# CompCogModel

**Repository Path**: hcp4715/comp-cog-model

## Basic Information

- **Project Name**: CompCogModel
- **Description**: A course for computational cognitive modelling
- **Primary Language**: R
- **License**: CC-BY-4.0
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 1
- **Created**: 2026-01-27
- **Last Updated**: 2026-01-31

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

This is a repo for a new course about computational cognitive modelling.

# Contributors
- Instructor: Prof Hu Chuan-Peng
- TA: Xueyang Zhu
- TA: Zhenxin Cai
- TA: Qihui Wang

# Syllabus

# References
- 《认知和行为的计算建模》
- Lee, M. D., & Wagenmakers, E.-J. (2013). Bayesian cognitive modeling: A practical course (pp. xiii, 264). New York, NY, US: Cambridge University Press. https://doi.org/10.1017/CBO9781139087759
- Gallistel, C. R., & King, A. P. (2009). Memory and the computational brain: Why cognitive science will transform neuroscience (pp. xvi, 319). Hoboken, NJ, US: Wiley Blackwell. https://doi.org/10.1002/9781444310498 第一到第八章
- Wang, X.-J. (2025). Theoretical Neuroscience: Understanding Cognition. Boca Raton: CRC Press. https://doi.org/10.1201/9781003459361 第五到第八章
- Ma, W. J., Kording, K. P., & Goldreich, D. (2023). Bayesian Models of Perception and Action: An Introduction. The MIT Press.
- Griffiths, T. L., Chater, N., & Tenenbaum, J. B. (Eds.). (2024). Bayesian Models of Cognition: Reverse Engineering the Mind. Cambridge, Massachusetts: The MIT Press. 第一到第三章
- Sam Gershman (2026). Computational Foundations of Cognitive Neuroscience. https://gershmanlab.com/textbook.html
- Nicenboim, B., Schad, D. J., & Vasishth, S. (2023). An Introduction to Bayesian Data Analysis for Cognitive Science. Retrieved from https://vasishth.github.io/bayescogsci/book/#
 第十五到第十八章