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 |