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Journal of Cognitive Neuroscience

Summer 1990, Vol. 2, No. 3, Pages 213-231
(doi: 10.1162/jocn.1990.2.3.213)
© 1990 by the Massachusetts Institute of Technology
Simulating Visual Attention
Article PDF (2.8 MB)

Selective visual attention serializes the processing of stimulus data to make efficient use of limited processing resources in the human visual system. This paper describes a connectionist network that exhibits a variety of attentional phenomena reported by Treisman, Wolford, Duncan, and others. As demonstrated in several simulations, a hierarchical, multiscale network that uses feature arrays with strong lateral inhibitory connections provides responses in agreement with a number of prominent behaviors associated with visual attention. The overall network design is consistent with a range of data reported in the psychological literature, and with neurophysiol-ogical characteristics of primate vision.