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My main professional interest is technical innovation at the intersection of science, engineering, and economics. My current primary research interest is the further development of brain-computer interface (BCI) technology.
My laboratory is taking advantage of exciting opportunities in systems and cognitive neuroscience, and in translational neuroengineering. Our neuroscience research investigates the neural basis of motor, language, and cognitive function using recordings from the surface of the brain (electrocorticography (ECoG)) in humans using mostly computational techniques. For example, we study how local field potentials in different cortical areas (e.g., in PM and M1) prepare for and execute hand and finger movements. Our neuroengineering research combines this neuroscientific understanding with efforts in electrical engineering, bioengineering, and computer science to address particular clinical problems. These clinical problems include the restoration of function in people with severe motor disabilities using brain-computer interfaces (BCIs). BCI systems translate neural activity from the brain into control signals that drive applications that allow people to communicate with or control their environment. This work includes statistical signal processing, machine learning, and real-time system design and implementation. For example, how can we design brain-based communication systems with performance that rivals that of spoken language? This neuroengineering work also includes the development of general-purpose software for BCI research, called BCI2000, and the development of a novel device for real-time functional brain mapping for invasive brain surgery.
Theory and Application of Electrocorticographic (ECoG) Signals in Humans
as author at BBCI Workshop: Advances in Neurotechnologies, Berlin 2009,
ECoG-Based Neuroscience and Neuroengineering
as author at BBCI Workshop: Advances in Neurotechnologies, Berlin 2012,