{"id":"https://openalex.org/W4285107510","doi":"https://doi.org/10.1109/tcds.2022.3176977","title":"Neural Encoding and Decoding With a Flow-Based Invertible Generative Model","display_name":"Neural Encoding and Decoding With a Flow-Based Invertible Generative Model","publication_year":2022,"publication_date":"2022-05-23","ids":{"openalex":"https://openalex.org/W4285107510","doi":"https://doi.org/10.1109/tcds.2022.3176977"},"language":"en","primary_location":{"id":"doi:10.1109/tcds.2022.3176977","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcds.2022.3176977","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":["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/A5044391414","display_name":"Qiongyi Zhou","orcid":"https://orcid.org/0000-0001-9498-9523"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","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/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"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":true,"raw_author_name":"Qiongyi Zhou","raw_affiliation_strings":["Research Center for Brain-Inspired Intelligence, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China","School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Research Center for Brain-Inspired Intelligence, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","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/A5051978172","display_name":"Changde Du","orcid":"https://orcid.org/0000-0002-0084-433X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","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/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"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":"Changde Du","raw_affiliation_strings":["Research Center for Brain-Inspired Intelligence, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China","School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Research Center for Brain-Inspired Intelligence, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","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/A5100380769","display_name":"Dan Li","orcid":"https://orcid.org/0000-0002-8777-4580"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","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/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"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":"Dan Li","raw_affiliation_strings":["Research Center for Brain-Inspired Intelligence, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China","School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Research Center for Brain-Inspired Intelligence, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","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/A5077914684","display_name":"Haibao Wang","orcid":"https://orcid.org/0000-0002-3174-1907"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","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/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"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":"Haibao Wang","raw_affiliation_strings":["Research Center for Brain-Inspired Intelligence, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China","School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Research Center for Brain-Inspired Intelligence, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","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/A5001710920","display_name":"Jian K. Liu","orcid":"https://orcid.org/0000-0002-5391-7213"},"institutions":[{"id":"https://openalex.org/I130828816","display_name":"University of Leeds","ror":"https://ror.org/024mrxd33","country_code":"GB","type":"education","lineage":["https://openalex.org/I130828816"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jian K. Liu","raw_affiliation_strings":["School of Computing, University of Leeds, Leeds, U.K"],"affiliations":[{"raw_affiliation_string":"School of Computing, University of Leeds, Leeds, U.K","institution_ids":["https://openalex.org/I130828816"]}]},{"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":"government","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"]},{"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/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"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":"Huiguang He","raw_affiliation_strings":["Research Center for Brain-Inspired Intelligence, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China","School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China","Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Research Center for Brain-Inspired Intelligence, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","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"]},{"raw_affiliation_string":"Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China","institution_ids":["https://openalex.org/I4210097554","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5044391414"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210100255","https://openalex.org/I4210112150","https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":1.1229,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.78633806,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"15","issue":"2","first_page":"724","last_page":"736"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9980999827384949,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9980999827384949,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9914000034332275,"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.9814000129699707,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/neural-decoding","display_name":"Neural decoding","score":0.8326131105422974},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.8218203186988831},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.7943214178085327},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7591978311538696},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.7020906209945679},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6024177074432373},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5007436275482178},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48910146951675415},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.4801896810531616},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.47125744819641113},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.43828433752059937},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.4294377863407135},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.273725688457489},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.25570252537727356}],"concepts":[{"id":"https://openalex.org/C40743351","wikidata":"https://www.wikidata.org/wiki/Q7002049","display_name":"Neural decoding","level":3,"score":0.8326131105422974},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.8218203186988831},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.7943214178085327},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7591978311538696},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.7020906209945679},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6024177074432373},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5007436275482178},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48910146951675415},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.4801896810531616},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.47125744819641113},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.43828433752059937},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.4294377863407135},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.273725688457489},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.25570252537727356},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tcds.2022.3176977","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcds.2022.3176977","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:eprints.whiterose.ac.uk:187379","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306400854","display_name":"White Rose Research Online (University of Leeds, The University of Sheffield, University of York)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2800616092","host_organization_name":"White Rose University Consortium","host_organization_lineage":["https://openalex.org/I2800616092"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Article"},{"id":"pmh:oai:pure.atira.dk:publications/3da2a6fe-7ef0-4d2a-8831-4003e26e994d","is_oa":false,"landing_page_url":"https://research.birmingham.ac.uk/en/publications/3da2a6fe-7ef0-4d2a-8831-4003e26e994d","pdf_url":null,"source":{"id":"https://openalex.org/S4306402634","display_name":"University of Birmingham Research Portal (University of Birmingham)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79619799","host_organization_name":"University of Birmingham","host_organization_lineage":["https://openalex.org/I79619799"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Zhou , Q , Du , C , Li , D , Wang , H , Liu , J K & He , H 2023 , ' Neural Encoding and Decoding With a Flow-Based Invertible Generative Model ' , IEEE Transactions on Cognitive and Developmental Systems , vol. 15 , no. 2 , pp. 724-736 . https://doi.org/10.1109/TCDS.2022.3176977","raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2751082693","display_name":null,"funder_award_id":"XDB32040000","funder_id":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences"},{"id":"https://openalex.org/G4444518885","display_name":null,"funder_award_id":"61906188","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G613090996","display_name":null,"funder_award_id":"61976209","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7873485906","display_name":null,"funder_award_id":"173211KYSB20190024","funder_id":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321133","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":64,"referenced_works":["https://openalex.org/W1583912456","https://openalex.org/W1883346539","https://openalex.org/W1959608418","https://openalex.org/W2007226897","https://openalex.org/W2025341678","https://openalex.org/W2069519142","https://openalex.org/W2097267381","https://openalex.org/W2111143847","https://openalex.org/W2112180451","https://openalex.org/W2133665775","https://openalex.org/W2160654481","https://openalex.org/W2163605009","https://openalex.org/W2171349814","https://openalex.org/W2187089797","https://openalex.org/W2507706845","https://openalex.org/W2547554208","https://openalex.org/W2556013083","https://openalex.org/W2736874493","https://openalex.org/W2752579226","https://openalex.org/W2782599016","https://openalex.org/W2799250783","https://openalex.org/W2885500803","https://openalex.org/W2904523347","https://openalex.org/W2913340405","https://openalex.org/W2950535698","https://openalex.org/W2950815076","https://openalex.org/W2950953090","https://openalex.org/W2951287344","https://openalex.org/W2953945416","https://openalex.org/W2962785568","https://openalex.org/W2962793481","https://openalex.org/W2963090522","https://openalex.org/W2963164480","https://openalex.org/W2970978528","https://openalex.org/W2987842562","https://openalex.org/W2998689703","https://openalex.org/W3005431840","https://openalex.org/W3012268349","https://openalex.org/W3015494676","https://openalex.org/W3041311832","https://openalex.org/W3090807171","https://openalex.org/W3102777511","https://openalex.org/W3120395234","https://openalex.org/W3192624922","https://openalex.org/W4293869917","https://openalex.org/W4295521014","https://openalex.org/W4297798428","https://openalex.org/W4320013936","https://openalex.org/W6610566761","https://openalex.org/W6635084905","https://openalex.org/W6639103823","https://openalex.org/W6640963894","https://openalex.org/W6684191040","https://openalex.org/W6685439815","https://openalex.org/W6714644935","https://openalex.org/W6729156727","https://openalex.org/W6730357551","https://openalex.org/W6735913928","https://openalex.org/W6743797367","https://openalex.org/W6748497354","https://openalex.org/W6763486065","https://openalex.org/W6765524274","https://openalex.org/W6786335368","https://openalex.org/W6799977497"],"related_works":["https://openalex.org/W2129146436","https://openalex.org/W2032507829","https://openalex.org/W4394785709","https://openalex.org/W4309969736","https://openalex.org/W2770818364","https://openalex.org/W2953501176","https://openalex.org/W2965095304","https://openalex.org/W2470043383","https://openalex.org/W3034474024","https://openalex.org/W4317242571"],"abstract_inverted_index":{"Recent":[0],"studies":[1,50],"on":[2,34,135,184],"visual":[3,150],"neural":[4,19,53,75,127,153,174,186],"encoding":[5,54,76,175],"and":[6,55,77,105,126,131,152,162,172,176,191],"decoding":[7,31,56,78,177],"have":[8],"made":[9],"significant":[10],"progress,":[11],"benefiting":[12],"from":[13],"the":[14,29,52,60,65,90,102,106,136,159,163,201,206],"latest":[15],"advances":[16],"in":[17],"deep":[18,35],"networks":[20],"having":[21],"powerful":[22],"representations.":[23],"However,":[24],"two":[25,66],"challenges":[26],"remain.":[27],"First,":[28,93],"current":[30],"algorithms":[32],"based":[33],"generative":[36,85],"models":[37],"always":[38],"struggle":[39],"with":[40,80,129,155],"information":[41,170],"losses,":[42],"which":[43],"may":[44],"cause":[45],"blurry":[46],"reconstruction.":[47],"Second,":[48,109],"most":[49],"model":[51,87,167,199],"processes":[57],"separately,":[58],"neglecting":[59],"inherent":[61],"dual":[62],"relationship":[63],"between":[64,123],"tasks.":[67],"In":[68],"this":[69],"article,":[70],"we":[71],"propose":[72],"a":[73,81,94,120,156,179],"novel":[74],"method":[79,144],"two-stage":[82],"flow-based":[83,160],"invertible":[84],"(FLIG)":[86],"to":[88,100,117,139],"tackle":[89],"above":[91],"issues.":[92],"convolutional":[95],"autoencoder":[96],"(CAE)":[97],"is":[98,115],"trained":[99,116],"bridge":[101],"stimuli":[103,151],"space":[104,138],"feature":[107],"space.":[108],"an":[110],"adversarial":[111],"cross-modal":[112,141],"normalizing":[113],"flow":[114],"build":[118],"up":[119],"bijective":[121],"transformation":[122],"image":[124],"features":[125],"signals,":[128],"local":[130],"global":[132],"constraints":[133],"imposed":[134],"latent":[137],"render":[140],"alignment.":[142],"The":[143,165],"eventually":[145],"achieves":[146,200],"bidirectional":[147],"generation":[148],"of":[149,158],"responses":[154],"combination":[157],"generator":[161],"autoencoder.":[164],"FLIG":[166],"can":[168],"minimize":[169],"losses":[171],"unify":[173],"into":[178],"single":[180],"framework.":[181],"Experimental":[182],"results":[183],"different":[185],"signals":[187,190],"containing":[188],"spike":[189],"functional":[192],"magnetic":[193],"resonance":[194],"imaging":[195],"demonstrate":[196],"that":[197],"our":[198],"best":[202],"comprehensive":[203],"performance":[204],"among":[205],"comparison":[207],"models.":[208]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":2}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}