Literature DB >> 15313784

Studying the song development process: rationale and methods.

O Tchernichovski1, T J Lints, S Deregnaucourt, A Cimenser, P P Mitra.   

Abstract

Current technology makes it possible to measure song development continuously throughout a vocal ontogeny. Here we briefly review some of the problems involved and describe experimental and analytic methods for automatic tracing of vocal changes. These techniques make it possible to characterize the specific methods the bird uses to imitate sounds: an automated song recognition procedure allows continuous song recording, followed by automated sound analysis that partition the song to syllables, extract acoustic features of each syllable, and summarize the entire song development process over time into a single database. The entire song development is then presentable in the form of images or movie clips. These Dynamic Vocal Development (DVD) maps show how each syllable type emerges, and how the bird manipulates syllable features to eventually approximate the model song. Most of the experimental and analytic methods described here have been organized into a software package, which also allows combined neural and sound recording to monitor changes in brain activity as vocal learning occurs. The software is available at http://ofer.sci.ccny.cuny.edu.

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Year:  2004        PMID: 15313784     DOI: 10.1196/annals.1298.031

Source DB:  PubMed          Journal:  Ann N Y Acad Sci        ISSN: 0077-8923            Impact factor:   5.691


  32 in total

1.  Two distinct modes of forebrain circuit dynamics underlie temporal patterning in the vocalizations of young songbirds.

Authors:  Dmitriy Aronov; Lena Veit; Jesse H Goldberg; Michale S Fee
Journal:  J Neurosci       Date:  2011-11-09       Impact factor: 6.167

2.  Role of the midbrain dopaminergic system in modulation of vocal brain activation by social context.

Authors:  Erina Hara; Lubica Kubikova; Neal A Hessler; Erich D Jarvis
Journal:  Eur J Neurosci       Date:  2007-06       Impact factor: 3.386

3.  The pallial basal ganglia pathway modulates the behaviorally driven gene expression of the motor pathway.

Authors:  Lubica Kubikova; Elena A Turner; Erich D Jarvis
Journal:  Eur J Neurosci       Date:  2007-04       Impact factor: 3.386

4.  Learning to breathe and sing: development of respiratory-vocal coordination in young songbirds.

Authors:  Lena Veit; Dmitriy Aronov; Michale S Fee
Journal:  J Neurophysiol       Date:  2011-06-22       Impact factor: 2.714

Review 5.  Quantification of developmental birdsong learning from the subsyllabic scale to cultural evolution.

Authors:  Dina Lipkind; Ofer Tchernichovski
Journal:  Proc Natl Acad Sci U S A       Date:  2011-03-21       Impact factor: 11.205

6.  Vocal babbling in songbirds requires the basal ganglia-recipient motor thalamus but not the basal ganglia.

Authors:  Jesse H Goldberg; Michale S Fee
Journal:  J Neurophysiol       Date:  2011-03-23       Impact factor: 2.714

7.  Vocal learning is constrained by the statistics of sensorimotor experience.

Authors:  Samuel J Sober; Michael S Brainard
Journal:  Proc Natl Acad Sci U S A       Date:  2012-12-03       Impact factor: 11.205

Review 8.  Sleep, off-line processing, and vocal learning.

Authors:  Daniel Margoliash; Marc F Schmidt
Journal:  Brain Lang       Date:  2009-11-11       Impact factor: 2.381

9.  Interspecific hybridization as a tool to understand vocal divergence: the example of crowing in quail (Genus Coturnix).

Authors:  Sébastien Derégnaucourt
Journal:  PLoS One       Date:  2010-02-26       Impact factor: 3.240

10.  Developmental stress affects song learning but not song complexity and vocal amplitude in zebra finches.

Authors:  Henrik Brumm; Sue Anne Zollinger; Peter J B Slater
Journal:  Behav Ecol Sociobiol       Date:  2009-03-24       Impact factor: 2.980

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