QQQYang / snnLinks
construct a spiking neural network
☆23Updated 7 years ago
Alternatives and similar repositories for snn
Users that are interested in snn are comparing it to the libraries listed below
Sorting:
- Spiking Convolutional Neural Networks☆69Updated 6 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
- spiking-neural-networks☆37Updated 4 months ago
- The code associated with Comparing SNNs and RNNs on neuromorphic vision datasets: Similarities and differences.☆52Updated 3 years ago
- Code for "Convolutional spiking neural networks (SNN) for spatio-temporal feature extraction" paper☆131Updated 4 years ago
- A Spiking Neural Network model for Digit Recognition using the N-MNIST dataset.☆19Updated 4 years ago
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆100Updated 4 years ago
- A simple direct training implement for SNNs using Spatio-Temporal Backpropagation☆85Updated 2 years ago
- Pytorch implementation of TSSL-BP rule for Deep Spiking Neural Networks.☆70Updated last year
- Basic SNN propogating spikes between LIF neurons☆84Updated 6 years ago
- a spiking neural network module, tempotron for classification☆17Updated 4 years ago
- ☆38Updated 3 years ago
- Feedforward spiking neural network has been trained with SpikeProp algorithm☆22Updated 7 years ago
- Accurate and efficient Spiking recurrent networks on ECG,SHD,SSC,SOLI,(p)SMNIST,TIMIT☆81Updated 2 years ago
- Pytorch Implementation of Signed Neuron with Memory: Towards Simple, Accurate and High-Efficient ANN-SNN Conversion, IJCAI 2022☆23Updated 2 years ago
- This repo is the implementation of the spatio-temporal credit assignment (STCA) algorithm for training deep spiking neural networks.☆26Updated 5 years ago
- A simple from scratch implementation of a Spiking-Neural-Network with STDP in Python which is beeing trained on MNIST.☆41Updated 9 months ago
- Temporal backpropagation for spiking neural networks with one spike per neuron, by S. R. Kheradpisheh and T. Masquelier, International Jo…☆61Updated 4 years ago
- ☆42Updated 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 …☆28Updated 3 years ago
- Brian 2 version of Paper "Unsupervised Learning of digit recognition using STDP"☆134Updated 4 years ago
- ☆52Updated last year
- ☆38Updated 3 years ago
- Pure python implementation of unsupervised MNIST classification using Spiking Neural Networks (using STDP)☆29Updated 3 years ago
- [NeurIPS 2022] Online Training Through Time for Spiking Neural Networks☆61Updated last year
- ☆13Updated 4 years ago
- ☆45Updated 2 years ago
- Repository for the master thesis titled "Local Unsupervised Learning of Multimodal Event-Based Data with Spiking Neural Networks", by Jul…☆23Updated 2 years ago
- a simple snn model in matlab☆22Updated 8 years ago
- Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks☆33Updated 3 years ago