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Optical Engineering

Stabilized input with a feedback pulse-coupled neural network
Author(s): Jason M. Kinser; John L. Johnson
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Paper Abstract

Biological findings in the visual cortex of some small mammals are combined with the increasing evidence of feedback from the brain to the sensors to create a feedback pulse-coupled neural network. The main advantage of this algorithm is that it extracts portions of the input information with each iteration. The input is eventually altered to a steady-state output. However, during transition the input at different iterations presents primitive information of the input.

Paper Details

Date Published: 1 August 1996
PDF: 4 pages
Opt. Eng. 35(8) doi: 10.1117/1.600797
Published in: Optical Engineering Volume 35, Issue 8
Show Author Affiliations
Jason M. Kinser, Alabama A&M Univ. (United States)
John L. Johnson, U.S. Army Missile Command (Germany)


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