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. 2024 Mar 4;8(5):846–877. doi: 10.1038/s41562-023-01800-9

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© The Author(s) 2024

Open Access 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/.

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Extended Data Fig. 5 — a, The correlation between the weights given to each of a subset of small-integer-ratio rhythms in a Gaussian mixture model fitted to the prior, and the position along the first (horizontal) multidimensional scaling dimension (from the analysis of Fig. 5a). Dimension 1 is highly correlated with the strength of category 3:3:2. Asterisks denote statistical significance of the correlations, after Bonferroni correction for multiple comparisons (***: p < 0.001; **: p < 0.01; *: p < 0.05). Error bars plot one standard deviation. b, Same as b. but for the second (vertical) multidimensional scaling dimension, which is significantly correlated with categories 1:2:3 and 1:3:2.