NSF Org:	CBET Division of Chemical, Bioengineering, Environmental, and Transport Systems
Recipient:	RUTGERS, THE STATE UNIVERSITY
Initial Amendment Date:	July 13, 1995
Latest Amendment Date:	July 13, 1995
Award Number:	9419247
Award Instrument:	Standard Grant
Program Manager:	Gilbert B. Devey CBET  Division of Chemical, Bioengineering, Environmental, and Transport Systems ENG  Directorate for Engineering
Start Date:	September 1, 1995
End Date:	August 31, 1998 (Estimated)
Total Intended Award Amount:	$120,000.00
Total Awarded Amount to Date:	$120,000.00
Funds Obligated to Date:	FY 1995 = $120,000.00
History of Investigator:	Gyorgy Buzsaki (Principal Investigator) gyorgy.buzsaki@nyumc.org Kensall Wise (Co-Principal Investigator) Xiao-Jing Wang (Co-Principal Investigator)
Recipient Sponsored Research Office:	Rutgers University New Brunswick 3 RUTGERS PLZ NEW BRUNSWICK NJ  US  08901-8559 (848)932-0150
Sponsor Congressional District:	12
Primary Place of Performance:	Rutgers University Newark 123 WASHINGTON ST NEWARK NJ  US  07102-3026
Primary Place of Performance Congressional District:	10
Unique Entity Identifier (UEI):	M1LVPE5GLSD9
Parent UEI:
NSF Program(s):	Engineering of Biomed Systems, NEURAL SYSTEMS CLUSTER
Primary Program Source:	app-0195
Program Reference Code(s):	0000, 5345, OTHR
Program Element Code(s):	534500, 550000
Award Agency Code:	4900
Fund Agency Code:	4900
Assistance Listing Number(s):	47.041

ABSTRACT

9419247 Buzsaki The behavior of organisms is controlled by electrical signaling in large populations of brain cells. One of the great technical challenges for brain scientists is to describe the electrical activity of neuronal populations in a way that is related to behavior. With this award, a team comprised of a neuroscientist, a mathematician and an engineer, and headed by Dr. Gyorgy Buzsaki, will construct a system for monitoring the signals produced by large numbers of brain cells recorded from animals while they are engaged in bouts of behavior. The team will test their methods by recording, analyzing and displaying the signals of cells within the hippocampus, a structure believed to be essential for certain types of learning. This work should have broad impact on the methods used in future research by both experimental and theoretical neuroscientists in the attempt to understand the neural control of behavior.

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