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dc.contributor.authorDellen, Babette-
dc.contributor.authorWessel, Ralf-
dc.contributor.authorClark, John W.-
dc.contributor.authorWörgötter, Florentin-
dc.date.accessioned2010-12-17T12:49:32Z-
dc.date.available2010-12-17T12:49:32Z-
dc.date.issued2010-
dc.identifier.citationJournal of Computational Neuroscience 28(1): 47-64 (2010)-
dc.identifier.issn0929-5313-
dc.identifier.urihttp://hdl.handle.net/10261/30500-
dc.descriptionThis article is distributed under the terms of the Creative Commons Attribution Noncommercial License.-
dc.description.abstractThe retino-tecto-rotundal pathway is the main visual pathway in non-mammalian vertebrates and has been found to be highly involved in visual processing. Despite the extensive receptive fields of tectal and rotundal wide-field neurons, pattern discrimination tasks suggest a system with high spatial resolution. In this paper, we address the problem of how global processing performed by motion-sensitive wide-field neurons can be brought into agreement with the concept of a local analysis of visual stimuli. As a solution to this problem, we propose a firing-rate model of the retino-tecto-rotundal pathway which describes how spatiotemporal information can be organized and retained by tectal and rotundal wide-field neurons while processing Fourier-based motion in absence of periodic receptive-field structures. The model incorporates anatomical and electrophysiological experimental data on tectal and rotundal neurons, and the basic response characteristics of tectal and rotundal neurons to moving stimuli are captured by the model cells. We show that local velocity estimates may be derived from rotundal-cell responses via superposition in a subsequent processing step. Experimentally testable predictions which are both specific and characteristic to the model are provided. Thus, a conclusive explanation can be given of how the retino-tecto-rotundal pathway enables the animal to detect and localize moving objects or to estimate its self-motion parameters.-
dc.description.sponsorshipThe work has received support from the German Ministry for Education and Research (BMBF) via the Bernstein Center for Computational Neuroscience (BCCN) Göttingen under Grant No. 01GQ0430, the NIH/NEI, ROI EY015678, and the EU Project Drivsco under Contract No. 016276-2. JWC acknowledges support from Fundação para a Ciência e a Tecnologia of the Portuguese Ministério da Ciência, Tecnologia e Ensino Superior and Fundação Luso-Americana.-
dc.language.isoeng-
dc.publisherSpringer-
dc.relation.isversionofPublisher's version-
dc.rightsopenAccess-
dc.subjectVisual motion-
dc.subjectRetino-tecto-rotundal pathway-
dc.subjectOptic tectum-
dc.subjectNucleus rotundus-
dc.subjectOptic flow-
dc.subjectPattern recognition systems-
dc.titleMotion processing with wide-field neurons in the retino-tecto-rotundal pathway-
dc.typeartículo-
dc.identifier.doi10.1007/s10827-009-0186-y-
dc.description.peerreviewedPeer Reviewed-
dc.relation.publisherversionhttp://dx.doi.org/10.1007/s10827-009-0186-y-
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