Implementations for Neural Networks Using Photoactivated    Biological Molecules
{'Code': '07010000', 'Directorate': {'LongName': 'Directorate For Engineering'}, 'Division': {'LongName': 'Div Of Electrical, Commun & Cyber Sys'}}
{'SignBlockName': 'Sarah A. Clark'}
The Hopfield neural network has two important aspects.  The first is a          thresholding amplification scheme.  In the simplest situation this can          be an electronic amplifier whose output does not go beyond a certain            level even if the input to the amplifier is increased.  The second              aspect characteristic of the network is that of being able to                   interconnect the outputs of all amplifiers with the inputs of all               amplifiers through paths which have specified but selectable resistances        to the flow of electrons.  The research addresses this latter problem.          Photo-sensitive material will be used to program these interconnections         to enable the network to be changed at will and show the full                   flexibility of the Hopfield network.
{'FirstName': 'Aaron', 'LastName': 'Lewis', 'EmailAddress': None, 'StartDate': '06/15/1987', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'Cornell University', 'CityName': 'Ithaca', 'ZipCode': '148502820', 'PhoneNumber': '6072555014', 'StreetAddress': '373 Pine Tree Road', 'CountryName': 'United States', 'StateName': 'New York', 'StateCode': 'NY'}
{'Code': '1517', 'Text': 'ELECT, PHOTONICS, & MAG DEVICE'}
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