Bard Mathematics and Computer Science Events

In order to understand the function and dynamics of the human brain in both health and disease, various methods have been proposed to analyze recorded brain electrical activity. With a finite number of recording electrodes on the head, activity is a mathematically underdetermined system. That is, there are many sources of activity but few electrodes of data recorded. Attempts at a solution is often called the Inverse Problem. MRI imaging can narrow down a solution. Another approach to analyzing the brain activity is Chaos Theory. Electrical activity can suggest various disease states. We will explore some computerized techniques available to solve the inverse problem and predict disease states.

Dr. Koszer has a BS in electrical engineering from Clarkson University, and an MD degree from SUNY Stonybrook. He is board certified in neurology and neurophysiology. He is an active researcher and practitioner, and has published papers and book chapters in publications such as Electroencephalography and Clinical Neurophysiology and Clinical Neurophysiology of Infancy, Childhood and Adolescence.

Koszer has held academic appointments as Assistant Professor at Albert Einstein College of Medicine and Associate Professor of Neurology at Albany Medical Center. He is the founder and from 2002-2006 was the director of the Albany Medical Center Comprehensive Epilepsy Program. He is currently managing partner of eRiver Neurology of New York and director of the Vassar Brothers Epilepsy Monitoring Program in Poughkeepsie.

	Chaos Theory and the Brain Samuel Koszer, M.D. Managing Partner, eRiver Neurology of New York Director, Vassar Brothers Epilepsy Monitoring Program Thursday, September 20, 2007 4:30 pm (reception at 4:00 p.m. in lobby) Reem and Kayden Center Auditorium
In order to understand the function and dynamics of the human brain in both health and disease, various methods have been proposed to analyze recorded brain electrical activity. With a finite number of recording electrodes on the head, activity is a mathematically underdetermined system. That is, there are many sources of activity but few electrodes of data recorded. Attempts at a solution is often called the Inverse Problem. MRI imaging can narrow down a solution. Another approach to analyzing the brain activity is Chaos Theory. Electrical activity can suggest various disease states. We will explore some computerized techniques available to solve the inverse problem and predict disease states. Dr. Koszer has a BS in electrical engineering from Clarkson University, and an MD degree from SUNY Stonybrook. He is board certified in neurology and neurophysiology. He is an active researcher and practitioner, and has published papers and book chapters in publications such as Electroencephalography and Clinical Neurophysiology and Clinical Neurophysiology of Infancy, Childhood and Adolescence. Koszer has held academic appointments as Assistant Professor at Albert Einstein College of Medicine and Associate Professor of Neurology at Albany Medical Center. He is the founder and from 2002-2006 was the director of the Albany Medical Center Comprehensive Epilepsy Program. He is currently managing partner of eRiver Neurology of New York and director of the Vassar Brothers Epilepsy Monitoring Program in Poughkeepsie.

Bard College Mathematics and Computer Science Events