duanqingxi / NCOMMS-20-02976Links
☆14Updated 5 years ago
Alternatives and similar repositories for NCOMMS-20-02976
Users that are interested in NCOMMS-20-02976 are comparing it to the libraries listed below
Sorting:
- Code for the model presented in the paper "A Biologically Plausible Supervised Learning Method for Spiking Neural Networks Using the Symm…☆50Updated 5 years ago
- Implementation of the paper Keys to Accurate Feature Extraction Using Residual Spiking Neural Networks☆33Updated last year
- Repository for the master thesis titled "Local Unsupervised Learning of Multimodal Event-Based Data with Spiking Neural Networks", by Jul…☆27Updated 5 months ago
- Pytorch implementation of TSSL-BP rule for Deep Spiking Neural Networks.☆72Updated last year
- A simple from scratch implementation of a Spiking-Neural-Network with STDP in Python which is beeing trained on MNIST.☆45Updated last year
- SSTDP is a efficient spiking neural network training framework, which is contributed by Fangxin Liu and Wenbo Zhao.☆37Updated 4 years ago
- Reimplementation of the paper "STDP-based spiking deep convolutional neural networks for object recognition"☆16Updated 2 years ago
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆103Updated 4 years ago
- Deep Residual Learning in Spiking Neural Networks☆184Updated 3 years ago
- ☆18Updated 2 years ago
- STSC-SNN: Spatio-Temporal Synaptic Connection with temporal convolution and attention for spiking neural networks☆23Updated 2 years ago
- A Spiking Neural Network model for Digit Recognition using the N-MNIST dataset.☆18Updated 5 years ago
- A toolbox for neuromorphic sensing in robotics.☆16Updated 4 years ago
- Code for "Convolutional spiking neural networks (SNN) for spatio-temporal feature extraction" paper☆133Updated 5 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
- Pytorch Implementation of Signed Neuron with Memory: Towards Simple, Accurate and High-Efficient ANN-SNN Conversion, IJCAI 2022☆24Updated 2 years ago
- A simple direct training implement for SNNs using Spatio-Temporal Backpropagation☆90Updated 2 years ago
- The code associated with Comparing SNNs and RNNs on neuromorphic vision datasets: Similarities and differences.☆52Updated 4 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
- Spatio-temporal BP for SNNs☆232Updated 3 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
- Code for DCT_SNN, an input encoding scheme for SNNs using DCT☆18Updated 4 years ago
- Pytorch implementation of Neuromorphic Data Augmentation for SNN, Accepted to ECCV 2022.☆44Updated 2 years ago
- [ICASSP2022] RATE CODING OR DIRECT CODING: WHICH ONE IS BETTER FOR ACCURATE, ROBUST, and ENERGY-EFFICIENT SPIKING NEURAL NETWORKS☆19Updated 2 years ago
- ☆14Updated 6 years ago
- Offical implementation of "Attention Spiking Neural Networks" (IEEE T-PAMI2023)☆87Updated last year
- This repo is the implementation of the spatio-temporal credit assignment (STCA) algorithm for training deep spiking neural networks.☆28Updated 6 years ago
- ☆46Updated 3 years ago
- [NeurIPS 2022] Online Training Through Time for Spiking Neural Networks☆65Updated last year