{"id":"https://openalex.org/W2978646912","doi":"https://doi.org/10.1109/ijcnn.2019.8851919","title":"Spatial Map Learning with Self-Organizing Adaptive Recurrent Incremental Network","display_name":"Spatial Map Learning with Self-Organizing Adaptive Recurrent Incremental Network","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2978646912","doi":"https://doi.org/10.1109/ijcnn.2019.8851919","mag":"2978646912"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2019.8851919","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2019.8851919","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Joint Conference on Neural Networks (IJCNN)","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/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/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, Malaysia"],"affiliations":[{"raw_affiliation_string":"Faculty of Computer Science & Technology, University of Malaya, Malaysia","institution_ids":["https://openalex.org/I33849332"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056287221","display_name":"Zhaojie Ju","orcid":"https://orcid.org/0000-0002-9524-7609"},"institutions":[{"id":"https://openalex.org/I63072094","display_name":"University of Portsmouth","ror":"https://ror.org/03ykbk197","country_code":"GB","type":"education","lineage":["https://openalex.org/I63072094"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Zhaojie Ju","raw_affiliation_strings":["University of Portsmouth, Portsmouth, UK"],"affiliations":[{"raw_affiliation_string":"University of Portsmouth, Portsmouth, UK","institution_ids":["https://openalex.org/I63072094"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085867312","display_name":"Honghai Liu","orcid":"https://orcid.org/0000-0002-2880-4698"},"institutions":[{"id":"https://openalex.org/I63072094","display_name":"University of Portsmouth","ror":"https://ror.org/03ykbk197","country_code":"GB","type":"education","lineage":["https://openalex.org/I63072094"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Honghai Liu","raw_affiliation_strings":["University of Portsmouth, Portsmouth, UK"],"affiliations":[{"raw_affiliation_string":"University of Portsmouth, Portsmouth, UK","institution_ids":["https://openalex.org/I63072094"]}]}],"institutions":[],"countries_distinct_count":3,"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":0.3317,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.56253836,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"15","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9897000193595886,"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"}},"topics":[{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9897000193595886,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9860000014305115,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9855999946594238,"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/computer-science","display_name":"Computer science","score":0.7281416058540344},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5178635120391846},{"id":"https://openalex.org/keywords/incremental-learning","display_name":"Incremental learning","score":0.4300099015235901}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7281416058540344},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5178635120391846},{"id":"https://openalex.org/C2780735816","wikidata":"https://www.wikidata.org/wiki/Q28324931","display_name":"Incremental learning","level":2,"score":0.4300099015235901}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ijcnn.2019.8851919","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2019.8851919","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:researchportal.port.ac.uk:publications/af10442f-c002-4f85-8dad-0f9b559cd513","is_oa":false,"landing_page_url":"https://researchportal.port.ac.uk/portal/en/publications/spatial-map-learning-with-selforganizing-adaptive-recurrent-incremental-network(af10442f-c002-4f85-8dad-0f9b559cd513).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306401774","display_name":"Portsmouth Research Portal (University of Portsmouth)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I63072094","host_organization_name":"University of Portsmouth","host_organization_lineage":["https://openalex.org/I63072094"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5099999904632568,"display_name":"Life below water","id":"https://metadata.un.org/sdg/14"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1974367810","https://openalex.org/W2027910803","https://openalex.org/W2030021468","https://openalex.org/W2041152585","https://openalex.org/W2046372172","https://openalex.org/W2065395732","https://openalex.org/W2086454051","https://openalex.org/W2103692957","https://openalex.org/W2121780146","https://openalex.org/W2160584648","https://openalex.org/W2165260182","https://openalex.org/W2168571978","https://openalex.org/W2192024505","https://openalex.org/W2560612641","https://openalex.org/W2754791538","https://openalex.org/W2897223879","https://openalex.org/W6660540233"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W2350741829","https://openalex.org/W2530322880","https://openalex.org/W1596801655"],"abstract_inverted_index":{"Biological":[0],"information":[1,28],"inspires":[2],"the":[3,21,131,158],"advancement":[4],"of":[5,71,170,178],"a":[6,35,45,115,176],"navigational":[7],"mechanism":[8],"for":[9,37,122],"autonomous":[10],"robots":[11],"to":[12,24,56],"help":[13],"people":[14],"explore":[15],"and":[16,80,92,112,147,166,173],"map":[17,117,153,171],"real-world":[18,183],"environments.":[19,185],"However,":[20],"robot's":[22],"ability":[23],"constantly":[25],"acquire":[26],"environmental":[27],"in":[29,134,168,182],"real-world,":[30],"dynamic":[31],"environments":[32],"has":[33],"remained":[34],"challenge":[36],"many":[38],"years.":[39],"In":[40],"this":[41],"paper,":[42],"we":[43],"propose":[44],"self-organizing":[46],"adaptive":[47],"recurrent":[48],"incremental":[49],"network":[50],"that":[51,76,118,155],"models":[52],"human":[53],"episodic":[54,81,99],"memory":[55,82,126],"learn":[57],"spatiotemporal":[58],"representations":[59],"from":[60],"novel":[61,95],"sensory":[62,96],"data.":[63],"The":[64,161],"proposed":[65,162],"method":[66,163],"termed":[67],"as":[68,98],"SOARIN":[69,89,143],"consists":[70],"two":[72],"main":[73],"learning":[74,79,86,172],"process":[75],"is":[77,128,133,164],"active":[78,85],"playback.":[83],"For":[84],"(robot":[87],"exploration),":[88],"quickly":[90],"learns":[91],"adapts":[93],"incoming":[94],"data":[97],"neurons":[100,106],"via":[101],"competitive":[102],"Hebbian":[103],"Learning.":[104],"Episodic":[105,125],"are":[107],"connecting":[108],"with":[109],"each":[110],"other":[111],"gradually":[113,144],"forms":[114],"spatial":[116,152],"can":[119,156],"be":[120],"used":[121],"robot":[123,132,180],"localization.":[124],"playback":[127],"triggered":[129],"whenever":[130],"an":[135],"inactive":[136],"mode":[137],"(charging":[138],"or":[139],"hibernating).":[140],"During":[141],"playback,":[142],"integrates":[145],"knowledge":[146],"experience":[148],"into":[149],"more":[150],"consolidate":[151],"structures":[154],"overcome":[157],"catastrophic":[159],"forgetting.":[160],"analyzed":[165],"evaluated":[167],"term":[169],"localization":[174],"through":[175],"series":[177],"real":[179],"experiments":[181],"indoor":[184]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}