Computational learning and decision making

We study human learning, inference and decision making with behavioural experiments, computational modelling, and neuroscience.

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.


UCL Experimental Psychology
26 Bedford Way
London WC1H 0AP
United Kingdom