Emergence of attention within a neural population.
Identifieur interne : 000169 ( PubMed/Corpus ); précédent : 000168; suivant : 000170Emergence of attention within a neural population.
Auteurs : Nicolas P. Rougier ; Julien VitaySource :
- Neural networks : the official journal of the International Neural Network Society [ 0893-6080 ] ; 2006.
English descriptors
- KwdEn :
- MESH :
- methods : Photic Stimulation.
- physiology : Attention, Motion Perception, Neurons.
- Animals, Field Dependence-Independence, Humans, Models, Neurological, Normal Distribution.
Abstract
We present a dynamic model of attention based on the Continuum Neural Field Theory that explains attention as being an emergent property of a neural population. This model is experimentally proved to be very robust and able to track one static or moving target in the presence of very strong noise or in the presence of a lot of distractors, even more salient than the target. This attentional property is not restricted to the visual case and can be considered as a generic attentional process of any spatio-temporal continuous input.
DOI: 10.1016/j.neunet.2005.04.004
PubMed: 16019188
Links to Exploration step
pubmed:16019188Le document en format XML
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Rougier</name><affiliation><nlm:affiliation>Loria Laboratory, Campus Scientifique, B.P. 239, 54506 Vandoeuvre-lès-Nancy Cedex, France. nicolas.rougier@loria.fr</nlm:affiliation></affiliation></author><author><name sortKey="Vitay, Julien" sort="Vitay, Julien" uniqKey="Vitay J" first="Julien" last="Vitay">Julien Vitay</name></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2006">2006</date><idno type="doi">10.1016/j.neunet.2005.04.004</idno><idno type="RBID">pubmed:16019188</idno><idno type="pmid">16019188</idno><idno type="wicri:Area/PubMed/Corpus">000169</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">000169</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Emergence of attention within a neural population.</title><author><name sortKey="Rougier, Nicolas P" sort="Rougier, Nicolas P" uniqKey="Rougier N" first="Nicolas P" last="Rougier">Nicolas P. Rougier</name><affiliation><nlm:affiliation>Loria Laboratory, Campus Scientifique, B.P. 239, 54506 Vandoeuvre-lès-Nancy Cedex, France. nicolas.rougier@loria.fr</nlm:affiliation></affiliation></author><author><name sortKey="Vitay, Julien" sort="Vitay, Julien" uniqKey="Vitay J" first="Julien" last="Vitay">Julien Vitay</name></author></analytic><series><title level="j">Neural networks : the official journal of the International Neural Network Society</title><idno type="ISSN">0893-6080</idno><imprint><date when="2006" type="published">2006</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Animals</term><term>Attention (physiology)</term><term>Field Dependence-Independence</term><term>Humans</term><term>Models, Neurological</term><term>Motion Perception (physiology)</term><term>Neurons (physiology)</term><term>Normal Distribution</term><term>Photic Stimulation (methods)</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Photic Stimulation</term></keywords><keywords scheme="MESH" qualifier="physiology" xml:lang="en"><term>Attention</term><term>Motion Perception</term><term>Neurons</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Animals</term><term>Field Dependence-Independence</term><term>Humans</term><term>Models, Neurological</term><term>Normal Distribution</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">We present a dynamic model of attention based on the Continuum Neural Field Theory that explains attention as being an emergent property of a neural population. This model is experimentally proved to be very robust and able to track one static or moving target in the presence of very strong noise or in the presence of a lot of distractors, even more salient than the target. This attentional property is not restricted to the visual case and can be considered as a generic attentional process of any spatio-temporal continuous input.</div></front></TEI><pubmed><MedlineCitation Owner="NLM" Status="MEDLINE"><PMID Version="1">16019188</PMID><DateCreated><Year>2006</Year><Month>07</Month><Day>14</Day></DateCreated><DateCompleted><Year>2006</Year><Month>09</Month><Day>08</Day></DateCompleted><DateRevised><Year>2006</Year><Month>11</Month><Day>15</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Print">0893-6080</ISSN><JournalIssue CitedMedium="Print"><Volume>19</Volume><Issue>5</Issue><PubDate><Year>2006</Year><Month>Jun</Month></PubDate></JournalIssue><Title>Neural networks : the official journal of the International Neural Network Society</Title><ISOAbbreviation>Neural Netw</ISOAbbreviation></Journal><ArticleTitle>Emergence of attention within a neural population.</ArticleTitle><Pagination><MedlinePgn>573-81</MedlinePgn></Pagination><Abstract><AbstractText>We present a dynamic model of attention based on the Continuum Neural Field Theory that explains attention as being an emergent property of a neural population. This model is experimentally proved to be very robust and able to track one static or moving target in the presence of very strong noise or in the presence of a lot of distractors, even more salient than the target. This attentional property is not restricted to the visual case and can be considered as a generic attentional process of any spatio-temporal continuous input.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Rougier</LastName><ForeName>Nicolas P</ForeName><Initials>NP</Initials><AffiliationInfo><Affiliation>Loria Laboratory, Campus Scientifique, B.P. 239, 54506 Vandoeuvre-lès-Nancy Cedex, France. nicolas.rougier@loria.fr</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Vitay</LastName><ForeName>Julien</ForeName><Initials>J</Initials></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D003160">Comparative Study</PublicationType><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2005</Year><Month>07</Month><Day>12</Day></ArticleDate></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>Neural Netw</MedlineTA><NlmUniqueID>8805018</NlmUniqueID><ISSNLinking>0893-6080</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName MajorTopicYN="N" UI="D000818">Animals</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D001288">Attention</DescriptorName><QualifierName MajorTopicYN="Y" UI="Q000502">physiology</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D005364">Field Dependence-Independence</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D006801">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="Y" UI="D008959">Models, Neurological</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D009039">Motion Perception</DescriptorName><QualifierName MajorTopicYN="Y" UI="Q000502">physiology</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D009474">Neurons</DescriptorName><QualifierName MajorTopicYN="Y" UI="Q000502">physiology</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D016011">Normal Distribution</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D010775">Photic Stimulation</DescriptorName><QualifierName MajorTopicYN="N" UI="Q000379">methods</QualifierName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2004</Year><Month>9</Month><Day>2</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2005</Year><Month>4</Month><Day>15</Day></PubMedPubDate><PubMedPubDate PubStatus="aheadofprint"><Year>2005</Year><Month>7</Month><Day>12</Day></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2005</Year><Month>7</Month><Day>16</Day><Hour>9</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2006</Year><Month>9</Month><Day>9</Day><Hour>9</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2005</Year><Month>7</Month><Day>16</Day><Hour>9</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pii">S0893-6080(05)00081-X</ArticleId><ArticleId IdType="doi">10.1016/j.neunet.2005.04.004</ArticleId><ArticleId IdType="pubmed">16019188</ArticleId></ArticleIdList></PubmedData></pubmed></record>Pour manipuler ce document sous Unix (Dilib)
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