A neural network model of visual attention and group classification, and its performance in a visual search task

Abstract

Humans can attend to and categorise objects individually, but also as groups. We present a computational model of how visual attention is allocated to single objects and groups of objects, and how single objects and groups are classified. We illustrate the model with a novel account of the role of stimulus similarity in visual search tasks, as identified by Duncan and Humphreys [1]. © Springer International Publishing 2013.