{"id":"https://openalex.org/W2039524172","doi":"https://doi.org/10.1109/ijcnn.2007.4371203","title":"Encoding Complete Body Models Enables Task Dependent Optimal Behavior","display_name":"Encoding Complete Body Models Enables Task Dependent Optimal Behavior","publication_year":2007,"publication_date":"2007-08-01","ids":{"openalex":"https://openalex.org/W2039524172","doi":"https://doi.org/10.1109/ijcnn.2007.4371203","mag":"2039524172"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2007.4371203","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2007.4371203","pdf_url":null,"source":{"id":"https://openalex.org/S4210195743","display_name":"IEEE International Conference on Neural Networks/IEEE ... International Conference on Neural Networks","issn_l":"1098-7576","issn":["1098-7576","1558-3902"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 International Joint Conference on Neural Networks","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/A5015368716","display_name":"Oliver Herbort","orcid":"https://orcid.org/0000-0002-8455-5614"},"institutions":[{"id":"https://openalex.org/I25974101","display_name":"University of W\u00fcrzburg","ror":"https://ror.org/00fbnyb24","country_code":"DE","type":"education","lineage":["https://openalex.org/I25974101"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Oliver Herbort","raw_affiliation_strings":["Department of Cognitive Psychology, University of W\u00fcrzburg, Germany","Univ. of Wurzburg, Wurzburg"],"affiliations":[{"raw_affiliation_string":"Department of Cognitive Psychology, University of W\u00fcrzburg, Germany","institution_ids":["https://openalex.org/I25974101"]},{"raw_affiliation_string":"Univ. of Wurzburg, Wurzburg","institution_ids":["https://openalex.org/I25974101"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075919503","display_name":"Martin V. Butz","orcid":"https://orcid.org/0000-0002-8120-8537"},"institutions":[{"id":"https://openalex.org/I25974101","display_name":"University of W\u00fcrzburg","ror":"https://ror.org/00fbnyb24","country_code":"DE","type":"education","lineage":["https://openalex.org/I25974101"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Martin V. Butz","raw_affiliation_strings":["Department of Cognitive Psychology, University of W\u00fcrzburg, Germany","Univ. of Wurzburg, Wurzburg"],"affiliations":[{"raw_affiliation_string":"Department of Cognitive Psychology, University of W\u00fcrzburg, Germany","institution_ids":["https://openalex.org/I25974101"]},{"raw_affiliation_string":"Univ. of Wurzburg, Wurzburg","institution_ids":["https://openalex.org/I25974101"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5015368716"],"corresponding_institution_ids":["https://openalex.org/I25974101"],"apc_list":null,"apc_paid":null,"fwci":2.936,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.90909091,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1639","last_page":"1644"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10982","display_name":"Motor Control and Adaptation","score":0.9998000264167786,"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/T10982","display_name":"Motor Control and Adaptation","score":0.9998000264167786,"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/T10784","display_name":"Muscle activation and electromyography studies","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11431","display_name":"Action Observation and Synchronization","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social 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/computer-science","display_name":"Computer science","score":0.751703143119812},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.7406091690063477},{"id":"https://openalex.org/keywords/kinematics","display_name":"Kinematics","score":0.7395789623260498},{"id":"https://openalex.org/keywords/neurophysiology","display_name":"Neurophysiology","score":0.6003762483596802},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5221760272979736},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5061435103416443},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5038325190544128},{"id":"https://openalex.org/keywords/motor-control","display_name":"Motor control","score":0.462650865316391},{"id":"https://openalex.org/keywords/motor-learning","display_name":"Motor learning","score":0.4508296847343445},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.4181153476238251},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3321754038333893},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.1133154034614563},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10135740041732788},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.08583444356918335}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.751703143119812},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.7406091690063477},{"id":"https://openalex.org/C39920418","wikidata":"https://www.wikidata.org/wiki/Q11476","display_name":"Kinematics","level":2,"score":0.7395789623260498},{"id":"https://openalex.org/C152478114","wikidata":"https://www.wikidata.org/wiki/Q660910","display_name":"Neurophysiology","level":2,"score":0.6003762483596802},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5221760272979736},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5061435103416443},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5038325190544128},{"id":"https://openalex.org/C137813230","wikidata":"https://www.wikidata.org/wiki/Q2996165","display_name":"Motor control","level":2,"score":0.462650865316391},{"id":"https://openalex.org/C107690735","wikidata":"https://www.wikidata.org/wiki/Q852461","display_name":"Motor learning","level":2,"score":0.4508296847343445},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.4181153476238251},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3321754038333893},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.1133154034614563},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10135740041732788},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.08583444356918335},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2007.4371203","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2007.4371203","pdf_url":null,"source":{"id":"https://openalex.org/S4210195743","display_name":"IEEE International Conference on Neural Networks/IEEE ... International Conference on Neural Networks","issn_l":"1098-7576","issn":["1098-7576","1558-3902"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 International Joint Conference on Neural Networks","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":17,"referenced_works":["https://openalex.org/W13336411","https://openalex.org/W1953317701","https://openalex.org/W1978208912","https://openalex.org/W1980440818","https://openalex.org/W1986012099","https://openalex.org/W2037039321","https://openalex.org/W2077247990","https://openalex.org/W2085273507","https://openalex.org/W2090112990","https://openalex.org/W2097188373","https://openalex.org/W2097815751","https://openalex.org/W2105872427","https://openalex.org/W2114414717","https://openalex.org/W2132003317","https://openalex.org/W2150012741","https://openalex.org/W4242567232","https://openalex.org/W6600544773"],"related_works":["https://openalex.org/W2588888849","https://openalex.org/W2014232478","https://openalex.org/W4253990478","https://openalex.org/W2990392814","https://openalex.org/W1576113237","https://openalex.org/W3106381531","https://openalex.org/W2561177598","https://openalex.org/W2752397589","https://openalex.org/W2026174440","https://openalex.org/W3037195770"],"abstract_inverted_index":{"Many":[0],"neural":[1,27],"network":[2,28],"models":[3,35],"of":[4,12,70,102,116],"(human)":[5],"motor":[6,21,48],"learning":[7],"focus":[8],"on":[9,42,46,75,81],"the":[10,43,47,82,96,100,127],"acquisition":[11],"direct":[13],"goal-to-action":[14],"mappings,":[15],"which":[16],"results":[17],"in":[18,51,89],"rather":[19],"inflexible":[20],"control":[22],"programs.":[23],"We":[24],"propose":[25],"a":[26,103,111],"architecture":[29],"(SURE_REACH)":[30],"that":[31,63],"acquires":[32],"complete":[33],"body":[34],"through":[36],"unsupervised":[37],"learning.":[38],"It":[39],"encodes":[40],"redundancy":[41],"kinematic":[44,77],"and":[45,119,123],"command":[49],"level":[50],"order":[52],"to":[53,109,121],"exert":[54],"highly":[55],"flexible,":[56],"task-dependent":[57],"optimal":[58],"control.":[59],"This":[60],"paper":[61],"shows":[62],"our":[64],"approach":[65],"accounts":[66],"for":[67],"two":[68],"forms":[69],"effective":[71],"human":[72],"behavior":[73],"based":[74],"exploiting":[76],"redundancy.":[78],"First,":[79],"depending":[80],"starting":[83],"posture,":[84],"hand":[85],"targets":[86],"are":[87],"pursued":[88],"different":[90],"ways":[91],"optimizing":[92],"movement":[93,104],"efficiency.":[94],"Second,":[95],"arm":[97],"posture":[98],"at":[99],"end":[101],"can":[105],"be":[106],"aligned":[107],"anticipatorily":[108],"facilitate":[110],"subsequent":[112],"movement.":[113],"A":[114],"discussion":[115],"computational":[117],"implications":[118],"relations":[120],"behavioral":[122],"neurophysiological":[124],"findings":[125],"concludes":[126],"paper.":[128]},"counts_by_year":[{"year":2013,"cited_by_count":3}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}
