The code associated with Comparing SNNs and RNNs on neuromorphic vision datasets: Similarities and differences.
☆53Aug 20, 2021Updated 4 years ago
Alternatives and similar repositories for SNNs-RNNs
Users that are interested in SNNs-RNNs are comparing it to the libraries listed below
Sorting:
- A simple direct training implement for SNNs using Spatio-Temporal Backpropagation☆87Apr 15, 2023Updated 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 …☆29Feb 3, 2022Updated 4 years ago
- Spatio-temporal BP for SNNs☆238May 17, 2022Updated 3 years ago
- ☆13Oct 1, 2020Updated 5 years ago
- Code for the model presented in the paper "LISNN: Improving Spiking Neural Networks with Lateral Interactions for Robust Object Recogniti…☆12Nov 20, 2020Updated 5 years ago
- ☆42Sep 4, 2019Updated 6 years ago
- The code for tuning Spiking Neural Network based on Biologically-plausible Reward Propagation☆12Nov 23, 2020Updated 5 years ago
- This repo is the implementation of the spatio-temporal credit assignment （STCA） algorithm for training deep spiking neural networks.☆28Aug 7, 2019Updated 6 years ago
- Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks☆117Aug 9, 2022Updated 3 years ago
- Codes for Spiking Neural Networks with Improved Inherent Recurrence Dynamics for Sequential Learning☆11May 5, 2022Updated 3 years ago
- ☆29Dec 8, 2020Updated 5 years ago
- This project used STBP-tdBN method to directly train Deep Spiking Neural Networks from scratch with PyTorch☆36Feb 2, 2023Updated 3 years ago
- A Spiking Neural Network model for Digit Recognition using the N-MNIST dataset.☆19Sep 15, 2020Updated 5 years ago
- Code for "Convolutional spiking neural networks (SNN) for spatio-temporal feature extraction" paper☆139Oct 22, 2020Updated 5 years ago
- The biologically plausible self backpropagation on SNNs and ANNs☆13Aug 27, 2021Updated 4 years ago
- PyTorch implementation of SLAYER for training Spiking Neural Networks☆325May 30, 2025Updated 9 months ago
- Spiking Convolutional Neural Networks☆69Dec 7, 2018Updated 7 years ago
- Accurate and efficient Spiking recurrent networks on ECG,SHD,SSC,SOLI,(p)SMNIST,TIMIT☆83Feb 17, 2023Updated 3 years ago
- FeedForward Propagation Through Time on Spiking Neural Network (SNNs)☆58Jan 2, 2023Updated 3 years ago
- ☆17Dec 18, 2020Updated 5 years ago
- ☆47Jul 2, 2022Updated 3 years ago
- Code for the model presented in the paper "A Biologically Plausible Supervised Learning Method for Spiking Neural Networks Using the Symm…☆50Nov 9, 2020Updated 5 years ago
- BNTT - Frontiers in Neuroscience (2021)☆49Nov 11, 2021Updated 4 years ago
- To appear in the 30th International Joint Conference on Artificial Intelligence (IJCAI 2021).☆31Aug 18, 2021Updated 4 years ago
- GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks, NeurIPS 2022 Poster☆53Feb 18, 2023Updated 3 years ago
- Pytorch implementation of TSSL-BP rule for Deep Spiking Neural Networks.☆73Apr 16, 2024Updated last year
- Event Transformer. A sparse-aware solution for efficient event data processing☆81Apr 3, 2023Updated 2 years ago
- A python implementation of a spiking neural network with STDP and Reinforcement learning methods☆133Jun 6, 2017Updated 8 years ago
- ☆256May 8, 2021Updated 4 years ago
- Spiking Global-Local Fusion Transformer☆21Apr 27, 2025Updated 10 months ago
- ☆19Mar 13, 2023Updated 2 years ago
- ☆40Dec 11, 2023Updated 2 years ago
- A PyTorch implementation of Spiking-YOLOv3. Two branches are provided, based on two common PyTorch implementation of YOLOv3(ultralytics/y…☆223Mar 23, 2021Updated 4 years ago
- ☆25Jan 10, 2022Updated 4 years ago
- ☆27Nov 16, 2025Updated 3 months ago
- ☆20Dec 14, 2023Updated 2 years ago
- Official code of "AutoSNN: Towards Energy-Efficient Spiking Neural Networks," ICML22☆18May 29, 2022Updated 3 years ago
- ☆59Aug 31, 2023Updated 2 years ago
- SpikeMS: Deep Spiking Neural Network for Motion Segmentation☆39Jul 21, 2022Updated 3 years ago