{"id":"https://openalex.org/W2115523504","doi":"https://doi.org/10.1109/ijcnn.2009.5178689","title":"A motor learning neural model based on Bayesian network and reinforcement learning","display_name":"A motor learning neural model based on Bayesian network and reinforcement learning","publication_year":2009,"publication_date":"2009-06-01","ids":{"openalex":"https://openalex.org/W2115523504","doi":"https://doi.org/10.1109/ijcnn.2009.5178689","mag":"2115523504"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2009.5178689","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2009.5178689","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 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/A5025142030","display_name":"Haruo Hosoya","orcid":"https://orcid.org/0000-0002-5660-0801"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Haruo Hosoya","raw_affiliation_strings":["Computer Science Department, University of Tokyo, Tokyo, Japan","Computer Science Department, University of Tokyo, Hongo 7-3-1, Bunkyo-ku, 113-0033, Japan"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]},{"raw_affiliation_string":"Computer Science Department, University of Tokyo, Hongo 7-3-1, Bunkyo-ku, 113-0033, Japan","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5025142030"],"corresponding_institution_ids":["https://openalex.org/I74801974"],"apc_list":null,"apc_paid":null,"fwci":0.5627,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.67336293,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"310","issue":null,"first_page":"1251","last_page":"1258"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9975000023841858,"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/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9965999722480774,"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/reinforcement-learning","display_name":"Reinforcement learning","score":0.8453177213668823},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6913467645645142},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6612976789474487},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5830186009407043},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.5390748977661133},{"id":"https://openalex.org/keywords/action-selection","display_name":"Action selection","score":0.5007989406585693},{"id":"https://openalex.org/keywords/competitive-learning","display_name":"Competitive learning","score":0.49654585123062134},{"id":"https://openalex.org/keywords/motor-learning","display_name":"Motor learning","score":0.44480639696121216},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4348149299621582},{"id":"https://openalex.org/keywords/hierarchy","display_name":"Hierarchy","score":0.43069350719451904},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.25399577617645264},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.12860062718391418}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8453177213668823},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6913467645645142},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6612976789474487},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5830186009407043},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.5390748977661133},{"id":"https://openalex.org/C166109690","wikidata":"https://www.wikidata.org/wiki/Q4677422","display_name":"Action selection","level":3,"score":0.5007989406585693},{"id":"https://openalex.org/C120822770","wikidata":"https://www.wikidata.org/wiki/Q5156355","display_name":"Competitive learning","level":3,"score":0.49654585123062134},{"id":"https://openalex.org/C107690735","wikidata":"https://www.wikidata.org/wiki/Q852461","display_name":"Motor learning","level":2,"score":0.44480639696121216},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4348149299621582},{"id":"https://openalex.org/C31170391","wikidata":"https://www.wikidata.org/wiki/Q188619","display_name":"Hierarchy","level":2,"score":0.43069350719451904},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.25399577617645264},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.12860062718391418},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C34447519","wikidata":"https://www.wikidata.org/wiki/Q179522","display_name":"Market economy","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/ijcnn.2009.5178689","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2009.5178689","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 International Joint Conference on Neural Networks","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.217.9748","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.217.9748","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://arbre.is.s.u-tokyo.ac.jp/~hahosoya/papers/reach.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.330.1178","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.330.1178","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://fias.uni-frankfurt.de/~cweber/09IJCNN/0166_Bayesian_RL.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W56869787","https://openalex.org/W1515851193","https://openalex.org/W1570688454","https://openalex.org/W1571179961","https://openalex.org/W1598361563","https://openalex.org/W1607052939","https://openalex.org/W1679913846","https://openalex.org/W1885639605","https://openalex.org/W2012592267","https://openalex.org/W2035808435","https://openalex.org/W2064527819","https://openalex.org/W2076256116","https://openalex.org/W2098580305","https://openalex.org/W2099169325","https://openalex.org/W2099652807","https://openalex.org/W2109059823","https://openalex.org/W2113653296","https://openalex.org/W2124892164","https://openalex.org/W2125663122","https://openalex.org/W2133861842","https://openalex.org/W2133877521","https://openalex.org/W2142277436","https://openalex.org/W2145889472","https://openalex.org/W2154727892","https://openalex.org/W2159080219","https://openalex.org/W2286812955","https://openalex.org/W2319588593","https://openalex.org/W2798149936","https://openalex.org/W2887242076","https://openalex.org/W2911283634","https://openalex.org/W2912889105","https://openalex.org/W2914656440","https://openalex.org/W4240035482"],"related_works":["https://openalex.org/W2015051472","https://openalex.org/W2168501056","https://openalex.org/W1965695708","https://openalex.org/W2120009678","https://openalex.org/W2912947802","https://openalex.org/W2160366419","https://openalex.org/W2590565095","https://openalex.org/W2037601570","https://openalex.org/W3203657119","https://openalex.org/W2123856982"],"abstract_inverted_index":{"A":[0],"number":[1],"of":[2,50,56,64,105,112],"models":[3],"based":[4],"on":[5],"Bayesian":[6,94],"network":[7,95,123],"have":[8],"recently":[9],"been":[10],"proposed":[11,76],"and":[12,59,110,142],"shown":[13],"to":[14,19,37,130],"be":[15],"biologically":[16,70],"plausible":[17],"enough":[18],"explain":[20],"various":[21],"phenomena":[22],"in":[23,40,42,100,102],"visual":[24],"cortex.":[25],"The":[26,62],"present":[27],"work":[28],"studies":[29],"how":[30,88],"far":[31],"the":[32,48],"same":[33],"approach":[34],"can":[35,91],"extend":[36],"motor":[38,146],"learning,":[39,46,99],"particular,":[41,101],"combination":[43],"with":[44,47,81,97,119],"reinforcement":[45,83,89],"aim":[49],"suggesting":[51],"a":[52,69,82,106,113,117,120,133],"possible":[53],"cooperation":[54],"mechanism":[55],"cerebral":[57,74],"cortex":[58,75],"basal":[60],"ganglia.":[61],"basis":[63],"our":[65,139],"model":[66,72],"is":[67],"BESOM,":[68],"solid":[71],"for":[73,145],"by":[77,125],"Ichisugi,":[78],"but":[79],"extended":[80],"learning":[84,90],"capability.":[85],"We":[86],"show":[87],"benefit":[92],"from":[93],"computations":[96],"unsupervised":[98],"approximate":[103],"representation":[104],"large":[107],"state-action":[108],"space":[109],"detection":[111],"goal":[114],"state.":[115],"By":[116],"simulation":[118],"concrete":[121],"BESOM":[122],"inspired":[124],"anatomically":[126],"known":[127],"cortical":[128],"hierarchy":[129],"carry":[131],"out":[132],"reach":[134],"movement":[135],"task,":[136],"we":[137],"demonstrate":[138],"model's":[140],"stable":[141],"robust":[143],"ability":[144],"learning.":[147]},"counts_by_year":[{"year":2012,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}