AidanRocke / Free_Energy_experiments
An exploration of the free energy principle using deep reinforcement learning
☆48Updated 6 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
- Code for "Biologically plausible learning in recurrent neural networks", Miconi et al. eLife 2017☆35Updated 5 years ago
- Predictive coding in Python☆65Updated 11 months ago
- A toy model of Friston's active inference in Tensorflow☆40Updated 7 years ago
- neuronal message passing☆17Updated 6 years ago
- Deep learning in a spiking neural network using segregated dendrites.☆84Updated 7 years ago
- Implementation of the two-step-task as described in "Prefrontal cortex as a meta-reinforcement learning system" and "Learning to Reinforc…☆57Updated 5 years ago
- Code for simulations in "Computational mechanisms of curiosity and goal-directed exploration"☆10Updated 4 years ago
- Modular Object-Oriented Games (MOOG): Python-based game engine for reinforcement learning, psychology, and neurophysiology.☆33Updated last month
- Interpretable neural spike train models with fully-Bayesian inference algorithms☆47Updated 6 years ago
- ☆13Updated 2 years ago
- Responses of 10,000 neurons to 2,800 natural images☆68Updated 5 years ago
- Free Energy Principle and Active Inference tutorials for newbies☆45Updated 4 years ago
- ☆24Updated 4 years ago
- ☆29Updated 5 years ago
- Python package that implements Continuous Time Recurrent Neural Networks (CTRNNs)☆42Updated 3 years ago
- A Python Implementation of Predictive Coding (Whittington & Bogacz 2017)☆15Updated 4 years ago
- Code accompanying the paper: Mattar, M. G., & Daw, N. D. (2018). Prioritized memory access explains planning and hippocampal replay. bioR…☆28Updated 6 years ago
- Tutorials on learning and using successor representations.☆52Updated 5 years ago
- ☆38Updated last year
- ☆112Updated last year
- Research of a deep predictive coding model for unsupervised representation learning from video and audio data.☆29Updated 5 years ago
- Train self-modifying neural networks with neuromodulated plasticity☆76Updated 5 years ago
- subLSTMs for pytorch from Cortical microcircuits as gated-recurrent neural networks☆16Updated 7 years ago
- Train excitatory-inhibitory recurrent neural networks for cognitive tasks.☆49Updated 9 years ago
- ☆16Updated 7 years ago
- An ongoing collection of ipython notebooks on neuroscience from xcorr: computational neuroscience.☆78Updated 2 years ago
- Flexible modulation of sequence generation in the entorhinal-hippocampal system.☆13Updated 2 years ago
- repository for grid cell network code☆61Updated 2 years ago
- Deep active inference agents using Monte-Carlo methods☆87Updated 3 years ago
- ☆94Updated 6 years ago