NeuromorphicComputing / STPNLinks
☆29Updated last year
Alternatives and similar repositories for STPN
Users that are interested in STPN are comparing it to the libraries listed below
Sorting:
- ☆86Updated last year
- A PyTorch implementation of EventProp [https://arxiv.org/abs/2009.08378], a method to train Spiking Neural Networks☆52Updated 5 years ago
- Training Recurrent Neural Networks via Forward Propagation Through Time☆42Updated 4 years ago
- Code to train on MNIST, CIFAR-10 and ImageNet using burstprop.☆37Updated 4 years ago
- ☆96Updated last year
- Meta-Learning through Hebbian Plasticity in Random Networks: https://arxiv.org/abs/2007.02686☆140Updated 4 years ago
- Python implementation of the methods in Meulemans et al. 2020 - A Theoretical Framework For Target Propagation☆32Updated 11 months ago
- BioTorch is a PyTorch framework specializing in biologically plausible learning algorithms☆51Updated last year
- Code to accompany our paper "The combination of Hebbian and predictive plasticity learns invariant object representations in deep sensory…☆26Updated 8 months ago
- Auryn-based simulation of multiplexing and burst-dependent plasticity☆24Updated 4 years ago
- ☆14Updated 4 years ago
- Spiking neural networks in JAX with equinox.☆27Updated last year
- Automatic Hebbian learning in multi-layer convolutional networks with PyTorch, by expressing Hebbian plasticity rules as gradients☆40Updated 2 years ago
- Neurons learn by predicting future activity☆29Updated 3 years ago
- Fully documented Pytorch implementation of the Equilibrium Propagation algorithm.☆37Updated 5 years ago
- Tutorial for surrogate gradient learning in spiking neural networks☆335Updated last year
- Public code for Illing, Ventura, Bellec & Gerstner 2021: Local plasticity rules can learn deep representations using self-supervised cont…☆25Updated last year
- Minimizing Control for Credit Assignment with Strong Feedback☆14Updated 11 months ago
- Simulation of spiking neural networks (SNNs) using PyTorch.☆43Updated last year
- ☆45Updated 3 years ago
- Implementation of feedback alignment learning in PyTorch☆31Updated 2 years ago
- Notebooks illustrating the use of Norse, a library for deep-learning with spiking neural networks.☆32Updated last year
- Spyx: Spiking Neural Networks in JAX☆125Updated 11 months ago
- A library for deep learning with Spiking Neural Networks (SNN).☆34Updated this week
- Pytorch implementation of Hebbian learning algorithms to train deep convolutional neural networks.☆28Updated last year
- A curated list of materials for Spiking Neural Networks, 3rd generation of artificial neural networks.☆67Updated 3 years ago
- Code and data to the publication "SpikE: spike-based embeddings for multi-relational graph data".☆14Updated 2 years ago
- Implementation/simulation of the predictive forward-forward credit assignment algorithm for training neurobiologically-plausible recurren…☆60Updated 2 years ago
- A lightweight and flexible framework for Hebbian learning in PyTorch.☆90Updated last year
- Code for the paper "Predictive Coding Approximates Backprop along Arbitrary Computation Graphs"☆161Updated 4 years ago