Literature DB >> 18097411

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

Evren C Tumer1, Michael S Brainard.   

Abstract

Significant trial-by-trial variation persists even in the most practiced skills. One prevalent view is that such variation is simply 'noise' that the nervous system is unable to control or that remains below threshold for behavioural relevance. An alternative hypothesis is that such variation enables trial-and-error learning, in which the motor system generates variation and differentially retains behaviours that give rise to better outcomes. Here we test the latter possibility for adult bengalese finch song. Adult birdsong is a complex, learned motor skill that is produced in a highly stereotyped fashion from one rendition to the next. Nevertheless, there is subtle trial-by-trial variation even in stable, 'crystallized' adult song. We used a computerized system to monitor small natural variations in the pitch of targeted song elements and deliver real-time auditory disruption to a subset of those variations. Birds rapidly shifted the pitch of their vocalizations in an adaptive fashion to avoid disruption. These vocal changes were precisely restricted to the targeted features of song. Hence, birds were able to learn effectively by associating small variations in their vocal behaviour with differential outcomes. Such a process could help to maintain stable, learned song despite changes to the vocal control system arising from ageing or injury. More generally, our results suggest that residual variability in well learned skills is not entirely noise but rather reflects meaningful motor exploration that can support continuous learning and optimization of performance.

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Year:  2007        PMID: 18097411     DOI: 10.1038/nature06390

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   49.962


  178 in total

1.  Smooth operator: avoidance of subharmonic bifurcations through mechanical mechanisms simplifies song motor control in adult zebra finches.

Authors:  Coen P H Elemans; Rodrigo Laje; Gabriel B Mindlin; Franz Goller
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2.  Two distinct modes of forebrain circuit dynamics underlie temporal patterning in the vocalizations of young songbirds.

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Journal:  J Neurosci       Date:  2011-11-09       Impact factor: 6.167

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Review 4.  Integrating perspectives on vocal performance and consistency.

Authors:  Jon T Sakata; Sandra L Vehrencamp
Journal:  J Exp Biol       Date:  2012-01-15       Impact factor: 3.312

Review 5.  The role of auditory feedback in vocal learning and maintenance.

Authors:  Katherine Tschida; Richard Mooney
Journal:  Curr Opin Neurobiol       Date:  2011-12-01       Impact factor: 6.627

6.  Premotor synaptic plasticity limited to the critical period for song learning.

Authors:  Max Sizemore; David J Perkel
Journal:  Proc Natl Acad Sci U S A       Date:  2011-10-03       Impact factor: 11.205

7.  Experimental evidence for real-time song frequency shift in response to urban noise in a passerine bird.

Authors:  Eira Bermúdez-Cuamatzin; Alejandro A Ríos-Chelén; Diego Gil; Constantino Macías Garcia
Journal:  Biol Lett       Date:  2010-07-07       Impact factor: 3.703

8.  It's Not (Only) the Mean that Matters: Variability, Noise and Exploration in Skill Learning.

Authors:  Dagmar Sternad
Journal:  Curr Opin Behav Sci       Date:  2018-03-01

9.  An open source, wireless capable miniature microscope system.

Authors:  William A Liberti; L Nathan Perkins; Daniel P Leman; Timothy J Gardner
Journal:  J Neural Eng       Date:  2017-08       Impact factor: 5.379

10.  A Basal Ganglia Circuit Sufficient to Guide Birdsong Learning.

Authors:  Lei Xiao; Gaurav Chattree; Francisco Garcia Oscos; Mou Cao; Matthew J Wanat; Todd F Roberts
Journal:  Neuron       Date:  2018-03-15       Impact factor: 17.173

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