byin-cwi / SRNN-ICONs2020
In this repo, Spiking recurrent neural network is applied on various task for ICONs2020
☆28Updated 4 years ago
Alternatives and similar repositories for SRNN-ICONs2020:
Users that are interested in SRNN-ICONs2020 are comparing it to the libraries listed below
- ☆50Updated 2 years ago
- Pytorch implementation of TSSL-BP rule for Deep Spiking Neural Networks.☆68Updated 9 months ago
- ☆35Updated last year
- Meta-Dynamic Neurons improved Spatio-temporal Generalization of Spiking Neural Networks☆9Updated 4 years ago
- ☆13Updated 4 years ago
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆99Updated 3 years ago
- ☆16Updated 4 years ago
- The code associated with Comparing SNNs and RNNs on neuromorphic vision datasets: Similarities and differences.☆51Updated 3 years ago
- [NeurIPS 2022] Online Training Through Time for Spiking Neural Networks☆56Updated last year
- Codes of the paper of "Surrogate-Assisted Evolutionary Search of Spiking Neural Architectures in Liquid State Machines"☆11Updated last year
- Pytorch implementation of Neuromorphic Data Augmentation for SNN, Accepted to ECCV 2022.☆36Updated 2 years ago
- ☆21Updated 3 years ago
- Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks☆34Updated 3 years ago
- Pytorch Implementation of Signed Neuron with Memory: Towards Simple, Accurate and High-Efficient ANN-SNN Conversion, IJCAI 2022☆22Updated 2 years ago
- a spiking neural network module, tempotron for classification☆15Updated 4 years ago
- ☆42Updated 5 years ago
- ☆35Updated 3 years ago
- Optimizing threshold and leak in LIF neurons with end-to-end backpropagation☆18Updated 3 years ago
- ☆13Updated 3 years ago
- This repo is the implementation of the spatio-temporal credit assignment (STCA) algorithm for training deep spiking neural networks.☆25Updated 5 years ago
- ☆43Updated 2 years ago
- A simple direct training implement for SNNs using Spatio-Temporal Backpropagation☆84Updated last year
- [CVPR 2022] Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation☆48Updated 2 years ago
- Datasets recorded from Neuromorphic Sensors or Conversions using Simulations of Sensors☆29Updated 9 months ago
- GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks, NeurIPS 2022 Poster☆50Updated last year
- Official code of "AutoSNN: Towards Energy-Efficient Spiking Neural Networks," ICML22☆17Updated 2 years ago
- This repository contains code from our paper Efficient and Accurate Conversion of Spiking Neural Network with Burst Spikes, published in …☆20Updated 2 years ago
- ☆26Updated 4 years ago
- ☆37Updated last year
- Code for "Convolutional spiking neural networks (SNN) for spatio-temporal feature extraction" paper☆125Updated 4 years ago