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Predicting artificial neural network representations to learn recognition model for music identifica...

Predicting artificial neural network representations to learn recognition model for music identifica...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_76dbed4a714b4ea3a5ddcce26eef78e2

Predicting artificial neural network representations to learn recognition model for music identification from brain recordings

About this item

Full title

Predicting artificial neural network representations to learn recognition model for music identification from brain recordings

Publisher

London: Nature Publishing Group UK

Journal title

Scientific reports, 2025-05, Vol.15 (1), p.18869-15, Article 18869

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Recent studies have demonstrated that the representations of artificial neural networks (ANNs) can exhibit notable similarities to cortical representations when subjected to identical auditory sensory inputs. In these studies, the ability to predict cortical representations is probed by regressing from ANN representations to cortical representation...

Alternative Titles

Full title

Predicting artificial neural network representations to learn recognition model for music identification from brain recordings

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_76dbed4a714b4ea3a5ddcce26eef78e2

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_76dbed4a714b4ea3a5ddcce26eef78e2

Other Identifiers

ISSN

2045-2322

E-ISSN

2045-2322

DOI

10.1038/s41598-025-02790-6

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