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TY - GEN ID - cogprints3542 UR - http://cogprints.org/3542/ A1 - Spratling, M W A1 - Johnson, M H Y1 - 2004/// N2 - 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. TI - A feedback model of visual attention SP - 219 AV - public EP - 237 ER -