thomasaimondy / BRP-SNNLinks
The code for tuning Spiking Neural Network based on Biologically-plausible Reward Propagation
☆11Updated 4 years ago
Alternatives and similar repositories for BRP-SNN
Users that are interested in BRP-SNN are comparing it to the libraries listed below
Sorting:
- The code associated with Comparing SNNs and RNNs on neuromorphic vision datasets: Similarities and differences.☆52Updated 4 years ago
- ☆13Updated 5 years ago
- Spatio-temporal BP for SNNs☆232Updated 3 years ago
- Code for the model presented in the paper "LISNN: Improving Spiking Neural Networks with Lateral Interactions for Robust Object Recogniti…☆12Updated 4 years ago
- In this repo, Spiking recurrent neural network is applied on various task for ICONs2020☆29Updated 4 years ago
- Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks☆112Updated 3 years ago
- Accurate and efficient Spiking recurrent networks on ECG,SHD,SSC,SOLI,(p)SMNIST,TIMIT☆83Updated 2 years ago
- A simple direct training implement for SNNs using Spatio-Temporal Backpropagation☆90Updated 2 years ago
- Reimplementation of the paper "STDP-based spiking deep convolutional neural networks for object recognition"☆16Updated 2 years ago
- Implementation of the paper Keys to Accurate Feature Extraction Using Residual Spiking Neural Networks☆33Updated last year
- Codes for Spiking Neural Networks with Improved Inherent Recurrence Dynamics for Sequential Learning☆11Updated 3 years ago
- Implementation of Long Short Term Spiking NN☆39Updated 3 years ago
- [ICCV2023] Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks☆43Updated 2 years ago
- Pytorch implementation of TSSL-BP rule for Deep Spiking Neural Networks.☆71Updated last year
- This repo is the implementation of the spatio-temporal credit assignment （STCA） algorithm for training deep spiking neural networks.☆27Updated 6 years ago
- ☆56Updated 2 years ago
- a spiking neural network module, tempotron for classification☆17Updated 4 years ago
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆102Updated 4 years ago
- Threshold annealing in binarized spiking neural networks☆16Updated 3 years ago
- Collect important papers about snn☆32Updated 4 years ago
- This project used STBP-tdBN method to directly train Deep Spiking Neural Networks from scratch with PyTorch☆35Updated 2 years ago
- Convolutional spiking neural network implementing voltage-dependent synaptic plasticity and single-spike integrate-and-fire neurons☆13Updated 2 years ago
- FeedForward Propagation Through Time on Spiking Neural Network (SNNs)☆57Updated 2 years ago
- Deep Residual Learning in Spiking Neural Networks☆182Updated 3 years ago
- [NeurIPS 2022] Online Training Through Time for Spiking Neural Networks☆64Updated last year
- Offical implementation of "Attention Spiking Neural Networks" (IEEE T-PAMI2023)☆84Updated last year
- ☆255Updated 4 years ago
- Offical implementation of "Adaptive Smoothing Gradient Learning for Spiking Neural Networks", ICML 2023☆25Updated 2 years ago
- ☆28Updated 4 years ago
- Code for paper "Optimal ANN-SNN conversion for high-accuracy and ultra-low-latency spiking neural networks"☆31Updated 2 years ago