Share Email Print
cover

Optical Engineering

Stabilized input with a feedback pulse-coupled neural network
Author(s): Jason M. Kinser; John L. Johnson
Format Member Price Non-Member Price
PDF $20.00 $25.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

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)


© SPIE. Terms of Use
Back to Top