Recognizing structure in novel tunes: differences between human and rats

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• dc.contributor.author Crespo-Bojorque, Paola
• dc.contributor.author Cavvet, Elodie
• dc.contributor.author Pallier, Christophe
• dc.contributor.author Toro Juan M.
• dc.date.accessioned 2025-05-15T06:10:17Z
• dc.date.available 2025-05-15T06:10:17Z
• dc.date.issued 2024
• dc.description Supplementary materials files: online appendix; replication data.
• dc.description.abstract A central feature in music is the hierarchical organization of its components. Musical pieces are not a simple concatenation of chords, but are characterized by rhythmic and harmonic structures. Here, we explore if sensitivity to music structure might emerge in the absence of any experience with musical stimuli. For this, we tested if rats detect the difference between structured and unstructured musical excerpts and compared their performance with that of humans. Structured melodies were excerpts of Mozart's sonatas. Unstructured melodies were created by the recombination of fragments of different sonatas. We trained listeners (both human participants and Long-Evans rats) with a set of structured and unstructured excerpts, and tested them with completely novel excerpts they had not heard before. After hundreds of training trials, rats were able to tell apart novel structured from unstructured melodies. Human listeners required only a few trials to reach better performance than rats. Interestingly, such performance was increased in humans when tonality changes were included, while it decreased to chance in rats. Our results suggest that, with enough training, rats might learn to discriminate acoustic differences differentiating hierarchical music structures from unstructured excerpts. More importantly, the results point toward species-specific adaptations on how tonality is processed.
• dc.description.sponsorship Open Access funding provided thanks to the CRUE-CSIC agreement with Springer Nature. This research was supported by Grant ANR CONSTRUCT 2010 BLANC 1403 01 from the French Ministry of Research to CP, and Grant PID2021-123973NB-I00 from the Ministerio de Ciencia e Innovación to JMT.
• dc.format.mimetype application/pdf
• dc.identifier.citation Crespo-Bojorque P, Cavvet E, Pallier C, Toro JM. Recognizing structure in novel tunes: differences between human and rats. Anim Cogn. 2024 Dec;27(1):17. DOI: 10.1007/s10071-024-01848-8
• dc.identifier.doi http://dx.doi.org/10.1007/s10071-024-01848-8
• dc.identifier.issn 1435-9448
• dc.identifier.uri http://hdl.handle.net/10230/70395
• dc.language.iso eng
• dc.publisher Nature Research
• dc.relation.ispartof Animal Cognition. 2024 Dec;27(1):17
• dc.relation.isreferencedby https://osf.io/a4m6r/?view_only=889611d3933f4fa4be5d967b273a3e98
• dc.relation.projectID info:eu-repo/grantAgreement/ES/3PE/PID2021-123973NB-I00
• dc.rights This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.rights.uri http://creativecommons.org/licenses/by/4.0/
• dc.subject.keyword Music cognition
• dc.subject.keyword Rats
• dc.subject.keyword Rhythm
• dc.subject.keyword Tonality
• dc.subject.keyword Familiarization
• dc.title Recognizing structure in novel tunes: differences between human and rats
• dc.type info:eu-repo/semantics/article
• dc.type.version info:eu-repo/semantics/publishedVersion