We use computational models to explain human learning and planning. We draw from reinforcement learning and bayesian frameworks to study basic cognition and psychopathology.

Current work explores how planning is made less efficient in anxiety, through online control of when and how to plan, as well as how world models used to plan consolidate offline.

The lab is part of the Psychology Department and the Gonda Multidisciplinary Brain Research Center at Bar-Ilan University near Tel Aviv. We welcome prospective trainees from psychology, neuroscience, computer science, and engineering.