HanSeokhyeon / Supervised-Learning-Based-on-Temporal-Coding-in-Spiking-Neural-NetworksLinks
☆14Updated 5 years ago
Alternatives and similar repositories for Supervised-Learning-Based-on-Temporal-Coding-in-Spiking-Neural-Networks
Users that are interested in Supervised-Learning-Based-on-Temporal-Coding-in-Spiking-Neural-Networks are comparing it to the libraries listed below
Sorting:
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆102Updated 4 years ago
- Pytorch implementation of TSSL-BP rule for Deep Spiking Neural Networks.☆71Updated last year
- spiking-neural-networks☆37Updated 7 months ago
- Code for "Convolutional spiking neural networks (SNN) for spatio-temporal feature extraction" paper☆132Updated 4 years ago
- In this repo, Spiking recurrent neural network is applied on various task for ICONs2020☆29Updated 4 years ago
- Code for DCT_SNN, an input encoding scheme for SNNs using DCT☆16Updated 3 years ago
- Basic SNN propogating spikes between LIF neurons☆86Updated 7 years ago
- ☆14Updated 3 years ago
- A Spiking Neural Network Architecture for MNIST Digit Recognition☆34Updated 7 years ago
- Spiking Convolutional Neural Networks☆68Updated 6 years ago
- This repo is the implementation of the spatio-temporal credit assignment （STCA） algorithm for training deep spiking neural networks.☆26Updated 6 years ago
- A simple direct training implement for SNNs using Spatio-Temporal Backpropagation☆88Updated 2 years ago
- The code associated with Comparing SNNs and RNNs on neuromorphic vision datasets: Similarities and differences.☆52Updated 4 years ago
- Implementation of the paper Keys to Accurate Feature Extraction Using Residual Spiking Neural Networks☆30Updated last year
- Supervised learning in spiking neural networks for precise temporal encoding☆18Updated 6 years ago
- Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks☆33Updated 3 years ago
- Code for the model presented in the paper "A Biologically Plausible Supervised Learning Method for Spiking Neural Networks Using the Symm…☆47Updated 4 years ago
- Implementation of Long Short Term Spiking NN☆39Updated 3 years ago
- a spiking neural network module, tempotron for classification☆17Updated 4 years ago
- developing tools for LIAF-SNNs and LIF-SNNs☆10Updated 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 …☆30Updated 3 years ago
- A Spiking Neural Network model for Digit Recognition using the N-MNIST dataset.☆19Updated 4 years ago
- ☆28Updated 4 years ago
- Pytorch implementation of Neuromorphic Data Augmentation for SNN, Accepted to ECCV 2022.☆41Updated 2 years ago
- Code for the model presented in the paper "LISNN: Improving Spiking Neural Networks with Lateral Interactions for Robust Object Recogniti…☆11Updated 4 years ago
- ☆38Updated 3 years ago
- [NeurIPS 2022] Online Training Through Time for Spiking Neural Networks☆63Updated last year
- Temporal backpropagation for spiking neural networks with one spike per neuron, by S. R. Kheradpisheh and T. Masquelier, International Jo…☆62Updated 4 years ago
- ☆45Updated 3 years ago
- Spatio-temporal BP for SNNs☆231Updated 3 years ago