IGITUGraz / eligibility_propagation
☆87Updated 8 months ago
Related projects ⓘ
Alternatives and complementary repositories for eligibility_propagation
- Long short-term memory Spiking Neural Networks☆99Updated 4 years ago
- PyTorch implementation of the eligibility propagation (e-prop) learning algorithm.☆49Updated 2 years ago
- ☆27Updated 3 years ago
- Accurate and efficient Spiking recurrent networks on ECG,SHD,SSC,SOLI,(p)SMNIST,TIMIT☆76Updated last year
- ☆35Updated 2 years ago
- ☆43Updated 2 years ago
- Spiking Convolutional Neural Networks☆64Updated 5 years ago
- Temporal backpropagation for spiking neural networks with one spike per neuron, by S. R. Kheradpisheh and T. Masquelier, International Jo…☆59Updated 3 years ago
- FeedForward Propagation Through Time on Spiking Neural Network (SNNs)☆45Updated last year
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆97Updated 3 years ago
- A library for deep learning with Spiking Neural Networks (SNN).☆24Updated last week
- Code from our paper: SuperSpike: Supervised learning in multi-layer spiking neural networks.☆55Updated 6 years ago
- Datasets recorded from Neuromorphic Sensors or Conversions using Simulations of Sensors☆29Updated 6 months ago
- Notebooks illustrating the use of Norse, a library for deep-learning with spiking neural networks.☆26Updated 5 months ago
- ☆42Updated 5 years ago
- A PyTorch implementation of EventProp [https://arxiv.org/abs/2009.08378], a method to train Spiking Neural Networks☆49Updated 4 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
- ☆33Updated 4 years ago
- Plugin for Sinabs, implementing the EXODUS algorithm for training SNNs efficiently with BPTT☆27Updated 2 months ago
- This repo is the implementation of the spatio-temporal credit assignment （STCA） algorithm for training deep spiking neural networks.☆25Updated 5 years ago
- Using spiking neurons and spike-timing-dependent plasticity to classify the MNIST handwritten digits.☆154Updated 5 years ago
- Benchmark harness and baseline results for the NeuroBench algorithm track.☆63Updated this week
- Pure python implementation of unsupervised MNIST classification using Spiking Neural Networks (using STDP)☆25Updated 2 years ago
- This repository will host models, modules, algorithms and applications developed by the INRC Community to run on the Intel Loihi Platform…☆81Updated last year
- A python implementation of a spiking neural network with STDP and Reinforcement learning methods☆121Updated 7 years ago
- Tutorial for surrogate gradient learning in spiking neural networks☆291Updated 3 months ago
- A simple from scratch implementation of a Spiking-Neural-Network with STDP in Python which is beeing trained on MNIST.☆28Updated 2 months ago
- ☆67Updated 3 years ago
- Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks☆95Updated 2 years ago
- Basic SNN propogating spikes between LIF neurons☆82Updated 6 years ago