title: A neural theory of attentive visual search: interactions of boundary, surface, spatial, and object representations.
abstract: Visual search data are given a unified quantitative explanation by a model of how spatial maps in the parietal cortex and object recognition categories in the inferotemporal cortex deploy attentional resources as they reciprocally interact with visual representations in the prestriate cortex. The model visual representations are organized into multiple boundary and surface representations. Visual search in the model is initiated by organizing multiple items that lie within a given boundary or surface representation into a candidate search grouping. These items are compared with object recognition categories to test for matches or mismatches. Mismatches can trigger deeper searches and recursive selection of new groupings until a target object is identified. The model provides an alternative to Feature Integration and Guided Search models.
authors.affiliation: Center for Adaptive Systems, Boston University, Massachusetts 02215.
authors.forename: S
authors.initials: S
authors.lastname: Grossberg
authors.forename: E
authors.initials: E
authors.lastname: Mingolla
authors.forename: W D
authors.initials: WD
authors.lastname: Ross
mesh_terms: D000465:Algorithms; D003118:Color Perception; D005556:Form Perception; D006801:Humans; D011930:Reaction Time; D013028:Space Perception; D014796:Visual Perception