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@misc{cogprints3542, volume = {16}, number = {2}, title = {A feedback model of visual attention}, author = {M W Spratling and M H Johnson}, year = {2004}, pages = {219--237}, journal = {Journal of Cognitive Neuroscience}, url = {http://cogprints.org/3542/}, 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. } }