We are pleased to announce a course on Cognitive modeling using Matlab in the framework of the Methods Academy of the RTG 2753. Please find the details below:
Dates and times: 24th to the 26th of April
Day 1: 13:15 – 16:30
Day 2 & Day 3: 09:00 – 16:30
Instructors: Dr. Sophie Bavard and Dr. Chih-Chung Ting, Universität Hamburg
The objectives of the course are to highlight the growing demand for cognitive modeling in investigating underlying mechanisms of human behaviour and to introduce two dominant modeling frameworks: Reinforcement Learning and Sequential Sampling Models with a focus on the Drift Diffusion Model.
The course will cover the state-of-the-art cognitive computational modeling in psychology and neuroscience, and provide solid theoretical foundations to convey how computation modeling sharpens our hypotheses and our understanding of underlying cognitive processes.
On day 1 the two dominant modeling frameworks will be introduced. On days 2 and 3 the participants will gain theoretical as well as hands-on experience with model development and implementation, integrating the strength of both models.
The course is aimed at beginners, but will also address more advanced students. Experience with Matlab and computational models is not mandatory.
Prerequisites:
- Pre-installed Matlab with the Optimization toolbox
Sophie Bavard and Chih-Chung Ting are postdoctoral researchers in the “General Psychology Lab” at the Department of Psychology. Sophie Bavard is currently developing computational models implementing learning and preference judgment to capture the complexity of humans’ value-based decision-making strategies. Chih-Chung Ting combines eye tracker and computational models to investigate the intricate interplay between attention, options and choices.
