{"id":"https://openalex.org/W4398226328","doi":"https://doi.org/10.1109/tase.2023.3347756","title":"\u201cJumpingly\u201d Perceive Time Series: Image Generation Approach to Modeling Functional Brain Activation","display_name":"\u201cJumpingly\u201d Perceive Time Series: Image Generation Approach to Modeling Functional Brain Activation","publication_year":2024,"publication_date":"2024-05-22","ids":{"openalex":"https://openalex.org/W4398226328","doi":"https://doi.org/10.1109/tase.2023.3347756"},"language":"en","primary_location":{"id":"doi:10.1109/tase.2023.3347756","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tase.2023.3347756","pdf_url":null,"source":{"id":"https://openalex.org/S34881539","display_name":"IEEE Transactions on Automation Science and Engineering","issn_l":"1545-5955","issn":["1545-5955","1558-3783"],"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 Automation Science and Engineering","raw_type":"journal-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/A5103200801","display_name":"Yuxuan Yao","orcid":"https://orcid.org/0009-0006-9943-0036"},"institutions":[{"id":"https://openalex.org/I4210132948","display_name":"Shanghai Chengtou (China)","ror":"https://ror.org/041rv6v55","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210132948"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuxuan Yao","raw_affiliation_strings":["Hanhai Information Technology (Shanghai) Company Ltd., Shanghai, China","Hanhai Information Technology (Shanghai) Company Ltd, Shanghai, China"],"raw_orcid":"https://orcid.org/0009-0006-9943-0036","affiliations":[{"raw_affiliation_string":"Hanhai Information Technology (Shanghai) Company Ltd., Shanghai, China","institution_ids":["https://openalex.org/I4210132948"]},{"raw_affiliation_string":"Hanhai Information Technology (Shanghai) Company Ltd, Shanghai, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101430798","display_name":"Xinying Wu","orcid":"https://orcid.org/0000-0003-3808-5559"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinying Wu","raw_affiliation_strings":["Department of Automation, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automation, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070954480","display_name":"Wei Tong","orcid":"https://orcid.org/0000-0002-8558-1822"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kevin W. Tong","raw_affiliation_strings":["College of Automation, College of Artificial Intelligence, Nanjing University of Posts and Telecommunications, Nanjing, China","College of Artificial Intelligence, College of Automation, Nanjing University of Posts and Telecommunications, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-8558-1822","affiliations":[{"raw_affiliation_string":"College of Automation, College of Artificial Intelligence, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]},{"raw_affiliation_string":"College of Artificial Intelligence, College of Automation, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100357898","display_name":"Miaomiao Zhang","orcid":"https://orcid.org/0000-0001-9921-6511"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Miaomiao Zhang","raw_affiliation_strings":["Department of Automation, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-9921-6511","affiliations":[{"raw_affiliation_string":"Department of Automation, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106407656","display_name":"Zhiyi Shi","orcid":"https://orcid.org/0009-0006-6866-784X"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiyi Shi","raw_affiliation_strings":["Department of Automation, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automation, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100460574","display_name":"Jin Ma","orcid":"https://orcid.org/0009-0006-7440-6240"},"institutions":[{"id":"https://openalex.org/I4210104252","display_name":"Air Force Engineering University","ror":"https://ror.org/00seraz22","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210104252"]},{"id":"https://openalex.org/I9916479","display_name":"Air Force Medical University","ror":"https://ror.org/00ms48f15","country_code":"CN","type":"education","lineage":["https://openalex.org/I9916479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin Ma","raw_affiliation_strings":["Department of Aerospace Medicine, Air Force Medical University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0009-0006-7440-6240","affiliations":[{"raw_affiliation_string":"Department of Aerospace Medicine, Air Force Medical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I4210104252","https://openalex.org/I9916479"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056249025","display_name":"Yuhong Hou","orcid":null},"institutions":[{"id":"https://openalex.org/I4210095084","display_name":"Zhongji Test Equipment (China)","ror":"https://ror.org/00p24re17","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210095084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu-Hong Hou","raw_affiliation_strings":["Technology and Engineering Center of the Chinese Flight Test Establishment, Xi&#x2019;an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technology and Engineering Center of the Chinese Flight Test Establishment, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I4210095084"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3026,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.54098902,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"22","issue":null,"first_page":"4661","last_page":"4669"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9584000110626221,"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"}},"topics":[{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9584000110626221,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.914900004863739,"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/series","display_name":"Series (stratigraphy)","score":0.5928882956504822},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.553507387638092},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5327185392379761},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5084380507469177},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42078346014022827},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.41884154081344604},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.18493464589118958},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.12236630916595459}],"concepts":[{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5928882956504822},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.553507387638092},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5327185392379761},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5084380507469177},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42078346014022827},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41884154081344604},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.18493464589118958},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.12236630916595459},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tase.2023.3347756","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tase.2023.3347756","pdf_url":null,"source":{"id":"https://openalex.org/S34881539","display_name":"IEEE Transactions on Automation Science and Engineering","issn_l":"1545-5955","issn":["1545-5955","1558-3783"],"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 Automation Science and Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1531228895","display_name":"\u6025\u6027\u5e94\u6fc0\u5f71\u54cd\u98de\u884c\u4eba\u673a\u4ea4\u4e92\u7684\u8ba4\u77e5\u673a\u7406\u53ca\u5e94\u6fc0\u54cd\u5e94\u5dee\u5f02\u8868\u5f81\u6280\u672f\u7814\u7a76","funder_award_id":"72101262","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1990101864","https://openalex.org/W2000363330","https://openalex.org/W2000982976","https://openalex.org/W2077991879","https://openalex.org/W2115223657","https://openalex.org/W2122057898","https://openalex.org/W2131914306","https://openalex.org/W2157331557","https://openalex.org/W2166328099","https://openalex.org/W2807021761","https://openalex.org/W2892157245","https://openalex.org/W2963963943","https://openalex.org/W2987144017","https://openalex.org/W3015569364","https://openalex.org/W3032979685","https://openalex.org/W3091169682","https://openalex.org/W3104015352","https://openalex.org/W3112003035","https://openalex.org/W3123892995","https://openalex.org/W3144025756","https://openalex.org/W3157838865","https://openalex.org/W3158982735","https://openalex.org/W4212835176","https://openalex.org/W4246193833","https://openalex.org/W4377001522","https://openalex.org/W4385169071","https://openalex.org/W6628877408","https://openalex.org/W6635446068","https://openalex.org/W6637373629","https://openalex.org/W6684191040","https://openalex.org/W6802821011"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"This":[0,112],"paper":[1],"presents":[2],"a":[3,61,115],"novel":[4],"Linear":[5],"Mapping":[6],"Field":[7],"(LMF)":[8],"to":[9,72,79,87,101,109,123,127,150],"map":[10,124],"time":[11,58],"series":[12,59],"into":[13],"two-dimensional":[14,128],"images.":[15],"The":[16,32,45],"LMF":[17],"extracts":[18],"deeper":[19],"features":[20,40,133],"of":[21,66,91,105,134,154],"fNIRS":[22,26,97,125,174],"signals,":[23],"which":[24,53],"makes":[25],"less":[27],"reliant":[28],"on":[29],"some":[30],"prior.":[31],"developed":[33],"convolution":[34],"neural":[35,144],"networks":[36],"detect":[37,151],"more":[38],"prominent":[39],"than":[41],"the":[42,57,70,89,103,131,152],"state-of-the-art":[43],"methods.":[44],"experimental":[46],"results":[47],"indicate":[48],"that":[49],"different":[50,158],"from":[51],"RNNs":[52],"can":[54,98,138,166],"only":[55],"perceive":[56],"in":[60],"\u201csequential\u201d":[62],"manner,":[63],"LMF\u2019s":[64],"characteristic":[65],"\u201cjumpingly\u201d":[67],"perception":[68],"is":[69],"key":[71],"achieving":[73],"excellent":[74],"results.":[75],"<italic":[76],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[77],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">Note":[78],"Practitioners</i>":[80],"\u2014As":[81],"an":[82,147,170],"optical":[83],"and":[84,94,119,130,179],"non-invasive":[85],"technique":[86],"obtain":[88],"changes":[90,104],"oxyhemoglobin":[92],"(O2Hb)":[93],"deoxyhemoglobin":[95],"(HHb),":[96],"be":[99,139,167],"used":[100,168],"measure":[102],"cerebral":[106],"hemodynamics":[107],"related":[108],"brain":[110,155],"activities.":[111],"work":[113,165],"proposes":[114],"linear":[116],"mapping":[117,121,172],"field":[118],"other":[120],"fields":[122],"signals":[126],"images,":[129],"deep":[132],"these":[135],"generated":[136],"images":[137],"further":[140],"extracted":[141],"by":[142],"convolutional":[143],"networks,":[145],"establishing":[146],"end-to-end":[148],"bridge":[149],"activation":[153],"functions":[156],"under":[157],"tasks.":[159],"Compared":[160],"with":[161,175],"mainstream":[162],"methods,":[163],"this":[164],"as":[169],"effective":[171],"for":[173],"low":[176],"computational":[177],"complexity":[178],"good":[180],"performance.":[181]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}