{"id":"https://openalex.org/W2291598591","doi":"https://doi.org/10.1109/robio.2015.7418920","title":"Modulating the auditory turn-to reflex on the basis of multimodal feedback loops: The Dynamic Weighting model","display_name":"Modulating the auditory turn-to reflex on the basis of multimodal feedback loops: The Dynamic Weighting model","publication_year":2015,"publication_date":"2015-12-01","ids":{"openalex":"https://openalex.org/W2291598591","doi":"https://doi.org/10.1109/robio.2015.7418920","mag":"2291598591"},"language":"en","primary_location":{"id":"doi:10.1109/robio.2015.7418920","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio.2015.7418920","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Robotics and Biomimetics (ROBIO)","raw_type":"proceedings-article"},"type":"article","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/A5032027115","display_name":"Benjamin Cohen-Lhyver","orcid":null},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I39804081","display_name":"Sorbonne Universit\u00e9","ror":"https://ror.org/02en5vm52","country_code":"FR","type":"education","lineage":["https://openalex.org/I39804081"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Benjamin Cohen-Lhyver","raw_affiliation_strings":["CNRS, Paris, France","Sorbonne Universit\u00e9s, UPMC Univ. Paris, Paris, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CNRS, Paris, France","institution_ids":["https://openalex.org/I1294671590"]},{"raw_affiliation_string":"Sorbonne Universit\u00e9s, UPMC Univ. Paris, Paris, France","institution_ids":["https://openalex.org/I39804081"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029769026","display_name":"Sylvain Argentieri","orcid":"https://orcid.org/0000-0001-7258-797X"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I39804081","display_name":"Sorbonne Universit\u00e9","ror":"https://ror.org/02en5vm52","country_code":"FR","type":"education","lineage":["https://openalex.org/I39804081"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Sylvain Argentieri","raw_affiliation_strings":["CNRS, Paris, France","Sorbonne Universit\u00e9s, UPMC Univ. Paris, Paris, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CNRS, Paris, France","institution_ids":["https://openalex.org/I1294671590"]},{"raw_affiliation_string":"Sorbonne Universit\u00e9s, UPMC Univ. Paris, Paris, France","institution_ids":["https://openalex.org/I39804081"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076928318","display_name":"Bruno Gas","orcid":null},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I39804081","display_name":"Sorbonne Universit\u00e9","ror":"https://ror.org/02en5vm52","country_code":"FR","type":"education","lineage":["https://openalex.org/I39804081"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Bruno Gas","raw_affiliation_strings":["CNRS, Paris, France","Sorbonne Universit\u00e9s, UPMC Univ. Paris, Paris, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CNRS, Paris, France","institution_ids":["https://openalex.org/I1294671590"]},{"raw_affiliation_string":"Sorbonne Universit\u00e9s, UPMC Univ. Paris, Paris, France","institution_ids":["https://openalex.org/I39804081"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1665,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.56030247,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1109","last_page":"1114"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9948999881744385,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9948999881744385,"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/T10860","display_name":"Speech and Audio Processing","score":0.989799976348877,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10403","display_name":"Phonetics and Phonology Research","score":0.9879000186920166,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.7567808628082275},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7090519666671753},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.6356953978538513},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48352479934692383},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.46170976758003235},{"id":"https://openalex.org/keywords/auditory-feedback","display_name":"Auditory feedback","score":0.4303801953792572},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3707095980644226},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.0989048182964325}],"concepts":[{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.7567808628082275},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7090519666671753},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.6356953978538513},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48352479934692383},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.46170976758003235},{"id":"https://openalex.org/C2779864741","wikidata":"https://www.wikidata.org/wiki/Q4820027","display_name":"Auditory feedback","level":2,"score":0.4303801953792572},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3707095980644226},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0989048182964325},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","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},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/robio.2015.7418920","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio.2015.7418920","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Robotics and Biomimetics (ROBIO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W102482883","https://openalex.org/W1583116672","https://openalex.org/W1975764941","https://openalex.org/W1991247894","https://openalex.org/W2022288764","https://openalex.org/W2030882622","https://openalex.org/W2051850587","https://openalex.org/W2058840044","https://openalex.org/W2081753968","https://openalex.org/W2100818340","https://openalex.org/W2109660231","https://openalex.org/W2135835174","https://openalex.org/W2143169494","https://openalex.org/W2166682639","https://openalex.org/W2170899200","https://openalex.org/W4206633762","https://openalex.org/W6634873984","https://openalex.org/W6960057402"],"related_works":["https://openalex.org/W2180954594","https://openalex.org/W2052835778","https://openalex.org/W2049003611","https://openalex.org/W2108418243","https://openalex.org/W2127804977","https://openalex.org/W164103134","https://openalex.org/W2787352659","https://openalex.org/W1970611213","https://openalex.org/W4206560911","https://openalex.org/W4372260270"],"abstract_inverted_index":{"This":[0,125],"paper":[1],"is":[2,41,61,95,117,127,172],"focused":[3],"on":[4,25,64,76,168],"the":[5,30,98,107,122,141,154,158,179],"triggering":[6],"of":[7,29,100,104],"Spontaneous":[8],"Head":[9],"Movements":[10],"(SHM),":[11],"i.e.":[12],"head":[13],"movements":[14],"which":[15,48],"are":[16,81],"supposed":[17],"to":[18,21,53,85,109,144],"be":[19],"used":[20,82],"get":[22],"additional":[23],"information":[24],"a":[26,36,44,87,165,169],"specific":[27],"area":[28],"robot":[31,52,108,142,171],"environment.":[32,156],"For":[33],"that":[34],"purpose,":[35],"Dynamic":[37],"Weighting":[38],"model":[39,181],"(DWmod)":[40],"formulated":[42],"as":[43],"low-level":[45,184],"attention":[46,56,90],"algorithm":[47],"allows":[49],"an":[50],"exploratory":[51],"drive":[54],"its":[55,112],"toward":[57],"important":[58,118],"items.":[59],"DWmod":[60,84,94],"primarily":[62],"based":[63],"auditory":[65],"information,":[66],"possibly":[67],"coupled":[68],"with":[69,147],"visual":[70],"data.":[71],"These":[72],"audiovisual":[73],"characterizations":[74],"rely":[75],"classification":[77],"experts":[78],"whose":[79],"outputs":[80],"by":[83,93],"trigger":[86],"SHM.":[88],"The":[89],"mechanism":[91],"modeled":[92],"rooted":[96],"in":[97,121,130,135],"notion":[99],"congruence":[101],"and":[102,133,174],"predictability":[103],"items,":[105],"allowing":[106],"dynamically":[110],"create":[111],"own":[113],"rules":[114],"about":[115,153],"what":[116],"or":[119],"not":[120],"current":[123,155],"scene.":[124],"behavior":[126],"especially":[128],"relevant":[129],"exploration":[131],"tasks":[132],"particularly":[134],"search":[136],"&":[137],"rescue":[138],"scenarios,":[139],"where":[140],"has":[143],"react":[145],"quickly":[146],"potentially":[148],"no":[149],"knowledge":[150],"at":[151],"all":[152],"Within":[157],"Two!Ears":[159],"framework":[160],"<sup":[161],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[162],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sup>":[163],",":[164],"three-layered":[166],"architecture":[167],"simulated":[170],"developed,":[173],"simulation":[175],"results":[176],"demonstrate":[177],"how":[178],"proposed":[180],"outperform":[182],"basic":[183],"auditory-based":[185],"turn-to":[186],"reflexes.":[187]},"counts_by_year":[{"year":2020,"cited_by_count":3},{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}