Research in the Learning and Decision Neuroscience Laboratory (LDN Lab) addresses how humans discover and represent the predictive structure of their environment, how such knowledge shapes cognition, perception and motivated behavior, and how those processes go awry in addiction and psychopathology. Our approach is multidisciplinary, drawing on a wide range of methods from psychology, neuroscience, economics, statistics and machine learning. In particular, we combine innovative experimental designs with computational cognitive modeling and functional MRI, to develop formal accounts of neural and psychological processes. Topics of interest include agency, causal induction, goal-directed vs habitual control strategies, social transmission, utility estimation, and stimulus representation.
Reinforcement learning, structure learning, inductive reasoning, decision-making, addiction, social transmission