sjgershm / RL-tutorial
Reinforcement learning tutorial
☆25Updated 7 years ago
Alternatives and similar repositories for RL-tutorial:
Users that are interested in RL-tutorial are comparing it to the libraries listed below
- Tutorial material on active Bayesian inference from the Computational Psychiatry Conference in Zurich 2018☆31Updated 4 years ago
- Seminar on Advanced Topics in Theoretical Neuroscience - Columbia University 2020☆10Updated 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
- This project has moved to https://github.com/nimh-dsst/OpenCogData☆25Updated last year
- When do neural networks learn sequential vs. persistent solutions in short-term memory tasks?☆16Updated 5 years ago
- Matlab exercises with solutions to implement and visualise concepts from Sara Solla's talk on World Wide Neuro (Apr 29, 2020)☆20Updated 3 years ago
- Dynamic Causal Modelling for MNE and the nipy ecosystem☆19Updated 7 years ago
- Code, data, and tasks for "When does model-based control pay off?" (Kool et al., 2016)☆22Updated 7 years ago
- Recurrent state-space models for decision making☆30Updated 2 years ago
- ☆18Updated 8 years ago
- Materials for Methods in Neuroscience at Dartmouth (MIND) 2019 Summer School on Cognitive Maps☆51Updated 4 years ago
- Lu, Q., Hasson, U., & Norman, K. A. (2022). A neural network model of when to retrieve and encode episodic memories. eLife☆40Updated 3 years ago
- Public repository for the Introduction to modeling cognitive processes book.☆40Updated 2 months ago
- Everything needed to replicate the figures from the paper "Engineering recurrent neural networks from task-relevant manifolds and dynamic…☆12Updated 5 years ago
- Research of a deep predictive coding model for unsupervised representation learning from video and audio data.☆30Updated 5 years ago
- Reinforcement learning + drift-diffusion modeling☆36Updated 8 years ago
- A TensorFlow 2.0 implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.☆19Updated last year
- ☆14Updated 4 years ago
- Models of Sequential Decision-Making☆45Updated last month
- Pytorch implementation of LFADS for demo at CAN workshop☆19Updated 5 years ago
- ☆14Updated 5 years ago
- Tikhonov regression in python☆30Updated last year
- Inverse binomial sampling for efficient log-likelihood estimation of simulator models in MATLAB☆32Updated last year
- tomsup 👍 Theory of Mind Simulation using Python. A package that allows for easy agent-based modelling of recursive Theory of Mind☆67Updated last year
- Simple Matlab code to fit reinforcement learning models to choice data☆17Updated 5 years ago
- PyHGF: A neural network library for predictive coding☆64Updated 2 weeks ago
- ☆20Updated 10 months ago
- This code package is for the Tensor-Maximum-Entropy (TME) method. This method generates random surrogate data that preserves a specified …☆18Updated 7 years ago
- ☆24Updated 8 months ago
- computational and brain/behavior modeling☆32Updated 3 years ago