{"id":"https://openalex.org/W2904523347","doi":"https://doi.org/10.1109/tnnls.2018.2882456","title":"Reconstructing Perceived Images From Human Brain Activities With Bayesian Deep Multiview Learning","display_name":"Reconstructing Perceived Images From Human Brain Activities With Bayesian Deep Multiview Learning","publication_year":2018,"publication_date":"2018-12-12","ids":{"openalex":"https://openalex.org/W2904523347","doi":"https://doi.org/10.1109/tnnls.2018.2882456","mag":"2904523347","pmid":"https://pubmed.ncbi.nlm.nih.gov/30561354"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2018.2882456","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2018.2882456","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5051978172","display_name":"Changde Du","orcid":"https://orcid.org/0000-0002-0084-433X"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I4210128818","display_name":"Institute of Software","ror":"https://ror.org/033dfsn42","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Changde Du","raw_affiliation_strings":["Laboratory of Parallel Software and Computational Science, Institute of Software, Chinese Academy of Sciences, Beijing, China","School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Laboratory of Parallel Software and Computational Science, Institute of Software, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210128818","https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052892758","display_name":"Changying Du","orcid":"https://orcid.org/0000-0002-4489-0020"},"institutions":[{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I4210128818","display_name":"Institute of Software","ror":"https://ror.org/033dfsn42","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changying Du","raw_affiliation_strings":["Laboratory of Parallel Software and Computational Science, Institute of Software, Chinese Academy of Sciences, Beijing, China","School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Laboratory of Parallel Software and Computational Science, Institute of Software, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210128818","https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029894649","display_name":"Lijie Huang","orcid":"https://orcid.org/0000-0003-2515-0315"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lijie Huang","raw_affiliation_strings":["School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100669549","display_name":"Huiguang He","orcid":"https://orcid.org/0000-0002-0684-1711"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210097554","display_name":"Center for Excellence in Brain Science and Intelligence Technology","ror":"https://ror.org/00vpwhm04","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210097554"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huiguang He","raw_affiliation_strings":["Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210097554","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5051978172"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210100255","https://openalex.org/I4210128818","https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":4.7805,"has_fulltext":false,"cited_by_count":97,"citation_normalized_percentile":{"value":0.96451295,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"30","issue":"8","first_page":"2310","last_page":"2323"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9954000115394592,"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"}},"topics":[{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9954000115394592,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9936000108718872,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9919999837875366,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7700623273849487},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7451823949813843},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.5910556316375732},{"id":"https://openalex.org/keywords/functional-magnetic-resonance-imaging","display_name":"Functional magnetic resonance imaging","score":0.5339537858963013},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5188904404640198},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.5149291753768921},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5070364475250244},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4919869601726532},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.4792218804359436},{"id":"https://openalex.org/keywords/visual-perception","display_name":"Visual perception","score":0.43776363134384155},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.4376148581504822},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43002885580062866},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3749502897262573},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.33370548486709595},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.2419470250606537},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.13733798265457153},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.0960736870765686},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.0951283872127533}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7700623273849487},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7451823949813843},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.5910556316375732},{"id":"https://openalex.org/C2779226451","wikidata":"https://www.wikidata.org/wiki/Q903809","display_name":"Functional magnetic resonance imaging","level":2,"score":0.5339537858963013},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5188904404640198},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.5149291753768921},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5070364475250244},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4919869601726532},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.4792218804359436},{"id":"https://openalex.org/C178253425","wikidata":"https://www.wikidata.org/wiki/Q162668","display_name":"Visual perception","level":3,"score":0.43776363134384155},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.4376148581504822},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43002885580062866},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3749502897262573},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.33370548486709595},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.2419470250606537},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.13733798265457153},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0960736870765686},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0951283872127533}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2018.2882456","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2018.2882456","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:30561354","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30561354","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.44999998807907104,"display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G1921652033","display_name":null,"funder_award_id":"61602449","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5020010994","display_name":null,"funder_award_id":"Z181100008918010","funder_id":"https://openalex.org/F4320325902","funder_display_name":"Beijing Municipal Science and Technology Commission"},{"id":"https://openalex.org/G6271339800","display_name":null,"funder_award_id":"91520202","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"},{"id":"https://openalex.org/F4320322847","display_name":"Youth Innovation Promotion Association of the Chinese Academy of Sciences","ror":"https://ror.org/031141b54"},{"id":"https://openalex.org/F4320325902","display_name":"Beijing Municipal Science and Technology Commission","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":76,"referenced_works":["https://openalex.org/W592244745","https://openalex.org/W771469340","https://openalex.org/W1522301498","https://openalex.org/W1715013381","https://openalex.org/W1883346539","https://openalex.org/W1909320841","https://openalex.org/W1959608418","https://openalex.org/W1979733564","https://openalex.org/W1987986413","https://openalex.org/W1995341919","https://openalex.org/W1997963703","https://openalex.org/W2007226897","https://openalex.org/W2010396996","https://openalex.org/W2011589116","https://openalex.org/W2041853331","https://openalex.org/W2063951486","https://openalex.org/W2072181746","https://openalex.org/W2073829263","https://openalex.org/W2076063813","https://openalex.org/W2089632738","https://openalex.org/W2097267381","https://openalex.org/W2099471712","https://openalex.org/W2101229103","https://openalex.org/W2108501770","https://openalex.org/W2111143847","https://openalex.org/W2112180451","https://openalex.org/W2121823518","https://openalex.org/W2123081556","https://openalex.org/W2123923307","https://openalex.org/W2126810579","https://openalex.org/W2133665775","https://openalex.org/W2141200610","https://openalex.org/W2144714250","https://openalex.org/W2160815625","https://openalex.org/W2162950292","https://openalex.org/W2163922914","https://openalex.org/W2167237727","https://openalex.org/W2187164537","https://openalex.org/W2204523372","https://openalex.org/W2294365934","https://openalex.org/W2412480261","https://openalex.org/W2416808190","https://openalex.org/W2439880944","https://openalex.org/W2464317109","https://openalex.org/W2507706845","https://openalex.org/W2528108497","https://openalex.org/W2537084945","https://openalex.org/W2739748921","https://openalex.org/W2765229157","https://openalex.org/W2768938399","https://openalex.org/W2836347898","https://openalex.org/W2919115771","https://openalex.org/W2949416428","https://openalex.org/W2962897886","https://openalex.org/W2962947361","https://openalex.org/W2962958773","https://openalex.org/W2963135265","https://openalex.org/W2963226019","https://openalex.org/W2963341661","https://openalex.org/W2963383245","https://openalex.org/W2963641944","https://openalex.org/W2963963943","https://openalex.org/W2964121744","https://openalex.org/W4285719527","https://openalex.org/W4295177495","https://openalex.org/W4320013936","https://openalex.org/W6617744952","https://openalex.org/W6639103823","https://openalex.org/W6639732818","https://openalex.org/W6675944832","https://openalex.org/W6683408601","https://openalex.org/W6718140377","https://openalex.org/W6734074887","https://openalex.org/W6741832134","https://openalex.org/W6745622582","https://openalex.org/W6764141792"],"related_works":["https://openalex.org/W4362597605","https://openalex.org/W1574414179","https://openalex.org/W4297676672","https://openalex.org/W3015304056","https://openalex.org/W3042518613","https://openalex.org/W2164129707","https://openalex.org/W4292122269","https://openalex.org/W2949366006","https://openalex.org/W1925992392","https://openalex.org/W1606995399"],"abstract_inverted_index":{"Neural":[0],"decoding,":[1],"which":[2,135,158],"aims":[3],"to":[4,179,207],"predict":[5],"external":[6],"visual":[7,21,45,77,104,132,141,190,229],"stimuli":[8,46,105],"information":[9],"from":[10,54,80],"evoked":[11,108],"brain":[12,40,58,83],"activities,":[13],"plays":[14],"an":[15,173],"important":[16],"role":[17],"in":[18,203],"understanding":[19],"human":[20,57,82,140],"system.":[22],"Many":[23],"existing":[24],"methods":[25],"are":[26],"based":[27],"on":[28,37,218],"linear":[29,152],"models,":[30],"and":[31,106,167,214],"most":[32],"of":[33,50,139,236],"them":[34],"only":[35],"focus":[36],"either":[38],"the":[39,51,55,75,81,95,99,103,107,121,137,144,181,204,209,224,234,237],"activity":[41,156],"pattern":[42],"classification":[43],"or":[44],"identification.":[47],"Accurate":[48],"reconstruction":[49,79],"perceived":[52],"images":[53,191,230],"measured":[56,85],"activities":[59,84],"still":[60],"remains":[61],"challenging.":[62],"In":[63,195],"this":[64],"paper,":[65],"we":[66,93,124,147,171,197],"propose":[67],"a":[68,116,126,149,199],"novel":[69],"deep":[70,127],"generative":[71],"multiview":[72],"model":[73,94,153,210],"for":[74,131,154],"accurate":[76],"image":[78,133],"by":[86,110],"functional":[87],"magnetic":[88],"resonance":[89],"imaging":[90],"(fMRI).":[91],"Specifically,":[92],"statistical":[96],"relationships":[97],"between":[98],"two":[100,112],"views":[101],"(i.e.,":[102],"fMRI)":[109],"using":[111],"view-specific":[113],"generators":[114],"with":[115],"shared":[117],"latent":[118],"space.":[119],"On":[120,143],"one":[122],"hand,":[123,146],"adopt":[125],"neural":[128],"network":[129],"architecture":[130],"generation,":[134,157],"mimics":[136],"stages":[138],"processing.":[142],"other":[145],"design":[148],"sparse":[150],"Bayesian":[151,193,205],"fMRI":[155,220],"can":[159,187,227],"effectively":[160],"capture":[161],"voxel":[162],"correlations,":[163],"suppress":[164],"data":[165,221],"noise,":[166],"avoid":[168],"overfitting.":[169],"Furthermore,":[170],"devise":[172],"efficient":[174],"mean-field":[175],"variational":[176],"inference":[177,206],"method":[178,186,226],"train":[180],"proposed":[182,185,225],"model.":[183],"The":[184,212],"accurately":[188,232],"reconstruct":[189,228],"via":[192],"inference.":[194],"particular,":[196],"exploit":[198],"posterior":[200],"regularization":[201],"technique":[202],"regularize":[208],"posterior.":[211],"quantitative":[213],"qualitative":[215],"evaluations":[216],"conducted":[217],"multiple":[219],"sets":[222],"demonstrate":[223],"more":[231],"than":[233],"state":[235],"art.":[238]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":17},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":23},{"year":2019,"cited_by_count":11},{"year":2018,"cited_by_count":1}],"updated_date":"2026-03-14T08:43:22.919905","created_date":"2025-10-10T00:00:00"}
