jsalbert / biotorch
BioTorch is a PyTorch framework specializing in biologically plausible learning algorithms
☆45Updated 8 months ago
Related projects ⓘ
Alternatives and complementary repositories for biotorch
- ☆66Updated 10 months ago
- Automatic Hebbian learning in multi-layer convolutional networks with PyTorch, by expressing Hebbian plasticity rules as gradients☆37Updated last year
- PyTorch implementation of linear and convolutional layers with fixed, random feedback weights.☆13Updated 3 years ago
- Public code for Illing, Ventura, Bellec & Gerstner 2021: Local plasticity rules can learn deep representations using self-supervised cont…☆24Updated 7 months ago
- A repository collating interesting and/or influential predictive coding papers☆58Updated 3 years ago
- ☆27Updated 5 years ago
- A lightweight and flexible framework for Hebbian learning in PyTorch.☆79Updated 8 months ago
- A PyTorch implementation of EventProp [https://arxiv.org/abs/2009.08378], a method to train Spiking Neural Networks☆49Updated 4 years ago
- Python implementation of the methods in Meulemans et al. 2020 - A Theoretical Framework For Target Propagation☆28Updated 3 weeks ago
- Implementation of feedback alignment learning in PyTorch☆29Updated last year
- Code to train on MNIST, CIFAR-10 and ImageNet using burstprop.☆37Updated 3 years ago
- Auryn-based simulation of multiplexing and burst-dependent plasticity☆22Updated 3 years ago
- ☆28Updated last year
- ☆13Updated 3 years ago
- Meta-learning local synaptic plasticity for continual familiarity detection☆15Updated 2 years ago
- Code to accompany our paper "The combination of Hebbian and predictive plasticity learns invariant object representations in deep sensory…☆22Updated 10 months ago
- ☆13Updated 3 years ago
- Neurons learn by predicting future activity☆27Updated 3 years ago
- repository for grid cell network code☆53Updated last year
- ☆87Updated 8 months ago
- Fully documented Pytorch implementation of the Equilibrium Propagation algorithm.☆31Updated 4 years ago
- Code for the paper "Predictive Coding Approximates Backprop along Arbitrary Computation Graphs"☆149Updated 3 years ago
- Study on the applicability of Direct Feedback Alignment to neural view synthesis, recommender systems, geometric learning, and natural la…☆84Updated 2 years ago
- Training Recurrent Neural Networks via Forward Propagation Through Time☆36Updated 3 years ago
- ☆35Updated 2 years ago
- A library for deep learning with Spiking Neural Networks (SNN).☆24Updated last week
- Introducing dendrites to spiking neural networks. Designed for the Brian 2 simulator.☆36Updated 3 weeks ago
- Example of Dense Associative Memory training on MNIST☆34Updated 2 years ago
- Some methods for comparing network representations in deep learning and neuroscience.☆125Updated 3 months ago
- ☆46Updated 3 years ago