Visual Target Selection Emerges from a Bio-inspired Network Topology
Identifieur interne : 005295 ( Hal/Curation ); précédent : 005294; suivant : 005296Visual Target Selection Emerges from a Bio-inspired Network Topology
Auteurs : Wahiba Taouali [France] ; Nicolas Rougier [France] ; Frédéric Alexandre [France]Source :
Abstract
The orientation of sensors toward regions of interest of the environment is an important motor activity, monitored by ancient struc- tures of the brainstem. Particularly, the superior colliculus is known to be deeply involved in visual saccadic behavior. Target selection relies on various hints including exogenous information about the nature and the position of candidate targets and endogenous information about current motivations. We present a model of the collicular structure based on bio- logical data, the speci city of which is related to the homogeneity of the underlying substratum of computation. This makes it more suitable to process massive visual ows on a distributed architecture, as it could be requested in a realistic task in autonomous robotics. The present model is restricted to the exogenous part of the visual pathway, from the retina to the superior colliculus. A realistic behavior for the selection of exogenous targets is reported here
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Particularly, the superior colliculus is known to be deeply involved in visual saccadic behavior. Target selection relies on various hints including exogenous information about the nature and the position of candidate targets and endogenous information about current motivations. We present a model of the collicular structure based on bio- logical data, the speci city of which is related to the homogeneity of the underlying substratum of computation. This makes it more suitable to process massive visual ows on a distributed architecture, as it could be requested in a realistic task in autonomous robotics. The present model is restricted to the exogenous part of the visual pathway, from the retina to the superior colliculus. A realistic behavior for the selection of exogenous targets is reported here</div></front></TEI><hal api="V3"><titleStmt><title xml:lang="en">Visual Target Selection Emerges from a Bio-inspired Network Topology</title><author role="aut"><persName><forename type="first">Wahiba</forename><surname>Taouali</surname></persName><email>wahiba.taouali@loria.fr</email><idno type="idhal">wahiba-taouali</idno><idno type="halauthor">424277</idno><affiliation ref="#struct-205107"></affiliation></author><author role="aut"><persName><forename type="first">Nicolas</forename><forename type="middle">P.</forename><surname>Rougier</surname></persName><email>Nicolas.Rougier@inria.fr</email><ptr type="url" target="http://www.loria.fr/~rougier"></ptr><idno type="idhal">nicolas-p-rougier</idno><idno type="halauthor">945983</idno><idno type="ORCID">http://orcid.org/0000-0002-6972-589X</idno><affiliation ref="#struct-188658"></affiliation></author><author role="aut"><persName><forename type="first">Frédéric</forename><surname>Alexandre</surname></persName><email>Frederic.Alexandre@inria.fr</email><idno type="idhal">frederic-alexandre</idno><idno type="halauthor">778506</idno><orgName ref="#struct-300009"></orgName><affiliation ref="#struct-188658"></affiliation><affiliation ref="#struct-3102"></affiliation><affiliation ref="#struct-244085"></affiliation></author><editor role="depositor"><persName><forename>Wahiba</forename><surname>Taouali</surname></persName><email>wtaouali@gmail.com</email></editor></titleStmt><editionStmt><edition n="v1" type="current"><date type="whenSubmitted">2011-10-27 16:13:36</date><date type="whenModified">2015-09-21 11:22:37</date><date type="whenReleased">2011-10-27 16:13:36</date><date type="whenProduced">2012</date></edition><respStmt><resp>contributor</resp><name key="142674"><persName><forename>Wahiba</forename><surname>Taouali</surname></persName><email>wtaouali@gmail.com</email></name></respStmt></editionStmt><publicationStmt><distributor>CCSD</distributor><idno type="halId">inria-00636517</idno><idno type="halUri">https://hal.inria.fr/inria-00636517</idno><idno type="halBibtex">taouali:inria-00636517</idno><idno type="halRefHtml">J. Kacprzyk. Studies in Computational Intelligence, Springer Verlag, 2012</idno><idno type="halRef">J. Kacprzyk. Studies in Computational Intelligence, Springer Verlag, 2012</idno></publicationStmt><seriesStmt><idno type="stamp" n="CNRS">CNRS - Centre national de la recherche scientifique</idno><idno type="stamp" n="INRIA">INRIA - Institut National de Recherche en Informatique et en Automatique</idno><idno type="stamp" n="LORIA2">Publications du LORIA</idno><idno type="stamp" n="INRIA-NANCY-GRAND-EST">INRIA Nancy - Grand Est</idno><idno type="stamp" n="LORIA">LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications</idno><idno type="stamp" n="LORIA-CSAI" p="LORIA">Systèmes complexes et intelligence artificielle</idno><idno type="stamp" n="INRIA-LORRAINE">INRIA Nancy - Grand Est</idno><idno type="stamp" n="INRIA-BORDEAUX">INRIA Bordeaux - Sud-Ouest</idno><idno type="stamp" n="LABRI">Laboratoire Bordelais de Recherche en Informatique</idno><idno type="stamp" n="UNIV-BORDEAUX">Université de Bordeaux</idno><idno type="stamp" n="ENSEIRB">Ecole Nationale Supérieure d'Electronique, Informatique et Radiocommunications de Bordeaux</idno><idno type="stamp" n="LABRI-MABIOVIS" p="LABRI">Modèles et algorithmes pour la bioinformatique et la visualisation d'informations</idno><idno type="stamp" n="INRIA_TEST">INRIA - Institut National de Recherche en Informatique et en Automatique</idno><idno type="stamp" n="TESTBORDEAUX">TESTBORDEAUX</idno><idno type="stamp" n="UNIV-LORRAINE">Université de Lorraine</idno></seriesStmt><notesStmt><note type="audience" n="2">International</note><note type="popular" n="0">No</note></notesStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Visual Target Selection Emerges from a Bio-inspired Network Topology</title><author role="aut"><persName><forename type="first">Wahiba</forename><surname>Taouali</surname></persName><email>wahiba.taouali@loria.fr</email><idno type="idHal">wahiba-taouali</idno><idno type="halAuthorId">424277</idno><affiliation ref="#struct-205107"></affiliation></author><author role="aut"><persName><forename type="first">Nicolas</forename><forename type="middle">P.</forename><surname>Rougier</surname></persName><email>Nicolas.Rougier@inria.fr</email><ptr type="url" target="http://www.loria.fr/~rougier"></ptr><idno type="idHal">nicolas-p-rougier</idno><idno type="halAuthorId">945983</idno><idno type="ORCID">http://orcid.org/0000-0002-6972-589X</idno><affiliation ref="#struct-188658"></affiliation></author><author role="aut"><persName><forename type="first">Frédéric</forename><surname>Alexandre</surname></persName><email>Frederic.Alexandre@inria.fr</email><idno type="idHal">frederic-alexandre</idno><idno type="halAuthorId">778506</idno><orgName ref="#struct-300009"></orgName><affiliation ref="#struct-188658"></affiliation><affiliation ref="#struct-3102"></affiliation><affiliation ref="#struct-244085"></affiliation></author></analytic><monogr><idno type="halJournalId" status="INCOMING">49435</idno><title level="j">Studies in Computational Intelligence</title><title level="m">Studies in Computational Intelligence</title><editor>J. Kacprzyk</editor><imprint><publisher>Springer Verlag</publisher><date type="datePub">2012</date></imprint></monogr></biblStruct></sourceDesc><profileDesc><langUsage><language ident="en">English</language></langUsage><textClass><keywords scheme="author"><term xml:lang="it">Superior Colliculus</term><term xml:lang="it">Dynamic Neural Field</term><term xml:lang="it">Visual Atten- tion</term><term xml:lang="it">Ocular Saccades</term></keywords><classCode scheme="halDomain" n="info.info-bi">Computer Science [cs]/Bioinformatics [q-bio.QM]</classCode><classCode scheme="halDomain" n="sdv.bibs">Life Sciences [q-bio]/Quantitative Methods [q-bio.QM]</classCode><classCode scheme="halDomain" n="info.info-ne">Computer Science [cs]/Neural and Evolutionary Computing [cs.NE]</classCode><classCode scheme="halTypology" n="COUV">Book section</classCode></textClass><abstract xml:lang="en">The orientation of sensors toward regions of interest of the environment is an important motor activity, monitored by ancient struc- tures of the brainstem. Particularly, the superior colliculus is known to be deeply involved in visual saccadic behavior. Target selection relies on various hints including exogenous information about the nature and the position of candidate targets and endogenous information about current motivations. We present a model of the collicular structure based on bio- logical data, the speci city of which is related to the homogeneity of the underlying substratum of computation. This makes it more suitable to process massive visual ows on a distributed architecture, as it could be requested in a realistic task in autonomous robotics. The present model is restricted to the exogenous part of the visual pathway, from the retina to the superior colliculus. A realistic behavior for the selection of exogenous targets is reported here</abstract></profileDesc></hal></record>Pour manipuler ce document sous Unix (Dilib)
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