byin-cwi / Efficient-spiking-networksLinks
Accurate and efficient Spiking recurrent networks on ECG,SHD,SSC,SOLI,(p)SMNIST,TIMIT
☆83Updated 2 years ago
Alternatives and similar repositories for Efficient-spiking-networks
Users that are interested in Efficient-spiking-networks are comparing it to the libraries listed below
Sorting:
- A simple direct training implement for SNNs using Spatio-Temporal Backpropagation☆88Updated 2 years ago
- Spatio-temporal BP for SNNs☆235Updated 3 years ago
- Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks☆116Updated 3 years ago
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆103Updated 4 years ago
- [NeurIPS 2022] Online Training Through Time for Spiking Neural Networks☆67Updated 2 years ago
- FeedForward Propagation Through Time on Spiking Neural Network (SNNs)☆59Updated 3 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
- Threshold annealing in binarized spiking neural networks☆16Updated 3 years ago
- In this repo, Spiking recurrent neural network is applied on various task for ICONs2020☆29Updated 5 years ago
- ☆50Updated 2 years ago
- ☆258Updated 4 years ago
- PyTorch implementation of the eligibility propagation (e-prop) learning algorithm.☆57Updated 3 years ago
- Convolutional spiking neural network implementing voltage-dependent synaptic plasticity and single-spike integrate-and-fire neurons☆13Updated 3 years ago
- Official implementation of "Learning Delays in Spiking Neural Networks using Dilated Convolutions with Learnable Spacings" [ICLR2024]☆66Updated last year
- Implementation of Long Short Term Spiking NN☆39Updated 3 years ago
- Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks☆33Updated 4 years ago
- ☆59Updated 2 years ago
- Tutorial for surrogate gradient learning in spiking neural networks☆47Updated last year
- This repo is the implementation of the spatio-temporal credit assignment （STCA） algorithm for training deep spiking neural networks.☆28Updated 6 years ago
- [CVPR 2022] Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation☆53Updated 3 years ago
- Long short-term memory Spiking Neural Networks☆109Updated 5 years ago
- ☆46Updated 3 years ago
- [ICCV2023] Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks☆45Updated 2 years ago
- Code for paper "Optimal ANN-SNN conversion for high-accuracy and ultra-low-latency spiking neural networks"☆38Updated 2 years ago
- Deep Residual Learning in Spiking Neural Networks☆187Updated 3 years ago
- STBP is a way to train SNN with datasets by Backward propagation.Using this Repositories allows you to train SNNS with STBP and quantize …☆29Updated 3 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
- ☆31Updated last year
- Code for "Convolutional spiking neural networks (SNN) for spatio-temporal feature extraction" paper☆137Updated 5 years ago