NSF Org:	DBI Division of Biological Infrastructure
Recipient:	CALIFORNIA INSTITUTE OF TECHNOLOGY
Initial Amendment Date:	September 18, 1992
Latest Amendment Date:	September 18, 1992
Award Number:	9207487
Award Instrument:	Standard Grant
Program Manager:	Deborah A. Joseph DBI  Division of Biological Infrastructure BIO  Directorate for Biological Sciences
Start Date:	September 15, 1992
End Date:	August 31, 1995 (Estimated)
Total Intended Award Amount:	$50,000.00
Total Awarded Amount to Date:	$50,000.00
Funds Obligated to Date:	FY 1992 = $50,000.00
History of Investigator:	John Hopfield (Principal Investigator) hopfield@princeton.edu
Recipient Sponsored Research Office:	California Institute of Technology 1200 E CALIFORNIA BLVD PASADENA CA  US  91125-0001 (626)395-6219
Sponsor Congressional District:	28
Primary Place of Performance:	DATA NOT AVAILABLE
Primary Place of Performance Congressional District:
Unique Entity Identifier (UEI):	U2JMKHNS5TG4
Parent UEI:
NSF Program(s):
Primary Program Source:
Program Reference Code(s):	1107, 9237
Program Element Code(s):
Award Agency Code:	4900
Fund Agency Code:	4900
Assistance Listing Number(s):	47.074

ABSTRACT

The mathematical structure of the collective excitations of model neural networks will be examined for the relevance which they may have to the essential aspects of "higher nervous function." An examination of this subject requires that much be known about the pattern of connections between nerve cells. Since this cannot be provided directly from neurobiological experiments, we will work with the case of associative memory, where the nature of the connections is believed to be due to the structure in the information provided by the external world. The nature of the collective properties is expected to depend on the topology of the underlying neural circuits. The fundamental question is whether the interactions between any collective excitations have useful computational properties.

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