Literature DB >> 26512015

Variability in the temporal parameters in the song of the Bengalese finch (Lonchura striata var. domestica).

Ryosuke O Tachibana1,2, Takuya Koumura1,2, Kazuo Okanoya3,4.   

Abstract

Birdsong provides a unique model for studying the control mechanisms of complex sequential behaviors. The present study aimed to demonstrate that multiple factors affect temporal control in the song production. We analyzed the song of Bengalese finches in various time ranges to address factors that affected the duration of acoustic elements (notes) and silent intervals (gaps). The gaps showed more jitter across song renditions than did notes. Gaps had longer duration in branching points of song sequence than in stereotypic transitions, and the duration of a gap was correlated with the duration of the note that preceded the gap. When looking at the variation among song renditions, we found notable factors in three time ranges: within-day drift, within-bout changes, and local jitter. Note durations shortened over time from morning to evening. Within each song bout note durations lengthened as singing progressed, while gap durations lengthened only during the late part of song bout. Further analysis after removing these drift factors confirmed that the jitter remained in local song sequences. These results suggest distinct sources of temporal variability exist at multiple levels on the basis of this note-gap relationship, and that song comprised a mixture of these sources.

Entities:  

Keywords:  Gaps; Inter-onset interval; Notes; Temporal variability; Transition probability

Mesh:

Year:  2015        PMID: 26512015     DOI: 10.1007/s00359-015-1046-z

Source DB:  PubMed          Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol        ISSN: 0340-7594            Impact factor:   1.836


  35 in total

1.  Performance variability enables adaptive plasticity of 'crystallized' adult birdsong.

Authors:  Evren C Tumer; Michael S Brainard
Journal:  Nature       Date:  2007-12-20       Impact factor: 49.962

2.  A comparative study of the behavioral deficits following lesions of various parts of the zebra finch song system: implications for vocal learning.

Authors:  C Scharff; F Nottebohm
Journal:  J Neurosci       Date:  1991-09       Impact factor: 6.167

3.  Perceptual chunking in the self-produced songs of Bengalese finches (Lonchura striata var. domestica).

Authors:  Rie Suge; Kazuo Okanoya
Journal:  Anim Cogn       Date:  2009-12-29       Impact factor: 3.084

4.  A basal ganglia-forebrain circuit in the songbird biases motor output to avoid vocal errors.

Authors:  Aaron S Andalman; Michale S Fee
Journal:  Proc Natl Acad Sci U S A       Date:  2009-07-13       Impact factor: 11.205

Review 5.  Variability in action: Contributions of a songbird cortical-basal ganglia circuit to vocal motor learning and control.

Authors:  S C Woolley; M H Kao
Journal:  Neuroscience       Date:  2014-10-18       Impact factor: 3.590

6.  Variable sequencing is actively maintained in a well learned motor skill.

Authors:  Timothy L Warren; Jonathan D Charlesworth; Evren C Tumer; Michael S Brainard
Journal:  J Neurosci       Date:  2012-10-31       Impact factor: 6.167

7.  Real-time contributions of auditory feedback to avian vocal motor control.

Authors:  Jon T Sakata; Michael S Brainard
Journal:  J Neurosci       Date:  2006-09-20       Impact factor: 6.167

8.  Template-based automatic recognition of birdsong syllables from continuous recordings.

Authors:  S E Anderson; A S Dave; D Margoliash
Journal:  J Acoust Soc Am       Date:  1996-08       Impact factor: 1.840

9.  Song motor control organizes acoustic patterns on two levels in Bengalese finches (Lonchura striata var. domestica).

Authors:  Yoshimasa Seki; Kenta Suzuki; Miki Takahasi; Kazuo Okanoya
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2008-04-03       Impact factor: 1.836

10.  A generative model for measuring latent timing structure in motor sequences.

Authors:  Christopher M Glaze; Todd W Troyer
Journal:  PLoS One       Date:  2012-07-16       Impact factor: 3.240

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  6 in total

Review 1.  Advantages of comparative studies in songbirds to understand the neural basis of sensorimotor integration.

Authors:  Karagh Murphy; Logan S James; Jon T Sakata; Jonathan F Prather
Journal:  J Neurophysiol       Date:  2017-03-22       Impact factor: 2.714

2.  Timing during transitions in Bengalese finch song: implications for motor sequencing.

Authors:  Todd W Troyer; Michael S Brainard; Kristofer E Bouchard
Journal:  J Neurophysiol       Date:  2017-06-21       Impact factor: 2.714

3.  Manipulations of inhibition in cortical circuitry differentially affect spectral and temporal features of Bengalese finch song.

Authors:  Gaurav R Isola; Anca Vochin; Jon T Sakata
Journal:  J Neurophysiol       Date:  2020-01-22       Impact factor: 2.714

4.  Sex differences in the development and expression of a preference for familiar vocal signals in songbirds.

Authors:  Tomoko G Fujii; Maki Ikebuchi; Kazuo Okanoya
Journal:  PLoS One       Date:  2021-01-20       Impact factor: 3.240

5.  Measuring context dependency in birdsong using artificial neural networks.

Authors:  Takashi Morita; Hiroki Koda; Kazuo Okanoya; Ryosuke O Tachibana
Journal:  PLoS Comput Biol       Date:  2021-12-28       Impact factor: 4.475

6.  Automatic Recognition of Element Classes and Boundaries in the Birdsong with Variable Sequences.

Authors:  Takuya Koumura; Kazuo Okanoya
Journal:  PLoS One       Date:  2016-07-21       Impact factor: 3.240

  6 in total

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