Literature DB >> 20881112

Linked control of syllable sequence and phonology in birdsong.

Melville J Wohlgemuth1, Samuel J Sober, Michael S Brainard.   

Abstract

The control of sequenced behaviors, including human speech, requires that the brain coordinate the production of discrete motor elements with their concatenation into complex patterns. In birdsong, another sequential vocal behavior, the acoustic structure (phonology) of individual song elements, or "syllables," must be coordinated with the sequencing of syllables into a song. However, it is unknown whether syllable phonology is independent of the sequence in which a syllable is produced. We quantified interactions between phonology and sequence in Bengalese finch song by examining both convergent syllables, which can be preceded by at least two different syllables and divergent syllables, which can be followed by at least two different syllables. Phonology differed significantly based on the identity of the preceding syllable for 97% of convergent syllables and differed significantly with the identity of the upcoming syllable for 92% of divergent syllables. Furthermore, sequence-dependent phonological differences extended at least two syllables away from the convergent or divergent syllable. To determine whether these phenomena reflect differences in central control, we analyzed premotor neural activity in the robust nucleus of the arcopallium (RA). Activity associated with a syllable varied significantly depending on the sequence in which the syllable was produced, suggesting that sequence-dependent variations in premotor activity contribute to sequence-dependent differences in phonology. Moreover, these data indicate that RA activity could contribute to the sequencing of syllables. Together, these results suggest that, rather than being controlled independently, the sequence and phonology of birdsong are intimately related, as is the case for human speech.

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Year:  2010        PMID: 20881112      PMCID: PMC2965410          DOI: 10.1523/JNEUROSCI.2690-10.2010

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  36 in total

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Authors:  M S Brainard; A J Doupe
Journal:  J Neurosci       Date:  2001-04-01       Impact factor: 6.167

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3.  An ultra-sparse code underlies the generation of neural sequences in a songbird.

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Journal:  Nature       Date:  2002-09-05       Impact factor: 49.962

Review 4.  Neural mechanisms of vocal sequence generation in the songbird.

Authors:  Michale S Fee; Alexay A Kozhevnikov; Richard H R Hahnloser
Journal:  Ann N Y Acad Sci       Date:  2004-06       Impact factor: 5.691

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Journal:  J Speech Hear Res       Date:  1968-12

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Journal:  J Acoust Soc Am       Date:  1966-01       Impact factor: 1.840

Review 9.  The Bengalese finch: a window on the behavioral neurobiology of birdsong syntax.

Authors:  Kazuo Okanoya
Journal:  Ann N Y Acad Sci       Date:  2004-06       Impact factor: 5.691

10.  An avian basal ganglia-forebrain circuit contributes differentially to syllable versus sequence variability of adult Bengalese finch song.

Authors:  Cara M Hampton; Jon T Sakata; Michael S Brainard
Journal:  J Neurophysiol       Date:  2009-04-08       Impact factor: 2.714

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  29 in total

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2.  Mapping Sub-Second Structure in Mouse Behavior.

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Review 3.  Advantages of comparative studies in songbirds to understand the neural basis of sensorimotor integration.

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

Authors:  Ryosuke O Tachibana; Takuya Koumura; Kazuo Okanoya
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2015-10-28       Impact factor: 1.836

7.  Vocal motor changes beyond the sensitive period for song plasticity.

Authors:  Logan S James; Jon T Sakata
Journal:  J Neurophysiol       Date:  2014-07-23       Impact factor: 2.714

8.  Control of spoken vowel acoustics and the influence of phonetic context in human speech sensorimotor cortex.

Authors:  Kristofer E Bouchard; Edward F Chang
Journal:  J Neurosci       Date:  2014-09-17       Impact factor: 6.167

9.  Vocal generalization depends on gesture identity and sequence.

Authors:  Lukas A Hoffmann; Samuel J Sober
Journal:  J Neurosci       Date:  2014-04-16       Impact factor: 6.167

10.  Discrete Circuits Support Generalized versus Context-Specific Vocal Learning in the Songbird.

Authors:  Lucas Y Tian; Michael S Brainard
Journal:  Neuron       Date:  2017-11-16       Impact factor: 17.173

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