Empirically, we employ three different technologies - brain imaging
(mainly functional), neurophysiology (EEG and EMG) and video-imaging
of facial expression and eye movement (a new enterprise). Our
computational efforts are primarily grounded in dynamical systems
theory and statistical mechanics in order to develop basic models of
large-scale neuronal activity. We are also developing a Bayes
perspective to understand how the brain performs inference and enacts
motor activity. Clinically, we study mood disorders, schizophrenia,
dementia and epilepsy.

Themes
EEG
fMRI
Computational Neuroscience
Psychophysics
Clinical Applications