"3542","A feedback model of visual attention","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. ","http://cogprints.org/3542/","Spratling, M W and Johnson, M H","UNSPECIFIED","       <span class=\"person_name\">Spratling, M W</span> and <span class=\"person_name\">Johnson, M H</span>     (2004)  <a href=\"http://cogprints.org/3542/\"><em>A feedback model of visual attention.</em></a>       [Journal (Paginated)]           ","","2004"