The goal of our research is to understand the learning and decision processes which allow humans to function effectively in an uncertain and dynamic world. By developing computational models and assessing how they compare to human behaviour in experimental tasks, we hope to gain deeper insight into how information is processed and represented during learning and decision making.
How do people learn to make better decisions from experience?

Relation between social learning and mental health disorders

When do people leave ambivalent (both positive and negative) situations?

How do people make financial trading decisions with continuously evolving information?
