tnowotny / genn_eventpropLinks
Implementation of eventprop learning in GeNN
☆14Updated 9 months ago
Alternatives and similar repositories for genn_eventprop
Users that are interested in genn_eventprop are comparing it to the libraries listed below
Sorting:
- Training Recurrent Neural Networks via Forward Propagation Through Time☆42Updated 4 years ago
- Official implementation of our paper "Scalable Event-by-event Processing of Neuromorphic Sensory Signals With Deep State-Space Models"☆19Updated 3 weeks ago
- ☆30Updated 2 years ago
- jaxsnn is an event-based approach to machine-learning-inspired training and simulation of SNNs, including support for the BrainScaleS-2 n…☆26Updated last week
- A PyTorch implementation of EventProp [https://arxiv.org/abs/2009.08378], a method to train Spiking Neural Networks☆52Updated 5 years ago
- ☆90Updated last year
- Long short-term memory Spiking Neural Networks☆106Updated 5 years ago
- Spyx: Spiking Neural Networks in JAX☆126Updated last year
- Spiking neural networks in JAX with equinox.☆27Updated last year
- Fully documented Pytorch implementation of the Equilibrium Propagation algorithm.☆37Updated 5 years ago
- Implementation of feedback alignment learning in PyTorch☆31Updated 2 years ago
- Benchmark harness and baseline results for the NeuroBench algorithm track.☆97Updated 3 months ago
- Tutorial for surrogate gradient learning in spiking neural networks☆339Updated last year
- Notebooks illustrating the use of Norse, a library for deep-learning with spiking neural networks.☆33Updated last year
- Code for Limbacher, T. and Legenstein, R. (2020). H-Mem: Harnessing synaptic plasticity with Hebbian Memory Networks☆13Updated 3 years ago
- ☆96Updated last year
- Efficient Spiking Neural Network framework, built on top of PyTorch for GPU acceleration☆229Updated last year
- Neurons learn by predicting future activity☆29Updated 3 years ago
- PyTorch implementation of the eligibility propagation (e-prop) learning algorithm.☆54Updated 3 years ago
- A library for deep learning with Spiking Neural Networks (SNN).☆34Updated last week
- Experiments with spiking neural networks (SNNs) in PyTorch. See https://github.com/BINDS-LAB-UMASS/bindsnet for the successor to this pro…☆90Updated 7 years ago
- ☆18Updated 4 years ago
- Python implementation of the methods in Meulemans et al. 2020 - A Theoretical Framework For Target Propagation☆32Updated 11 months ago
- FeedForward Propagation Through Time on Spiking Neural Network (SNNs)☆57Updated 2 years ago
- Neuromorphic Intermediate Representation reference implementation☆133Updated last week
- ☆46Updated 3 years ago
- Code from our paper: SuperSpike: Supervised learning in multi-layer spiking neural networks.☆58Updated 7 years ago
- Liquid State Machines in Python and NEST☆74Updated 4 years ago
- Temporal backpropagation for spiking neural networks with one spike per neuron, by S. R. Kheradpisheh and T. Masquelier, International Jo…☆62Updated 4 years ago
- Deep learning for spiking neural networks☆69Updated last year