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Open AccessMoreSectionsView PDF ToolsAdd to favoritesDownload CitationsTrack Citations ShareShare onFacebookTwitterLinked InRedditEmail Cite this article Ravignani Andrea and Garcia Maxime 2022Correction to ‘A cross-species framework to identify vocal learning abilities in mammals’Phil. Trans. R. Soc. B3772021048920210489http://doi.org/10.1098/rstb.2021.0489SectionOpen AccessCorrectionCorrection to ‘A cross-species framework to identify vocal learning abilities in mammals’ Andrea Ravignani Andrea Ravignani Google Scholar Find this author on PubMed Search for more papers by this author and Maxime Garcia Maxime Garcia Google Scholar Find this author on PubMed Search for more papers by this author Andrea Ravignani Andrea Ravignani Google Scholar Find this author on PubMed Search for more papers by this author and Maxime Garcia Maxime Garcia Google Scholar Find this author on PubMed Search for more papers by this author Published:13 December 2021https://doi.org/10.1098/rstb.2021.0489This article corrects the followingResearch ArticleA cross-species framework to identify vocal learning abilities in mammalshttps://doi.org/10.1098/rstb.2020.0394 Andrea Ravignani and Maxime Garcia volume 377issue 1841Philosophical Transactions of the Royal Society B: Biological Sciences15 November 2021Phil. Trans. R. Soc. B377, 20200394. (Published online 15 November 2021). (doi:10.1098/rstb.2020.0394)The originally published version of this paper showed an error in figure 3. The Y-axis titles in the first column were reversed (upper left panel incorrectly showed ‘log10(maximum frequency)’ and the lower left panel showed ‘log10 (minimum frequency)’). The correct figure is shown below. This has also been corrected on the publisher's website. Figure 3. PGLS regressions representing acoustic allometry relationships between acoustic features and body mass (all variables log-transformed). Clockwise, from top-left, MaxDF, RangeDF, MeanDF, and MinDF. VPL species are indicated in red, while non-VPL species are indicated in black. Outliers (see defining criteria in Methods) are indicated by empty diamonds, while non-outliers are indicated by filled triangles. Apart from the regression involving frequency range (top-right panel), all regressions showed that acoustic features are significantly predicted by body mass (see electronic supplementary material, table S2).Download figureOpen in new tabDownload PowerPoint Previous Article VIEW FULL TEXT DOWNLOAD PDF FiguresRelatedReferencesDetailsRelated articlesA cross-species framework to identify vocal learning abilities in mammals15 November 2021Philosophical Transactions of the Royal Society B: Biological Sciences This Issue31 January 2022Volume 377Issue 1843Discussion meeting issue ‘The emergence of collective knowledge and cumulative culture in animals, humans and machines’ organized and edited by Andrew Whiten, Dora Biro, Ellen C. Garland and Simon Kirby Article InformationDOI:https://doi.org/10.1098/rstb.2021.0489PubMed:34894744Published by:Royal SocietyPrint ISSN:0962-8436Online ISSN:1471-2970History: Published online13/12/2021Published in print31/01/2022 License:© 2021 The Authors.Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited. Citations and impact Subjectsbehaviour

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  • The originally published version of this paper showed an error in figure 3

  • Caperea_marginata log10 (body mass) log10 (body mass)

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Cite this article: Ravignani A, Garcia M.

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