A neural model for visual selection of grouped spatial arrays.

Full Abstract

Psychophysical and electrophysiological studies indicate that visual attention operates on early retinotopic maps and selects spatially grouped arrays of locations which correspond to objects or perceptual groups. A neural model is proposed which is able to select an array of locations labelled by the same activity level and suppress all other regions that are not in the focus of attention. The model uses self-recurrent dendritic inhibition to compute the maximum activity level in the input and suppress a feedforward flow of activity from input to selection layer at unattended locations. Computer simulations also illustrate the model's ability to detect abrupt onsets of new objects in the visual scene, perform visual search and track moving objects.

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Author information

Author/s: Domijan, Drazen (D);

Affiliation: Department of Psychology, Faculty of Philosophy, University of Riijela, Croatia. ddomijan(-atsign-)human.perfri.hr

Journal and publication information

Publication Type: Journal Article

Journal: Neuroreport (Neuroreport), published in England. (Language: eng)

Reference: 2003-Mar; vol 14 (issue 3) : pp 367-70

Dates: Created 2003/03/13; Completed 2003/05/13; Revised 2004/11/17;

PMID: 12634485, status: MEDLINE (last retrieval date: 12/26/2008)

Sourced from the National Library of Medicine. Abstract text and other information may be subject to copyright.

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MeSH headings (categories)

This article was linked to the MESH Headings shown below.

Animals
Attention - physiology
Brain - physiology
Computer Simulation
Humans

Models, Neurological
Nerve Net - physiology
Retina - physiology
Space Perception
Visual Perception - physiology

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