details

• Actively updated with papers from major conferences like NeurIPS, ICLR, CVPR, ICML, and AAAI, including recent 2025 submissions.
• Provides direct links to research papers and, where available, associated code repositories for many entries.
• Includes a citation for a review paper on direct training of SNNs, offering a theoretical foundation.

Maintenance & Community

The repository is maintained by zhouchenlin2096 and is open to contributions via pull requests for overlooked SNN papers.

Licensing & Compatibility

The licensing of individual papers and code repositories linked within this list varies. Users must consult the specific licenses of each linked resource for usage and compatibility information.

Limitations & Caveats

This repository is a collection of links and does not host any code itself. The availability and functionality of linked code repositories are external to this project. The content is focused on research papers and may not represent production-ready SNN implementations.