YEARS

2002-2005

AUTHORS

Todd W Troyer

TITLE

Fine-grained analysis of vocal learning

ABSTRACT

DESCRIPTION (provided by applicant): The combination of an ethologically important, stereotyped behavior and specialized anatomy make avian song learning an ideal system in which to study the neural basis of motor learning. Auditory feedback from a bird's own vocal output is crucial for song acquisition, and song learning shares many important similarities with human speech learning. Furthermore, basal ganglia circuits that play an crucial role in song learning contribute during motor learning in mammals and have been implicated in human motor disorders such as Parkinson's disease. A database of songs will be constructed by recording from a large number of developing songbirds. All vocalizations produced during the period of song learning will be recorded, enabling theexamination of a complex learned behavior with unparalleled detail and completeness. Advanced statistical techniques will be used to analyze the detailed time course of song development, focusing on possible interactions between the development of individual song "syllables," song sequence, and song rhythm. A solid behavioral database will facilitate the interpretation of a wide range of experiments in the field, and will be used to develop more comprehensive models of song learning. By clarifying the principles governing vocal learning in songbirds, these models will yield insight into fundamental questions related to motor learning in humans.

FUNDED PUBLICATIONS

  • Development of temporal structure in zebra finch song.
  • Temporal structure in zebra finch song: implications for motor coding.
  • A generative model for measuring latent timing structure in motor sequences.
  • Behavioral measurements of a temporally precise motor code for birdsong.
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    21 TRIPLES      17 PREDICATES      22 URIs      9 LITERALS

    Subject Predicate Object
    1 grants:b317c76ed04bf05788c8488e85ef457a sg:abstract DESCRIPTION (provided by applicant): The combination of an ethologically important, stereotyped behavior and specialized anatomy make avian song learning an ideal system in which to study the neural basis of motor learning. Auditory feedback from a bird's own vocal output is crucial for song acquisition, and song learning shares many important similarities with human speech learning. Furthermore, basal ganglia circuits that play an crucial role in song learning contribute during motor learning in mammals and have been implicated in human motor disorders such as Parkinson's disease. A database of songs will be constructed by recording from a large number of developing songbirds. All vocalizations produced during the period of song learning will be recorded, enabling theexamination of a complex learned behavior with unparalleled detail and completeness. Advanced statistical techniques will be used to analyze the detailed time course of song development, focusing on possible interactions between the development of individual song "syllables," song sequence, and song rhythm. A solid behavioral database will facilitate the interpretation of a wide range of experiments in the field, and will be used to develop more comprehensive models of song learning. By clarifying the principles governing vocal learning in songbirds, these models will yield insight into fundamental questions related to motor learning in humans.
    2 sg:endYear 2005
    3 sg:fundingAmount 281706.0
    4 sg:fundingCurrency USD
    5 sg:hasContribution contributions:f7c5652b37545e5900baa21a7abafafc
    6 sg:hasFieldOfResearchCode anzsrc-for:17
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    8 sg:hasFundedPublication articles:303c3f7578795ed81dddf1e45aeee383
    9 articles:68a052b520cbf0030fe58486c71e8d0f
    10 articles:addcacbe3f79f7e3c640f8d935e31da5
    11 articles:c8b9b8c3784eb7cecfd5211d79612ebd
    12 sg:hasFundingOrganization grid-institutes:grid.416868.5
    13 sg:hasRecipientOrganization grid-institutes:grid.164295.d
    14 sg:language English
    15 sg:license http://scigraph.springernature.com/explorer/license/
    16 sg:scigraphId b317c76ed04bf05788c8488e85ef457a
    17 sg:startYear 2002
    18 sg:title Fine-grained analysis of vocal learning
    19 sg:webpage http://projectreporter.nih.gov/project_info_description.cfm?aid=6660365
    20 rdf:type sg:Grant
    21 rdfs:label Grant: Fine-grained analysis of vocal learning
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