{"id":"https://openalex.org/W7202044490","doi":"https://doi.org/10.1038/s41598-026-65711-1","title":"Expectation and acoustic neural network representations enhance music identification from brain activity","display_name":"Expectation and acoustic neural network representations enhance music identification from brain activity","publication_year":2026,"publication_date":"2026-08-09","ids":{"openalex":"https://openalex.org/W7202044490","doi":"https://doi.org/10.1038/s41598-026-65711-1"},"language":"en","primary_location":{"id":"doi:10.1038/s41598-026-65711-1","doi":"https://doi.org/10.1038/s41598-026-65711-1","is_oa":true,"landing_page_url":"https://doi.org/10.1038/s41598-026-65711-1","pdf_url":"https://www.nature.com/articles/s41598-026-65711-1_reference.pdf","source":{"id":"https://openalex.org/S196734849","display_name":"Scientific Reports","issn_l":"2045-2322","issn":["2045-2322"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","dongbi-c","doyens","jufo-1","ki-jl-1","medline","norway-1","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319908","host_organization_name":"Nature Portfolio","host_organization_lineage":["https://openalex.org/P4310319908","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Nature Portfolio","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scientific Reports","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["arxiv","crossref","datacite","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.nature.com/articles/s41598-026-65711-1_reference.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5143670030","display_name":"Shogo Noguchi","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210122684","display_name":"Sony Computer Science Laboratories","ror":"https://ror.org/02nc46417","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210122684"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Shogo Noguchi","raw_affiliation_strings":["Sony Computer Science Laboratories, Inc., Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sony Computer Science Laboratories, Inc., Tokyo, Japan","institution_ids":["https://openalex.org/I4210122684"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087426444","display_name":"Taketo Akama","orcid":"https://orcid.org/0009-0007-6971-2777","observed_orcids":["https://orcid.org/0009-0007-6971-2777"]},"institutions":[{"id":"https://openalex.org/I4210122684","display_name":"Sony Computer Science Laboratories","ror":"https://ror.org/02nc46417","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210122684"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Taketo Akama","raw_affiliation_strings":["Sony Computer Science Laboratories, Inc., Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sony Computer Science Laboratories, Inc., Tokyo, Japan","institution_ids":["https://openalex.org/I4210122684"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5143655462","display_name":"Tai Nakamura","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210122684","display_name":"Sony Computer Science Laboratories","ror":"https://ror.org/02nc46417","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210122684"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tai Nakamura","raw_affiliation_strings":["Sony Computer Science Laboratories, Inc., Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sony Computer Science Laboratories, Inc., Tokyo, Japan","institution_ids":["https://openalex.org/I4210122684"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115616488","display_name":"Shun Minamikawa","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210122684","display_name":"Sony Computer Science Laboratories","ror":"https://ror.org/02nc46417","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210122684"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shun Minamikawa","raw_affiliation_strings":["Sony Computer Science Laboratories, Inc., Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sony Computer Science Laboratories, Inc., Tokyo, Japan","institution_ids":["https://openalex.org/I4210122684"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003706120","display_name":"Natalia Polouliakh","orcid":"https://orcid.org/0000-0001-8266-2697","observed_orcids":["https://orcid.org/0000-0001-8266-2697"]},"institutions":[{"id":"https://openalex.org/I4210122684","display_name":"Sony Computer Science Laboratories","ror":"https://ror.org/02nc46417","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210122684"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Natalia Polouliakh","raw_affiliation_strings":["Sony Computer Science Laboratories, Inc., Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sony Computer Science Laboratories, Inc., Tokyo, Japan","institution_ids":["https://openalex.org/I4210122684"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5087426444","https://openalex.org/A5143670030"],"corresponding_institution_ids":["https://openalex.org/I4210122684"],"apc_list":{"value":2690,"currency":"USD","value_usd":2690},"apc_paid":{"value":2690,"currency":"USD","value_usd":2690},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.53582903,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10788","display_name":"Neuroscience and Music Perception","score":0.6859999895095825,"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/T10788","display_name":"Neuroscience and Music Perception","score":0.6859999895095825,"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/T11309","display_name":"Music and Audio Processing","score":0.2946999967098236,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.01140000019222498,"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/music-identification","display_name":"music identification","score":0.9330000281333923},{"id":"https://openalex.org/keywords/eeg-decoding","display_name":"EEG decoding","score":0.6359999775886536},{"id":"https://openalex.org/keywords/audio-representation","display_name":"sound representation","score":0.8859999775886536},{"id":"https://openalex.org/keywords/neural-network-representations","display_name":"neural network representations","score":0.6710000038146973},{"id":"https://openalex.org/keywords/representation-learning","display_name":"representation learning","score":0.5759999752044678},{"id":"https://openalex.org/keywords/music-cognition","display_name":"music cognition","score":0.7639999985694885}],"concepts":[{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.7335000038146973},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6851999759674072},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.6352999806404114},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.583899974822998},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.5809999704360962},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5480999946594238},{"id":"https://openalex.org/C120843803","wikidata":"https://www.wikidata.org/wiki/Q4955807","display_name":"Brain activity and meditation","level":3,"score":0.5458999872207642},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5271000266075134},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4749999940395355},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.44690001010894775},{"id":"https://openalex.org/C2778061373","wikidata":"https://www.wikidata.org/wiki/Q1315146","display_name":"Predictive coding","level":3,"score":0.4406999945640564},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4007999897003174},{"id":"https://openalex.org/C2984127161","wikidata":"https://www.wikidata.org/wiki/Q969316","display_name":"Neural activity","level":2,"score":0.3982999920845032},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37070000171661377},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3702999949455261},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.3598000109195709},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.3400999903678894},{"id":"https://openalex.org/C66024118","wikidata":"https://www.wikidata.org/wiki/Q1122506","display_name":"Computational model","level":2,"score":0.3215999901294708},{"id":"https://openalex.org/C2779127903","wikidata":"https://www.wikidata.org/wiki/Q6510194","display_name":"Learning rule","level":3,"score":0.2840999960899353},{"id":"https://openalex.org/C129564537","wikidata":"https://www.wikidata.org/wiki/Q1460873","display_name":"Neural correlates of consciousness","level":3,"score":0.2808000147342682},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.27630001306533813},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.25949999690055847},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.2574000060558319},{"id":"https://openalex.org/C58693492","wikidata":"https://www.wikidata.org/wiki/Q551875","display_name":"Neuroimaging","level":2,"score":0.25540000200271606}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1038/s41598-026-65711-1","doi":"https://doi.org/10.1038/s41598-026-65711-1","is_oa":true,"landing_page_url":"https://doi.org/10.1038/s41598-026-65711-1","pdf_url":"https://www.nature.com/articles/s41598-026-65711-1_reference.pdf","source":{"id":"https://openalex.org/S196734849","display_name":"Scientific Reports","issn_l":"2045-2322","issn":["2045-2322"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","dongbi-c","doyens","jufo-1","ki-jl-1","medline","norway-1","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319908","host_organization_name":"Nature Portfolio","host_organization_lineage":["https://openalex.org/P4310319908","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Nature Portfolio","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scientific Reports","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2603.03190","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2603.03190","pdf_url":"https://arxiv.org/pdf/2603.03190","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2603.03190","doi":"https://doi.org/10.48550/arxiv.2603.03190","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.03190","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.1038/s41598-026-65711-1","doi":"https://doi.org/10.1038/s41598-026-65711-1","is_oa":true,"landing_page_url":"https://doi.org/10.1038/s41598-026-65711-1","pdf_url":"https://www.nature.com/articles/s41598-026-65711-1_reference.pdf","source":{"id":"https://openalex.org/S196734849","display_name":"Scientific Reports","issn_l":"2045-2322","issn":["2045-2322"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","dongbi-c","doyens","jufo-1","ki-jl-1","medline","norway-1","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319908","host_organization_name":"Nature Portfolio","host_organization_lineage":["https://openalex.org/P4310319908","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Nature Portfolio","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scientific Reports","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7202044490.pdf","grobid_xml":"https://content.openalex.org/works/W7202044490.grobid-xml"},"referenced_works_count":52,"referenced_works":["https://openalex.org/W1918890440","https://openalex.org/W1969409946","https://openalex.org/W1995529840","https://openalex.org/W2014602221","https://openalex.org/W2056263517","https://openalex.org/W2064197409","https://openalex.org/W2115716545","https://openalex.org/W2146282882","https://openalex.org/W2148764920","https://openalex.org/W2164898340","https://openalex.org/W2170377566","https://openalex.org/W2222172745","https://openalex.org/W2560321925","https://openalex.org/W2901736695","https://openalex.org/W2907813828","https://openalex.org/W2923069444","https://openalex.org/W2964121744","https://openalex.org/W2992525328","https://openalex.org/W3009028174","https://openalex.org/W3015683375","https://openalex.org/W3021164770","https://openalex.org/W3119473002","https://openalex.org/W3135367836","https://openalex.org/W3170863103","https://openalex.org/W3199495843","https://openalex.org/W4226002507","https://openalex.org/W4281709991","https://openalex.org/W4281765823","https://openalex.org/W4293575120","https://openalex.org/W4300936792","https://openalex.org/W4307323391","https://openalex.org/W4312102827","https://openalex.org/W4312804044","https://openalex.org/W4318351475","https://openalex.org/W4375869094","https://openalex.org/W4379251869","https://openalex.org/W4381786045","https://openalex.org/W4385015434","https://openalex.org/W4389668679","https://openalex.org/W4392158835","https://openalex.org/W4392903801","https://openalex.org/W4392904213","https://openalex.org/W4393474359","https://openalex.org/W4400188660","https://openalex.org/W4403875486","https://openalex.org/W4410864840","https://openalex.org/W4413472064","https://openalex.org/W4414850770","https://openalex.org/W6893852072","https://openalex.org/W7133185223","https://openalex.org/W7133229781","https://openalex.org/W7133238265"],"related_works":["https://openalex.org/W4410864840","https://openalex.org/W3184193023","https://openalex.org/W3129671336","https://openalex.org/W4224927631","https://openalex.org/W4225296714","https://openalex.org/W3087603587","https://openalex.org/W4224965548","https://openalex.org/W7160324140","https://openalex.org/W7006031562","https://openalex.org/W2809443685"],"abstract_inverted_index":{"Abstract":[0],"During":[1],"music":[2,46,100],"listening,":[3],"cortical":[4,20,148],"activity":[5],"encodes":[6],"both":[7],"acoustic":[8,36],"and":[9,22,37,57,83,102],"expectation-related":[10,38],"information.":[11],"Prior":[12],"work":[13,94],"has":[14],"shown":[15],"that":[16,34,63,76,84],"ANN":[17,39],"representations":[18,21,40],"resemble":[19],"can":[23,87],"serve":[24],"as":[25,41],"supervisory":[26],"signals":[27,112],"for":[28,141],"EEG":[29,144],"recognition.":[30],"Here":[31],"we":[32],"show":[33,75],"distinguishing":[35],"teacher":[42,77],"targets":[43],"improves":[44],"EEG-based":[45],"identification.":[47],"Models":[48],"pretrained":[49],"to":[50,134],"predict":[51],"either":[52],"representation":[53,78,85],"outperform":[54],"non-pretrained":[55],"baselines,":[56],"combining":[58],"them":[59],"yields":[60],"complementary":[61],"gains":[62],"exceed":[64],"strong":[65],"seed":[66],"ensembles":[67],"formed":[68],"by":[69,90],"varying":[70],"random":[71],"initializations.":[72],"These":[73],"findings":[74],"type":[79],"shapes":[80],"downstream":[81],"performance":[82],"learning":[86],"be":[88],"guided":[89],"neural":[91,103],"encoding.":[92],"This":[93],"points":[95],"toward":[96],"advances":[97],"in":[98,147],"predictive":[99,117,127],"cognition":[101],"decoding.":[104],"Our":[105],"expectation":[106],"representation,":[107],"computed":[108],"directly":[109],"from":[110],"raw":[111],"without":[113],"manual":[114],"labels,":[115],"reflects":[116],"structure":[118],"beyond":[119],"onset":[120],"or":[121],"pitch,":[122],"enabling":[123],"investigation":[124],"of":[125],"multilayer":[126],"encoding":[128,149],"across":[129],"diverse":[130,136],"stimuli.":[131],"Its":[132],"scalability":[133],"large,":[135],"datasets":[137],"further":[138],"suggests":[139],"potential":[140],"developing":[142],"general-purpose":[143],"models":[145],"grounded":[146],"principles.":[150]},"counts_by_year":[],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2026-08-10T00:00:00"}