{"id":"https://openalex.org/W4392157464","doi":"https://doi.org/10.1109/tcds.2024.3370261","title":"D-FaST: Cognitive Signal Decoding With Disentangled Frequency\u2013Spatial\u2013Temporal Attention","display_name":"D-FaST: Cognitive Signal Decoding With Disentangled Frequency\u2013Spatial\u2013Temporal Attention","publication_year":2024,"publication_date":"2024-02-26","ids":{"openalex":"https://openalex.org/W4392157464","doi":"https://doi.org/10.1109/tcds.2024.3370261"},"language":"en","primary_location":{"id":"doi:10.1109/tcds.2024.3370261","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcds.2024.3370261","pdf_url":null,"source":{"id":"https://openalex.org/S2488537894","display_name":"IEEE Transactions on Cognitive and Developmental Systems","issn_l":"2379-8920","issn":["2379-8920","2379-8939"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Cognitive and Developmental Systems","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2406.02602","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5114585404","display_name":"Weiguo Chen","orcid":"https://orcid.org/0009-0005-5365-9735"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"WeiGuo Chen","raw_affiliation_strings":["National University of Defense Technology, Changsha, Hunan, China"],"raw_orcid":"https://orcid.org/0009-0005-5365-9735","affiliations":[{"raw_affiliation_string":"National University of Defense Technology, Changsha, Hunan, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102003608","display_name":"Changjian Wang","orcid":"https://orcid.org/0000-0002-1160-0365"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changjian Wang","raw_affiliation_strings":["National University of Defense Technology, Changsha, Hunan, China"],"raw_orcid":"https://orcid.org/0000-0002-1160-0365","affiliations":[{"raw_affiliation_string":"National University of Defense Technology, Changsha, Hunan, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013340793","display_name":"Kele Xu","orcid":"https://orcid.org/0000-0001-5997-5169"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kele Xu","raw_affiliation_strings":["National University of Defense Technology, Changsha, Hunan, China"],"raw_orcid":"https://orcid.org/0000-0001-5997-5169","affiliations":[{"raw_affiliation_string":"National University of Defense Technology, Changsha, Hunan, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036886890","display_name":"Yuan Yuan","orcid":"https://orcid.org/0009-0004-5072-6093"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Yuan","raw_affiliation_strings":["National University of Defense Technology, Changsha, Hunan, China"],"raw_orcid":"https://orcid.org/0009-0004-5072-6093","affiliations":[{"raw_affiliation_string":"National University of Defense Technology, Changsha, Hunan, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yanru Bai","orcid":"https://orcid.org/0000-0003-3959-7898"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]},{"id":"https://openalex.org/I5740404","display_name":"Tianjin Medical University","ror":"https://ror.org/02mh8wx89","country_code":"CN","type":"education","lineage":["https://openalex.org/I5740404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanru Bai","raw_affiliation_strings":["Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0003-3959-7898","affiliations":[{"raw_affiliation_string":"Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I5740404","https://openalex.org/I162868743"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5114585468","display_name":"Dongsong Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I38756568","display_name":"Xinyang College of Agriculture and Forestry","ror":"https://ror.org/017t6fa07","country_code":"CN","type":"education","lineage":["https://openalex.org/I38756568"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongsong Zhang","raw_affiliation_strings":["School of Big Data and Artificial Intelligence, Xinyang College, Xinyang, Henan, China"],"raw_orcid":"https://orcid.org/0009-0004-1533-1248","affiliations":[{"raw_affiliation_string":"School of Big Data and Artificial Intelligence, Xinyang College, Xinyang, Henan, China","institution_ids":["https://openalex.org/I38756568"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5114585404"],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":1.9729,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.85930128,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"16","issue":"4","first_page":"1476","last_page":"1493"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9994999766349792,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9994999766349792,"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/T10320","display_name":"Neural Networks and Applications","score":0.9973000288009644,"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":0.9970999956130981,"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":0.8224403858184814},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.6806612014770508},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4535466432571411},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4251954257488251},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.20418411493301392}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8224403858184814},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.6806612014770508},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4535466432571411},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4251954257488251},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.20418411493301392},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tcds.2024.3370261","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcds.2024.3370261","pdf_url":null,"source":{"id":"https://openalex.org/S2488537894","display_name":"IEEE Transactions on Cognitive and Developmental Systems","issn_l":"2379-8920","issn":["2379-8920","2379-8939"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Cognitive and Developmental Systems","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2406.02602","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2406.02602","pdf_url":"https://arxiv.org/pdf/2406.02602","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2406.02602","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2406.02602","pdf_url":"https://arxiv.org/pdf/2406.02602","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"score":0.7400000095367432,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4392157464.pdf"},"referenced_works_count":69,"referenced_works":["https://openalex.org/W179875071","https://openalex.org/W1522301498","https://openalex.org/W1610928686","https://openalex.org/W1768134850","https://openalex.org/W1986398135","https://openalex.org/W2064675550","https://openalex.org/W2119163516","https://openalex.org/W2518115626","https://openalex.org/W2526511911","https://openalex.org/W2559463885","https://openalex.org/W2741907166","https://openalex.org/W2751159520","https://openalex.org/W2752782242","https://openalex.org/W2900269840","https://openalex.org/W2905110202","https://openalex.org/W2926609641","https://openalex.org/W2963727766","https://openalex.org/W2993209339","https://openalex.org/W3006715241","https://openalex.org/W3015468748","https://openalex.org/W3028543194","https://openalex.org/W3034528964","https://openalex.org/W3034552520","https://openalex.org/W3034999214","https://openalex.org/W3102455230","https://openalex.org/W3108203525","https://openalex.org/W3145713205","https://openalex.org/W3162735870","https://openalex.org/W3164305153","https://openalex.org/W3177318507","https://openalex.org/W3199008037","https://openalex.org/W3203257303","https://openalex.org/W4200630739","https://openalex.org/W4220693285","https://openalex.org/W4226323318","https://openalex.org/W4246193833","https://openalex.org/W4281914703","https://openalex.org/W4283655414","https://openalex.org/W4285163271","https://openalex.org/W4290944046","https://openalex.org/W4296217498","https://openalex.org/W4304087145","https://openalex.org/W4308430536","https://openalex.org/W4312338965","https://openalex.org/W4361855028","https://openalex.org/W4367016784","https://openalex.org/W4372260286","https://openalex.org/W4379055511","https://openalex.org/W4382239425","https://openalex.org/W4383815027","https://openalex.org/W4384916143","https://openalex.org/W4385245566","https://openalex.org/W4385338410","https://openalex.org/W4385856925","https://openalex.org/W4386091044","https://openalex.org/W4386100600","https://openalex.org/W4388838077","https://openalex.org/W6631190155","https://openalex.org/W6640212811","https://openalex.org/W6726497184","https://openalex.org/W6757817989","https://openalex.org/W6776048684","https://openalex.org/W6787995345","https://openalex.org/W6795171876","https://openalex.org/W6810022597","https://openalex.org/W6811456798","https://openalex.org/W6838252289","https://openalex.org/W6845625448","https://openalex.org/W6846041338"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Cognitive":[0,40],"Language":[1,10],"Processing":[2,11],"(CLP),":[3],"situated":[4],"at":[5],"the":[6,22,33,210],"intersection":[7],"of":[8,24,36,161],"Natural":[9],"(NLP)":[12],"and":[13,29,60,120,179,196,224],"cognitive":[14,27,87],"science,":[15],"plays":[16],"a":[17,71,136,150,202],"progressively":[18],"pivotal":[19],"role":[20],"in":[21,38,62,144],"domains":[23],"artificial":[25],"intelligence,":[26,28],"brain":[30,116],"science.":[31],"Among":[32],"essential":[34],"areas":[35],"investigation":[37],"CLP,":[39],"Signal":[41],"Decoding":[42],"(CSD)":[43],"has":[44],"made":[45],"remarkable":[46],"achievements,":[47],"yet":[48],"there":[49],"still":[50],"exist":[51],"challenges":[52],"related":[53],"to":[54,77,141,215,222,230],"insufficient":[55],"global":[56],"dynamic":[57,115],"representation":[58],"capability":[59],"deficiencies":[61],"multi-domain":[63],"feature":[64,105,112,122],"integration.":[65],"In":[66],"this":[67,145],"paper,":[68],"we":[69,83,147,156],"introduce":[70],"novel":[72,86,137],"paradigm":[73],"for":[74],"CLP":[75,152],"referred":[76],"as":[78,168,170],"Disentangled":[79],"Frequency-Spatial-Temporal":[80],"Attention(D-FaST).":[81],"Specifically,":[82],"present":[84],"an":[85,158],"signal":[88],"decoder":[89,98],"that":[90,186],"operates":[91],"on":[92,125,166,171,192,207,213,219,227],"disentangled":[93,138],"frequency-space-time":[94],"domain":[95,104,111],"attention.":[96,130],"This":[97],"encompasses":[99],"three":[100],"key":[101],"components:":[102],"frequency":[103],"extraction":[106,113,123],"employing":[107],"multi-view":[108],"attention,":[109,119],"spatial":[110],"utilizing":[114],"connection":[117],"graph":[118],"temporal":[121],"relying":[124],"local":[126],"time":[127],"sliding":[128],"window":[129],"These":[131],"components":[132],"are":[133],"integrated":[134],"within":[135],"framework.":[139],"Additionally,":[140],"encourage":[142],"advancements":[143],"field,":[146],"have":[148],"created":[149],"new":[151],"dataset,":[153],"MNRED.":[154],"Subsequently,":[155],"conducted":[157],"extensive":[159],"series":[160],"experiments,":[162],"evaluating":[163],"D-FaST\u2019s":[164],"performance":[165],"MNRED,":[167,208],"well":[169],"publicly":[172],"available":[173],"datasets":[174,195,199],"including":[175,200],"ZuCo,":[176],"BCIC":[177,180,220,228],"IV-2A,":[178],"IV-2B.":[181],"Our":[182],"experimental":[183],"results":[184],"demonstrate":[185],"D-FaST":[187],"outperforms":[188],"existing":[189],"methods":[190],"significantly":[191],"both":[193],"our":[194],"traditional":[197],"CSD":[198],"establishing":[201],"state-of-the-art":[203],"accuracy":[204,211,217,225],"score":[205,212,218,226],"78.72%":[206],"pushing":[209],"ZuCo":[214],"78.35%,":[216],"IV-2A":[221],"74.85%":[223],"IV-2B":[229],"76.81%.":[231]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2024-02-27T00:00:00"}