Methods in Computational Modeling for Cognitive Science

3 credits · Graduate

The objective of this course is to provide with the skills to use computational techniques to model behavioral data. Computational modeling is becoming an essential tool to study cognition, and neuroscience. The course will cover all the steps needed to fit computational models to data in a rigorous way. It will provide both theoretical knowledge, as well as hands-on experience (matlab or python), and will include a computational modeling project. In-class examples will focus on reinforcement learning and decision theory models, but the skills are more widely applicable.