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  Revealing rhythm categorization in human brain activity

Barbero, F. M., Lenc, T., Jacoby, N., Polak, R., Varlet, M., & Nozaradan, S. (2025). Revealing rhythm categorization in human brain activity. Science Advances, 11(31): eadu9838. doi:10.1126/sciadv.adu9838.

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Copyright © 2025 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works.Distributed under a Creative Commons Attribution License 4.0 (CC BY).

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 Creators:
Barbero, Francesca M.1, Author
Lenc, Tomas1, 2, Author
Jacoby, Nori3, 4, Author                 
Polak, Rainer5, 6, Author
Varlet, Manuel7, Author
Nozaradan, Sylvie1, 8, Author
Affiliations:
1Institute of Neuroscience (IoNS), University of Louvain (UCLouvain), Brussels, Belgium., ou_persistent22              
2Basque Center on Cognition, Brain and Language (BCBL), Donostia-San Sebastian, Spain, ou_persistent22              
3Research Group Computational Auditory Perception, Max Planck Institute for Empirical Aesthetics, Max Planck Society, ou_3024247              
4Department of Psychology, Cornell University, Ithaca, NY 14853, USA, ou_persistent22              
5RITMO Centre for Interdisciplinary Studies in Rhythm, Time and Motion, University of Oslo, Oslo, Norway, ou_persistent22              
6Department of Musicology, University of Oslo, Oslo, Norway, ou_persistent22              
7The MARCS Institute for Brain, Behaviour & Development, Western Sydney University, Sydney, Australia, ou_persistent22              
8International Laboratory for Brain, Music and Sound Research (BRAMS), Montreal, Canada., ou_persistent22              

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 Abstract: Humans across cultures show an outstanding capacity to perceive, learn, and produce musical rhythms. These skills rely on mapping the infinite space of possible rhythmic sensory inputs onto a finite set of internal rhythm categories. What is the nature of the brain processes underlying rhythm categorization? We used electroencephalography to measure brain activity as human participants listened to a continuum of rhythmic sequences characterized by repeating patterns of two interonset intervals. Using frequency and representational similarity analyses, we show that brain activity does not merely track the temporal structure of rhythmic inputs but, instead, produces categorical representation of rhythms. These neural rhythm categories arise automatically, independent of any motor- or timing-related tasks, yet exhibit strong similarity with categorization observed in overt behavior. Together, these results and methodological advances constitute a critical step toward understanding the biological roots and diversity of musical behaviors across cultures.

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Language(s): eng - English
 Dates: 2024-12-052025-07-022025-07-302025-08
 Publication Status: Issued
 Pages: -
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 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1126/sciadv.adu9838
 Degree: -

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Title: Science Advances
  Other : Sci Adv
Source Genre: Journal
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Publ. Info: Washington : AAAS
Pages: - Volume / Issue: 11 (31) Sequence Number: eadu9838 Start / End Page: - Identifier: ISSN: 2375-2548
CoNE: https://pure.mpg.de/cone/journals/resource/2375-2548