bambschool/BAMB2023

tutorials for 2023 version

Tutorials for each day of BAMB! 2023. Each folder contains two tutorial versions:

• basic tutorial file, not or only partially filled (eg. modeling_101.ipynb)
• tutorial with solutions (modeling_101_solutions.ipynb)

Day 1 - General Introduction to Behavioral Modelling

• Introductory lecture: What is a model ?
• Lectures, divided in 3 parts: part A - Model definition and estimation; part B - Parameter fitting and recovery; part C - Model comparison
• Tutorial, also divided in 3 parts: part A ; part B ; part C

Day 2 - Process Models of Decision Making: The Drift-Diffusion Model

• Tutorial slides: Simulating and fitting the drift-diffusion model
• Tutorial: Drift Diffusion Model

Day 3 - RL

• Tutorial: RL3A
• Tutorial RL3B

Day 4 - Recurrent Neural Networks

• Lecture slides
• Tutorial slides
• Tutorial: RNNs

Day 5 - Bayesian models

• Tutorial: Bayesian models

Day 6 - Latent variable models

• Tutorial: Mixture models and EM
• Tutorial: Hidden Markov models