Provisional Program

Day 1

10:00 Introduction
10:15 Udo Böhm – Basic Bayes
11:00 Andrew Heathcote – Evidence Accumulation Models (EAMs) – Introduction
12:00 Lunch
13:00 Andrew Heathcote – Fitting the Diffusion Model
15:00 Coffee/Tea
15:15 Andrew Heathcote – Fitting Race Models
16:00 Revision, Q&A and exercises
17:00 Drinks at CREA

Day 2

10:00 Dora Matzke/Sarah Kemp – Stop-signal models
12:00 Lunch
13:00 Niek Stevenson – Hierarchical Models – Introduction
15:00 Coffee/Tea
15:15 Niek Stevenson – Hierarchical Models – Extensions
16:00 Revision, Q&A and exercises

Day 3

10:00 Andrew Heathcote – Expressing Psychological Theories
12:00 Lunch
13:00 Niek Stevenson – Joint Modelling Across Tasks
14:00 Steven Miletic – Joint Modelling with fMRI
15:00 Coffee/Tea
15:15 Steven Miletic – Joint Modelling with fMRI
16:00 Revision, Q&A and exercises

Day 4

10:00 Niek Stevenson – Modelling Individual Differences using SEM
11:00 Steven Miletic – Time-varying EAMs
12:00 Lunch
13:00 Steven Miletic – Reinforcement-learning EAMs
15:00 Coffee/Tea
15:15 Niek Stevenson – Building Cognitive Architectures
16:00 Q&A, your data, and exercise

Day 5: BayesFlow

10:00 Stefan Radev/Michael Nunez – BayesFlow
16:00 Closing discussion