A Neural Theory of Visual Search: Recursive Attention to Segmentations and SurfacesReportar como inadecuado


A Neural Theory of Visual Search: Recursive Attention to Segmentations and Surfaces


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Abstract

A neural theory is proposed in which visual search is accomplished by perceptual grouping and segregation, which occurs simultaneous across the visual field, and object recognition, which is restricted to a selected region of the field. The theory offers an alternative hypothesis to recently developed variations on Feature Integration Theory Treisman, and Sato, 1991 and Guided Search Model Wolfe, Cave, and Franzel, 1989. A neural architecture and search algorithm is specified that quantitatively explains a wide range of psychophysical search data Wolfe, Cave, and Franzel, 1989; Cohen, and lvry, 1991; Mordkoff, Yantis, and Egeth, 1990; Treisman, and Sato, 1991.Rights

Copyright 1993 Boston University. Permission to copy without fee all or part of this material is granted provided that: 1. The copies are not made or distributed for direct commercial advantage; 2. the report title, author, document number, and release date appear, and notice is given that copying is by permission of BOSTON UNIVERSITY TRUSTEES. To copy otherwise, or to republish, requires a fee and - or special permission.

CAS-CNS Technical Reports -



Autor: Grossberg, Stephen - Mingolla, Ennio - Ross, William D. - -

Fuente: https://open.bu.edu/







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