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dc.contributor.authorDellen, Babette
dc.contributor.authorWessel, Ralf
dc.contributor.authorClark, John W.
dc.contributor.authorWörgötter, Florentin
dc.contributor.otherInstitut de Robòtica i Informàtica Industrial
dc.date.accessioned2011-04-13T16:28:27Z
dc.date.available2011-04-13T16:28:27Z
dc.date.created2010-02
dc.date.issued2010-02
dc.identifier.citationDellen, B. [et al.]. Motion processing with wide-field neurons in the retino-tecto-rotundal pathway. "Journal of computational neuroscience", Febrer 2010, vol. 28, núm. 1, p. 47-64.
dc.identifier.issn0929-5313
dc.identifier.urihttp://hdl.handle.net/2117/12355
dc.description.abstractThe retino-tecto-rotundal pathway is the main visual pathway in nonmammalian 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-tectorotundal 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 conlusive 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.format.extent18 p.
dc.language.isoeng
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Informàtica::Intel·ligència artificial artificial
dc.subject.lcshPredictive control
dc.subject.otherVisual motion - Retino-tecto-rotundal pathway - Optic tectum - Nucleus rotundus - Optic flow
dc.titleMotion processing with wide-field neurons in the retino-tecto-rotundal pathway
dc.typeArticle
dc.subject.lemacControl predictiu
dc.identifier.doi10.1007/s10827-009-0186-y
dc.subject.inspecClassificació INSPEC::Cybernetics::Artificial intelligence::Planning (artificial intelligence)::Path planning
dc.relation.publisherversionhttp://www.springerlink.com/content/1w8340786w381418/
dc.rights.accessOpen Access
drac.iddocument2199161
dc.description.versionPostprint (author’s final draft)
upcommons.citation.authorDellen, B.; Wessel , R.; Clark, J.; Wörgötter , F.
upcommons.citation.publishedtrue
upcommons.citation.publicationNameJournal of computational neuroscience
upcommons.citation.volume28
upcommons.citation.number1
upcommons.citation.startingPage47
upcommons.citation.endingPage64
dc.identifier.pmid19795201


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Except where otherwise noted, content on this work is licensed under a Creative Commons license: Attribution-NonCommercial-NoDerivs 3.0 Spain