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Evidence for Shared Cognitive Processing of Pitch in Music and Language

Overview of attention for article published in PLOS ONE, August 2013
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Title
Evidence for Shared Cognitive Processing of Pitch in Music and Language
Published in
PLOS ONE, August 2013
DOI 10.1371/journal.pone.0073372
Pubmed ID
Authors

Tyler K. Perrachione, Evelina G. Fedorenko, Louis Vinke, Edward Gibson, Laura C. Dilley

Abstract

Language and music epitomize the complex representational and computational capacities of the human mind. Strikingly similar in their structural and expressive features, a longstanding question is whether the perceptual and cognitive mechanisms underlying these abilities are shared or distinct--either from each other or from other mental processes. One prominent feature shared between language and music is signal encoding using pitch, conveying pragmatics and semantics in language and melody in music. We investigated how pitch processing is shared between language and music by measuring consistency in individual differences in pitch perception across language, music, and three control conditions intended to assess basic sensory and domain-general cognitive processes. Individuals' pitch perception abilities in language and music were most strongly related, even after accounting for performance in all control conditions. These results provide behavioral evidence, based on patterns of individual differences, that is consistent with the hypothesis that cognitive mechanisms for pitch processing may be shared between language and music.

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Mendeley readers

The data shown below were compiled from readership statistics for 139 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 3%
Germany 3 2%
Netherlands 1 <1%
France 1 <1%
Colombia 1 <1%
Spain 1 <1%
Norway 1 <1%
Japan 1 <1%
Luxembourg 1 <1%
Other 0 0%
Unknown 125 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 43 31%
Student > Master 23 17%
Researcher 17 12%
Student > Bachelor 12 9%
Student > Postgraduate 8 6%
Other 22 16%
Unknown 14 10%
Readers by discipline Count As %
Psychology 48 35%
Linguistics 21 15%
Neuroscience 10 7%
Arts and Humanities 10 7%
Agricultural and Biological Sciences 8 6%
Other 21 15%
Unknown 21 15%