{"id":"https://openalex.org/W2982395118","doi":"https://doi.org/10.1109/mhs.2018.8887062","title":"An Episodic Memory Model with Slow Features Extraction for Topological Map Building","display_name":"An Episodic Memory Model with Slow Features Extraction for Topological Map Building","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2982395118","doi":"https://doi.org/10.1109/mhs.2018.8887062","mag":"2982395118"},"language":"en","primary_location":{"id":"doi:10.1109/mhs.2018.8887062","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mhs.2018.8887062","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Symposium on Micro-NanoMechatronics and Human Science (MHS)","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/A5103276500","display_name":"Wei Hong Chin","orcid":"https://orcid.org/0000-0002-8592-9315"},"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":"Wei Hong Chin","raw_affiliation_strings":["Faculty of Systems Design, Tokyo Metropolitan University, Hino, Japan"],"affiliations":[{"raw_affiliation_string":"Faculty of Systems Design, Tokyo Metropolitan University, Hino, Japan","institution_ids":["https://openalex.org/I69740276"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087750601","display_name":"Yuichiro Toda","orcid":"https://orcid.org/0000-0003-4170-2300"},"institutions":[{"id":"https://openalex.org/I163770644","display_name":"Okayama University","ror":"https://ror.org/02pc6pc55","country_code":"JP","type":"education","lineage":["https://openalex.org/I163770644"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuichiro Toda","raw_affiliation_strings":["Graduate School of Natural Science and Technology, Okayama University, Okayama, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Natural Science and Technology, Okayama University, Okayama, Japan","institution_ids":["https://openalex.org/I163770644"]}]},{"author_position":"middle","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":false,"raw_author_name":"Naoyuki Kubota","raw_affiliation_strings":["Faculty of Systems Design, Tokyo Metropolitan University, Hino, Japan"],"affiliations":[{"raw_affiliation_string":"Faculty of Systems Design, Tokyo Metropolitan University, Hino, Japan","institution_ids":["https://openalex.org/I69740276"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012970754","display_name":"Jinseok Woo","orcid":"https://orcid.org/0000-0002-6118-6617"},"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":false,"raw_author_name":"Jinseok Woo","raw_affiliation_strings":["Faculty of Systems Design, Tokyo Metropolitan University, Hino, Japan"],"affiliations":[{"raw_affiliation_string":"Faculty of Systems Design, Tokyo Metropolitan University, Hino, Japan","institution_ids":["https://openalex.org/I69740276"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063587446","display_name":"Chu Kiong Loo","orcid":"https://orcid.org/0000-0001-7867-2665"},"institutions":[{"id":"https://openalex.org/I33849332","display_name":"University of Malaya","ror":"https://ror.org/00rzspn62","country_code":"MY","type":"education","lineage":["https://openalex.org/I33849332"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Chu Kiong Loo","raw_affiliation_strings":["Faculty of Computer Science & Technology, University of Malaya, Kuala Lumpur, Malaysia"],"affiliations":[{"raw_affiliation_string":"Faculty of Computer Science & Technology, University of Malaya, Kuala Lumpur, Malaysia","institution_ids":["https://openalex.org/I33849332"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5103276500"],"corresponding_institution_ids":["https://openalex.org/I69740276"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14179871,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"8","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9939000010490417,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/topological-map","display_name":"Topological map","score":0.7920897603034973},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7169350385665894},{"id":"https://openalex.org/keywords/traverse","display_name":"Traverse","score":0.6724743247032166},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6086233854293823},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.5451982021331787},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5345807075500488},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5206388831138611},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.5049243569374084},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.4920937418937683},{"id":"https://openalex.org/keywords/content-addressable-memory","display_name":"Content-addressable memory","score":0.463172972202301},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.44245675206184387},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4164165258407593},{"id":"https://openalex.org/keywords/adaptive-resonance-theory","display_name":"Adaptive resonance theory","score":0.4145342707633972},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40703943371772766},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.2893054485321045},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.20273113250732422},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.13885259628295898},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11124008893966675},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10455596446990967}],"concepts":[{"id":"https://openalex.org/C199538142","wikidata":"https://www.wikidata.org/wiki/Q573980","display_name":"Topological map","level":4,"score":0.7920897603034973},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7169350385665894},{"id":"https://openalex.org/C176809094","wikidata":"https://www.wikidata.org/wiki/Q15401496","display_name":"Traverse","level":2,"score":0.6724743247032166},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6086233854293823},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.5451982021331787},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5345807075500488},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5206388831138611},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.5049243569374084},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.4920937418937683},{"id":"https://openalex.org/C53442348","wikidata":"https://www.wikidata.org/wiki/Q745101","display_name":"Content-addressable memory","level":3,"score":0.463172972202301},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.44245675206184387},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4164165258407593},{"id":"https://openalex.org/C115755159","wikidata":"https://www.wikidata.org/wiki/Q352487","display_name":"Adaptive resonance theory","level":3,"score":0.4145342707633972},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40703943371772766},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.2893054485321045},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.20273113250732422},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.13885259628295898},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11124008893966675},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10455596446990967},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mhs.2018.8887062","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mhs.2018.8887062","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Symposium on Micro-NanoMechatronics and Human Science (MHS)","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":11,"referenced_works":["https://openalex.org/W1599888605","https://openalex.org/W1978289112","https://openalex.org/W2005821522","https://openalex.org/W2053008487","https://openalex.org/W2141681031","https://openalex.org/W2148856562","https://openalex.org/W2149863008","https://openalex.org/W2166489517","https://openalex.org/W2192024505","https://openalex.org/W2284029970","https://openalex.org/W6684448357"],"related_works":["https://openalex.org/W2377402383","https://openalex.org/W2380835401","https://openalex.org/W2381912691","https://openalex.org/W2350381577","https://openalex.org/W2192024505","https://openalex.org/W235301996","https://openalex.org/W4387459330","https://openalex.org/W2141188195","https://openalex.org/W1991860797","https://openalex.org/W4401507104"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,45,63,72,86],"new":[4],"integration":[5,24],"model":[6,19,108],"for":[7,58,129],"on-line":[8],"topological":[9,64],"map":[10],"building":[11],"with":[12],"environment":[13,59,68,124],"slow":[14,51],"features":[15,43,52],"detection.":[16],"The":[17,66,106,133],"proposed":[18,107,137],"is":[20,69,109,125,139],"formed":[21],"by":[22,141],"the":[23,97],"of":[25,74,121,131,135],"Bayesian":[26],"Adaptive":[27],"Resonance":[28],"Associative":[29],"Memory":[30],"(BARAM)":[31],"and":[32,77,89],"Incremental":[33],"Slow":[34],"Feature":[35],"Analysis":[36],"(IncSFA).":[37],"IncSFA":[38],"incrementally":[39],"extracts":[40],"slowly":[41],"varying":[42],"from":[44,101],"rapidly":[46],"changing":[47],"input":[48],"signal.":[49],"These":[50],"will":[53],"be":[54,128],"fed":[55],"to":[56,61,99,104,127],"BARAM":[57],"learning":[60,112],"build":[62],"map.":[65],"explored":[67],"represented":[70],"as":[71],"set":[73],"neurons":[75],"(nodes)":[76],"edges":[78,90],"that":[79,95,114],"connecting":[80],"all":[81],"nodes.":[82],"Each":[83],"neuron":[84],"represents":[85],"distinct":[87],"place":[88],"store":[91],"robot":[92,98],"traverse":[93],"information":[94],"leads":[96],"travel":[100],"one":[102],"node":[103],"another.":[105],"an":[110,123],"unsupervised":[111],"technique":[113],"does":[115],"not":[116],"require":[117],"any":[118],"prior":[119],"knowledge":[120],"what":[122],"supposed":[126],"ease":[130],"implementation.":[132],"effectiveness":[134],"our":[136],"method":[138],"validated":[140],"several":[142],"standardized":[143],"benchmark":[144],"datasets.":[145]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
