{"id":"https://openalex.org/W4283387270","doi":"https://doi.org/10.1145/3512527.3531421","title":"SA-NAS-BFNR: Spatiotemporal Attention Neural Architecture Search for Task-based Brain Functional Network Representation","display_name":"SA-NAS-BFNR: Spatiotemporal Attention Neural Architecture Search for Task-based Brain Functional Network Representation","publication_year":2022,"publication_date":"2022-06-23","ids":{"openalex":"https://openalex.org/W4283387270","doi":"https://doi.org/10.1145/3512527.3531421"},"language":"en","primary_location":{"id":"doi:10.1145/3512527.3531421","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3512527.3531421","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 International Conference on Multimedia Retrieval","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/A5050457278","display_name":"Fenxia Duan","orcid":null},"institutions":[{"id":"https://openalex.org/I4610292","display_name":"Xiangtan University","ror":"https://ror.org/00xsfaz62","country_code":"CN","type":"education","lineage":["https://openalex.org/I4610292"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fenxia Duan","raw_affiliation_strings":["Xiangtan University, xiangtan, China"],"affiliations":[{"raw_affiliation_string":"Xiangtan University, xiangtan, China","institution_ids":["https://openalex.org/I4610292"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081126476","display_name":"Chunhong Cao","orcid":null},"institutions":[{"id":"https://openalex.org/I4610292","display_name":"Xiangtan University","ror":"https://ror.org/00xsfaz62","country_code":"CN","type":"education","lineage":["https://openalex.org/I4610292"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunhong Cao","raw_affiliation_strings":["Xiangtan University, xiangtan, China"],"affiliations":[{"raw_affiliation_string":"Xiangtan University, xiangtan, China","institution_ids":["https://openalex.org/I4610292"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010870600","display_name":"Xieping Gao","orcid":"https://orcid.org/0000-0002-7764-3616"},"institutions":[{"id":"https://openalex.org/I3130607311","display_name":"Changsha Normal University","ror":"https://ror.org/02sqk3z62","country_code":"CN","type":"education","lineage":["https://openalex.org/I3130607311"]},{"id":"https://openalex.org/I173759888","display_name":"Hunan Normal University","ror":"https://ror.org/053w1zy07","country_code":"CN","type":"education","lineage":["https://openalex.org/I173759888"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xieping Gao","raw_affiliation_strings":["Hunan Normal University, changsha, China"],"affiliations":[{"raw_affiliation_string":"Hunan Normal University, changsha, China","institution_ids":["https://openalex.org/I3130607311","https://openalex.org/I173759888"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5050457278"],"corresponding_institution_ids":["https://openalex.org/I4610292"],"apc_list":null,"apc_paid":null,"fwci":0.2318,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.48061333,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"661","last_page":"667"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":1.0,"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":1.0,"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":0.9991000294685364,"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/T10581","display_name":"Neural dynamics and brain function","score":0.9983999729156494,"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":0.781365156173706},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6621513962745667},{"id":"https://openalex.org/keywords/functional-magnetic-resonance-imaging","display_name":"Functional magnetic resonance imaging","score":0.6538982391357422},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.49298641085624695},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.48080769181251526},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.46110042929649353},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4200925827026367},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40497341752052307},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40479394793510437},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.1265469491481781},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.08259022235870361}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.781365156173706},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6621513962745667},{"id":"https://openalex.org/C2779226451","wikidata":"https://www.wikidata.org/wiki/Q903809","display_name":"Functional magnetic resonance imaging","level":2,"score":0.6538982391357422},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.49298641085624695},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.48080769181251526},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.46110042929649353},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4200925827026367},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40497341752052307},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40479394793510437},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.1265469491481781},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.08259022235870361},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3512527.3531421","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3512527.3531421","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 International Conference on Multimedia Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.4399999976158142,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1810943226","https://openalex.org/W1924770834","https://openalex.org/W1985327120","https://openalex.org/W1986589478","https://openalex.org/W1987869189","https://openalex.org/W2033399367","https://openalex.org/W2071608556","https://openalex.org/W2115450036","https://openalex.org/W2115485420","https://openalex.org/W2133564696","https://openalex.org/W2143112732","https://openalex.org/W2157331557","https://openalex.org/W2525586222","https://openalex.org/W2618995589","https://openalex.org/W2767723267","https://openalex.org/W2770332245","https://openalex.org/W2912500072","https://openalex.org/W2933339796","https://openalex.org/W2972830778","https://openalex.org/W2981324610","https://openalex.org/W3028541459","https://openalex.org/W3033333221","https://openalex.org/W3090884046","https://openalex.org/W3092210344","https://openalex.org/W3122732550","https://openalex.org/W6739901393","https://openalex.org/W6752515464","https://openalex.org/W6783153914"],"related_works":["https://openalex.org/W4298287631","https://openalex.org/W2953061907","https://openalex.org/W1847088711","https://openalex.org/W4225394202","https://openalex.org/W3036642985","https://openalex.org/W3032952384","https://openalex.org/W2964335273","https://openalex.org/W2982145560","https://openalex.org/W2969450769","https://openalex.org/W2326447594"],"abstract_inverted_index":{"The":[0],"spatiotemporal":[1,86],"representation":[2,98],"of":[3,158],"task-based":[4,51,94],"brain":[5,30,75,95,132],"functional":[6,13,31,96,133],"networks":[7,97,134],"is":[8,117,156],"a":[9,85,111],"key":[10],"topic":[11],"in":[12,29,44,50,73,148],"magnetic":[14],"resonance":[15],"image":[16],"(fMRI)":[17],"research.":[18],"At":[19],"present,":[20],"deep":[21,40],"learning":[22,41],"has":[23],"been":[24],"more":[25],"powerful":[26],"and":[27,68,103,114,166,170],"flexible":[28],"network":[32],"research":[33],"than":[34],"traditional":[35],"methods.":[36],"However,":[37],"the":[38,46,57,64,120,138,143,153,160,172],"dominant":[39],"models":[42,147],"failed":[43],"capturing":[45],"long-distance":[47],"dependency":[48],"(LDD)":[49],"fMRI":[52],"images":[53],"(tfMRI)":[54],"due":[55],"to":[56],"time":[58,164],"correlation":[59],"among":[60],"different":[61],"task":[62,167],"stimuli,":[63],"nature":[65],"between":[66,163],"temporal":[67],"spatial":[69],"dimensions,":[70],"which":[71],"resulting":[72],"inaccurate":[74],"pattern":[76],"extraction.":[77],"To":[78],"address":[79],"this":[80,82],"issue,":[81],"paper":[83],"proposes":[84],"attention":[87,101],"neural":[88,122],"architecture":[89,123],"search":[90],"(NAS)":[91],"model":[92,126,155],"for":[93],"(SA-NAS-BFNR),":[99],"where":[100],"mechanism":[102],"gate":[104],"recurrent":[105,145],"unit":[106],"(GRU)":[107],"are":[108],"integrated":[109],"into":[110],"novel":[112],"framework":[113],"GRU":[115],"structure":[116,146],"searched":[118],"by":[119,136],"differentiable":[121],"search.":[124],"This":[125],"can":[127],"not":[128],"only":[129],"achieve":[130],"meaningful":[131],"(BFNs)":[135],"addressing":[137],"LDD,":[139],"but":[140],"also":[141],"simplify":[142],"existing":[144],"tfMRI.":[149],"Experiments":[150],"show":[151],"that":[152],"proposed":[154],"capable":[157],"improving":[159],"fitting":[161],"ability":[162],"series":[165],"stimulus":[168],"sequence,":[169],"extracting":[171],"BFNs":[173],"effectively":[174],"as":[175],"well.":[176]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
