Behavior Recognition from Brain Cells

This project focuses on developing a robust pattern recognition system to recognize and classify human’s behavior (e.g. language and motor tasks) from different brain electrical signals. The objective of this project is to advance research concerning next generation of closed-loop deep brain stimulation (DBS) systems, which are widely used to treat movement disorders such as Parkinson’s disease (PD). This project explores a unique data set of simultaneous recordings of cortical and subcortical electrical potentials in the human brain (e.g., local field potential) obtained during surgical implantation of a DBS system.