nmi-lab / decolle-public
☆45Updated 2 years ago
Alternatives and similar repositories for decolle-public:
Users that are interested in decolle-public are comparing it to the libraries listed below
- ☆36Updated 3 years ago
- Datasets recorded from Neuromorphic Sensors or Conversions using Simulations of Sensors☆30Updated 11 months ago
- ☆42Updated 5 years ago
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆99Updated 3 years ago
- Accurate and efficient Spiking recurrent networks on ECG,SHD,SSC,SOLI,(p)SMNIST,TIMIT☆79Updated 2 years ago
- Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks☆34Updated 3 years ago
- ☆89Updated last year
- Spiking Convolutional Neural Networks☆66Updated 6 years ago
- ☆38Updated 3 years ago
- Long short-term memory Spiking Neural Networks☆102Updated 5 years ago
- [NeurIPS 2022] Online Training Through Time for Spiking Neural Networks☆58Updated last year
- PyTorch implementation of the eligibility propagation (e-prop) learning algorithm.☆51Updated 3 years ago
- FeedForward Propagation Through Time on Spiking Neural Network (SNNs)☆50Updated 2 years ago
- Threshold annealing in binarized spiking neural networks☆14Updated 2 years ago
- Temporal backpropagation for spiking neural networks with one spike per neuron, by S. R. Kheradpisheh and T. Masquelier, International Jo…☆60Updated 4 years ago
- BNTT - Frontiers in Neuroscience (2021)☆47Updated 3 years ago
- Plugin for Sinabs, implementing the EXODUS algorithm for training SNNs efficiently with BPTT☆27Updated this week
- In this repo, Spiking recurrent neural network is applied on various task for ICONs2020☆29Updated 4 years ago
- ☆51Updated 2 years ago
- A simple from scratch implementation of a Spiking-Neural-Network with STDP in Python which is beeing trained on MNIST.☆34Updated 6 months ago
- ☆13Updated 4 years ago
- Pytorch implementation of TSSL-BP rule for Deep Spiking Neural Networks.☆68Updated 11 months ago
- ☆29Updated 2 months ago
- A simple direct training implement for SNNs using Spatio-Temporal Backpropagation☆85Updated last year
- 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
- ☆18Updated 3 years ago
- Implementation of Long Short Term Spiking NN☆39Updated 2 years ago
- An event based dataset loader under one common python API.☆10Updated 3 years ago
- ☆16Updated 4 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