stonezwr / TSSL-BP
Pytorch implementation of TSSL-BP rule for Deep Spiking Neural Networks.
☆68Updated 6 months ago
Related projects ⓘ
Alternatives and complementary repositories for TSSL-BP
- A simple direct training implement for SNNs using Spatio-Temporal Backpropagation☆78Updated last year
- The code associated with Comparing SNNs and RNNs on neuromorphic vision datasets: Similarities and differences.☆50Updated 3 years ago
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆96Updated 3 years ago
- ☆42Updated 5 years ago
- Accurate and efficient Spiking recurrent networks on ECG,SHD,SSC,SOLI,(p)SMNIST,TIMIT☆76Updated last year
- [NeurIPS 2022] Online Training Through Time for Spiking Neural Networks☆53Updated 11 months ago
- Code for "Convolutional spiking neural networks (SNN) for spatio-temporal feature extraction" paper☆122Updated 4 years ago
- Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks☆94Updated 2 years ago
- Spiking Convolutional Neural Networks☆64Updated 5 years ago
- ☆27Updated 3 years ago
- In this repo, Spiking recurrent neural network is applied on various task for ICONs2020☆28Updated 3 years ago
- Spatio-temporal BP for SNNs☆210Updated 2 years ago
- Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks☆34Updated 2 years ago
- Implementation of the paper Keys to Accurate Feature Extraction Using Residual Spiking Neural Networks☆26Updated 10 months ago
- Pytorch implementation of Neuromorphic Data Augmentation for SNN, Accepted to ECCV 2022.☆34Updated last year
- ☆13Updated 4 years ago
- ☆36Updated 2 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 …☆26Updated 2 years ago
- ☆43Updated 2 years ago
- [CVPR 2022] Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation☆46Updated 2 years ago
- ☆48Updated last year
- Implementation of Long Short Term Spiking NN☆37Updated 2 years ago
- Datasets recorded from Neuromorphic Sensors or Conversions using Simulations of Sensors☆29Updated 6 months ago
- A Spiking Neural Network model for Digit Recognition using the N-MNIST dataset.☆15Updated 4 years ago
- Code for temporal efficient training☆54Updated 2 months ago
- Pytorch Implementation of Signed Neuron with Memory: Towards Simple, Accurate and High-Efficient ANN-SNN Conversion, IJCAI 2022☆22Updated last year
- This repo is the implementation of the spatio-temporal credit assignment （STCA） algorithm for training deep spiking neural networks.☆25Updated 5 years ago
- Temporal backpropagation for spiking neural networks with one spike per neuron, by S. R. Kheradpisheh and T. Masquelier, International Jo…☆59Updated 3 years ago
- Code for the model presented in the paper "LISNN: Improving Spiking Neural Networks with Lateral Interactions for Robust Object Recogniti…☆11Updated 3 years ago
- Code for DCT_SNN, an input encoding scheme for SNNs using DCT☆15Updated 3 years ago