Event Abstract Back to Event The dynamic routing model of visuospatial attention Bruce Bobier1*, Terry Stewart1 and Chris Eliasmith1 1 University of Waterloo, Canada The dynamic control of information routing in the brain has been most extensively studied in the context of visual attention, although the underlying mechanisms employed by the involved neural populations remain unclear. Several models have suggested that selective routing of attended information may be performed by modulating the gain of stimulus representations or by modifying synaptic connection weights. A problem with many such models is that they do not address how these processes are performed at the cellular level, or do so in a biologically implausible manner. Here we present the Dynamic Routing Model (DRM), which frames the problem of visuospatial attention as the dynamic routing information through a hierarchy of topographically organized cortical regions to an object-centered reference frame. In the DRM, the inferior and lateral pulvinar are hypothesized to encode the retinotopic location at which attention should be engaged, and project this signal to cortical control columns in each visual area. Each control column serves to guide information routing for a small group of adjacent visual columns. At each layer, the pulvinar signal is transformed by the cortical control columns to encode the location from which information should be represented. The dendrites of a neuron in a given column encode a vector containing the control signal and its inputs, and the synaptic weights of the dendrites collectively serve to approximate a function that modulates the gain of each input depending on its distance from the location specified by the cortical control signal. We begin by considering the attentional routing performed in a five layer hierarchy, where each layer is reciprocally connected with pulvinar. For each visual column, we can determine the interactions between the control and visual inputs that are required to optimally route information from the focus of attention to an object-centered reference frame at the top layer. After defining this interaction, we next investigate whether this function can be represented within the dendrites. The routing mechanism is the same for all nodes in the hierarchy, and by using the Neural Engineering Framework to model a subset of this large-scale network, we can use this high level mathematical description to analytically derive the optimal connection weights to perform the routing function. Simulation results show that in a model composed of a single cortical control population and nine visual columns, each containing 200 LIF neurons that project to a single output population, the neurons are able to accurately route visual information. We then show that the model accounts for numerous findings from neurophysiological and psychophysical studies, including attentional effects occurring earlier and more strongly in higher cortical areas, dynamic receptive field shifts, center-surround suppression, as well as impairments observed in pulvinar lesion patients. The DRM also generates several predictions concerning the character of the suppressive annulus surrounding the focus of attention, the role of pulvinar in engaging attention, and the computations performed by cortical neurons under attention. Conference: Computational and Systems Neuroscience 2010, Salt Lake City, UT, United States, 25 Feb - 2 Mar, 2010. Presentation Type: Poster Presentation Topic: Poster session III Citation: Bobier B, Stewart T and Eliasmith C (2010). The dynamic routing model of visuospatial attention. Front. Neurosci. Conference Abstract: Computational and Systems Neuroscience 2010. doi: 10.3389/conf.fnins.2010.03.00121 Copyright: The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers. They are made available through the Frontiers publishing platform as a service to conference organizers and presenters. The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated. Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed. For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions. Received: 01 Mar 2010; Published Online: 01 Mar 2010. * Correspondence: Bruce Bobier, University of Waterloo, Waterloo, Canada, bbobier@engmail.uwaterloo.ca Login Required This action requires you to be registered with Frontiers and logged in. To register or login click here. Abstract Info Abstract The Authors in Frontiers Bruce Bobier Terry Stewart Chris Eliasmith Google Bruce Bobier Terry Stewart Chris Eliasmith Google Scholar Bruce Bobier Terry Stewart Chris Eliasmith PubMed Bruce Bobier Terry Stewart Chris Eliasmith Related Article in Frontiers Google Scholar PubMed Abstract Close Back to top Javascript is disabled. Please enable Javascript in your browser settings in order to see all the content on this page.
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