meulemansalex / deep_feedback_control
Official code repository for the publication "Credit Assignment in Neural Networks through Deep Feedback Control".
☆10Updated last week
Related projects ⓘ
Alternatives and complementary repositories for deep_feedback_control
- Python implementation of the methods in Meulemans et al. 2020 - A Theoretical Framework For Target Propagation☆28Updated last week
- Minimizing Control for Credit Assignment with Strong Feedback☆13Updated last week
- Neurons learn by predicting future activity☆27Updated 3 years ago
- BioTorch is a PyTorch framework specializing in biologically plausible learning algorithms☆45Updated 8 months ago
- ☆67Updated 9 months ago
- Public code for Illing, Ventura, Bellec & Gerstner 2021: Local plasticity rules can learn deep representations using self-supervised cont…☆24Updated 6 months ago
- ☆28Updated last year
- Automatic Hebbian learning in multi-layer convolutional networks with PyTorch, by expressing Hebbian plasticity rules as gradients☆37Updated last year
- Code to accompany our paper "The combination of Hebbian and predictive plasticity learns invariant object representations in deep sensory…☆22Updated 9 months ago
- Auryn-based simulation of multiplexing and burst-dependent plasticity☆22Updated 3 years ago
- ☆34Updated 2 years ago
- ☆14Updated 3 years ago
- Code to train on MNIST, CIFAR-10 and ImageNet using burstprop.☆36Updated 3 years ago
- Repository to reproduce the results of the paper "Holomorphic Equilibrium Propagation Computes Exact Gradients Through Finite Size Oscill…☆8Updated 2 weeks ago
- A PyTorch implementation of EventProp [https://arxiv.org/abs/2009.08378], a method to train Spiking Neural Networks☆49Updated 4 years ago
- Meta-Learning through Hebbian Plasticity in Random Networks: https://arxiv.org/abs/2007.02686☆130Updated 3 years ago
- ☆27Updated 5 years ago
- A lightweight and flexible framework for Hebbian learning in PyTorch.☆79Updated 8 months ago
- Some methods for comparing network representations in deep learning and neuroscience.☆125Updated 3 months ago
- Introducing dendrites to spiking neural networks. Designed for the Brian 2 simulator.☆34Updated last week
- Fully documented Pytorch implementation of the Equilibrium Propagation algorithm.☆31Updated 4 years ago
- A repository collating interesting and/or influential predictive coding papers☆57Updated 3 years ago
- "Towards Scaling Difference Target Propagation by Learning Backprop Targets" (ICML 2022)☆10Updated last year
- Code for our NeurIPS 2021 paper: Sparsely Changing Latent States for Prediction and Planning in Partially Observable Domains☆22Updated last year
- A short conceptual replication of "Prefrontal cortex as a meta-reinforcement learning system" in Jax.☆14Updated last year
- Reinforcement learning with a network of spiking agents☆20Updated 4 years ago
- Training Recurrent Neural Networks via Forward Propagation Through Time☆36Updated 3 years ago
- A library for deep learning with Spiking Neural Networks (SNN).☆24Updated this week
- repo for code for paper on general theory associative memory models☆17Updated 2 years ago
- Benchmarking RL for POMDPs in Pure JAX [Code for "Structured State Space Models for In-Context Reinforcement Learning" (NeurIPS 2023)]☆86Updated 11 months ago