BrainCog-X / Brain-CogView external linksLinks
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…
☆602Nov 6, 2025Updated 3 months ago
Alternatives and similar repositories for Brain-Cog
Users that are interested in Brain-Cog are comparing it to the libraries listed below
Sorting:
- SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.☆1,900Updated this week
- Brain Dynamics Programming in Python☆656Jan 21, 2026Updated 3 weeks ago
- Preprocessing and baseline for N-Omniglot. Details can be found at https://www.nature.com/articles/s41597-022-01851-z..☆19Apr 12, 2023Updated 2 years ago
- Update arXiv papers about Spiking Neural Networks daily.☆476Jan 14, 2026Updated 3 weeks ago
- 🔥 This repository compiles research papers (from top-tier conferences and journals) and code implementations in the field of Spiking Ne…☆422Feb 6, 2026Updated last week
- Spikingformer: A Key Foundation Model for Spiking Neural Networks (AAAI 2026)☆125Nov 21, 2025Updated 2 months ago
- PyTorch implementation of SLAYER for training Spiking Neural Networks☆325May 30, 2025Updated 8 months ago
- Deep and online learning with spiking neural networks in Python☆1,864Nov 4, 2025Updated 3 months ago
- ☆258May 8, 2021Updated 4 years ago
- This repository contains code from our paper Efficient and Accurate Conversion of Spiking Neural Network with Burst Spikes, published in …☆20Apr 29, 2022Updated 3 years ago
- Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks☆117Aug 9, 2022Updated 3 years ago
- Simulation of spiking neural networks (SNNs) using PyTorch.☆1,654Updated this week
- GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks, NeurIPS 2022 Poster☆54Feb 18, 2023Updated 2 years ago
- High-speed simulator of convolutional spiking neural networks with at most one spike per neuron.☆397Sep 7, 2021Updated 4 years ago
- The source code for the paper entitled "A Tandem Learning Rule for Effective Training and Rapid Inference of Deep Spiking Neural Networks…☆14Jul 4, 2021Updated 4 years ago
- ICLR 2023, Spikformer: When Spiking Neural Network Meets Transformer☆389Jan 23, 2024Updated 2 years ago
- ☆50Dec 2, 2023Updated 2 years ago
- Brian is a free, open source simulator for spiking neural networks.☆1,118Feb 5, 2026Updated last week
- Offical implementation of "Attention Spiking Neural Networks" (IEEE T-PAMI2023)☆88May 20, 2024Updated last year
- Offical implementation of "Spike-driven Transformer" (NeurIPS2023)☆301Mar 18, 2024Updated last year
- SyOPs counter for spiking neural networks☆72May 6, 2023Updated 2 years ago
- Offical code of "QKFormer: Hierarchical Spiking Transformer using Q-K Attention" (NeurIPS 2024)☆139Jan 2, 2025Updated last year
- An event-driven learning algorithm for spiking neural networks☆30May 15, 2024Updated last year
- Deep learning with spiking neural networks (SNNs) in PyTorch.☆787Feb 4, 2026Updated last week
- Pytorch Implementation of Spiking Neural Networks Calibration, ICML 2021☆92May 9, 2024Updated last year
- Pure python implementation of SNN☆1,170Jul 29, 2022Updated 3 years ago
- ☆19Mar 10, 2022Updated 3 years ago
- Pytorch implementation of Neuromorphic Data Augmentation for SNN, Accepted to ECCV 2022.☆44Dec 12, 2022Updated 3 years ago
- A PyTorch implementation of Spiking-YOLOv3. Two branches are provided, based on two common PyTorch implementation of YOLOv3(ultralytics/y…☆222Mar 23, 2021Updated 4 years ago
- In this repo, Spiking recurrent neural network is applied on various task for ICONs2020☆30Dec 17, 2020Updated 5 years ago
- STSC-SNN: Spatio-Temporal Synaptic Connection with temporal convolution and attention for spiking neural networks☆23Dec 24, 2022Updated 3 years ago
- A deep learning library for spiking neural networks which is based on PyTorch, focuses on fast training and supports inference on neuromo…☆108Feb 5, 2026Updated last week
- Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks☆34Dec 3, 2021Updated 4 years ago
- ☆71Aug 17, 2023Updated 2 years ago
- Enhancing the Performance of Transformer-based Spiking Neural Networks by SNN-optimized Downsampling with Precise Gradient Backpropagatio…☆46Jul 2, 2024Updated last year
- [TNNLS 2024] Implementation of "TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks"☆63Apr 16, 2024Updated last year
- ☆60Aug 31, 2023Updated 2 years ago
- Offical implementation of "Spike-driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation …☆217May 10, 2024Updated last year
- Neural Architecture Search for Spiking Neural Networks, ECCV2022☆73Jul 19, 2022Updated 3 years ago