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Vocal learning as a preadaptation for the evolution of human beat perception and synchronization
The human capacity to synchronize movements to an auditory beat is central to musical behaviour and to debates over the evolution of human musicality. Have humans evolved any neural specializations for music processing, or does music rely entirely on brain circuits that evolved for other reasons? Th...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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The Royal Society
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8380969/ https://www.ncbi.nlm.nih.gov/pubmed/34420384 http://dx.doi.org/10.1098/rstb.2020.0326 |
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author | Patel, Aniruddh D. |
author_facet | Patel, Aniruddh D. |
author_sort | Patel, Aniruddh D. |
collection | PubMed |
description | The human capacity to synchronize movements to an auditory beat is central to musical behaviour and to debates over the evolution of human musicality. Have humans evolved any neural specializations for music processing, or does music rely entirely on brain circuits that evolved for other reasons? The vocal learning and rhythmic synchronization hypothesis proposes that our ability to move in time with an auditory beat in a precise, predictive and tempo-flexible manner originated in the neural circuitry for complex vocal learning. In the 15 years since the hypothesis was proposed a variety of studies have supported it. However, one study has provided a significant challenge to the hypothesis. Furthermore, it is increasingly clear that vocal learning is not a binary trait animals have or lack, but varies more continuously across species. In the light of these developments and of recent progress in the neurobiology of beat processing and of vocal learning, the current paper revises the vocal learning hypothesis. It argues that an advanced form of vocal learning acts as a preadaptation for sporadic beat perception and synchronization (BPS), providing intrinsic rewards for predicting the temporal structure of complex acoustic sequences. It further proposes that in humans, mechanisms of gene-culture coevolution transformed this preadaptation into a genuine neural adaptation for sustained BPS. The larger significance of this proposal is that it outlines a hypothesis of cognitive gene-culture coevolution which makes testable predictions for neuroscience, cross-species studies and genetics. This article is part of the theme issue ‘Synchrony and rhythm interaction: from the brain to behavioural ecology’. |
format | Online Article Text |
id | pubmed-8380969 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | The Royal Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-83809692021-12-05 Vocal learning as a preadaptation for the evolution of human beat perception and synchronization Patel, Aniruddh D. Philos Trans R Soc Lond B Biol Sci Articles The human capacity to synchronize movements to an auditory beat is central to musical behaviour and to debates over the evolution of human musicality. Have humans evolved any neural specializations for music processing, or does music rely entirely on brain circuits that evolved for other reasons? The vocal learning and rhythmic synchronization hypothesis proposes that our ability to move in time with an auditory beat in a precise, predictive and tempo-flexible manner originated in the neural circuitry for complex vocal learning. In the 15 years since the hypothesis was proposed a variety of studies have supported it. However, one study has provided a significant challenge to the hypothesis. Furthermore, it is increasingly clear that vocal learning is not a binary trait animals have or lack, but varies more continuously across species. In the light of these developments and of recent progress in the neurobiology of beat processing and of vocal learning, the current paper revises the vocal learning hypothesis. It argues that an advanced form of vocal learning acts as a preadaptation for sporadic beat perception and synchronization (BPS), providing intrinsic rewards for predicting the temporal structure of complex acoustic sequences. It further proposes that in humans, mechanisms of gene-culture coevolution transformed this preadaptation into a genuine neural adaptation for sustained BPS. The larger significance of this proposal is that it outlines a hypothesis of cognitive gene-culture coevolution which makes testable predictions for neuroscience, cross-species studies and genetics. This article is part of the theme issue ‘Synchrony and rhythm interaction: from the brain to behavioural ecology’. The Royal Society 2021-10-11 2021-08-23 /pmc/articles/PMC8380969/ /pubmed/34420384 http://dx.doi.org/10.1098/rstb.2020.0326 Text en © 2021 The Authors. https://creativecommons.org/licenses/by/4.0/Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, provided the original author and source are credited. |
spellingShingle | Articles Patel, Aniruddh D. Vocal learning as a preadaptation for the evolution of human beat perception and synchronization |
title | Vocal learning as a preadaptation for the evolution of human beat perception and synchronization |
title_full | Vocal learning as a preadaptation for the evolution of human beat perception and synchronization |
title_fullStr | Vocal learning as a preadaptation for the evolution of human beat perception and synchronization |
title_full_unstemmed | Vocal learning as a preadaptation for the evolution of human beat perception and synchronization |
title_short | Vocal learning as a preadaptation for the evolution of human beat perception and synchronization |
title_sort | vocal learning as a preadaptation for the evolution of human beat perception and synchronization |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8380969/ https://www.ncbi.nlm.nih.gov/pubmed/34420384 http://dx.doi.org/10.1098/rstb.2020.0326 |
work_keys_str_mv | AT patelaniruddhd vocallearningasapreadaptationfortheevolutionofhumanbeatperceptionandsynchronization |