Collaborating Laboratories
The CPU currently comprises 6 laboratories and many collaborators, each of whom contributes world-class strengths in different aspects of neuroscience and related fields. The core laboratories of the CPU are:
- The Human Neuroimaging Laboratory (Read Montague, PhD) Dr. 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 Laboratory for Perception and Action (David Eagleman, PhD) Dr. Eagleman combines psychophysical, behavioral, and computational approaches to address the relationship between the timing of perception and the timing of neural signals.
- The Chiu Lab (Pearl Chiu, PhD) Dr. 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 Laboratory for Interpersonal Decision Neuroscience (Brooks King-Casas, PhD) Dr. 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 Theoretical Systems Neuroscience Laboratory (Wei Ji Ma, PhD) Dr. Ma investigates basic questions regarding neural function and perception using theoretical analysis and theory-driven behavioral experiments. Specifically, he aims to understand the neural substrates of cognitive behaviors that involve the representation and processing of uncertainty. Current areas of study include multisensory perception, decision-making, and visual search.
- The LaConte Laboratory (Stephen LaConte, PhD) Dr. 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 rt-fMRI applications in areas including motor learning, speech and language, traumatic brain injury (TBI), addiction, and depression.