title: A feedback model of visual attention
creator: Spratling, M W
creator: Johnson, M H
subject: Neural Modelling
subject: Computational Neuroscience
subject: Neural Nets
subject: Perceptual Cognitive Psychology
description: 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. 
date: 2004
type: Journal (Paginated)
type: PeerReviewed
format: application/pdf
identifier: http://cogprints.org/3542/1/cog_neurosci.pdf
identifier:   Spratling, M W and Johnson, M H  (2004) A feedback model of visual attention.  [Journal (Paginated)]     
relation: http://cogprints.org/3542/