aa-samad / conv_snnLinks
Code for "Convolutional spiking neural networks (SNN) for spatio-temporal feature extraction" paper
☆132Updated 4 years ago
Alternatives and similar repositories for conv_snn
Users that are interested in conv_snn are comparing it to the libraries listed below
Sorting:
- Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks☆110Updated 3 years ago
- Pytorch implementation of TSSL-BP rule for Deep Spiking Neural Networks.☆71Updated last year
- Deep Residual Learning in Spiking Neural Networks☆173Updated 3 years ago
- Paper list for SNN based computer vision tasks.☆128Updated 11 months ago
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆102Updated 4 years ago
- Spatio-temporal BP for SNNs☆231Updated 3 years ago
- In this repo, Spiking recurrent neural network is applied on various task for ICONs2020☆29Updated 4 years ago
- The code associated with Comparing SNNs and RNNs on neuromorphic vision datasets: Similarities and differences.☆52Updated 4 years ago
- Pytorch implementation of Neuromorphic Data Augmentation for SNN, Accepted to ECCV 2022.☆41Updated 2 years ago
- [NeurIPS 2022] Online Training Through Time for Spiking Neural Networks☆63Updated last year
- Spiking Convolutional Neural Networks☆68Updated 6 years ago
- Advancing Spiking Neural Networks towards Deep Residual Learning☆54Updated 4 months ago
- Accurate and efficient Spiking recurrent networks on ECG,SHD,SSC,SOLI,(p)SMNIST,TIMIT☆81Updated 2 years ago
- A simple direct training implement for SNNs using Spatio-Temporal Backpropagation☆88Updated 2 years ago
- This repo is the implementation of the spatio-temporal credit assignment （STCA） algorithm for training deep spiking neural networks.☆26Updated 6 years ago
- A Spiking Neural Network model for Digit Recognition using the N-MNIST dataset.☆19Updated 4 years ago
- ☆45Updated 3 years ago
- ☆255Updated 4 years ago
- Offical implementation of "Attention Spiking Neural Networks" (IEEE T-PAMI2023)☆81Updated last year
- ☆38Updated 3 years ago
- PyTorch implementation of SLAYER for training Spiking Neural Networks☆319Updated 3 months ago
- ☆13Updated 4 years ago
- Code for the model presented in the paper "A Biologically Plausible Supervised Learning Method for Spiking Neural Networks Using the Symm…☆47Updated 4 years ago
- Spiking Neural Networks in C++ with strong GPU acceleration through CUDA☆129Updated 5 years ago
- ☆38Updated last year
- BNTT - Frontiers in Neuroscience (2021)☆48Updated 3 years ago
- ☆28Updated 4 years ago
- [TNNLS 2024] Implementation of "TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks"☆57Updated last year
- ☆17Updated 3 years ago
- [CVPR 2022] Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation☆51Updated 2 years ago