AidanRocke / Free_Energy_experimentsLinks
An exploration of the free energy principle using deep reinforcement learning
☆48Updated 7 years ago
Alternatives and similar repositories for Free_Energy_experiments
Users that are interested in Free_Energy_experiments are comparing it to the libraries listed below
Sorting:
- Code for "Biologically plausible learning in recurrent neural networks", Miconi et al. eLife 2017☆37Updated 6 years ago
- Predictive coding in Python☆66Updated last year
- Implementation of the two-step-task as described in "Prefrontal cortex as a meta-reinforcement learning system" and "Learning to Reinforc…☆58Updated 6 years ago
- A toy model of Friston's active inference in Tensorflow☆41Updated 7 years ago
- 2019 talk at GECCO☆68Updated 6 years ago
- Code accompanying the paper: Mattar, M. G., & Daw, N. D. (2018). Prioritized memory access explains planning and hippocampal replay. bioR…☆29Updated 7 years ago
- Free Energy Principle and Active Inference tutorials for newbies☆49Updated 4 years ago
- A repository for major/influential FEP and active inference papers.☆198Updated 4 years ago
- Deep learning in a spiking neural network using segregated dendrites.☆84Updated 8 years ago
- Modular Object-Oriented Games (MOOG): Python-based game engine for reinforcement learning, psychology, and neurophysiology.☆37Updated 4 months ago
- ☆29Updated 5 years ago
- ☆16Updated 7 years ago
- ☆114Updated last year
- Responses of 10,000 neurons to 2,800 natural images☆68Updated 5 years ago
- Tutorials on learning and using successor representations.☆52Updated 5 years ago
- Mixture Density Networks (Bishop, 1994) tutorial in JAX☆60Updated 5 years ago
- Research of a deep predictive coding model for unsupervised representation learning from video and audio data.☆30Updated 5 years ago
- Deep active inference agents using Monte-Carlo methods☆89Updated last month
- Implementation of the supervised learning experiments in Vector-based navigation using grid-like representations in artificial agents, as…☆254Updated 4 years ago
- Train self-modifying neural networks with neuromodulated plasticity☆77Updated 5 years ago
- Python package that implements Continuous Time Recurrent Neural Networks (CTRNNs)☆44Updated 3 years ago
- Bandits Environments for the OpenAI Gym☆89Updated 5 years ago
- Deep Successor Representation☆17Updated 7 years ago
- ☆13Updated 2 years ago
- ☆96Updated 7 years ago
- An ongoing collection of ipython notebooks on neuroscience from xcorr: computational neuroscience.☆78Updated 2 years ago
- Code and report for APMA136 Final Project☆19Updated 10 years ago
- Active inference implementation of dynamic multi-armed bandits☆19Updated 3 weeks ago
- Understanding computation in artificial and biological recurrent networks through the lens of dynamical systems.☆381Updated 4 years ago
- ☆39Updated last year