BerenMillidge / Theory_Associative_MemoryLinks
repo for code for paper on general theory associative memory models
☆21Updated 3 years ago
Alternatives and similar repositories for Theory_Associative_Memory
Users that are interested in Theory_Associative_Memory are comparing it to the libraries listed below
Sorting:
- Predictive Coding JAX-based library☆86Updated 8 months ago
- Code for the paper "Predictive Coding Approximates Backprop along Arbitrary Computation Graphs"☆167Updated 5 years ago
- ☆41Updated 3 years ago
- A repository collating interesting and/or influential predictive coding papers☆90Updated 4 years ago
- ☆14Updated 3 years ago
- Meta-Learning through Hebbian Plasticity in Random Networks: https://arxiv.org/abs/2007.02686☆145Updated 4 years ago
- Predictive coding in Python☆70Updated last year
- A lightweight and flexible framework for Hebbian learning in PyTorch.☆95Updated last year
- A Python Implementation of Predictive Coding (Whittington & Bogacz 2017)☆18Updated 5 years ago
- Python implementation of the methods in Meulemans et al. 2020 - A Theoretical Framework For Target Propagation☆31Updated last year
- A repository for major/influential FEP and active inference papers.☆217Updated 4 years ago
- This is the code repository associated with the paper "Abstractors and relational cross-attention: An inductive bias for explicit relati…☆21Updated last year
- Code for the paper Deep Active Inference as Variational Policy Gradients.☆27Updated 6 years ago
- A short conceptual replication of "Prefrontal cortex as a meta-reinforcement learning system" in Jax.☆17Updated 2 years ago
- Code for "Bayesian Structure Learning with Generative Flow Networks"☆94Updated 3 years ago
- Bayesian model reduction for probabilistic machine learning☆11Updated 6 months ago
- ☆12Updated 4 months ago
- ☆112Updated 3 years ago
- Deep active inference agents using Monte-Carlo methods☆96Updated 7 months ago
- 🧊 🚩Comparison of active inference, q-learning and bayesian rl using modified FrozenLake environment☆34Updated 5 years ago
- A PyTorch implementation of a Generative Flow Network (GFlowNet) proposed by Bengio et al. (2021)☆44Updated 2 years ago
- Official code for Coupled Oscillatory RNN (ICLR 2021, Oral)☆53Updated 4 years ago
- ☆41Updated 3 years ago
- Support material for MAT6115, Université de Montréal, Fall 2018☆28Updated 2 years ago
- This repository contains code for applying Riemannian geometry in machine learning.☆78Updated 4 years ago
- NGC-Learn: Neurobiological Systems Simulation and NeuroAI Design in Python☆172Updated last week
- Pytorch optimiser for training ANNs with exponentiated gradient desent☆19Updated 9 months ago
- ☆14Updated 4 years ago
- Train self-modifying neural networks with neuromodulated plasticity☆78Updated 6 years ago
- Modular Object-Oriented Games (MOOG): Python-based game engine for reinforcement learning, psychology, and neurophysiology.☆37Updated 4 months ago