The bayescog_part2 from lei-zhang

bayescog_part2's Introduction

Bayesian Statistics and Bayesian Cognitive Modeling (BayesCog), Part 2
UKE, Hamburg (hybrid), 2023
Dr. Lei Zhang, University of Birmingham, UK

Materials from Part 1 can be found here.

Teaching materials for my BayesCog workshop, Part 2.

What's new:

Dec. 2023:

Updated some recent literature and materials
Added conceptualizations of cognitive & computational modeling
Included a new section on the "Principled workflow"

May 2021:

Added Crawley & Zhang 2020 for explaining optimal learning rates
Updated some recent literature
Added Cognitive Modeling Academy Hamburg when introducing further courses

Feb. 2020:

Add details of the interpretation on RL parameters

List of Folders and their Content

Folder	Task	Model
06.reinforcement_learning	2-armed bandit task	Simple reinforcement learning (RL)
07.optm_rl	2-armed bandit task	Simple reinforcement learning (RL)
08.compare_models	Probabilistic reversal learning task	Simple and fictitious RL models
09.debugging	Memory Retention	Exponential decay model
10.model_based	2-armed bandit task	Simple RL model
11.delay_discounting	Delay discounting task	Hyperbolic and exponential discounting model

For bug reports, please contact Lei Zhang ([email protected], or @lei_zhang_lz).

Thanks to Markdown Cheatsheet and shields.io.

LICENSE

This license (CC BY-NC 4.0) gives you the right to re-use and adapt, as long as you note any changes you made, and provide a link to the original source. Read here for more details.

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