IGITUGraz / eligibility_propagationLinks
☆91Updated 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:
- PyTorch implementation of the eligibility propagation (e-prop) learning algorithm.☆51Updated 3 years ago
- Long short-term memory Spiking Neural Networks☆104Updated 5 years ago
- Spiking Convolutional Neural Networks☆69Updated 6 years ago
- Training Recurrent Neural Networks via Forward Propagation Through Time☆41Updated 4 years ago
- ☆45Updated 2 years ago
- FeedForward Propagation Through Time on Spiking Neural Network (SNNs)☆55Updated 2 years 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
- ☆31Updated 5 months ago
- ☆38Updated 3 years ago
- Accurate and efficient Spiking recurrent networks on ECG,SHD,SSC,SOLI,(p)SMNIST,TIMIT☆81Updated 2 years ago
- Datasets recorded from Neuromorphic Sensors or Conversions using Simulations of Sensors☆31Updated last year
- A machine learning library for spiking neural networks. Supports training with both torch and jax pipelines, and deployment to neuromorph…☆68Updated last week
- Code from our paper: SuperSpike: Supervised learning in multi-layer spiking neural networks.☆56Updated 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
- Benchmark harness and baseline results for the NeuroBench algorithm track.☆79Updated last week
- ☆34Updated 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
- Plugin for Sinabs, implementing the EXODUS algorithm for training SNNs efficiently with BPTT☆27Updated 2 months ago
- A deep learning library for spiking neural networks which is based on PyTorch, focuses on fast training and supports inference on neuromo…☆96Updated 2 weeks ago
- Notebooks illustrating the use of Norse, a library for deep-learning with spiking neural networks.☆31Updated last year
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆100Updated 4 years ago
- A library for deep learning with Spiking Neural Networks (SNN).☆33Updated last week
- ☆42Updated 5 years ago
- Repository for the master thesis titled "Local Unsupervised Learning of Multimodal Event-Based Data with Spiking Neural Networks", by Jul…☆24Updated 2 weeks ago
- A PyTorch implementation of EventProp [https://arxiv.org/abs/2009.08378], a method to train Spiking Neural Networks☆49Updated 4 years ago
- a spiking neural network module, tempotron for classification☆17Updated 4 years ago
- Tutorial for surrogate gradient learning in spiking neural networks☆46Updated 11 months ago
- Neuron-Astrocyte Liquid State Machine☆19Updated 3 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
- [NeurIPS 2022] Online Training Through Time for Spiking Neural Networks☆62Updated last year