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A feedback model of visual attention

By M W Spratling and M H Johnson

Abstract

Feedback connections are a prominent feature of cortical anatomy and are likely to have 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

Topics: Neural Modelling, Computational Neuroscience, Neural Nets, Perceptual Cognitive Psychology
Year: 2004
OAI identifier: oai:cogprints.org:3542
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