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Proceedings Paper

VLSI design of a dynamic neural processor for vision applications
Author(s): Madan M. Gupta; Dean Hockley
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Paper Abstract

A programmable dynamic neuron with a biologically motivated design has been implemented using analog current-mode techniques. The circuit can exhibit several different processing modes with only slight adjustment in the model parameters. The relevant parameters are varied using electronically modifiable current mirrors. The circuit is very compact, and requires only around 20 transistors. In addition the circuit can be configured as a traditional neuron simply by leaving the sampling switches closed. The initial design allows that all the model parameters can be adjusted. Presently the dynamic neuron is restricted to only the nearest neighborhood connections on a chip, but this lack of connectivity can be alleviated by adopting a multiple chip processing scheme in a pyramidal architecture.

Paper Details

Date Published: 20 August 1993
PDF: 13 pages
Proc. SPIE 2055, Intelligent Robots and Computer Vision XII: Algorithms and Techniques, (20 August 1993); doi: 10.1117/12.150172
Show Author Affiliations
Madan M. Gupta, Univ. of Saskatchewan (Canada)
Dean Hockley, Univ. of Saskatchewan (Canada)


Published in SPIE Proceedings Vol. 2055:
Intelligent Robots and Computer Vision XII: Algorithms and Techniques
David P. Casasent, Editor(s)

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