Commonality and variation in mental representations of music revealed by a cross-cultural comparison of rhythm priors in 15 countries.

Journal

Nature human behaviour

ISSN: 2397-3374

Titre abrégé: Nat Hum Behav

Pays: England

ID NLM: 101697750

Informations de publication

Date de publication:
04 Mar 2024

Historique:

received: 22 08 2021

accepted: 07 12 2023

medline: 5 3 2024

pubmed: 5 3 2024

entrez: 4 3 2024

Statut: aheadofprint

Résumé

Music is present in every known society but varies from place to place. What, if anything, is universal to music cognition? We measured a signature of mental representations of rhythm in 39 participant groups in 15 countries, spanning urban societies and Indigenous populations. Listeners reproduced random 'seed' rhythms; their reproductions were fed back as the stimulus (as in the game of 'telephone'), such that their biases (the prior) could be estimated from the distribution of reproductions. Every tested group showed a sparse prior with peaks at integer-ratio rhythms. However, the importance of different integer ratios varied across groups, often reflecting local musical practices. Our results suggest a common feature of music cognition: discrete rhythm 'categories' at small-integer ratios. These discrete representations plausibly stabilize musical systems in the face of cultural transmission but interact with culture-specific traditions to yield the diversity that is evident when mental representations are probed across many cultures.

Identifiants

DOI: 10.1038/s41562-023-01800-9 PMID: 38438653

pubmed: 38438653

doi: 10.1038/s41562-023-01800-9

pii: 10.1038/s41562-023-01800-9

doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

Subventions

Organisme : James S. McDonnell Foundation (McDonnell Foundation)

ID : Scholar Award

Informations de copyright

Références

Patel, A. D. Music, Language, and the Brain (Oxford Univ. Press, 2008).

Sundberg, J., Prame, E. & Iwarsson, J. Replicability and accuracy of pitch patterns in professional singers. in Vocal Fold Physiology, Controlling Complexity and Chaos (eds Davis, P. J. & Fletcher, N. H.) 291–306 (Singular, 1996).

Repp, B. H. Sensorimotor synchronization: a review of the tapping literature. Psychon. Bull. Rev. 12, 969–992 (2005).

pubmed: 16615317 doi: 10.3758/BF03206433

Vurma, A. & Ross, J. Production and perception of musical intervals. Music Percept. 23, 331–344 (2006).

doi: 10.1525/mp.2006.23.4.331

Larrouy-Maestri, P. & Morsomme, D. Criteria and tools for objectively analysing the vocal accuracy of a popular song. Logoped. Phoniatr. Vocol. 39, 11–18 (2014).

pubmed: 22721558 doi: 10.3109/14015439.2012.696139

Roeske, T. C., Tchernichovski, O., Poeppel, D. & Jacoby, N. Categorical rhythms are shared between songbirds and humans. Curr. Biol. 30, 3544–3555 (2020).

pubmed: 32707062 pmcid: 7511425 doi: 10.1016/j.cub.2020.06.072

Siegel, J. A. & Siegel, W. Categorical perception of tonal intervals: musicians can’t tell sharp from flat. Percept. Psychophys. 21, 399–407 (1977).

doi: 10.3758/BF03199493

Clarke, E. F. in Action and Perception in Rhythm and Music (ed. Gabrielsson, A.) 19–33 (Royal Swedish Academy of Music, 1987).

Desain, P. & Honing, H. The formation of rhythmic categories and metric priming. Perception 32, 341–365 (2003).

pubmed: 12729384 doi: 10.1068/p3370

Sadakata, M., Desain, P. & Honing, H. The Bayesian way to relate rhythm perception and production. Music Percept. 23, 269–288 (2006).

doi: 10.1525/mp.2006.23.3.269

Schulze, H. Categorical perception of rhythmic patterns. Psychol. Res. 51, 10–15 (1989).

doi: 10.1007/BF00309270

Goldstone, R. L. & Hendrickson, A. T. Categorical perception. WIREs Cogn. Sci. 1, 69–78 (2010).

doi: 10.1002/wcs.26

Lomax, A. & Berkowitz, N. The evolutionary taxonomy of culture. Science 177, 228–239 (1972).

pubmed: 17815614 doi: 10.1126/science.177.4045.228

Brown, S. & Jordania, J. Universals in the world’s musics. Psychol. Music 41, 229–248 (2013).

doi: 10.1177/0305735611425896

Savage, P. E., Brown, S., Sakai, E. & Currie, T. E. Statistical universals reveal the structures and functions of human music. Proc. Natl Acad. Sci. USA 112, 8987–8992 (2015).

pubmed: 26124105 pmcid: 4517223 doi: 10.1073/pnas.1414495112

Mehr, S. A. et al. Universality and diversity in human song. Science 366, eaax0868 (2019).

pubmed: 31753969 pmcid: 7001657 doi: 10.1126/science.aax0868

Savage, Patrick E., 'An Overview of Cross-Cultural Music Corpus Studies', in Daniel Shanahan, John Ashley Burgoyne, and Ian Quinn (eds), The Oxford Handbook of Music and Corpus Studies (online edn, Oxford Academic, 14 Feb. 2022).

Kessler, E. J., Hansen, C. & Shepard, R. N. Tonal schemata in the perception of music in Bali and in the West. Music Percept. 2, 131–165 (1984).

doi: 10.2307/40285289

Perlman, M. & Krumhansl, C. L. An experimental study of internal interval standards in Javanese and Western musicians. Music Percept. 14, 95–116 (1996).

doi: 10.2307/40285714

Krumhansl, C. L. et al. Cross-cultural music cognition: cognitive methodology applied to North Sami yoiks. Cognition 76, 13–58 (2000).

pubmed: 10822042 doi: 10.1016/S0010-0277(00)00068-8

Curtis, M. E. & Bharucha, J. J. Memory and musical expectation for tones in cultural context. Music Percept. 26, 365–375 (2009).

doi: 10.1525/mp.2009.26.4.365

Fritz, T. et al. Universal recognition of three basic emotions in music. Curr. Biol. 19, 573–576 (2009).

pubmed: 19303300 doi: 10.1016/j.cub.2009.02.058

Laukka, P., Eerola, T., Thingujam, N. S., Yamasaki, T. & Beller, G. Universal and culture-specific factors in the recognition and performance of musical affect expressions. Emotion 13, 434–449 (2013).

pubmed: 23398579 doi: 10.1037/a0031388

Egermann, H., Fernando, N., Chuen, L. & McAdams, S. Music induces universal emotion-related psychophysiological responses: comparing Canadian listeners to Congolese pygmies. Front. Psychol. 5, 1341 (2015).

pubmed: 25620935 pmcid: 4286616 doi: 10.3389/fpsyg.2014.01341

McDermott, J. H., Schultz, A. F., Undurraga, E. A. & Godoy, R. A. Indifference to dissonance in native Amazonians reveals cultural variation in music perception. Nature 535, 547–550 (2016).

pubmed: 27409816 doi: 10.1038/nature18635

Jacoby, N. & McDermott, J. H. Integer ratio priors on musical rhythm revealed cross-culturally by iterated reproduction. Curr. Biol. 27, 359–370 (2017).

pubmed: 28065607 doi: 10.1016/j.cub.2016.12.031

Polak, R. et al. Rhythmic prototypes across cultures: a comparative study of tapping synchronization. Music Percept. 36, 1–23 (2018).

doi: 10.1525/mp.2018.36.1.1

Jacoby, N. et al. Universal and non-universal features of musical pitch perception revealed by singing. Curr. Biol. 29, 3229–3243 (2019).

pubmed: 31543451 pmcid: 9907018 doi: 10.1016/j.cub.2019.08.020

McPherson, M. J. et al. Perceptual fusion of musical notes by native Amazonians suggests universal representations of musical intervals. Nat. Commun. 11, 2786 (2020).

pubmed: 32493923 pmcid: 7270137 doi: 10.1038/s41467-020-16448-6

Athanasopoulos, G., Eerola, T., Lahdelma, I. & Kaliakatsos-Papakostas, M. Harmonic organisation conveys both universal and culture-specific cues for emotional expression in music. PLoS ONE 16, e0244964 (2021).

pubmed: 33439887 pmcid: 7806179 doi: 10.1371/journal.pone.0244964

Jakubowski, K., Polak, R., Rocamora, M., Jure, L. & Jacoby, N. Aesthetics of musical timing: culture and expertise affect preferences for isochrony but not synchrony. Cognition 227, 105205 (2022).

pubmed: 35724531 doi: 10.1016/j.cognition.2022.105205

Mehr, S. A., Singh, M., York, H., Glowacki, L. & Krasnow, M. M. Form and function in human song. Curr. Biol. 28, 356–368 (2018).

pubmed: 29395919 pmcid: 5805477 doi: 10.1016/j.cub.2017.12.042

Hilton, C. B. et al. Acoustic regularities in infant-directed speech and song across cultures. Nat. Hum. Behav. 6, 1545–1556 (2022).

pubmed: 35851843 pmcid: 10101735 doi: 10.1038/s41562-022-01410-x

Locke, S. & Kellar, L. Categorical perception in a non-linguistic mode. Cortex 9, 355–369 (1973).

pubmed: 4784693 doi: 10.1016/S0010-9452(73)80035-8

Burns, E. M. & Ward, W. D. Categorical perception—phenomenon or epiphenomenon: evidence from experiments in the perception of melodic musical intervals. J. Acoust. Soc. Am. 63, 456–468 (1978).

pubmed: 670543 doi: 10.1121/1.381737

Povel, D. J. Internal representation of simple temporal patterns. J. Exp. Psychol. Hum. Percept. Perform. 7, 3–18 (1981).

pubmed: 6452500 doi: 10.1037/0096-1523.7.1.3

Henrich, J., Heine, S. J. & Norenzayan, A. The weirdest people in the world? Behav. Brain Sci. 33, 61–83 (2010).

pubmed: 20550733 doi: 10.1017/S0140525X0999152X

Bartlett, F. C. Remembering: A Study in Experimental and Social Psychology (Cambridge Univ. Press, 1932).

Griffiths, T. L. & Kalish, M. L. Language evolution by iterated learning with Bayesian agents. Cogn. Sci. 31, 441–480 (2007).

pubmed: 21635304 doi: 10.1080/15326900701326576

Cooper, G. W. & Meyer, L. B. The Rhythmic Structure of Music (Univ. Chicago Press, 1960).

Barrett, H. C. Towards a cognitive science of the human: cross-cultural approaches and their urgency. Trends Cogn. Sci. 24, 620–638 (2020).

pubmed: 32534836 doi: 10.1016/j.tics.2020.05.007

Gabrielsson, A., Bengtsson, I. & Gabrielsson, B. Performance of musical rhythm in 3/4 and 6/8 meter. Scand. J. Psychol. 24, 193–213 (1983).

doi: 10.1111/j.1467-9450.1983.tb00491.x

Garner, W. R. The Processing of Information and Structure (Lawrence Erlbaum, 1974).

Fraisse, P. in The Psychology of Music Vol. 1 (ed. Deutsch, D.) 149–180 (Academic Press, 1982).

Povel, D. J. & Essens, P. Perception of temporal patterns. Music Percept. 2, 411–440 (1985).

doi: 10.2307/40285311

Mead, A. Review of the development of multidimensional scaling. J. R. Stat. Soc. D 41, 27–39 (1992).

Jacoby, N. et al. Cross-cultural work in music cognition: challenges, insights and recommendations. Music Percept. 37, 185–195 (2020).

pubmed: 36936548 pmcid: 10019032 doi: 10.1525/mp.2020.37.3.185

Gosling, S. D. & Mason, W. Internet research in psychology. Annu. Rev. Psychol. 66, 877–902 (2015).

pubmed: 25251483 doi: 10.1146/annurev-psych-010814-015321

Holzapfel, A. Relation between surface rhythm and rhythmic modes in Turkish makam music. J. New Music Res. 44, 25–38 (2015).

doi: 10.1080/09298215.2014.939661

England, N. M. Music among the Z̳ũ’/‘wã-si and Related Peoples of Namibia, Botswana, and Angola (Garland, 1995).

Goldberg, D. Timing variations in two Balkan percussion performances. Empir. Musicol. Rev. 10, 305–328 (2015).

doi: 10.18061/emr.v10i4.4884

Hannon, E. E., Soley, G. & Ullal, S. Familiarity overrides complexity in rhythm perception: a cross-cultural comparison of American and Turkish listeners. J. Exp. Psychol. Hum. Percept. Perform. 38, 543–548 (2012).

pubmed: 22352419 doi: 10.1037/a0027225

Hannon, E. E. & Trehub, S. E. Metrical categories in infancy and adulthood. Psychol. Sci. 16, 48–55 (2005).

pubmed: 15660851 doi: 10.1111/j.0956-7976.2005.00779.x

Kubik, G. Africa. Grove Music Online https://doi.org/10.1093/gmo/9781561592630.article.00268 (2021).

Agawu, V. K. Structural analysis or cultural analysis? Competing perspectives on the ‘Standard Pattern’ of West African rhythm. J. Am. Musicol. Soc. 59, 1–46 (2006).

doi: 10.1525/jams.2006.59.1.1

Kubik, G. Angolan Traits in Black Music, Games and Dances of Brazil: A Study of African Cultural Extensions Overseas Vol. 10 (Junta de Investigações Científicas do Ultramar, 1979).

Washburne, C. The clave of jazz: a Caribbean contribution to the rhythmic foundation of an African-American music. Black Music Res. J. 17, 59–80 (1997).

doi: 10.2307/779360

Toussaint, G. T. The Geometry of Musical Rhythm: What Makes a ‘Good’ Rhythm Good? (CRC, 2013).

Rocamora, M. Computational Methods for Percussion Music Analysis: The Afro-Uruguayan Candombe Drumming as a Case Study. PhD thesis, Univ. de la República (2018).

Spiegel, M. F. & Watson, C. S. Performance on frequency-discrimination tasks by musicians and non-musicians. J. Acoust. Soc. Am. 76, 1690–1695 (1984).

doi: 10.1121/1.391605

Kishon-Rabin, L., Amir, O., Vexler, Y. & Zaltz, Y. Pitch discrimination: are professional musicians better than non-musicians? J. Basic Clin. Physiol. Pharmacol. 12, 125–143 (2001).

pubmed: 11605682 doi: 10.1515/JBCPP.2001.12.2.125

Fujioka, T., Trainor, L. J., Ross, B., Kakigi, R. & Pantev, C. Musical training enhances automatic encoding of melodic contour and interval structure. J. Cogn. Neurosci. 16, 1010–1021 (2004).

pubmed: 15298788 doi: 10.1162/0898929041502706

McPherson, M. J. & McDermott, J. H. Diversity in pitch perception revealed by task dependence. Nat. Hum. Behav. 2, 52–66 (2018).

pubmed: 30221202 doi: 10.1038/s41562-017-0261-8

Getz, L. M., Barton, S. & Kubovy, M. The specificity of expertise: for whom is the clave pattern the ‘key’ to salsa music? Acta Psychol. 152, 56–66 (2014).

doi: 10.1016/j.actpsy.2014.07.005

Aschersleben, G. & Prinz, W. Synchronizing actions with events: the role of sensory information. Percept. Psychophys. 57, 305–317 (1995).

pubmed: 7770322 doi: 10.3758/BF03213056

Patel, A. D. & Daniele, J. R. An empirical comparison of rhythm in language and music. Cognition 87, B35–B45 (2003).

pubmed: 12499110 doi: 10.1016/S0010-0277(02)00187-7

Stobart, H. & Cross, I. The Andean anacrusis? Rhythmic structure and perception in Easter songs of Northern Potosí, Bolivia. Br. J. Ethnomusicol. 2, 63–92 (2000).

doi: 10.1080/09681220008567301

Liu, J., Hilton, C. B., Bergelson, E. & Mehr, S. Language experience predicts music processing in a half-million speakers of 54 languages. Curr. Biol. 33, 1916–1925 (2023).

pubmed: 37105166 doi: 10.1016/j.cub.2023.03.067

Norman-Haignere, S., Kanwisher, N. & McDermott, J. H. Distinct cortical pathways for music and speech revealed by hypothesis-free voxel decomposition. Neuron 88, 1281–1296 (2015).

pubmed: 26687225 pmcid: 4740977 doi: 10.1016/j.neuron.2015.11.035

Nettl, B. in The Origins of Music (eds Wallin, N. L. et al.) 463–472 (MIT Press, 2000).

Feldman, N. H., Griffiths, T. L. & Morgan, J. L. The influence of categories on perception: explaining the perceptual magnet effect as optimal statistical inference. Psychol. Rev. 116, 752–782 (2009).

pubmed: 19839683 pmcid: 2785510 doi: 10.1037/a0017196

Smith, K., Kalish, M. L., Griffiths, T. L. & Lewandowsky, S. Introduction: cultural transmission and the evolution of human behaviour. Phil. Trans. R. Soc. B 363, 3469–3476 (2008).

pubmed: 18799420 pmcid: 2575430 doi: 10.1098/rstb.2008.0147

Jing, X. & Griffiths, T. L. A rational analysis of the effects of memory biases on serial reproduction. Cogn. Psychol. 60, 107–126 (2010).

doi: 10.1016/j.cogpsych.2009.09.002

Ravignani, A., Delgado, T. & Kirby, S. Musical evolution in the lab exhibits rhythmic universals. Nat. Hum. Behav. 1, 1–7 (2017).

Anglada-Tort, M., Harrison, P. M. C., Lee, H. & Jacoby, N. Large-scale iterated singing experiments reveal oral transmission mechanisms underlying music evolution. Curr. Biol. 33, 1472–1486 (2023).

pubmed: 36958332 doi: 10.1016/j.cub.2023.02.070

Zaslavsky, N., Kemp, C., Regier, T. & Tishby, N. Efficient compression in color naming and its evolution. Proc. Natl Acad. Sci. USA 115, 7937–7942 (2018).

pubmed: 30021851 pmcid: 6077716 doi: 10.1073/pnas.1800521115

Carr, J. W., Smith, K., Culbertson, J. & Kirby, S. Simplicity and informativeness in semantic category systems. Cognition 202, 104289 (2020).

pubmed: 32502868 doi: 10.1016/j.cognition.2020.104289

Tierney, A. T., Russo, F. A. & Patel, A. D. The motor origins of human and avian song structure. Proc. Natl Acad. Sci. USA 108, 15510–15515 (2011).

pubmed: 21876156 pmcid: 3174665 doi: 10.1073/pnas.1103882108

Tillmann, B., Bharucha, J. J. & Bigand, E. Implicit learning of tonality: a self-organizing approach. Psychol. Rev. 107, 885–913 (2000).

pubmed: 11089410 doi: 10.1037/0033-295X.107.4.885

Berlin, B. & Kay, P. Basic Color Terms: Their Universality and Evolution (Univ. California Press, 1969).

Repp, B. H. Categorical perception: issues, methods, findings. Speech Lang. 10, 243–335 (1984).

doi: 10.1016/B978-0-12-608610-2.50012-1

Majid, A. & Kruspe, N. Hunter-gatherer olfaction is special. Curr. Biol. 28, 409–413 (2018).

pubmed: 29358070 doi: 10.1016/j.cub.2017.12.014

Large, E. W. & Snyder, J. S. Pulse and meter as neural resonance. Ann. N. Y. Acad. Sci. 1169, 46–57 (2009).

pubmed: 19673754 doi: 10.1111/j.1749-6632.2009.04550.x

Apicella, C., Norenzayan, A. & Henrich, J. Beyond WEIRD: a review of the last decade and a look ahead to the global laboratory of the future. Evol. Hum. Behav. 41, 319–329 (2020).

doi: 10.1016/j.evolhumbehav.2020.07.015

Amir, D. & McAuliffe, K. Cross-cultural, developmental psychology: integrating approaches and key insights. Evol. Hum. Behav. 41, 430–444 (2020).

doi: 10.1016/j.evolhumbehav.2020.06.006

Ravignani, A., Thompson, B., Grossi, T., Delgado, T. & Kirby, S. Evolving building blocks of rhythm: how human cognition creates music via cultural transmission. Ann. N. Y. Acad. Sci. 1423, 176–187 (2018).

doi: 10.1111/nyas.13610

Boebinger, D., Norman-Haignere, S. V., McDermott, J. H. & Kanwisher, N. Cortical music selectivity does not require musical training. J. Neurophysiol. 125, 2237–2263 (2021).

pubmed: 33596723 pmcid: 8285655 doi: 10.1152/jn.00588.2020

Summers, J. J., Bell, R. & Burns, B. D. Perceptual and motor factors in the imitation of simple temporal patterns. Psychol. Res. 51, 23–27 (1989).

pubmed: 2756072 doi: 10.1007/BF00309272

Repp, B. H., London, J. & Keller, P. E. Perception–production relationships and phase correction in synchronization with two-interval rhythms. Psychol. Res. 75, 227–242 (2011).

pubmed: 20644955 doi: 10.1007/s00426-010-0301-8

Kaplan, T., Cannon, J., Jamone, L. & Pearce, M. Modeling enculturated bias in entrainment to rhythmic patterns. PLoS Comp. Biol. 18, e1010579 (2022).

doi: 10.1371/journal.pcbi.1010579

Grahn, J. A. & Brett, M. Rhythm and beat perception in motor areas of the brain. J. Cogn. Neurosci. 19, 893–906 (2007).

pubmed: 17488212 doi: 10.1162/jocn.2007.19.5.893

Ozaki, Y. et al. Globally, songs and instrumental melodies are slower, higher, and use more stable pitches than speech [Stage 2 Registered Report]. Preprint at PsyArXiv https://doi.org/10.24072/pci.rr.100469 (2023).

London, J. Hearing in Time: Psychological Aspects of Musical Meter (Oxford Univ. Press, 2012).

Repp, B. H. Rate limits in sensorimotor synchronization with auditory and visual sequences: the synchronization threshold and the benefits and costs of interval subdivision. J. Motor Behav. 35, 355–370 (2003).

doi: 10.1080/00222890309603156

London, J., Himberg, T. & Cross, I. The effect of structural and performance factors in the perception of anacruses. Music Percept. 27, 103–120 (2009).

doi: 10.1525/mp.2009.27.2.103

Marchetti, C. C. Aristoxenus “Elements of Rhythm”: Text, translation, and commentary with a translation and commentary on POxy 2687 (Rutgers, The State University of New Jersey-New Brunswick, 2009).

Brennan, B. Augustine’s “De musica”. Vigiliae Christianae 42, 267–281 (1988).

Descartes, R. Compendium of Music [trans. Walter Robert] (American Institute of Musicology, 1961).

Euler, L. Tentamen novae theoriae musicae (Academiae Scientiarum, 1739).

Parncutt, R. & Hair, G. Psychocultural theory of musical interval: bye bye Pythagoras. Music Percept. 35, 475–501 (2018).

doi: 10.1525/mp.2018.35.4.475

Serra, X. The computational study of a musical culture through its digital traces. Acta Musicol. 89, 24–44 (2017).

Mehrabi, N., Morstatter, F., Saxena, N., Lerman, K. & Galstyan, A. A survey on bias and fairness in machine learning. ACM Comput. Surv. 54, 115 (2021).

McAuley, J. D., Jones, M. R., Holub, S., Johnston, H. M. & Miller, N. S. The time of our lives: lifespan development of timing and event tracking. J. Exp. Psychol. Gen. 135, 348–367 (2006).

pubmed: 16846269 doi: 10.1037/0096-3445.135.3.348

Anglada-Tort, M., Harrison, P. M. C. & Jacoby, N. REPP: a robust cross-platform solution for online sensorimotor synchronization experiments. Behav. Res. Methods 54, 2271–2285 (2022).

pubmed: 35149980 pmcid: 8853279 doi: 10.3758/s13428-021-01722-2

Bridges, D., Pitiot, A., MacAskill, M. R. & Peirce, J. W. The timing mega-study: comparing a range of experiment generators, both lab-based and online. PeerJ 8, e9414 (2020).

pubmed: 33005482 pmcid: 7512138 doi: 10.7717/peerj.9414

Anwyl-Irvine, A., Dalmaijer, E. S., Hodges, N. & Evershed, J. K. Realistic precision and accuracy of online experiment platforms, web browsers, and devices. Behav. Res. Methods 53, 1407–1425 (2021).

pubmed: 33140376 doi: 10.3758/s13428-020-01501-5

Spearman, C. Correlation calculated from faulty data. Br. J. Psychol. 3, 271–295 (1910).

Posch, L. et al. Characterizing the global crowd workforce: a cross-country comparison of crowdworker demographics. Hum. Comput. 9, 22–57 (2022).

doi: 10.15346/hc.v9i1.106

Riester, J. Canción y Producción en la Vida de un Pueblo Indígena: Los Chimane del Oriente Boliviano (Los Amigos del Libro, 1978).

Huanca, T. Tsimane’ Oral Tradition, Landscape, and Identity in Tropical Forest (Wa-Gui, 2008).

Kempf, D. & Kempf, E. Journey to Chimane Land (Xulon, 2017).

Lima, I. M. d. F. Maracatus-Nação: Ressignificando Velhas Histórias (Edições Bagaço, 2005).

Tinhorão, J. R. Os Sons dos Negros no Brasil: Cantos, Danças, Folguedos: Origens 3rd edn (Editora 34, 2012).

Ferreira, L. An afrocentric approach to musical performance in south black atlantic: The candombe drumming in Uruguay. Trans. Music Revista Transcultural de Música 11, 1–15 (2007).

Rice, T. May It Fill Your Soul: Experiencing Bulgarian Music (Univ. Chicago Press, 1994).

Buchanan, D. A. Performing Democracy: Bulgarian Music and Musicians in Transition (Univ. Chicago Press, 2006).

Polak, R. A musical instrument travels around the world: jenbe playing in Bamako, West Africa, and beyond. World Music 42, 7–46 (2000).

Hood, M. The challenge of ‘bi-musicality’. Ethnomusicology 4, 55–59 (1960).

doi: 10.2307/924263

Ingram, C. Tradition and divergence in southwestern China: Kam big song singing in the village and on the stage. Asia Pac. J. Anthropol. 13, 434–453 (2012).

doi: 10.1080/14442213.2012.732601

Friedman, J., Hastie, T. & Tibshirani, R. The Elements of Statistical Learning (Springer, 2009).

Fraisse, P. Les Structures Rythmiques (Publications Univ. Louvain, 1956).

Repp, B. H., London, J. & Keller, P. E. Systematic distortions in musicians’ reproduction of cyclic three-interval rhythms. Music Percept. 30, 291–305 (2013).

doi: 10.1525/mp.2012.30.3.291

Repp, B. H., London, J. & Keller, P. E. Distortions in reproduction of two-interval rhythms: when the ‘attractor ratio’ is not exactly 1:2. Music Percept. 30, 205–223 (2012).

doi: 10.1525/mp.2012.30.2.205

Corcoran, C. & Frieler, K. Playing it straight. Music Percept. 38, 372–385 (2021).

doi: 10.1525/mp.2021.38.4.372

Yates, C. M., Justus, T., Atalay, N. B., Mert, N. & Trehub, S. E. Effects of musical training and culture on meter perception. Psychol. Music 45, 231–245 (2017).

doi: 10.1177/0305735616657407

Polak, R. Rhythmic feel as meter: non-isochronous beat subdivision in jembe music from Mali. Music Theory Online 16, 4 (2010).

doi: 10.30535/mto.16.4.4

Polak, R. in Hip Hop Africa: New African Music in a Globalizing World (ed. Charry, E. S.) 261–281 (Indiana Univ. Press, 2012).

Tukey, J. W. Exploratory Data Analysis Vol. 2, 39–43 (Addison-Wesley, 1977).

Cooper, G. & Meyer, L. B. The Rhythmic Structure of Music (Univ. Chicago Press, 1963).

Kolinski, M. A cross-cultural approach to metro-rhythmic patterns. Ethnomusicology 17, 494–506 (1973).

doi: 10.2307/849962

Bishara, A. J. & Hittner, J. B. Confidence intervals for correlations when data are not normal. Behav. Res. Methods Instrum. Comput. 49, 294–309 (2017).

doi: 10.3758/s13428-016-0702-8

Sanborn, A. N., Griffiths, T. L. & Shiffrin, R. M. Uncovering mental representations with Markov chain Monte Carlo. Cogn. Psychol. 60, 63–106 (2010).

pubmed: 19703686 doi: 10.1016/j.cogpsych.2009.07.001

Harrison, P. et al. In Advances in Neural Information Processing Systems Vol. 33 (eds Larochelle, H. et al.) 10659–10671 (Curran Associates, 2020).

Kirby, S., Cornish, H. & Smith, K. Cumulative cultural evolution in the laboratory: an experimental approach to the origins of structure in human language. Proc. Natl Acad. Sci. USA 105, 10681–10686 (2008).

pubmed: 18667697 pmcid: 2504810 doi: 10.1073/pnas.0707835105

Xu, J. & Griffiths, T. L. A rational analysis of the effects of memory biases on serial reproduction. Cogn. Psychol. 60, 107–126 (2010).

pubmed: 19879560 doi: 10.1016/j.cogpsych.2009.09.002

London, J., Burger, B., Thompson, M. & Toiviainen, P. Speed on the dance floor: auditory and visual cues for musical tempo. Acta Psychol. 164, 70–80 (2016).

doi: 10.1016/j.actpsy.2015.12.005

Levitin, D. J., Grahn, J. A. & London, J. The psychology of music: rhythm and movement. Annu. Rev. Psychol. 69, 51–75 (2018).

pubmed: 29035690 doi: 10.1146/annurev-psych-122216-011740

Arom, S. L’aksak: principes et typologie. Cah. Musiques Tradit. 17, 11–48 (2004).

doi: 10.2307/40240517

Dzhidzhev, T. Problemi na Metroritŭma i Strukturata na Pesenniya Folklor (Bŭlgarskata Akademiya na Naukite, 1981).

Jacoby, N. et al. Data for commonality and variation in mental representations of music revealed by a cross-cultural comparison of rhythm priors in 15 countries. OSF https://osf.io/6zd4v/ (2024).