{"id":"https://openalex.org/W2163165533","doi":"https://doi.org/10.1109/fuzzy.2004.1375708","title":"Fuzzy canonical correlation and cluster analysis for brain mapping on long term memory consolidated by mnemonics","display_name":"Fuzzy canonical correlation and cluster analysis for brain mapping on long term memory consolidated by mnemonics","publication_year":2005,"publication_date":"2005-02-22","ids":{"openalex":"https://openalex.org/W2163165533","doi":"https://doi.org/10.1109/fuzzy.2004.1375708","mag":"2163165533"},"language":"en","primary_location":{"id":"doi:10.1109/fuzzy.2004.1375708","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2004.1375708","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 Fuzzy Systems (IEEE Cat. No.04CH37542)","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/A5111689699","display_name":"H. Ichihashi","orcid":null},"institutions":[{"id":"https://openalex.org/I15807432","display_name":"Osaka Prefecture University","ror":"https://ror.org/02cf1je33","country_code":"JP","type":"education","lineage":["https://openalex.org/I15807432"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"H. Ichihashi","raw_affiliation_strings":["Department of Industrial Engineering, Electric Engineering and Information Science, Osaka Prefecture University, Sakai, Osaka, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, Electric Engineering and Information Science, Osaka Prefecture University, Sakai, Osaka, Japan","institution_ids":["https://openalex.org/I15807432"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065073668","display_name":"Katsuhiro Honda","orcid":"https://orcid.org/0000-0001-9080-5942"},"institutions":[{"id":"https://openalex.org/I15807432","display_name":"Osaka Prefecture University","ror":"https://ror.org/02cf1je33","country_code":"JP","type":"education","lineage":["https://openalex.org/I15807432"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"K. Honda","raw_affiliation_strings":["Department of Industrial Engineering, Electric Engineering and Information Science, Osaka Prefecture University, Sakai, Osaka, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, Electric Engineering and Information Science, Osaka Prefecture University, Sakai, Osaka, Japan","institution_ids":["https://openalex.org/I15807432"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009309584","display_name":"Shoko Araki","orcid":"https://orcid.org/0000-0003-4363-4305"},"institutions":[{"id":"https://openalex.org/I1283155146","display_name":"Panasonic (Japan)","ror":"https://ror.org/011tm7n37","country_code":"JP","type":"company","lineage":["https://openalex.org/I1283155146"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"S. Araki","raw_affiliation_strings":["Intelligent Processing Technology Research Laboratory, Advanced Technology Research Laboratories, Matsushita Elecrric Indusrrial Company Limited, Soraku-gun, Kyoto, Japan"],"affiliations":[{"raw_affiliation_string":"Intelligent Processing Technology Research Laboratory, Advanced Technology Research Laboratories, Matsushita Elecrric Indusrrial Company Limited, Soraku-gun, Kyoto, Japan","institution_ids":["https://openalex.org/I1283155146"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5111689699"],"corresponding_institution_ids":["https://openalex.org/I15807432"],"apc_list":null,"apc_paid":null,"fwci":0.4388,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.75543607,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"155","last_page":"160"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9943000078201294,"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":0.9943000078201294,"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/T12946","display_name":"Fractal and DNA sequence analysis","score":0.9869999885559082,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9828000068664551,"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/mnemonic","display_name":"Mnemonic","score":0.6264839768409729},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6121402978897095},{"id":"https://openalex.org/keywords/voxel","display_name":"Voxel","score":0.5540600419044495},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5453563928604126},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5445073843002319},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5090569853782654},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.49976491928100586},{"id":"https://openalex.org/keywords/functional-magnetic-resonance-imaging","display_name":"Functional magnetic resonance imaging","score":0.4848826825618744},{"id":"https://openalex.org/keywords/canonical-correlation","display_name":"Canonical correlation","score":0.4825515151023865},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.4223371148109436},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3711588978767395},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24254727363586426},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1983213722705841},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.15847206115722656},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.09286084771156311}],"concepts":[{"id":"https://openalex.org/C197792726","wikidata":"https://www.wikidata.org/wiki/Q191062","display_name":"Mnemonic","level":2,"score":0.6264839768409729},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6121402978897095},{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.5540600419044495},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5453563928604126},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5445073843002319},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5090569853782654},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.49976491928100586},{"id":"https://openalex.org/C2779226451","wikidata":"https://www.wikidata.org/wiki/Q903809","display_name":"Functional magnetic resonance imaging","level":2,"score":0.4848826825618744},{"id":"https://openalex.org/C153874254","wikidata":"https://www.wikidata.org/wiki/Q115542","display_name":"Canonical correlation","level":2,"score":0.4825515151023865},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.4223371148109436},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3711588978767395},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24254727363586426},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1983213722705841},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.15847206115722656},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.09286084771156311},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzzy.2004.1375708","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2004.1375708","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 Fuzzy Systems (IEEE Cat. No.04CH37542)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.7300000190734863}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1519522181","https://openalex.org/W1970754582","https://openalex.org/W1976353255","https://openalex.org/W1994048043","https://openalex.org/W2002041442","https://openalex.org/W2016444985","https://openalex.org/W2025986147","https://openalex.org/W2084134149","https://openalex.org/W2113076747","https://openalex.org/W2116649573","https://openalex.org/W2155096497","https://openalex.org/W2161877964","https://openalex.org/W2166806817","https://openalex.org/W2171045029","https://openalex.org/W4237723258","https://openalex.org/W4238398947"],"related_works":["https://openalex.org/W2367413540","https://openalex.org/W1968846550","https://openalex.org/W4387164999","https://openalex.org/W2070623039","https://openalex.org/W1991315556","https://openalex.org/W2006749424","https://openalex.org/W2155515508","https://openalex.org/W3131670725","https://openalex.org/W2354853260","https://openalex.org/W1970646221"],"abstract_inverted_index":{"In":[0],"the":[1,4,8,21,49,85,114],"fMRI":[2,93,96],"study,":[3],"functional":[5,115],"responses":[6],"of":[7,44,51,87,117],"brain":[9,74],"differ":[10],"from":[11],"region":[12],"to":[13,65],"region,":[14],"and":[15,47,70,102,120],"are":[16],"little":[17],"more":[18,26],"complicated":[19],"than":[20],"simple":[22],"boxcar":[23],"waveform":[24,43],"or":[25],"sophisticated":[27],"but":[28],"single":[29],"hemodynamics":[30],"response":[31],"function.":[32],"Fuzzy":[33],"canonical":[34],"correlation":[35],"analysis":[36],"(FCCA)":[37],"is":[38],"developed,":[39],"which":[40],"can":[41],"detect":[42],"each":[45],"voxel":[46],"minimize":[48],"effect":[50],"false":[52],"activity":[53],"such":[54],"as":[55],"inner":[56],"speech":[57],"during":[58],"control":[59,71],"epochs.":[60],"This":[61],"makes":[62],"it":[63],"possible":[64],"design":[66],"an":[67],"elastic":[68],"experimental":[69],"block.":[72],"A":[73],"mapping":[75],"in":[76],"recalling":[77],"long":[78],"term":[79],"memories":[80],"consolidated":[81],"by":[82],"mnemonics":[83],"called":[84],"method":[86],"loci":[88],"was":[89],"carried":[90],"out":[91],"using":[92,100],"experiments.":[94],"The":[95,110],"signals":[97],"were":[98],"analyzed":[99],"SPM99":[101],"FCCA":[103],"together":[104],"with":[105],"fuzzy":[106],"c-means":[107],"(FCM)":[108],"clustering.":[109],"clustering":[111],"results":[112],"reveal":[113],"specialization":[116],"Broca's":[118],"area":[119],"visual":[121],"area.":[122]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}