Literature DB >> 29122641

Regularities in zebra finch song beyond the repeated motif.

Julia Hyland Bruno1, Ofer Tchernichovski2.   

Abstract

The proliferation of birdsong research into the neural mechanisms of vocal learning is indebted to the remarkable stereotypy of the zebra finch's song motif. Motifs are composed of several syllables, which birds learn to produce in a fixed order. But at a higher level of organization-the bout-zebra finch song is no longer stereotyped. Song bouts include several repetitions of the motif, which are often linked by a variable number of short "connector" vocalizations. In this conceptual methods paper, we show that combinatorial analysis alone yields an incomplete description of this bout-level structure. In contrast, studying birdsong as a time-varying analog signal can reveal patterns of flexibility in the rhythmic organization of song bouts. Visualizing large song-samples in sorted raster plots shows that motifs are strung together via two distinct categories of connections: tight or loose. Loose connections allow considerable timing variation across renditions. Even among co-tutored birds that acquired similar motifs, we observe strong individual variability in rhythms and temporal plasticity of song bouts. These findings suggest that vocal flexibility could potentially allow individuals to express a variety of behavioral states through their songs, even in species that sing only a single stereotyped motif.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Coordination; Songbirds; Stereotyped behavior; Vocal learning; Vocalization

Mesh:

Year:  2017        PMID: 29122641     DOI: 10.1016/j.beproc.2017.11.001

Source DB:  PubMed          Journal:  Behav Processes        ISSN: 0376-6357            Impact factor:   1.777


  14 in total

Review 1.  Sound sequences in birdsong: how much do birds really care?

Authors:  Adam R Fishbein; William J Idsardi; Gregory F Ball; Robert J Dooling
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2019-11-18       Impact factor: 6.237

Review 2.  Toward a Computational Neuroethology of Vocal Communication: From Bioacoustics to Neurophysiology, Emerging Tools and Future Directions.

Authors:  Tim Sainburg; Timothy Q Gentner
Journal:  Front Behav Neurosci       Date:  2021-12-20       Impact factor: 3.558

3.  Linking the genomic signatures of human beat synchronization and learned song in birds.

Authors:  Reyna L Gordon; Andrea Ravignani; Julia Hyland Bruno; Cristina M Robinson; Alyssa Scartozzi; Rebecca Embalabala; Maria Niarchou; Nancy J Cox; Nicole Creanza
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2021-08-23       Impact factor: 6.671

Review 4.  Learning in the time of COVID: insights from the zebra finch - a social vocal-learner.

Authors:  Elizabeth K Cooke; Stephanie A White
Journal:  Curr Opin Neurobiol       Date:  2021-02-08       Impact factor: 7.070

5.  Parallels in the sequential organization of birdsong and human speech.

Authors:  Tim Sainburg; Brad Theilman; Marvin Thielk; Timothy Q Gentner
Journal:  Nat Commun       Date:  2019-08-12       Impact factor: 14.919

Review 6.  Rhythm in speech and animal vocalizations: a cross-species perspective.

Authors:  Andrea Ravignani; Simone Dalla Bella; Simone Falk; Christopher T Kello; Florencia Noriega; Sonja A Kotz
Journal:  Ann N Y Acad Sci       Date:  2019-06-25       Impact factor: 5.691

7.  Sequential organization of birdsong: relationships with individual quality and fitness.

Authors:  Sándor Zsebők; Gábor Herczeg; Miklós Laczi; Gergely Nagy; Éva Vaskuti; Rita Hargitai; Gergely Hegyi; Márton Herényi; Gábor Markó; Balázs Rosivall; Eszter Szász; Eszter Szöllősi; János Török; László Zsolt Garamszegi
Journal:  Behav Ecol       Date:  2020-10-30       Impact factor: 2.671

8.  Evidence for cumulative cultural evolution in bird song.

Authors:  Heather Williams; Robert F Lachlan
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2021-12-13       Impact factor: 6.237

9.  Multifractal analysis reveals music-like dynamic structure in songbird rhythms.

Authors:  Tina C Roeske; Damian Kelty-Stephen; Sebastian Wallot
Journal:  Sci Rep       Date:  2018-03-15       Impact factor: 4.379

10.  Comparison of methods for rhythm analysis of complex animals' acoustic signals.

Authors:  Lara S Burchardt; Mirjam Knörnschild
Journal:  PLoS Comput Biol       Date:  2020-04-08       Impact factor: 4.475

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