• 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