Songbirds work around computational complexity by learning song vocabulary independently of sequence

Efficiently imitating a complex motor sequence such as birdsong is a computationally intensive problem. Here the authors show that young zebra finches learn new songs using a non-optimal strategy that prioritizes efficient learning of syllable vocabulary over syllable sequence.

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Auteurs principaux:	Dina Lipkind, Anja T. Zai, Alexander Hanuschkin, Gary F. Marcus, Ofer Tchernichovski, Richard H. R. Hahnloser
Format:	article
Langue:	EN
Publié:	Nature Portfolio 2017
Sujets:	Science Q
Accès en ligne:	https://doaj.org/article/cb6af023846a47c181f97e4b8dc0dc41
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id	oai:doaj.org-article:cb6af023846a47c181f97e4b8dc0dc41
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spelling	oai:doaj.org-article:cb6af023846a47c181f97e4b8dc0dc412021-12-02T17:06:00ZSongbirds work around computational complexity by learning song vocabulary independently of sequence10.1038/s41467-017-01436-02041-1723https://doaj.org/article/cb6af023846a47c181f97e4b8dc0dc412017-11-01T00:00:00Zhttps://doi.org/10.1038/s41467-017-01436-0https://doaj.org/toc/2041-1723Efficiently imitating a complex motor sequence such as birdsong is a computationally intensive problem. Here the authors show that young zebra finches learn new songs using a non-optimal strategy that prioritizes efficient learning of syllable vocabulary over syllable sequence.Dina LipkindAnja T. ZaiAlexander HanuschkinGary F. MarcusOfer TchernichovskiRichard H. R. HahnloserNature PortfolioarticleScienceQENNature Communications, Vol 8, Iss 1, Pp 1-11 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Dina Lipkind Anja T. Zai Alexander Hanuschkin Gary F. Marcus Ofer Tchernichovski Richard H. R. Hahnloser Songbirds work around computational complexity by learning song vocabulary independently of sequence
description	Efficiently imitating a complex motor sequence such as birdsong is a computationally intensive problem. Here the authors show that young zebra finches learn new songs using a non-optimal strategy that prioritizes efficient learning of syllable vocabulary over syllable sequence.
format	article
author	Dina Lipkind Anja T. Zai Alexander Hanuschkin Gary F. Marcus Ofer Tchernichovski Richard H. R. Hahnloser
author_facet	Dina Lipkind Anja T. Zai Alexander Hanuschkin Gary F. Marcus Ofer Tchernichovski Richard H. R. Hahnloser
author_sort	Dina Lipkind
title	Songbirds work around computational complexity by learning song vocabulary independently of sequence
title_short	Songbirds work around computational complexity by learning song vocabulary independently of sequence
title_full	Songbirds work around computational complexity by learning song vocabulary independently of sequence
title_fullStr	Songbirds work around computational complexity by learning song vocabulary independently of sequence
title_full_unstemmed	Songbirds work around computational complexity by learning song vocabulary independently of sequence
title_sort	songbirds work around computational complexity by learning song vocabulary independently of sequence
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/cb6af023846a47c181f97e4b8dc0dc41
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Songbirds work around computational complexity by learning song vocabulary independently of sequence

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