ago109 / predictive-forward-forwardLinks
Implementation/simulation of the predictive forward-forward credit assignment algorithm for training neurobiologically-plausible recurrent neural network models.
☆63Updated 2 years ago
Alternatives and similar repositories for predictive-forward-forward
Users that are interested in predictive-forward-forward are comparing it to the libraries listed below
Sorting:
- NGC-Learn: Neurobiological Systems Simulation and NeuroAI Design in Python☆171Updated 2 weeks ago
- Reimplementation of Geoffrey Hinton's Forward-Forward Algorithm☆160Updated 2 years ago
- Forward Pass Learning and Inference Library, for neural networks and general intelligence, Signal Propagation (sigprop)☆55Updated 2 years ago
- Spyx: Spiking Neural Networks in JAX☆130Updated last week
- BioTorch is a PyTorch framework specializing in biologically plausible learning algorithms☆56Updated last year
- ☆92Updated last year
- Predictive Coding JAX-based library☆86Updated 8 months ago
- Neurons learn by predicting future activity☆30Updated 4 years ago
- A lightweight and flexible framework for Hebbian learning in PyTorch.☆95Updated last year
- Implementation of feedback alignment learning in PyTorch☆31Updated 2 years ago
- Example of Dense Associative Memory training on MNIST☆42Updated 3 years ago
- Pytorch implementation of Hebbian learning algorithms to train deep convolutional neural networks.☆27Updated last year
- Code to simulate energy-based analog systems and equilibrium propagation☆31Updated 9 months ago
- Code for the paper "Predictive Coding Approximates Backprop along Arbitrary Computation Graphs"☆167Updated 5 years ago
- This repository contains the code for the paper "Inferring Neural Activity Before Plasticity: A Foundation for Learning Beyond Backpropag…☆141Updated 2 years ago
- ☆31Updated 2 years ago
- ☆313Updated last year
- PyTorch Implementation of the paper "A Neuro-vector-symbolic architecture for Solving Raven's Progressive Matrices" published in Nature M…☆100Updated 3 months ago
- Spiking neural networks in JAX with equinox.☆27Updated last year
- Public code for Illing, Ventura, Bellec & Gerstner 2021: Local plasticity rules can learn deep representations using self-supervised cont…☆25Updated last year
- repo for code for paper on general theory associative memory models☆21Updated 3 years ago
- Repository for example implementation of spatially-embedded RNNs. See https://www.jachterberg.com/seRNN for more information.☆47Updated 5 months ago
- Automatic Hebbian learning in multi-layer convolutional networks with PyTorch, by expressing Hebbian plasticity rules as gradients☆40Updated 2 years ago
- Code behind the work "Single Cortical Neurons as Deep Artificial Neural Networks", published in Neuron 2021☆161Updated 4 years ago
- A repository collating interesting and/or influential predictive coding papers☆90Updated 4 years ago
- Python implementation of the methods in Meulemans et al. 2020 - A Theoretical Framework For Target Propagation☆32Updated last year
- Implementation of the "Online learning of long-range dependencies" paper, NeurIPS 2023☆21Updated last year
- ☆29Updated 3 years ago
- Unofficial implementation of Linear Recurrent Units, by Deepmind, in Pytorch☆73Updated 8 months ago
- Tutorial for surrogate gradient learning in spiking neural networks☆349Updated last year