Share Email Print

Proceedings Paper

Learning, Recognizing, And Predicting Multiple Groupings Of Patterned Data Using A Masking Field Neural Architecture
Author(s): Michael A. Cohen; Stephen Grossberg
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

One of the fundamental problem areas in perception, cognition, and artificial intelligence concerns the characterization of the functional units into which perceptual and cognitive mechanisms group the patterned information that they process. A core issue concerns the context-sensitivity of these functional units, or the manner in which a grouping into functional units can depend upon the spatiotemporal patterning of all the signals being processed. Another core issue concerns the adaptive tuning of recognition mechanisms, and the manner in which such tuning can alter the groupings which emerge within a context containing familiar elements. Adaptive tuning of recognition processes is one of the mechanisms whereby representations become compressed, chunked, or unitized into coherent recognition codes through experience.

Paper Details

Date Published: 11 August 1987
PDF: 7 pages
Proc. SPIE 0752, Digital Optical Computing, (11 August 1987); doi: 10.1117/12.939914
Show Author Affiliations
Michael A. Cohen, Boston University (United States)
Stephen Grossberg, Boston University (United States)

Published in SPIE Proceedings Vol. 0752:
Digital Optical Computing
Raymond Arrathoon, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?