IGITUGraz / eligibility_propagation
☆90Updated last year
Alternatives and similar repositories for eligibility_propagation
Users that are interested in eligibility_propagation are comparing it to the libraries listed below
Sorting:
- Long short-term memory Spiking Neural Networks☆102Updated 5 years ago
- PyTorch implementation of the eligibility propagation (e-prop) learning algorithm.☆51Updated 3 years ago
- ☆30Updated 4 months ago
- ☆45Updated 2 years ago
- Spiking Convolutional Neural Networks☆68Updated 6 years ago
- ☆37Updated 3 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
- Datasets recorded from Neuromorphic Sensors or Conversions using Simulations of Sensors☆31Updated last year
- Accurate and efficient Spiking recurrent networks on ECG,SHD,SSC,SOLI,(p)SMNIST,TIMIT☆81Updated 2 years ago
- Pure python implementation of unsupervised MNIST classification using Spiking Neural Networks (using STDP)☆28Updated 3 years ago
- FeedForward Propagation Through Time on Spiking Neural Network (SNNs)☆53Updated 2 years ago
- A library for deep learning with Spiking Neural Networks (SNN).☆29Updated last week
- 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
- Code from our paper: SuperSpike: Supervised learning in multi-layer spiking neural networks.☆56Updated 6 years ago
- ☆42Updated 5 years ago
- Training Recurrent Neural Networks via Forward Propagation Through Time☆41Updated 3 years ago
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆100Updated 4 years ago
- A PyTorch implementation of EventProp [https://arxiv.org/abs/2009.08378], a method to train Spiking Neural Networks☆49Updated 4 years ago
- Using spiking neurons and spike-timing-dependent plasticity to classify the MNIST handwritten digits.☆159Updated 5 years ago
- Notebooks illustrating the use of Norse, a library for deep-learning with spiking neural networks.☆30Updated 10 months ago
- Basic SNN propogating spikes between LIF neurons☆84Updated 6 years ago
- This repository will host models, modules, algorithms and applications developed by the INRC Community to run on the Intel Loihi Platform…☆83Updated last year
- A simple from scratch implementation of a Spiking-Neural-Network with STDP in Python which is beeing trained on MNIST.☆40Updated 8 months ago
- ☆37Updated 3 years ago
- A python implementation of a spiking neural network with STDP and Reinforcement learning methods☆128Updated 7 years ago
- Liquid State Machines in Python and NEST☆71Updated 4 years ago
- ☆33Updated 5 years ago
- a spiking neural network module, tempotron for classification☆17Updated 4 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
- In this repo, Spiking recurrent neural network is applied on various task for ICONs2020☆29Updated 4 years ago