{"id":"https://openalex.org/W2164144728","doi":"https://doi.org/10.1109/icsmc.2004.1401117","title":"A spiking neural network for behavior learning of a mobile robot in a dynamic environment","display_name":"A spiking neural network for behavior learning of a mobile robot in a dynamic environment","publication_year":2005,"publication_date":"2005-03-31","ids":{"openalex":"https://openalex.org/W2164144728","doi":"https://doi.org/10.1109/icsmc.2004.1401117","mag":"2164144728"},"language":"en","primary_location":{"id":"doi:10.1109/icsmc.2004.1401117","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2004.1401117","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583)","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/A5074076109","display_name":"Naoyuki Kubota","orcid":"https://orcid.org/0000-0001-8829-037X"},"institutions":[{"id":"https://openalex.org/I69740276","display_name":"Tokyo Metropolitan University","ror":"https://ror.org/00ws30h19","country_code":"JP","type":"education","lineage":["https://openalex.org/I69740276"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"N. Kubota","raw_affiliation_strings":["Department of Mechanical Engineering, Tokyo Metropolitan University, Japan","PREST, Japan Science and Technology Corporation, Hachioji, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Tokyo Metropolitan University, Japan","institution_ids":["https://openalex.org/I69740276"]},{"raw_affiliation_string":"PREST, Japan Science and Technology Corporation, Hachioji, Tokyo, Japan","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5074076109"],"corresponding_institution_ids":["https://openalex.org/I69740276"],"apc_list":null,"apc_paid":null,"fwci":1.3162,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.85300474,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"6","issue":null,"first_page":"5783","last_page":"5788"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9883000254631042,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9883000254631042,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.982200026512146,"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/T10581","display_name":"Neural dynamics and brain function","score":0.9746999740600586,"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":0.7571408748626709},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.6824720501899719},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5495879650115967},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.48385345935821533},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.4772108197212219},{"id":"https://openalex.org/keywords/spiking-neural-network","display_name":"Spiking neural network","score":0.426771342754364},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4259895086288452}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7571408748626709},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.6824720501899719},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5495879650115967},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.48385345935821533},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4772108197212219},{"id":"https://openalex.org/C11731999","wikidata":"https://www.wikidata.org/wiki/Q9067355","display_name":"Spiking neural network","level":3,"score":0.426771342754364},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4259895086288452}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsmc.2004.1401117","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2004.1401117","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6700000166893005,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W48463960","https://openalex.org/W1550940611","https://openalex.org/W1576452626","https://openalex.org/W1599105596","https://openalex.org/W1848448850","https://openalex.org/W1933657216","https://openalex.org/W2041465020","https://openalex.org/W2061457936","https://openalex.org/W2097856935","https://openalex.org/W2100526065","https://openalex.org/W2115117451","https://openalex.org/W2147677349","https://openalex.org/W2296595206","https://openalex.org/W2322677917","https://openalex.org/W4253354958","https://openalex.org/W4298869022","https://openalex.org/W4299830491","https://openalex.org/W6697264925"],"related_works":["https://openalex.org/W3126544799","https://openalex.org/W3104333581","https://openalex.org/W2542565870","https://openalex.org/W3111828357","https://openalex.org/W3018398156","https://openalex.org/W2920832517","https://openalex.org/W4388827557","https://openalex.org/W4387877594","https://openalex.org/W2122871747","https://openalex.org/W3114279067"],"abstract_inverted_index":{"It":[0],"is":[1,25,96,109],"very":[2],"difficult":[3],"to":[4,60,155],"design":[5],"the":[6,20,23,66,73,80,106,142,148,156,160],"learning":[7,38,126],"structure":[8],"of":[9,22,39,82,128,151,159],"a":[10,31,40,44,52,125],"robot":[11,42,67,143],"beforehand":[12],"in":[13,43],"an":[14],"unknown":[15],"and":[16,57,92,117,146],"dynamic":[17,45],"environment,":[18],"because":[19],"dynamics":[21],"environment":[24,46],"unknown.":[26],"Therefore,":[27,76],"this":[28,121],"paper":[29],"proposes":[30],"spiking":[32],"neural":[33,99],"network":[34],"(SNN)":[35],"for":[36],"behavior":[37,53,70,149],"mobile":[41],"including":[47,85],"multiple":[48],"moving":[49],"obstacles.":[50],"Furthermore,":[51],"should":[54,68],"be":[55],"acquired":[56,62],"improved":[58],"according":[59,154],"previously":[61],"behaviors.":[63],"This":[64],"indicates":[65],"accumulate":[69],"knowledge":[71,150],"through":[72],"lifetime":[74],"learning.":[75],"we":[77,123],"have":[78],"proposed":[79],"concept":[81],"structured":[83],"intelligence":[84],"three":[86],"components;":[87],"intuitive":[88],"inference,":[89,91],"logical":[90,107],"self-consciousness.":[93],"Intuitive":[94],"inference":[95,108],"realized":[97,110],"by":[98,111,130],"computing":[100,113],"based":[101,114],"on":[102,115],"numerical":[103],"processing,":[104],"while":[105],"fuzzy":[112,134,152],"linguistic":[116],"symbolic":[118],"processing.":[119],"In":[120],"paper,":[122],"propose":[124],"method":[127],"SNN":[129],"using":[131],"outputs":[132],"from":[133],"controllers":[135,153],"as":[136],"teaching":[137],"signals.":[138],"The":[139],"simulation":[140],"shows":[141],"can":[144],"extract":[145],"modifies":[147],"spatiotemporal":[157],"context":[158],"facing":[161],"environment.":[162]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}