{"id":"https://openalex.org/W2126320380","doi":"https://doi.org/10.1109/euvip.2010.5699148","title":"Perception: Insights from the sensori-motor approach","display_name":"Perception: Insights from the sensori-motor approach","publication_year":2010,"publication_date":"2010-07-01","ids":{"openalex":"https://openalex.org/W2126320380","doi":"https://doi.org/10.1109/euvip.2010.5699148","mag":"2126320380"},"language":"en","primary_location":{"id":"doi:10.1109/euvip.2010.5699148","is_oa":false,"landing_page_url":"https://doi.org/10.1109/euvip.2010.5699148","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 2nd European Workshop on Visual Information Processing (EUVIP)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5113415549","display_name":"L. Hafemeister","orcid":null},"institutions":[{"id":"https://openalex.org/I4210142324","display_name":"CY Cergy Paris Universit\u00e9","ror":"https://ror.org/043htjv09","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210142324"]},{"id":"https://openalex.org/I86175216","display_name":"\u00c9cole Nationale Sup\u00e9rieure de l'\u00c9lectronique et de ses Applications","ror":"https://ror.org/03qeacd72","country_code":"FR","type":"education","lineage":["https://openalex.org/I86175216"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"L. Hafemeister","raw_affiliation_strings":["ETIS CNRS ENSEA, University of Cergy Pontoise, Cergy-Pontoise, France","ETIS CNRS ENSEA University Cergy-Pontoise F-95000, France"],"affiliations":[{"raw_affiliation_string":"ETIS CNRS ENSEA, University of Cergy Pontoise, Cergy-Pontoise, France","institution_ids":["https://openalex.org/I86175216","https://openalex.org/I4210142324","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"ETIS CNRS ENSEA University Cergy-Pontoise F-95000, France","institution_ids":["https://openalex.org/I86175216","https://openalex.org/I4210142324","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019060959","display_name":"Philippe Gaussier","orcid":"https://orcid.org/0000-0003-2028-2044"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210142324","display_name":"CY Cergy Paris Universit\u00e9","ror":"https://ror.org/043htjv09","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210142324"]},{"id":"https://openalex.org/I86175216","display_name":"\u00c9cole Nationale Sup\u00e9rieure de l'\u00c9lectronique et de ses Applications","ror":"https://ror.org/03qeacd72","country_code":"FR","type":"education","lineage":["https://openalex.org/I86175216"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"P. Gaussier","raw_affiliation_strings":["ETIS CNRS ENSEA, University of Cergy Pontoise, Cergy-Pontoise, France","ETIS CNRS ENSEA University Cergy-Pontoise F-95000, France"],"affiliations":[{"raw_affiliation_string":"ETIS CNRS ENSEA, University of Cergy Pontoise, Cergy-Pontoise, France","institution_ids":["https://openalex.org/I86175216","https://openalex.org/I4210142324","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"ETIS CNRS ENSEA University Cergy-Pontoise F-95000, France","institution_ids":["https://openalex.org/I86175216","https://openalex.org/I4210142324","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108986139","display_name":"M. Maillard","orcid":null},"institutions":[{"id":"https://openalex.org/I86175216","display_name":"\u00c9cole Nationale Sup\u00e9rieure de l'\u00c9lectronique et de ses Applications","ror":"https://ror.org/03qeacd72","country_code":"FR","type":"education","lineage":["https://openalex.org/I86175216"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210142324","display_name":"CY Cergy Paris Universit\u00e9","ror":"https://ror.org/043htjv09","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210142324"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"M. Maillard","raw_affiliation_strings":["ETIS CNRS ENSEA, University of Cergy Pontoise, Cergy-Pontoise, France","ETIS CNRS ENSEA University Cergy-Pontoise F-95000, France"],"affiliations":[{"raw_affiliation_string":"ETIS CNRS ENSEA, University of Cergy Pontoise, Cergy-Pontoise, France","institution_ids":["https://openalex.org/I86175216","https://openalex.org/I4210142324","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"ETIS CNRS ENSEA University Cergy-Pontoise F-95000, France","institution_ids":["https://openalex.org/I86175216","https://openalex.org/I4210142324","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007167591","display_name":"Sofiane Boucenna","orcid":"https://orcid.org/0000-0002-9385-1239"},"institutions":[{"id":"https://openalex.org/I4210142324","display_name":"CY Cergy Paris Universit\u00e9","ror":"https://ror.org/043htjv09","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210142324"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I86175216","display_name":"\u00c9cole Nationale Sup\u00e9rieure de l'\u00c9lectronique et de ses Applications","ror":"https://ror.org/03qeacd72","country_code":"FR","type":"education","lineage":["https://openalex.org/I86175216"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"S. Boucenna","raw_affiliation_strings":["ETIS CNRS ENSEA, University of Cergy Pontoise, Cergy-Pontoise, France","ETIS CNRS ENSEA University Cergy-Pontoise F-95000, France"],"affiliations":[{"raw_affiliation_string":"ETIS CNRS ENSEA, University of Cergy Pontoise, Cergy-Pontoise, France","institution_ids":["https://openalex.org/I86175216","https://openalex.org/I4210142324","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"ETIS CNRS ENSEA University Cergy-Pontoise F-95000, France","institution_ids":["https://openalex.org/I86175216","https://openalex.org/I4210142324","https://openalex.org/I1294671590"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057509690","display_name":"Carine Giovannangeli","orcid":"https://orcid.org/0000-0002-7715-8864"},"institutions":[{"id":"https://openalex.org/I86175216","display_name":"\u00c9cole Nationale Sup\u00e9rieure de l'\u00c9lectronique et de ses Applications","ror":"https://ror.org/03qeacd72","country_code":"FR","type":"education","lineage":["https://openalex.org/I86175216"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210142324","display_name":"CY Cergy Paris Universit\u00e9","ror":"https://ror.org/043htjv09","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210142324"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"C. Giovannangeli","raw_affiliation_strings":["ETIS CNRS ENSEA, University of Cergy Pontoise, Cergy-Pontoise, France","ETIS CNRS ENSEA University Cergy-Pontoise F-95000, France"],"affiliations":[{"raw_affiliation_string":"ETIS CNRS ENSEA, University of Cergy Pontoise, Cergy-Pontoise, France","institution_ids":["https://openalex.org/I86175216","https://openalex.org/I4210142324","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"ETIS CNRS ENSEA University Cergy-Pontoise F-95000, France","institution_ids":["https://openalex.org/I86175216","https://openalex.org/I4210142324","https://openalex.org/I1294671590"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5113415549"],"corresponding_institution_ids":["https://openalex.org/I4210142324","https://openalex.org/I86175216","https://openalex.org/I1294671590"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.25799607,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"192","issue":null,"first_page":"261","last_page":"268"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9922000169754028,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9922000169754028,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10427","display_name":"Visual perception and processing mechanisms","score":0.9613000154495239,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11094","display_name":"Face Recognition and Perception","score":0.9524000287055969,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7093092203140259},{"id":"https://openalex.org/keywords/attractor","display_name":"Attractor","score":0.6360284090042114},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.6208544373512268},{"id":"https://openalex.org/keywords/perceptual-system","display_name":"Perceptual system","score":0.5107953548431396},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5014524459838867},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.45978477597236633},{"id":"https://openalex.org/keywords/dynamical-systems-theory","display_name":"Dynamical systems theory","score":0.4555068016052246},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.4383275508880615},{"id":"https://openalex.org/keywords/visual-perception","display_name":"Visual perception","score":0.4272928833961487},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.4159141778945923},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.37340086698532104},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.36509472131729126},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.16641739010810852}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7093092203140259},{"id":"https://openalex.org/C164380108","wikidata":"https://www.wikidata.org/wiki/Q507187","display_name":"Attractor","level":2,"score":0.6360284090042114},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.6208544373512268},{"id":"https://openalex.org/C28063669","wikidata":"https://www.wikidata.org/wiki/Q7167042","display_name":"Perceptual system","level":3,"score":0.5107953548431396},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5014524459838867},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.45978477597236633},{"id":"https://openalex.org/C79379906","wikidata":"https://www.wikidata.org/wiki/Q3174497","display_name":"Dynamical systems theory","level":2,"score":0.4555068016052246},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.4383275508880615},{"id":"https://openalex.org/C178253425","wikidata":"https://www.wikidata.org/wiki/Q162668","display_name":"Visual perception","level":3,"score":0.4272928833961487},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.4159141778945923},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.37340086698532104},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.36509472131729126},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.16641739010810852},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/euvip.2010.5699148","is_oa":false,"landing_page_url":"https://doi.org/10.1109/euvip.2010.5699148","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 2nd European Workshop on Visual Information Processing (EUVIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W389855685","https://openalex.org/W576881103","https://openalex.org/W1933657216","https://openalex.org/W1978052431","https://openalex.org/W1993300073","https://openalex.org/W1995380792","https://openalex.org/W2035226206","https://openalex.org/W2045107015","https://openalex.org/W2057217971","https://openalex.org/W2063645887","https://openalex.org/W2109995759","https://openalex.org/W2126396125","https://openalex.org/W2137503494","https://openalex.org/W2144088473","https://openalex.org/W2145567016","https://openalex.org/W2151103935","https://openalex.org/W2170762885","https://openalex.org/W2325319302","https://openalex.org/W2587573685","https://openalex.org/W3147260715","https://openalex.org/W6648451707"],"related_works":["https://openalex.org/W3049714198","https://openalex.org/W2960434112","https://openalex.org/W2036805113","https://openalex.org/W2592279130","https://openalex.org/W2049158118","https://openalex.org/W2123827981","https://openalex.org/W4390104281","https://openalex.org/W1979623747","https://openalex.org/W4318185075","https://openalex.org/W332242623"],"abstract_inverted_index":{"A":[0],"wide":[1],"variety":[2],"of":[3,14,35,53,67,93,99,104,109,112,153,187,209,217],"visual":[4,94,161],"recognition":[5,30],"systems":[6],"are":[7,169],"developed":[8],"for":[9,47,206],"precise":[10],"tasks":[11],"and":[12,50,76,95,174,227,252],"types":[13],"objects.":[15],"In":[16,156],"this":[17],"paper":[18],"we":[19,61,125,138],"would":[20],"like":[21],"to":[22,25,63,147,176,184,191,222,231],"emphasize":[23],"ways":[24],"build":[26],"a":[27,44,84,118,121,128,185,193,199,218,223,233],"more":[28],"generic":[29],"system.":[31],"Perception":[32],"is":[33],"one":[34,46],"these":[36],"mechanisms":[37],"that":[38,124],"psychologists":[39],"particularly":[40],"pointed":[41],"out":[42],"as":[43,127,171],"fundamental":[45],"actively":[48],"organizing":[49],"making":[51],"sense":[52],"input":[54],"sensory":[55,110],"information.":[56],"Based":[57],"on":[58,80,90,164],"psychological":[59],"assumptions,":[60],"propose":[62],"explore":[64],"the":[65,72,91,100,105,215,229,245,249],"concept":[66],"perception,":[68],"infer":[69],"formalization":[70],"in":[71,151,189,236],"dynamical":[73,122],"system":[74],"framework":[75],"quantitatively":[77],"analyze":[78],"it":[79],"robotic":[81],"platforms":[82],"using":[83],"unique":[85],"simple":[86,141],"neuronal":[87],"architecture":[88,143],"based":[89,163],"association":[92],"motor":[96],"information":[97,113],"(movements":[98],"body":[101],"or":[102,134,179,197,211],"part":[103],"body).":[106],"This":[107],"coupling":[108],"flows":[111],"can":[114,144],"be":[115,145],"characterized":[116],"by":[117],"sensorimotor":[119],"invariant,":[120],"attractor":[123,226],"identify":[126],"perception":[129,220],"function.":[130],"For":[131],"place,":[132],"object":[133,196],"facial":[135,200],"expression":[136],"recognition,":[137],"show":[139,243],"how":[140,244],"sensori-motor":[142,225],"applied":[146],"accomplish":[148],"each":[149,157],"task":[150],"terms":[152],"behavioral":[154],"recognition.":[155],"application,":[158],"some":[159],"pertinent":[160],"information,":[162],"classical":[165],"focus":[166],"point":[167],"detection,":[168],"organized":[170],"local":[172],"views":[173],"associated":[175],"an":[177,180,195],"action":[178],"internal":[181],"state":[182],"corresponding":[183],"set":[186],"actions,":[188],"order":[190],"reach":[192],"location,":[194],"recognize":[198],"expression.":[201],"The":[202],"active":[203],"learning":[204,250],"phase":[205,251],"different":[207,238],"points":[208],"view":[210],"face":[212],"expressions":[213],"allows":[214,228],"emergence":[216],"stable":[219,224,234],"linked":[221],"robot":[230],"perform":[232],"behavior":[235],"very":[237],"initial":[239],"conditions.":[240],"We":[241],"will":[242],"attractor/perception":[246],"emerges":[247],"during":[248],"evaluate":[253],"its":[254],"spatial":[255],"generalization":[256],"properties.":[257]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
