CIMCYC Workshop Computational modelling of behavioral data

After two decades of success of neuroimaging techniques, we are witnessing a growing popularity of approaches that aim at a better characterization of behavioral data in psychological experiments. Such characterization tries to offer a greater understanding of the effects of our manipulations on behavior (and the brain), beyond the important but somewhat limited insight we can gain from looking at mean reaction times and error rates. This workshop aims at providing an entry point for early career researchers into the field of computational modelling for cognitive science.

2

June 2022

Schedule

09:30

Introduction to computational models on decision making

15:00

Introduction to computational models on reinforcement learning (RL)

10:00

Distributional analyses and Drift Difussion Model (DDM)

15:30

RL theory

11:30

Hands-on session on DDM

17:00

Hands on session on RL

Speakers

Carlos González García

Universidad de Granada

Francesco Pupillo

Goethe Universität

Javier Ortiz-Tudela

Goethe Universität

Luc Vermeylen

Ghent University

Location

Mind, Brain, and Behavior Research Center

Granada (Spain)

Funded by