loiccordone / sparse-spiking-neural-networksLinks
Repository code for the IJCNN 2021 paper "Learning from Event Cameras with Sparse Spiking Convolutional Neural Networks"
☆20Updated 3 years ago
Alternatives and similar repositories for sparse-spiking-neural-networks
Users that are interested in sparse-spiking-neural-networks are comparing it to the libraries listed below
Sorting:
- This is the implementation of MLF & spiking DS-ResNet☆17Updated 2 years ago
- Offical implementation of "Attention Spiking Neural Networks" (IEEE T-PAMI2023)☆88Updated last year
- ☆40Updated 2 years ago
- ☆59Updated 2 years ago
- Advancing Spiking Neural Networks towards Deep Residual Learning☆62Updated 9 months ago
- Code for "Convolutional spiking neural networks (SNN) for spatio-temporal feature extraction" paper☆137Updated 5 years ago
- ☆25Updated 3 years ago
- The code associated with Comparing SNNs and RNNs on neuromorphic vision datasets: Similarities and differences.☆52Updated 4 years ago
- Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks☆116Updated 3 years ago
- Paper list for SNN based computer vision tasks.☆130Updated last year
- Optical Flow estimation from Event cameras and Spiking Neural Networks☆33Updated last year
- Accurate and efficient Spiking recurrent networks on ECG,SHD,SSC,SOLI,(p)SMNIST,TIMIT☆83Updated 2 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
- Code for the model presented in the paper "LISNN: Improving Spiking Neural Networks with Lateral Interactions for Robust Object Recogniti…☆12Updated 5 years ago
- Pytorch implementation of Neuromorphic Data Augmentation for SNN, Accepted to ECCV 2022.☆44Updated 3 years ago
- [NeurIPS 2022] Online Training Through Time for Spiking Neural Networks☆67Updated 2 years ago
- Offical implementation of "Temporal-wise Attention Spiking Neural Networks for Event Streams Classification" (ICCV2021)☆21Updated 2 years ago
- Deep Residual Learning in Spiking Neural Networks☆187Updated 3 years ago
- A simple direct training implement for SNNs using Spatio-Temporal Backpropagation☆88Updated 2 years ago
- Official code of "AutoSNN: Towards Energy-Efficient Spiking Neural Networks," ICML22☆18Updated 3 years ago
- [ICCV2023] Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks☆45Updated 2 years ago
- Pytorch implementation of TSSL-BP rule for Deep Spiking Neural Networks.☆73Updated last year
- [TNNLS 2024] Implementation of "TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks"☆62Updated last year
- ☆55Updated 3 years ago
- STSC-SNN: Spatio-Temporal Synaptic Connection with temporal convolution and attention for spiking neural networks☆23Updated 3 years ago
- ☆19Updated 2 years ago
- An event-driven learning algorithm for spiking neural networks☆31Updated last year
- ☆13Updated 5 years ago
- This project used STBP-tdBN method to directly train Deep Spiking Neural Networks from scratch with PyTorch☆36Updated 2 years ago
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆103Updated 4 years ago