The neural representation of spatial relationships by anatomical binding | Zendy

Kenneth J. Hayworth | Zendy; Mark D. Lescroart | Zendy; Irving Biederman | Zendy

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The neural representation of spatial relationships by anatomical binding

Author(s) -

Kenneth J. Hayworth,

Mark D. Lescroart,

Irving Biederman

Publication year - 2010

Publication title -

journal of vision

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.126

H-Index - 113

ISSN - 1534-7362

DOI - 10.1167/10.7.968

Subject(s) - computer science , set (abstract data type) , object (grammar) , feature (linguistics) , representation (politics) , hierarchy , associative property , encode , artificial intelligence , cognitive science , pattern recognition (psychology) , neuroscience , psychology , biology , mathematics , programming language , philosophy , linguistics , biochemistry , politics , political science , economics , pure mathematics , market economy , gene , law

Many theorists have hypothesized that when viewing a multi-object scene, the visual system assigns each object’s bundled features to separate ‘slots’. Such dynamic “binding” to multiple slots is at the heart of the Object Files theory (Kahneman, Treisman, & Gibbs 1992), Visual Short-Term Memory (VSTM) models, FINST theory (Pylyshyn 1989), Recognition-by-Components theory (Biederman 1987) and others.

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