KennethEnevoldsen / tomsupLinks
tomsup π Theory of Mind Simulation using Python. A package that allows for easy agent-based modelling of recursive Theory of Mind
β71Updated last month
Alternatives and similar repositories for tomsup
Users that are interested in tomsup are comparing it to the libraries listed below
Sorting:
- This project has moved to https://github.com/nimh-dsst/OpenCogDataβ25Updated 2 years ago
- Reinforcement learning tutorialβ24Updated 8 years ago
- Public repository for the Introduction to modeling cognitive processes book.β43Updated last month
- Experimentology textbookβ63Updated 3 months ago
- Predictive coding in Pythonβ70Updated last year
- A block modeling system for cognitive neuroscienceβ105Updated this week
- Code accompanying the paper: Mattar, M. G., & Daw, N. D. (2018). Prioritized memory access explains planning and hippocampal replay. bioRβ¦β31Updated 7 years ago
- Materials for Methods in Neuroscience at Dartmouth (MIND) 2019 Summer School on Cognitive Mapsβ51Updated 5 years ago
- Tools for serving and storing data from online experiments.β18Updated 6 months ago
- PyHGF: A neural network library for predictive codingβ116Updated last week
- Tutorial material on active Bayesian inference from the Computational Psychiatry Conference in Zurich 2018β34Updated 5 years ago
- NYU PSYCH-GA 3405.002 / DS-GS 3001.006 : Computational cognitive modelingβ205Updated last year
- Code, data, and tasks for "When does model-based control pay off?" (Kool et al., 2016)β22Updated 8 years ago
- Models of Sequential Decision-Makingβ52Updated last year
- β35Updated 8 years ago
- β23Updated 2 years ago
- Supplementary scripts for Step-by-step active inference modelling tutorialβ126Updated last year
- Project investigating human physical construction behaviorβ12Updated 2 years ago
- Lu, Q., Hasson, U., & Norman, K. A. (2022). A neural network model of when to retrieve and encode episodic memories. eLifeβ44Updated 3 years ago
- Tools for computational psychiatry research.β11Updated last year
- Linear programming solver for paper-reviewer matching and mind-matchingβ86Updated 7 months ago
- HDDM is a python module that implements Hierarchical Bayesian parameter estimation of Drift Diffusion Models (via PyMC).β298Updated last year
- Tutorials for MIND2019β16Updated 6 years ago
- a happy approach to online behavioral researchβ20Updated last month
- Repo for the paper "A tutorial on open-source large language models for behavioral science"β41Updated last year
- Hierarchical Bayesian modeling of RLDM tasks, using R & Pythonβ249Updated last week
- Development of HSSM packageβ106Updated this week
- Code associated with "Anxiety, avoidance, and sequential evaluation"β17Updated 4 years ago
- Code for the figures in the "Ten Simple Rules for Computational Modeling of Behavioral Data" paper.β103Updated 6 years ago
- Estimating the functional dimensionality of neural representationsβ19Updated 3 years ago