The goal of our lab is to uncover the different computations and functions of different subregions of prefrontal cortex and medial temporal lobe during learning, planning and decision-making, and how these subregions interact to construct models of our environment.

Our working philosophy is that to understand behavior in both health and disease, we must understand the anatomical networks and neural computations/mechanisms that support behavior. To accomplish this, we use a range of methodological approaches including electrophysiology (single neuron, local field potentials), human neuroimaging (fMRI, MEG), and biophysical and computational modeling such as reinforcement or machine learning. We also test causal links between these brain regions and behavior by using reversible inactivation (pharmacological or stimulation) techniques.