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Proceedings Paper

Extensions And Electro-Optical Implementation Of The Hogg And Huberman Neural Network Model
Author(s): Nathan A Wilkins; Valerie Taylor; Leah Delmer; Thomas F Krile
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Paper Abstract

The neural net model introduced by Hogg and Huberman1/2 is examined and extended to include 2-dimensional inputs. Computer simulations of this model exhibit fault tolerant behavior in pattern recognition applications despite the local nature of the neural interconnectivity. This local interconnectivity, however, lends itself to VLSI and/or optical implementations. In this paper, previous work is reviewed and a mathematical characterization of the model is considered along with generalizations of the model to include the effects of changing the neuron computation functions. An electro-optical implementation of the 2-dimensional extension of the model will also be presented.

Paper Details

Date Published: 3 May 1988
PDF: 7 pages
Proc. SPIE 0882, Neural Network Models for Optical Computing, (3 May 1988); doi: 10.1117/12.944096
Show Author Affiliations
Nathan A Wilkins, Texas Tech University (United States)
Valerie Taylor, Texas Tech University (United States)
Leah Delmer, Texas Tech University (United States)
Thomas F Krile, Texas Tech University (United States)


Published in SPIE Proceedings Vol. 0882:
Neural Network Models for Optical Computing
Ravindra A. Athale; Joel Davis, Editor(s)

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