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The Evolution of Rhythm Processing
Open accessAbstract
Behavioral and brain rhythms in the millisecond-to-second range are central in human music, speech, and movement. A comparative approach can further our understanding of the evolution of rhythm processing by identifying behavioral and neural similarities and differences across cognitive domains and across animal species. We provide an overview of research into rhythm cognition in music, speech, and animal communication. Rhythm has received considerable attention within each individual field, but to date, little integration. This review article on rhythm processing incorporates and extends existing ideas on temporal processing in speech and music and offers suggestions about the neural, biological, and evolutionary bases of human abilities in these domains.
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Selezneva, E., Deike, S., Knyazeva, S., Scheich, H., Brechmann, A., & Brosch, M. (2013) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2013.00049 · Cited by 30
Ayala, Y. A., Lehmann, A., & Merchant, H. (2017) · Scientific Reports · doi:10.1038/s41598-017-16774-8 · Cited by 30
Evolving building blocks of rhythm: how human cognition creates music via cultural transmission
Ravignani, A., Thompson, B., Grossi, T., Delgado, T., & Kirby, S. (2018) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.13610 · Cited by 26
Self-citationTakaura, K., & Fujii, N. (2015) · European Journal of Neuroscience · doi:10.1111/ejn.13136 · Cited by 25
Evolving perceptual biases for antisynchrony: a form of temporal coordination beyond synchrony
Ravignani, A. (2015) · Frontiers in Neuroscience · doi:10.3389/fnins.2015.00339 · Cited by 18
Self-citationNeural activity associated with rhythmicity of song in juvenile male and female zebra finches
Lampen, J., McAuley, J. D., Chang, S., & Wade, J. (2017) · Behavioural Processes · doi:10.1016/j.beproc.2017.12.003 · Cited by 16
Hierarchical and rhythmic organization in the songs of humpback whales (Megaptera novaeangliae)
Handel, S., Todd, S. K., & Zoidis, A. M. (2012) · Bioacoustics · doi:10.1080/09524622.2012.668324 · Cited by 15
Generalizing prosodic patterns by a non-vocal learning mammal
Toro, J. M., & Hoeschele, M. (2016) · Animal Cognition · doi:10.1007/s10071-016-1036-8 · Cited by 12
The Neurophysiology and Evolution of the Speech Rhythm
Ghazanfar, A. A., & Poeppel, D. (2014) · The Cognitive Neurosciences · doi:10.7551/mitpress/9504.003.0069 · Cited by 12
The Evolution of Rhythm Cognition: Timing in Music and Speech
(2018) · Frontiers research topics · doi:10.3389/978-2-88945-500-3 · Cited by 10
Evolution of temporal interaction: A comparative approach to social timingPreprint
Ravignani, A., & Kotz, S. A. (2017) · doi:10.7287/peerj.preprints.3275v1 · Cited by 4
Self-citation
Cited by
A New Unifying Account of the Roles of Neuronal Entrainment
Lakatos, P., Gross, J., & Thut, G. (2019) · Current Biology · doi:10.1016/j.cub.2019.07.075 · Cited by 508
Greenberg, D. M., Milstein, N., Gilboa, A., Cohen, S., Haimovich, N., Siegman, S., Pinhasi, S., & Gordon, I. (2023) · Psychophysiology · doi:10.1111/psyp.14307 · Cited by 4
Metadata
- Authors
- Kotz, S. A., Ravignani, A., & Fitch, W. T.
- Venue
- Trends in Cognitive Sciences
- Publisher
- Elsevier BV
- Published
- 2018-10
- Volume
- 22
- Issue
- 10
- Pages
- 896-910
- ISSN
- 1364-6613 (ISSN-L)
- OpenAlex
- W2892894833
- Cited by
- 304
- References
- 129
- FWCI
- 3.13
- Type
- journal article
- Language
- en
- Open access
- hybrid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.