julestalloen / pytorch-hebbian
A lightweight and flexible framework for Hebbian learning in PyTorch.
☆81Updated 11 months ago
Alternatives and similar repositories for pytorch-hebbian:
Users that are interested in pytorch-hebbian are comparing it to the libraries listed below
- Automatic Hebbian learning in multi-layer convolutional networks with PyTorch, by expressing Hebbian plasticity rules as gradients☆37Updated last year
- BioTorch is a PyTorch framework specializing in biologically plausible learning algorithms☆47Updated 10 months ago
- Code for the paper "Predictive Coding Approximates Backprop along Arbitrary Computation Graphs"☆150Updated 4 years ago
- A repository collating interesting and/or influential predictive coding papers☆66Updated 3 years ago
- Fully documented Pytorch implementation of the Equilibrium Propagation algorithm.☆31Updated 5 years ago
- ☆38Updated last year
- A PyTorch implementation of EventProp [https://arxiv.org/abs/2009.08378], a method to train Spiking Neural Networks☆49Updated 4 years ago
- Code to accompany our paper "The combination of Hebbian and predictive plasticity learns invariant object representations in deep sensory…☆23Updated 2 weeks ago
- Implementation of feedback alignment learning in PyTorch☆30Updated last year
- ☆35Updated 2 years ago
- Python implementation of the methods in Meulemans et al. 2020 - A Theoretical Framework For Target Propagation☆31Updated 2 months ago
- repository for grid cell network code☆59Updated 2 years ago
- Modular Object-Oriented Games (MOOG): Python-based game engine for reinforcement learning, psychology, and neurophysiology.☆33Updated last year
- Predictive coding in Python☆65Updated 10 months ago
- ☆14Updated 3 years ago
- Code to train on MNIST, CIFAR-10 and ImageNet using burstprop.☆37Updated 3 years ago
- ☆28Updated last year
- Code for "Biologically plausible learning in recurrent neural networks", Miconi et al. eLife 2017☆35Updated 5 years ago
- ☆27Updated 5 years ago
- Meta-Learning through Hebbian Plasticity in Random Networks: https://arxiv.org/abs/2007.02686☆131Updated 3 years ago
- Simulation of spiking neural networks (SNNs) using PyTorch.☆44Updated 11 months ago
- Public code for Illing, Ventura, Bellec & Gerstner 2021: Local plasticity rules can learn deep representations using self-supervised cont…☆24Updated 9 months ago
- Predictive Coding in the Visual Cortex: a Functional Interpretation of Some Extra-classical Receptive-field Effects☆23Updated 5 years ago
- Example of Dense Associative Memory training on MNIST☆35Updated 2 years ago
- Auryn-based simulation of multiplexing and burst-dependent plasticity☆22Updated 3 years ago
- Neurons learn by predicting future activity☆27Updated 3 years ago
- Some methods for comparing network representations in deep learning and neuroscience.☆129Updated 6 months ago
- BrainProp: How the brain can implement reward-based error backpropagation☆17Updated 2 years ago
- ☆13Updated 2 years ago
- Introducing dendrites to spiking neural networks. Designed for the Brian 2 simulator.☆37Updated this week