Research in the Learning & Decision Neuroscience Lab addresses how intelligent systems construct and deploy internal models of the world, with an emphasis on the roles of agency, causality, and compositionality.
Our approach is multidisciplinary, drawing on a wide range of methods from psychology, neuroscience, statistics, and computer science. In particular, we combine innovative behavioral experiments with computational cognitive models, neuroimaging, and (sub)clinical assays, in order to characterize the nature of valanced and structured mental representations.