Cognitive and sensory expectations independently shape musical expectancy and pleasure.

computational modelling expectancy music pleasure and reward predictive coding tonal harmony

Journal

Philosophical transactions of the Royal Society of London. Series B, Biological sciences
ISSN: 1471-2970
Titre abrégé: Philos Trans R Soc Lond B Biol Sci
Pays: England
ID NLM: 7503623

Informations de publication

Date de publication:
29 Jan 2024
Historique:
medline: 18 12 2023
pubmed: 18 12 2023
entrez: 17 12 2023
Statut: ppublish

Résumé

Expectation is crucial for our enjoyment of music, yet the underlying generative mechanisms remain unclear. While sensory models derive predictions based on local acoustic information in the auditory signal, cognitive models assume abstract knowledge of music structure acquired over the long term. To evaluate these two contrasting mechanisms, we compared simulations from four computational models of musical expectancy against subjective expectancy and pleasantness ratings of over 1000 chords sampled from 739 US Billboard pop songs. Bayesian model comparison revealed that listeners' expectancy and pleasantness ratings were predicted by the independent, non-overlapping, contributions of cognitive and sensory expectations. Furthermore, cognitive expectations explained over twice the variance in listeners' perceived surprise compared to sensory expectations, suggesting a larger relative importance of long-term representations of music structure over short-term sensory-acoustic information in musical expectancy. Our results thus emphasize the distinct, albeit complementary, roles of cognitive and sensory expectations in shaping musical pleasure, and suggest that this expectancy-driven mechanism depends on musical information represented at different levels of abstraction along the neural hierarchy. This article is part of the theme issue 'Art, aesthetics and predictive processing: theoretical and empirical perspectives'.

Identifiants

pubmed: 38104601
doi: 10.1098/rstb.2022.0420
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

20220420

Auteurs

Vincent K M Cheung (VKM)

Sony Computer Science Laboratories, Inc., Shinagawa-ku, Tokyo 141-0022, Japan.
Department of Neuropsychology, Sony Computer Science Laboratories, Inc., Shinagawa-ku, Tokyo 141-0022, Japan.
Institute of Information Science, Academia Sinica, Taipei 115, Taiwan.

Peter M C Harrison (PMC)

Centre for Music and Science, University of Cambridge, Faculty of Music, 11 West Road, Cambridge, CB3 9DP, UK.
Centre for Digital Music, Queen Mary University of London, E1 4NS, UK.

Stefan Koelsch (S)

Department of Biological and Medical Psychology, University of Bergen, Bergen, 5009, Norway.

Marcus T Pearce (MT)

Centre for Digital Music, Queen Mary University of London, E1 4NS, UK.
Department of Clinical Medicine, Aarhus University, Aarhus N, 8200, Denmark.

Angela D Friederici (AD)

Department of Neuropsychology, Sony Computer Science Laboratories, Inc., Shinagawa-ku, Tokyo 141-0022, Japan.

Lars Meyer (L)

Research Group Language Cycles, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig 04103, Germany.
Clinic for Phoniatrics and Pedaudiology, University Hospital Münster, Münster, 48149, Germany.

Classifications MeSH