A feedback model of visual attention

M.W. Spratling, M.H. Johnson

Research output: Contribution to journalArticlepeer-review

105 Citations (Scopus)
212 Downloads (Pure)

Abstract

Feedback connections are a prominent feature of cortical anatomy and are likely to have a significant functional role in neural information processing. We present a neural network model of cortical feedback that successfully simulates neurophysiological data associated with attention. In this domain, our model can be considered a more detailed, and biologically plausible, implementation of the biased competition model of attention. However, our model is more general as it can also explain a variety of other top-down processes in vision, such as figure/ground segmentation and contextual cueing. This model thus suggests that a common mechanism, involving cortical feedback pathways, is responsible for a range of phenomena and provides a unified account of currently disparate areas of research.
Original languageEnglish
Pages (from-to)219 - 237
Number of pages19
JournalJOURNAL OF COGNITIVE NEUROSCIENCE
Volume16
Issue number2
DOIs
Publication statusPublished - Mar 2004

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