The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Rhythmic cognition in humans and animals: distinguishing meter and pulse perception
Open accessAbstract
This paper outlines a cognitive and comparative perspective on human rhythmic cognition that emphasizes a key distinction between pulse perception and meter perception. Pulse perception involves the extraction of a regular pulse or "tactus" from a stream of events. Meter perception involves grouping of events into hierarchical trees with differing levels of "strength", or perceptual prominence. I argue that metrically-structured rhythms are required to either perform or move appropriately to music (e.g., to dance). Rhythms, from this metrical perspective, constitute "trees in time." Rhythmic syntax represents a neglected form of musical syntax, and warrants more thorough neuroscientific investigation. The recent literature on animal entrainment clearly demonstrates the capacity to extract the pulse from rhythmic music, and to entrain periodic movements to this pulse, in several parrot species and a California sea lion, and a more limited ability to do so in one chimpanzee. However, the ability of these or other species to infer hierarchical rhythmic trees remains, for the most part, unexplored (with some apparent negative results from macaques). The results from this animal comparative research, combined with new methods to explore rhythmic cognition neurally, provide exciting new routes for understanding not just rhythmic cognition, but hierarchical cognition more generally, from a biological and neural perspective.
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Cites
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Towards a neural basis of auditory sentence processing
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Chunking mechanisms in human learning
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Musical syntax is processed in Broca's area: an MEG study
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Hive psychology, happiness, and public policy
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Cited by
Patel, A. D., & Iversen, J. R. (2014) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2014.00057 · Cited by 516
How musical training affects cognitive development: rhythm, reward and other modulating variables
Miendlarzewska, E. A., & Trost, W. J. (2014) · Frontiers in Neuroscience · doi:10.3389/fnins.2013.00279 · Cited by 323
Without it no music: cognition, biology and evolution of musicality
Honing, H., ten Cate, C., Peretz, I., & Trehub, S. E. (2015) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2014.0088 · Cited by 305
The Evolution of Rhythm Processing
Kotz, S. A., Ravignani, A., & Fitch, W. T. (2018) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2018.08.002 · Cited by 304
Self-citationThe evolutionary biology of musical rhythm: was Darwin wrong?
Patel, A. D. (2014) · PLoS Biology · doi:10.1371/journal.pbio.1001821 · Cited by 145
Metadata
- Authors
- Fitch, W. T.
- Venue
- Frontiers in Systems Neuroscience
- Publisher
- Frontiers Media SA
- Published
- 2013
- Volume
- 7
- Pages
- 68-68
- ISSN
- 1662-5137 (ISSN-L)
- OpenAlex
- W2097695998
- Cited by
- 176
- References
- 12
- FWCI
- 8.25
- Type
- journal article
- Language
- en
- Open access
- gold
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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.