mcfrank / rules
Simple Bayesian rule learning model described in Frank & Tenenbaum (2011), Cognition
☆13Updated 9 years ago
Alternatives and similar repositories for rules:
Users that are interested in rules are comparing it to the libraries listed below
- Train excitatory-inhibitory recurrent neural networks for cognitive tasks.☆49Updated 9 years ago
- Introductory workshop to modeling and model fitting in cognitive and computational neuroscience☆15Updated 5 years ago
- This project has moved to https://github.com/nimh-dsst/OpenCogData☆25Updated last year
- Code, data, and tasks for "When does model-based control pay off?" (Kool et al., 2016)☆22Updated 7 years ago
- Tools for computational psychiatry research.☆9Updated 3 months ago
- Materials for Methods in Neuroscience at Dartmouth (MIND) 2019 Summer School on Cognitive Maps☆51Updated 5 years ago
- Materials for webppl tutorial☆52Updated 3 years ago
- tomsup 👍 Theory of Mind Simulation using Python. A package that allows for easy agent-based modelling of recursive Theory of Mind☆68Updated last year
- Kabuki is a Python toolbox that allows easy creation of hierarchical Bayesian models for the cognitive sciences.☆72Updated 2 years ago
- Code and website accompanying Farrell & Lewandowsky's (2017) book☆62Updated 2 years ago
- Code for the figures in the "Ten Simple Rules for Computational Modeling of Behavioral Data" paper.☆94Updated 5 years ago
- Lanugage of Thought (LOT) models in Python.☆33Updated 4 years ago
- Reinforcement learning + drift-diffusion modeling☆37Updated 8 years ago
- Python implementation of churiso☆18Updated 4 years ago
- A block modeling system for cognitive neuroscience☆88Updated this week
- ☆33Updated 8 years ago
- Materials for Methods in Neuroscience at Dartmouth (MIND) 2017 Summer School on Network Dynamics☆33Updated 5 years ago
- ☆14Updated 5 years ago
- ☆14Updated 5 years ago
- A repository of freely available SVG drawings for your publications, presentations etc.☆16Updated 9 years ago
- An open platform for science on Amazon Mechanical Turk.☆278Updated 8 months ago
- Inverse binomial sampling for efficient log-likelihood estimation of simulator models in MATLAB☆32Updated last year
- Code for our study looking at aversive learning online☆11Updated 2 years ago
- Tools for spike data analysis and visualization☆104Updated 2 years ago
- Code for simulations in "Computational mechanisms of curiosity and goal-directed exploration"☆10Updated 4 years ago
- Interpretable neural spike train models with fully-Bayesian inference algorithms☆47Updated 6 years ago
- ☆11Updated 5 years ago
- Public repository for the Introduction to modeling cognitive processes book.☆41Updated 4 months ago
- A customizable, scalable ecosystem for massive online psychological experiments☆26Updated 2 months ago
- ☆12Updated 6 years ago