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Cited by 419

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

MUSIC PERFORMANCE

Palmer, Caroline·1997·Annual Review of Psychology

Abstract

▪ Abstract Music performance provides a rich domain for study of both cognitive and motor skills. Empirical research in music performance is summarized, with particular emphasis on factors that contribute to the formation of conceptual interpretations, retrieval from memory of musical structures, and transformation into appropriate motor actions. For example, structural and emotional factors that contribute to performers' conceptual interpretations are considered. Research on the planning of musical sequences for production is reviewed, including hierarchical and associative retrieval influences, style-specific syntactic influences, and constraints on the range of planning. The fine motor control evidenced in music performance is discussed in terms of internal timekeeper models, motor programs, and kinematic models. The perceptual consequences of music performance are highlighted, including the successful communication of interpretations, resolution of structural ambiguities, and concordance with listeners' expectations. Parallels with other domains support the conclusion that music performance is not unique in its underlying cognitive mechanisms.

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Crossref · 10.1146/annurev.psych.48.1.115

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Metadata

Authors
Palmer, C.
Venue
Annual Review of Psychology
Published
1997-02
Volume
48
Issue
1
Pages
115-138
ISSN
  • 0066-4308 (ISSN-L)
  • 1545-2085
OpenAlex
W4256689234
Cited by
419
References
1
FWCI
0.60
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: MUSIC PERFORMANCE. https://app.cochat.ai/papers/10.1146/annurev.psych.48.1.115
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Palmer, C. (1997). MUSIC PERFORMANCE. Annual Review of Psychology. https://doi.org/10.1146/annurev.psych.48.1.115

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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.