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dc.contributor.author
Alonso, Rodrigo
dc.contributor.author
Trevisan, Marcos Alberto
dc.contributor.author
Amador, Ana
dc.contributor.author
Goller, Franz
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Mindlin, Bernardo Gabriel
dc.date.available
2018-04-26T12:48:24Z
dc.date.issued
2015-03
dc.identifier.citation
Alonso, Rodrigo; Trevisan, Marcos Alberto; Amador, Ana; Goller, Franz; Mindlin, Bernardo Gabriel; A circular model for song motor control in Serinus canaria; Frontiers Research Foundation; Frontiers in Computational Neuroscience; 9; 3-2015; 1-9
dc.identifier.issn
1662-5188
dc.identifier.uri
http://hdl.handle.net/11336/43506
dc.description.abstract
Song production in songbirds is controlled by a network of nuclei distributed across several brain regions, which drives respiratory and vocal motor systems to generate sound. We built a model for birdsong production, whose variables are the average activities of different neural populations within these nuclei of the song system. We focus on the predictions of respiratory patterns of song, because these can be easily measured and therefore provide a validation for the model. We test the hypothesis that it is possible to construct a model in which (1) the activity of an expiratory related (ER) neural population fits the observed pressure patterns used by canaries during singing, and (2) a higher forebrain neural population, HVC, is sparsely active, simultaneously with significant motor instances of the pressure patterns. We show that in order to achieve these two requirements, the ER neural population needs to receive two inputs: a direct one, and its copy after being processed by other areas of the song system. The model is capable of reproducing the measured respiratory patterns and makes specific predictions on the timing of HVC activity during their production. These results suggest that vocal production is controlled by a circular network rather than by a simple top-down architecture.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Frontiers Research Foundation
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Nonlinear Dynamics
dc.subject
Rate Models
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Birdsong
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Song System
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Motor Control
dc.subject.classification
Neurociencias
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Medicina Básica
dc.subject.classification
CIENCIAS MÉDICAS Y DE LA SALUD
dc.title
A circular model for song motor control in Serinus canaria
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2018-04-03T18:48:22Z
dc.journal.volume
9
dc.journal.pagination
1-9
dc.journal.pais
Suiza
dc.journal.ciudad
Lausanne
dc.description.fil
Fil: Alonso, Rodrigo. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física. Laboratorio de Sistemas Dinámicos; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.description.fil
Fil: Trevisan, Marcos Alberto. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física. Laboratorio de Sistemas Dinámicos; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.description.fil
Fil: Amador, Ana. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física. Laboratorio de Sistemas Dinámicos; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.description.fil
Fil: Goller, Franz. University Of Utah. Department Of Biology; Estados Unidos
dc.description.fil
Fil: Mindlin, Bernardo Gabriel. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física. Laboratorio de Sistemas Dinámicos; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.journal.title
Frontiers in Computational Neuroscience
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.frontiersin.org/articles/10.3389/fncom.2015.00041/full
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.3389/fncom.2015.00041


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