Extensions And Electro-Optical Implementation Of The Hogg And Huberman Neural Network Model

Nathan A Wilkins; Valerie Taylor; Leah Delmer; Thomas F Krile

doi:10.1117/12.944096

3 May 1988 Extensions And Electro-Optical Implementation Of The Hogg And Huberman Neural Network Model

Nathan A Wilkins, Valerie Taylor, Leah Delmer, Thomas F Krile

Proceedings Volume 0882, Neural Network Models for Optical Computing; (1988) https://doi.org/10.1117/12.944096
Event: 1988 Los Angeles Symposium: O-E/LASE '88, 1988, Los Angeles, CA, United States

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.

Citation Download Citation

Nathan A Wilkins, Valerie Taylor, Leah Delmer, and Thomas F Krile "Extensions And Electro-Optical Implementation Of The Hogg And Huberman Neural Network Model", Proc. SPIE 0882, Neural Network Models for Optical Computing, (3 May 1988); https://doi.org/10.1117/12.944096

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