Evidence map›Paper›PMID 38429431›Full record

ArticleAnimal cognition2024

Recognizing structure in novel tunes: differences between human and rats.

Paola Crespo-Bojorque, Elodie Cauvet, Christophe Pallier, Juan M Toro

Abstract read
In one paragraph

Article in Animal cognition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Paola Crespo-BojorqueUniversitat Pompeu Fabra, C. Ramon Trias Fargas, 25-27, CP. 08005, Barcelona, Spain.
Elodie CauvetCognitive Neuroimaging Unit, INSERM, CEA, CNRS, Université Paris-Saclay, NeuroSpin Center, Gif-Sur-Yvette, France.
Christophe PallierCognitive Neuroimaging Unit, INSERM, CEA, CNRS, Université Paris-Saclay, NeuroSpin Center, Gif-Sur-Yvette, France.
Juan M ToroUniversitat Pompeu Fabra, C. Ramon Trias Fargas, 25-27, CP. 08005, Barcelona, Spain. juanmanuel.toro@upf.edu.

Funding

Ministère de l'Education Nationale, de l'Enseignement Superieur et de la Recherche ANR CONSTRUCT 2010 BLANC 1403 01Ministerio de Ciencia e Innovación PID2021-123973NB-I00
6 · The paper itself

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.

Indexed as

Auditory PerceptionAnimalsHumansRatsRats, Long-EvansFamiliarizationMusic cognitionRatsRhythmTonality

Identifiers

PMID38429431
PMCPMC10907461

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.