aa-samad / conv_snnLinks
Code for "Convolutional spiking neural networks (SNN) for spatio-temporal feature extraction" paper
☆136Updated 5 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☆116Updated 3 years ago
- Deep Residual Learning in Spiking Neural Networks☆186Updated 3 years ago
- Paper list for SNN based computer vision tasks.☆130Updated last year
- Spatio-temporal BP for SNNs☆234Updated 3 years ago
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆103Updated 4 years ago
- Pytorch implementation of TSSL-BP rule for Deep Spiking Neural Networks.☆73Updated last year
- 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.☆43Updated 3 years ago
- This repo is the implementation of the spatio-temporal credit assignment （STCA） algorithm for training deep spiking neural networks.☆28Updated 6 years ago
- [NeurIPS 2022] Online Training Through Time for Spiking Neural Networks☆67Updated 2 years ago
- A simple direct training implement for SNNs using Spatio-Temporal Backpropagation☆88Updated 2 years ago
- Accurate and efficient Spiking recurrent networks on ECG,SHD,SSC,SOLI,(p)SMNIST,TIMIT☆83Updated 2 years ago
- In this repo, Spiking recurrent neural network is applied on various task for ICONs2020☆29Updated 5 years ago
- Advancing Spiking Neural Networks towards Deep Residual Learning☆61Updated 9 months ago
- Spiking Convolutional Neural Networks☆68Updated 7 years ago
- ☆46Updated 3 years ago
- ☆38Updated 3 years ago
- ☆29Updated 5 years ago
- Offical implementation of "Attention Spiking Neural Networks" (IEEE T-PAMI2023)☆88Updated last year
- ☆258Updated 4 years ago
- A Spiking Neural Network model for Digit Recognition using the N-MNIST dataset.☆19Updated 5 years ago
- ☆59Updated 2 years ago
- BNTT - Frontiers in Neuroscience (2021)☆48Updated 4 years ago
- Spiking Neural Networks in C++ with strong GPU acceleration through CUDA☆135Updated 5 years ago
- ☆13Updated 5 years ago
- PyTorch implementation of SLAYER for training Spiking Neural Networks☆325Updated 7 months ago
- [CVPR 2022] Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation☆53Updated 3 years ago
- Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks☆33Updated 4 years ago
- ☆17Updated 3 years ago
- Implementation of Long Short Term Spiking NN☆39Updated 3 years ago