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
Link To Document :
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