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A Visual Detection Learning ModelOur learning model has memory templates representing the target-plus-noise and noise-alone stimulus sets. The best correlating template determines the response. The correlations and the feedback participate in the additive template updating rule. The model can predict the relative thresholds for detection in random, fixed and twin noise.
Document ID
20020065516
Document Type
Conference Paper
Authors
Beard, Bettina L. (NASA Ames Research Center Moffett Field, CA United States)
Ahumada, Albert J., Jr. (NASA Ames Research Center Moffett Field, CA United States)
Trejo, Leonard
Date Acquired
August 20, 2013
Publication Date
January 1, 1998
Subject Category
Computer Programming and Software
Meeting Information
Optical Society of America Conference
Funding Number(s)
PROJECT: RTOP 548-50-12
Distribution Limits
Public
Copyright
Other