Literature DB >> 33296616

Variable but not random: temporal pattern coding in a songbird brain area necessary for song modification.

S E Palmer1, B D Wright1, A J Doupe1, M H Kao2.   

Abstract

Practice of a complex motor gesture involves motor exploration to attain a better match to target, but little is known about the neural code for such exploration. We examine spiking in a premotor area of the songbird brain critical for song modification and quantify correlations between spiking and time in the motor sequence. While isolated spikes code for time in song during performance of song to a female bird, extended strings of spiking and silence, particularly bursts, code for time in song during undirected (solo) singing, or "practice." Bursts code for particular times in song with more information than individual spikes, and this spike-spike synergy is significantly higher during undirected singing. The observed pattern information cannot be accounted for by a Poisson model with a matched time-varying rate, indicating that the precise timing of spikes in both bursts in undirected singing and isolated spikes in directed singing code for song with a temporal code. Temporal coding during practice supports the hypothesis that lateral magnocellular nucleus of the anterior nidopallium neurons actively guide song modification at local instances in time.NEW & NOTEWORTHY This paper shows that bursts of spikes in the songbird brain during practice carry information about the output motor pattern. The brain's code for song changes with social context, in performance versus practice. Synergistic combinations of spiking and silence code for time in the bird's song. This is one of the first uses of information theory to quantify neural information about a motor output. This activity may guide changes to the song.

Entities:  

Keywords:  birdsong; information theory; motor performance; motor practice; temporal coding

Mesh:

Year:  2020        PMID: 33296616      PMCID: PMC7948135          DOI: 10.1152/jn.00034.2019

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  76 in total

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Journal:  Annu Rev Neurosci       Date:  2005       Impact factor: 12.449

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Authors:  Jon T Sakata; Cara M Hampton; Michael S Brainard
Journal:  J Neurophysiol       Date:  2008-01-23       Impact factor: 2.714

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Journal:  Science       Date:  1984-05-25       Impact factor: 47.728

8.  Recurrent interactions between the input and output of a songbird cortico-basal ganglia pathway are implicated in vocal sequence variability.

Authors:  Kosuke Hamaguchi; Richard Mooney
Journal:  J Neurosci       Date:  2012-08-22       Impact factor: 6.167

9.  Justifying and generalizing contrastive divergence.

Authors:  Yoshua Bengio; Olivier Delalleau
Journal:  Neural Comput       Date:  2009-06       Impact factor: 2.026

10.  Elemental gesture dynamics are encoded by song premotor cortical neurons.

Authors:  Ana Amador; Yonatan Sanz Perl; Gabriel B Mindlin; Daniel Margoliash
Journal:  Nature       Date:  2013-02-27       Impact factor: 49.962

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