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dc.contributor.author
Brown, Daril E.
dc.contributor.author
Chavez, Jairo I.
dc.contributor.author
Nguyen, Derek H.
dc.contributor.author
Kadwory, Adam
dc.contributor.author
Voytek, Bradley
dc.contributor.author
Arneodo, Ezequiel Matías
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dc.contributor.author
Gentner, Timothy Q.
dc.contributor.author
Gilja, Vikash
dc.date.available
2022-10-25T13:18:02Z
dc.date.issued
2021-09
dc.identifier.citation
Brown, Daril E.; Chavez, Jairo I.; Nguyen, Derek H.; Kadwory, Adam; Voytek, Bradley; et al.; Local field potentials in a pre-motor region predict learned vocal sequences; Plos; PLOS Computational Biology; 17; 9; 9-2021; 1-38
dc.identifier.uri
http://hdl.handle.net/11336/174758
dc.description.abstract
Neuronal activity within the premotor region HVC is tightly synchronized to, and crucial for, the articulate production of learned song in birds. Characterizations of this neural activity detail patterns of sequential bursting in small, carefully identified subsets of neurons in the HVC population. The dynamics of HVC are well described by these characterizations, but have not been verified beyond this scale of measurement. There is a rich history of using local field potentials (LFP) to extract information about behavior that extends beyond the contribution of individual cells. These signals have the advantage of being stable over longer periods of time, and they have been used to study and decode human speech and other complex motor behaviors. Here we characterize LFP signals presumptively from the HVC of freely behaving male zebra finches during song production to determine if population activity may yield similar insights into the mechanisms underlying complex motor-vocal behavior. Following an initial observation that structured changes in the LFP were distinct to all vocalizations during song, we show that it is possible to extract time-varying features from multiple frequency bands to decode the identity of specific vocalization elements (syllables) and to predict their temporal onsets within the motif. This demonstrates the utility of LFP for studying vocal behavior in songbirds. Surprisingly, the time frequency structure of HVC LFP is qualitatively similar to well-established oscillations found in both human and non-human mammalian motor areas. This physiological similarity, despite distinct anatomical structures, may give insight into common computational principles for learning and/or generating complex motor-vocal behaviors.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Plos
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Neuroscience
dc.subject
Birdsong
dc.subject
Brain Machine Interfaces
dc.subject.classification
Otras Ciencias Físicas
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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
Local field potentials in a pre-motor region predict learned vocal sequences
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2022-09-20T15:47:05Z
dc.identifier.eissn
1553-7358
dc.journal.volume
17
dc.journal.number
9
dc.journal.pagination
1-38
dc.journal.pais
Estados Unidos
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dc.description.fil
Fil: Brown, Daril E.. University of California at San Diego; Estados Unidos
dc.description.fil
Fil: Chavez, Jairo I.. University of California at San Diego; Estados Unidos
dc.description.fil
Fil: Nguyen, Derek H.. University of California at San Diego; Estados Unidos
dc.description.fil
Fil: Kadwory, Adam. University of California at San Diego; Estados Unidos
dc.description.fil
Fil: Voytek, Bradley. University of California at San Diego; Estados Unidos
dc.description.fil
Fil: Arneodo, Ezequiel Matías. University of California at San Diego; Estados Unidos. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Física La Plata. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Instituto de Física La Plata; Argentina
dc.description.fil
Fil: Gentner, Timothy Q.. University of California at San Diego; Estados Unidos
dc.description.fil
Fil: Gilja, Vikash. University of California at San Diego; Estados Unidos
dc.journal.title
PLOS Computational Biology
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1371/journal.pcbi.1008100
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1008100
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