The Computational Psychiatry Unit collaborates with several principal laboratories, each of which contributes world-class strengths in different aspects of neuroscience and related fields. These laboratories include:
Human Neuroimaging Laboratory (Read Montague, PhD)
Dr. Read Montague focuses on computational neuroscience—the connection between the physical mechanisms present in neural tissue and the functions that these mechanisms embody. Work in the Montague group includes experiments involving synaptic physiology, human neuroimaging, and human behavior in special populations.
The Chiu Laboratory (Pearl Chiu, PhD)
Dr. Pearl Chiu examines the neurobiological mechanisms of reward-processing and social decision-making. She uses fMRI, ERPs, behavior, and computational models to understand how these processes may go awry and be remediated in psychiatric populations.
The King-Casas Laboratory (Brooks King-Casas, PhD)
Dr. Brooks King-Casas studies how neural structures implement interpersonal transactions. Specifically, his lab exploits game-theoretic experimental paradigms, functional magnetic resonance imaging, and learning theory in order to quantitatively understand social behavior and its neural substrates.
The LaConte Laboratory (Stephen LaConte, PhD)
Dr. Stephen LaConte’s lab develops advanced neuroimaging acquisition and data analysis approaches, aimed at understanding and ultimately rehabilitating neurological and psychiatric diseases. A major focus of the lab is the development of real-time fMRI using multivariate analysis methods. The lab is highly collaborative and is working on a number of real-time fMRI applications in such areas as motor learning, speech and language, traumatic brain injury, addiction, and depression.
Computational psychiatry is now also the focus of an official collaboration between the Max Planck Society and University College London, where Dr. Montague holds a faculty appointment. Their shared goal is to revolutionize the approach to understanding psychopathologies by combining functional neuroimaging with computational modeling. Supported by some of the world’s leading minds in theoretical neuroscience, this effort aims to foster collaborations between all associated institutions.