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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Autores principales: Dina Lipkind, Anja T. Zai, Alexander Hanuschkin, Gary F. Marcus, Ofer Tchernichovski, Richard H. R. Hahnloser
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2017
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Acceso en línea:https://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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AT ofertchernichovski songbirdsworkaroundcomputationalcomplexitybylearningsongvocabularyindependentlyofsequence
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