BerenMillidge / Theory_Associative_MemoryLinks
repo for code for paper on general theory associative memory models
☆20Updated 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:
- Meta-Learning through Hebbian Plasticity in Random Networks: https://arxiv.org/abs/2007.02686☆139Updated 4 years ago
- ☆14Updated 2 years ago
- Predictive Coding JAX-based library☆81Updated 4 months ago
- ☆41Updated 3 years ago
- Bayesian model reduction for probabilistic machine learning☆11Updated 2 months ago
- ☆12Updated 3 weeks ago
- 🧊 🚩Comparison of active inference, q-learning and bayesian rl using modified FrozenLake environment☆34Updated 5 years ago
- Code for the paper Deep Active Inference as Variational Policy Gradients.☆25Updated 5 years ago
- Deep active inference agents using Monte-Carlo methods☆92Updated 3 months ago
- Minimizing Control for Credit Assignment with Strong Feedback☆14Updated 10 months ago
- Predictive coding in Python☆68Updated last year
- A short conceptual replication of "Prefrontal cortex as a meta-reinforcement learning system" in Jax.☆17Updated 2 years ago
- A repository for major/influential FEP and active inference papers.☆205Updated 4 years ago
- ☆19Updated 2 years ago
- A lightweight and flexible framework for Hebbian learning in PyTorch.☆89Updated last year
- Deep Successor Representation☆17Updated 7 years ago
- ☆14Updated 4 years ago
- A PyTorch implementation of a Generative Flow Network (GFlowNet) proposed by Bengio et al. (2021)☆43Updated 2 years ago
- Code for the paper "Predictive Coding Approximates Backprop along Arbitrary Computation Graphs"☆160Updated 4 years ago
- Python implementation of the methods in Meulemans et al. 2020 - A Theoretical Framework For Target Propagation☆32Updated 10 months ago
- NGC-Learn: Neurobiological Systems Simulation and NeuroAI Design in Python☆161Updated last month
- Animal-AI supports interdisciplinary research to help better understand human, animal, and artificial cognition.☆75Updated 3 months ago
- Official repository for the paper "Neural Differential Equations for Learning to Program Neural Nets Through Continuous Learning Rules" (…☆23Updated 3 months ago
- Code for "Meta Learning Backpropagation And Improving It" @ NeurIPS 2021 https://arxiv.org/abs/2012.14905☆33Updated 3 years ago
- A collection of meta-learning algorithms in Jax☆23Updated 3 years ago
- ☆55Updated 10 months ago
- Implementation of the "Online learning of long-range dependencies" paper, NeurIPS 2023☆19Updated 10 months ago
- Tutorials on learning and using successor representations.☆52Updated 5 years ago
- Implementation/simulation of the predictive forward-forward credit assignment algorithm for training neurobiologically-plausible recurren…☆60Updated 2 years ago
- Train self-modifying neural networks with neuromodulated plasticity☆78Updated 5 years ago