Low dimensional dynamics in birdsong production

The way in which information about behavior is represented at different levels of the motor pathway, remains among the fundamental unresolved problems of motor coding and sensorimotor integration. Insight into this matter is essential for understanding complex learned behaviors such as speech or bir...

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Detalles Bibliográficos
Autores principales: Amador, A., Mindlin, G.B.
Formato: JOUR
Materias:
Colloquium
Birds
Codes (symbols)
Dynamical systems
Neurophysiology
Dynamical systems model
Low dimensional
Motor pathway
Physical model
Physiological parameters
Sensorimotor integration
Vocal structures
Physiological models
Acceso en línea:http://hdl.handle.net/20.500.12110/paper_14346028_v87_n12_p_Amador
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires
id todo:paper_14346028_v87_n12_p_Amador
record_format dspace
spelling todo:paper_14346028_v87_n12_p_Amador2023-10-03T16:14:35Z Low dimensional dynamics in birdsong production Amador, A. Mindlin, G.B. Colloquium Birds Codes (symbols) Dynamical systems Neurophysiology Colloquium Dynamical systems model Low dimensional Motor pathway Physical model Physiological parameters Sensorimotor integration Vocal structures Physiological models The way in which information about behavior is represented at different levels of the motor pathway, remains among the fundamental unresolved problems of motor coding and sensorimotor integration. Insight into this matter is essential for understanding complex learned behaviors such as speech or birdsong. A major challenge in motor coding has been to identify an appropriate framework for characterizing behavior. In this work we discuss a novel approach linking biomechanics and neurophysiology to explore motor control of songbirds. We present a model of song production based on gestures that can be related to physiological parameters that the birds can control. This physical model for the vocal structures allows a reduction in the dimensionality of the behavior, being a powerful approach for studying sensorimotor integration. Our results also show how dynamical systems models can provide insight into neurophysiological analysis of vocal motor control. In particular, our work challenges the actual understanding of how the motor pathway of the songbird systems works and proposes a novel perspective to study neural coding for song production. © 2014, EDP Sciences, SIF, Springer-Verlag Berlin Heidelberg. Fil:Amador, A. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_14346028_v87_n12_p_Amador
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Colloquium
Birds
Codes (symbols)
Dynamical systems
Neurophysiology
Colloquium
Dynamical systems model
Low dimensional
Motor pathway
Physical model
Physiological parameters
Sensorimotor integration
Vocal structures
Physiological models
spellingShingle Colloquium
Birds
Codes (symbols)
Dynamical systems
Neurophysiology
Colloquium
Dynamical systems model
Low dimensional
Motor pathway
Physical model
Physiological parameters
Sensorimotor integration
Vocal structures
Physiological models
Amador, A.
Mindlin, G.B.
Low dimensional dynamics in birdsong production
topic_facet Colloquium
Birds
Codes (symbols)
Dynamical systems
Neurophysiology
Colloquium
Dynamical systems model
Low dimensional
Motor pathway
Physical model
Physiological parameters
Sensorimotor integration
Vocal structures
Physiological models
description The way in which information about behavior is represented at different levels of the motor pathway, remains among the fundamental unresolved problems of motor coding and sensorimotor integration. Insight into this matter is essential for understanding complex learned behaviors such as speech or birdsong. A major challenge in motor coding has been to identify an appropriate framework for characterizing behavior. In this work we discuss a novel approach linking biomechanics and neurophysiology to explore motor control of songbirds. We present a model of song production based on gestures that can be related to physiological parameters that the birds can control. This physical model for the vocal structures allows a reduction in the dimensionality of the behavior, being a powerful approach for studying sensorimotor integration. Our results also show how dynamical systems models can provide insight into neurophysiological analysis of vocal motor control. In particular, our work challenges the actual understanding of how the motor pathway of the songbird systems works and proposes a novel perspective to study neural coding for song production. © 2014, EDP Sciences, SIF, Springer-Verlag Berlin Heidelberg.
format JOUR
author Amador, A.
Mindlin, G.B.
author_facet Amador, A.
Mindlin, G.B.
author_sort Amador, A.
title Low dimensional dynamics in birdsong production
title_short Low dimensional dynamics in birdsong production
title_full Low dimensional dynamics in birdsong production
title_fullStr Low dimensional dynamics in birdsong production
title_full_unstemmed Low dimensional dynamics in birdsong production
title_sort low dimensional dynamics in birdsong production
url http://hdl.handle.net/20.500.12110/paper_14346028_v87_n12_p_Amador
work_keys_str_mv AT amadora lowdimensionaldynamicsinbirdsongproduction
AT mindlingb lowdimensionaldynamicsinbirdsongproduction
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