GabrieleLagani / HebbianLearningLinks
Pytorch implementation of Hebbian learning algorithms to train deep convolutional neural networks.
☆28Updated last year
Alternatives and similar repositories for HebbianLearning
Users that are interested in HebbianLearning are comparing it to the libraries listed below
Sorting:
- Automatic Hebbian learning in multi-layer convolutional networks with PyTorch, by expressing Hebbian plasticity rules as gradients☆40Updated 2 years ago
- ☆84Updated last year
- Python implementation of the methods in Meulemans et al. 2020 - A Theoretical Framework For Target Propagation☆32Updated 9 months ago
- ☆14Updated 4 years ago
- A lightweight and flexible framework for Hebbian learning in PyTorch.☆88Updated last year
- Public code for Illing, Ventura, Bellec & Gerstner 2021: Local plasticity rules can learn deep representations using self-supervised cont…☆24Updated last year
- Implementation of feedback alignment learning in PyTorch☆31Updated 2 years ago
- Implementation/simulation of the predictive forward-forward credit assignment algorithm for training neurobiologically-plausible recurren…☆60Updated 2 years ago
- ☆29Updated last year
- Neurons learn by predicting future activity☆29Updated 3 years ago
- Pytorch implementation of Hebbian learning algorithms to train deep convolutional neural networks.☆31Updated 3 years ago
- A PyTorch implementation of EventProp [https://arxiv.org/abs/2009.08378], a method to train Spiking Neural Networks☆51Updated 4 years ago
- Meta-Learning through Hebbian Plasticity in Random Networks: https://arxiv.org/abs/2007.02686☆139Updated 4 years ago
- Training Recurrent Neural Networks via Forward Propagation Through Time☆42Updated 4 years ago
- Study on the applicability of Direct Feedback Alignment to neural view synthesis, recommender systems, geometric learning, and natural la…☆90Updated 3 years ago
- ☆18Updated 2 years ago
- BioTorch is a PyTorch framework specializing in biologically plausible learning algorithms☆51Updated last year
- Simulation of spiking neural networks (SNNs) using PyTorch.☆43Updated last year
- Code to simulate energy-based analog systems and equilibrium propagation☆29Updated 4 months ago
- Spyx: Spiking Neural Networks in JAX☆124Updated 10 months ago
- Example of Dense Associative Memory training on MNIST☆39Updated 2 years ago
- Code and data to the publication "SpikE: spike-based embeddings for multi-relational graph data".☆14Updated 2 years ago
- Fully documented Pytorch implementation of the Equilibrium Propagation algorithm.☆36Updated 5 years ago
- Code for the paper "Predictive Coding Approximates Backprop along Arbitrary Computation Graphs"☆159Updated 4 years ago
- Implementation of "Gradients without backpropagation" paper (https://arxiv.org/abs/2202.08587) using functorch☆111Updated 2 years ago
- Predictive Coding JAX-based library☆78Updated 4 months ago
- ☆26Updated 2 years ago
- NGC-Learn: Neurobiological Systems Design and Simulation in Python☆159Updated 3 weeks ago
- Testing Difference Target Propagation (DTP) on MNIST.☆12Updated 4 years ago
- Tutorial for surrogate gradient learning in spiking neural networks☆326Updated last year