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Long-range Order in Canary Song

Overview of attention for article published in PLoS Computational Biology, May 2013
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Title
Long-range Order in Canary Song
Published in
PLoS Computational Biology, May 2013
DOI 10.1371/journal.pcbi.1003052
Pubmed ID
Authors

Jeffrey E. Markowitz, Elizabeth Ivie, Laura Kligler, Timothy J. Gardner

Abstract

Bird songs range in form from the simple notes of a Chipping Sparrow to the rich performance of the nightingale. Non-adjacent correlations can be found in the syntax of some birdsongs, indicating that the choice of what to sing next is determined not only by the current syllable, but also by previous syllables sung. Here we examine the song of the domesticated canary, a complex singer whose song consists of syllables, grouped into phrases that are arranged in flexible sequences. Phrases are defined by a fundamental time-scale that is independent of the underlying syllable duration. We show that the ordering of phrases is governed by long-range rules: the choice of what phrase to sing next in a given context depends on the history of the song, and for some syllables, highly specific rules produce correlations in song over timescales of up to ten seconds. The neural basis of these long-range correlations may provide insight into how complex behaviors are assembled from more elementary, stereotyped modules.

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The data shown below were compiled from readership statistics for 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 3%
Portugal 1 <1%
France 1 <1%
Italy 1 <1%
Unknown 100 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 37 35%
Researcher 16 15%
Student > Master 16 15%
Professor > Associate Professor 8 8%
Professor 6 6%
Other 11 10%
Unknown 12 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 36 34%
Neuroscience 24 23%
Computer Science 5 5%
Engineering 5 5%
Physics and Astronomy 4 4%
Other 14 13%
Unknown 18 17%