DocumentCode
1144265
Title
“Vague-to-Crisp” Neural Mechanism of Perception
Author
Perlovsky, Leonid I.
Volume
20
Issue
8
fYear
2009
Firstpage
1363
Lastpage
1367
Abstract
This brief describes neural modeling fields (NMFs) for object perception, a bio-inspired paradigm. We discuss previous difficulties in object perception algorithms encountered since the 1950s, and describe how NMF overcomes these difficulties. NMF mechanisms are compared to recent experimental neuroimaging observations, which have demonstrated that initial top-down signals are vague and during perception they evolve into crisp representations matching the bottom-up signals from observed objects. Neural and mathematical mechanisms are described and future research directions outlined.
Keywords
brain; cognition; medical image processing; neural nets; object recognition; visual perception; bio-inspired paradigm; bottom-up signals; neural mechanism; neural modeling fields; neuroimaging; object perception algorithms; top-down signals; vague-to-crisp; “vague-to-crisp”; Brain imaging; brain mechanisms; cognition; cognitive engineering; dynamic logic; neural mechanisms; neural networks; object recognition; perception; Algorithms; Humans; Neural Networks (Computer); Pattern Recognition, Automated; Perception; Visual Perception;
fLanguage
English
Journal_Title
Neural Networks, IEEE Transactions on
Publisher
ieee
ISSN
1045-9227
Type
jour
DOI
10.1109/TNN.2009.2025501
Filename
5170089
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