{"id":"https://openalex.org/W3153463206","doi":"https://doi.org/10.1109/lifetech52111.2021.9391890","title":"Question Answering from Brain Activity Data via Decoder Based on Neural Networks","display_name":"Question Answering from Brain Activity Data via Decoder Based on Neural Networks","publication_year":2021,"publication_date":"2021-03-09","ids":{"openalex":"https://openalex.org/W3153463206","doi":"https://doi.org/10.1109/lifetech52111.2021.9391890","mag":"3153463206"},"language":"en","primary_location":{"id":"doi:10.1109/lifetech52111.2021.9391890","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lifetech52111.2021.9391890","pdf_url":null,"source":{"id":"https://openalex.org/S4306498803","display_name":"2021 IEEE 3rd Global Conference on Life Sciences and Technologies (LifeTech)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 3rd Global Conference on Life Sciences and Technologies (LifeTech)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5061280755","display_name":"Saya Takada","orcid":null},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Saya Takada","raw_affiliation_strings":["Graduate School of Information Science and Technology, Hokkaido University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Technology, Hokkaido University","institution_ids":["https://openalex.org/I205349734"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002757875","display_name":"Ren Togo","orcid":"https://orcid.org/0000-0002-4474-3995"},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ren Togo","raw_affiliation_strings":["Education and Research Center for Mathematical and Data Science, Hokkaido University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Education and Research Center for Mathematical and Data Science, Hokkaido University","institution_ids":["https://openalex.org/I205349734"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009032240","display_name":"Takahiro Ogawa","orcid":"https://orcid.org/0000-0001-5332-8112"},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takahiro Ogawa","raw_affiliation_strings":["Faculty of Information Science and Technology, Hokkaido University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information Science and Technology, Hokkaido University","institution_ids":["https://openalex.org/I205349734"]}]},{"author_position":"last","author":{"id":null,"display_name":"Miki Haseyama","orcid":null},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Miki Haseyama","raw_affiliation_strings":["Faculty of Information Science and Technology, Hokkaido University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information Science and Technology, Hokkaido University","institution_ids":["https://openalex.org/I205349734"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I205349734"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"51","last_page":"52"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9986000061035156,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9986000061035156,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9933000206947327,"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9930999875068665,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/functional-magnetic-resonance-imaging","display_name":"Functional magnetic resonance imaging","score":0.7754553556442261},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7652063369750977},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.588948667049408},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.588742733001709},{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.48677778244018555},{"id":"https://openalex.org/keywords/brain-activity-and-meditation","display_name":"Brain activity and meditation","score":0.4661812484264374},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.460495263338089},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.44938531517982483},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.43304863572120667},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3536548912525177},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1774841547012329},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.12318366765975952},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.12243238091468811}],"concepts":[{"id":"https://openalex.org/C2779226451","wikidata":"https://www.wikidata.org/wiki/Q903809","display_name":"Functional magnetic resonance imaging","level":2,"score":0.7754553556442261},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7652063369750977},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.588948667049408},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.588742733001709},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.48677778244018555},{"id":"https://openalex.org/C120843803","wikidata":"https://www.wikidata.org/wiki/Q4955807","display_name":"Brain activity and meditation","level":3,"score":0.4661812484264374},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.460495263338089},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.44938531517982483},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.43304863572120667},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3536548912525177},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1774841547012329},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.12318366765975952},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.12243238091468811},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lifetech52111.2021.9391890","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lifetech52111.2021.9391890","pdf_url":null,"source":{"id":"https://openalex.org/S4306498803","display_name":"2021 IEEE 3rd Global Conference on Life Sciences and Technologies (LifeTech)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 3rd Global Conference on Life Sciences and Technologies (LifeTech)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5945890388","display_name":null,"funder_award_id":"181601001","funder_id":"https://openalex.org/F4320323843","funder_display_name":"Ministry of Information and Communication"}],"funders":[{"id":"https://openalex.org/F4320323843","display_name":"Ministry of Information and Communication","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1861492603","https://openalex.org/W1933349210","https://openalex.org/W2129158941","https://openalex.org/W2146246269","https://openalex.org/W2250539671","https://openalex.org/W2890927354","https://openalex.org/W2962835968","https://openalex.org/W2963019816","https://openalex.org/W2963341661","https://openalex.org/W2982461533","https://openalex.org/W3106277288","https://openalex.org/W6637373629","https://openalex.org/W6639102338"],"related_works":["https://openalex.org/W128114763","https://openalex.org/W2042800611","https://openalex.org/W2051472919","https://openalex.org/W4386213410","https://openalex.org/W2072179998","https://openalex.org/W2371524820","https://openalex.org/W2534241281","https://openalex.org/W1987060659","https://openalex.org/W37707946","https://openalex.org/W2026266244"],"abstract_inverted_index":{"We":[0,37],"build":[1],"a":[2,18,32,73,135,156,177],"model":[3,26,70],"that":[4,133,170],"can":[5,27],"estimate":[6],"what":[7,94,155],"subjects":[8],"recognize":[9],"from":[10,61,76,106,161,182],"functional":[11],"magnetic":[12],"resonance":[13],"imaging":[14],"(fMRI)":[15],"data":[16],"via":[17,44],"visual":[19,74],"question":[20,33,75,178],"answering":[21],"(VQA)":[22],"model.":[23],"The":[24],"VQA":[25,69],"generate":[28],"an":[29,35,45,126],"answer":[30,72,153,176],"to":[31,71,154,175],"about":[34,179],"image.":[36,64,88],"convert":[38],"fMRI":[39,46,54,78,122,127,146,162,183],"signals":[40,55,79],"into":[41],"image":[42,58],"features":[43,59],"decoder":[47,128],"based":[48,129],"on":[49,130,166],"the":[50,53,57,62,68,77,82,87,107,116,148,152],"relationship":[51],"between":[52],"and":[56],"extracted":[60],"gazed":[63,180],"Then":[65],"this":[66],"allows":[67,173],"measured":[80],"while":[81],"subject":[83],"is":[84,158],"gazing":[85],"at":[86,160],"Though":[89],"brain":[90,111],"decoding,":[91],"which":[92],"interprets":[93],"humans":[95],"recognize,":[96],"has":[97],"become":[98],"overwhelmingly":[99],"popular":[100],"in":[101],"neuroscience,":[102],"they":[103],"often":[104],"suffer":[105],"small":[108,117],"datasets":[109,120,168],"of":[110,119,121],"activity":[112],"data.":[113],"To":[114],"overcome":[115],"size":[118],"signals,":[123,147],"we":[124,141],"introduce":[125],"neural":[131],"networks":[132],"have":[134,144],"high":[136],"expressive":[137],"ability.":[138],"Even":[139],"when":[140],"do":[142],"not":[143],"enough":[145],"proposed":[149],"method":[150,172],"derives":[151],"person":[157],"looking":[159],"signals.":[163,184],"Experimental":[164],"results":[165],"several":[167],"show":[169],"our":[171],"us":[174],"images":[181]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}