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dc.contributor.author
Abarbanel, Henry D. I.
dc.contributor.author
Gibb, Leif
dc.contributor.author
Mindlin, Bernardo Gabriel
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dc.contributor.author
Talathi, Sachin
dc.date.available
2019-04-08T16:52:50Z
dc.date.issued
2004-12
dc.identifier.citation
Abarbanel, Henry D. I.; Gibb, Leif; Mindlin, Bernardo Gabriel; Talathi, Sachin; Mapping neural architectures onto acoustic features of birdsong; American Physiological Society; Journal of Neurophysiology; 92; 1; 12-2004; 96-110
dc.identifier.issn
0022-3077
dc.identifier.uri
http://hdl.handle.net/11336/73418
dc.description.abstract
The motor pathway responsible for the complex vocalizations of songbirds has been extensively characterized, both in terms of intrinsic and synaptic physiology in vitro and in terms of the spatiotemporal patterns of neural activity in vivo. However, the relationship between the neural architecture of the song motor pathway and the acoustic features of birdsong is not well understood. Using a computational model of the song motor pathway and the songbird vocal organ, we investigate the relationship between song production and the neural connectivity of nucleus HVc (used as a proper name) and the robust nucleus of the archistriatum (RA). Drawing on recent experimental observations, our neural model contains a population of sequentially bursting HVc neurons driving the activity of a population of RA neurons. An important focus of our investigations is the contribution of intrinsic circuitry within RA to the acoustic output of the model. We find that the inclusion of inhibitory interneurons in the model can substantially influence the features of song syllables, and we illustrate the potential for subharmonic behavior in RA in response to forcing by HVc neurons. Our results demonstrate the association of specific acoustic features with specific neural connectivities and support the view that intrinsic circuitry within RA may play a critical role in generating the features of birdsong.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
American Physiological Society
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dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject.classification
Astronomía
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dc.subject.classification
Ciencias Físicas
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dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
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dc.title
Mapping neural architectures onto acoustic features of birdsong
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2019-04-05T18:25:53Z
dc.journal.volume
92
dc.journal.number
1
dc.journal.pagination
96-110
dc.journal.pais
Estados Unidos
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dc.journal.ciudad
Bethesda
dc.description.fil
Fil: Abarbanel, Henry D. I.. University of California at San Diego; Estados Unidos
dc.description.fil
Fil: Gibb, Leif. University of California at San Diego; Estados Unidos
dc.description.fil
Fil: Mindlin, Bernardo Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Física de Buenos Aires; Argentina
dc.description.fil
Fil: Talathi, Sachin. University of California at San Diego; Estados Unidos
dc.journal.title
Journal of Neurophysiology
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dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1152/jn.01146.2003
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