xychen-comp / Hybrid-Coding-SNN
☆16Updated 5 months ago
Related projects ⓘ
Alternatives and complementary repositories for Hybrid-Coding-SNN
- ☆19Updated 2 years ago
- ☆30Updated 11 months ago
- A Spiking Neural Network encoder for time series data☆20Updated 3 years ago
- In this repo, Spiking recurrent neural network is applied on various task for ICONs2020☆28Updated 3 years ago
- [TNNLS 2024] Implementation of "TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks"☆46Updated 7 months ago
- Two-Compartment Leaky Integrate-and-Fire Model☆13Updated 2 months ago
- Spiking neural networks (SNNs) for speech classification☆13Updated 2 years ago
- PyTorch based toolkit for developing spiking neural networks (SNNs) by training and testing them on speech command recognition tasks☆21Updated 6 months ago
- Pytorch implementation of Spiking Neural Networks for Human Activity Recognition.☆17Updated last year
- GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks, NeurIPS 2022 Poster☆49Updated last year
- PyTorch Implementation of Exploring Temporal Information Dynamics in Spiking Neural Networks (AAAI23)☆22Updated last year
- Pytorch implementation of Neuromorphic Data Augmentation for SNN, Accepted to ECCV 2022.☆36Updated last year
- Supervised Spiking Network☆79Updated 2 years ago
- BNTT - Frontiers in Neuroscience (2021)☆47Updated 3 years ago
- Create a new backward path for more accurate SNN gradients.☆13Updated 3 months ago
- Official code of "AutoSNN: Towards Energy-Efficient Spiking Neural Networks," ICML22☆17Updated 2 years ago
- Membrane Potential Batch Normalization for Spiking Neural Networks☆19Updated last year
- Spikingformer: Spike-driven Residual Learning for Transformer-based Spiking Neural Network☆81Updated last month
- The source code for the paper entitled "A Tandem Learning Rule for Effective Training and Rapid Inference of Deep Spiking Neural Networks…☆12Updated 3 years ago
- This repository contains an implementation of the SNN algorithm NeuCube for EEG brain data classification.☆22Updated 6 years ago
- This project contains code for the paper titled "SpikingBERT: Distilling BERT to Train Spiking Language Models Using Implicit Differentia…☆12Updated 9 months ago
- PyTorch and Loihi implementation of the Spiking Neural Network for decoding EEG on Neuromorphic Hardware☆35Updated 2 years ago
- Pytorch Implementation of Signed Neuron with Memory: Towards Simple, Accurate and High-Efficient ANN-SNN Conversion, IJCAI 2022☆22Updated last year
- Implementation of the paper Keys to Accurate Feature Extraction Using Residual Spiking Neural Networks☆26Updated 10 months ago
- Enhancing the Performance of Transformer-based Spiking Neural Networks by SNN-optimized Downsampling with Precise Gradient Backpropagatio…☆37Updated 4 months ago
- ☆45Updated 10 months ago
- [ICASSP2022] RATE CODING OR DIRECT CODING: WHICH ONE IS BETTER FOR ACCURATE, ROBUST, and ENERGY-EFFICIENT SPIKING NEURAL NETWORKS☆19Updated last year
- ☆47Updated last year
- Deep Residual Learning in Spiking Neural Networks☆149Updated 2 years ago
- ☆40Updated 2 years ago