COMPUTATIONAL NEUROSCIENCEA neural model for visual selection of grouped spatial arraysDomijan, DrazenAuthor Information Department of Psychology, Faculty of Philosophy, University of Rijeka, I. Klobucarica 1, HR-51000 Rijeka, Croatia. firstname.lastname@example.org Received 25 October 2002; accepted 7 January 2003 NeuroReport: March 3rd, 2003 - Volume 14 - Issue 3 - p 367-370 Buy 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. © 2003 Lippincott Williams & Wilkins, Inc.