Nonlinear model predicts diverse respiratory patterns of birdsong
A central aspect of the motor control of birdsong production is the capacity to generate diverse respiratory rhythms, which determine the coarse temporal pattern of song. The neural mechanisms that underlie this diversity of respiratory gestures and the resulting acoustic syllables are largely unkno...
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| Acceso en línea: | http://hdl.handle.net/20.500.12110/paper_00319007_v96_n5_p_Trevisan |
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todo:paper_00319007_v96_n5_p_Trevisan2023-10-03T14:43:17Z Nonlinear model predicts diverse respiratory patterns of birdsong Trevisan, M.A. Mindlin, G.B. Goller, F. Acoustics Neurology Respirators Acoustic syllables Nonlinear model Respiratory patterns Biomedical engineering animal biological model breathing computer simulation motoneuron nonlinear system physiology respiration center Serinus vocalization Animals Canaries Computer Simulation Models, Biological Motor Neurons Nonlinear Dynamics Respiration Respiratory Center Vocalization, Animal A central aspect of the motor control of birdsong production is the capacity to generate diverse respiratory rhythms, which determine the coarse temporal pattern of song. The neural mechanisms that underlie this diversity of respiratory gestures and the resulting acoustic syllables are largely unknown. We show that the respiratory patterns of the highly complex and variable temporal organization of song in the canary (Serinus canaria) can be generated as solutions of a simple model describing the integration between song control and respiratory centers. This example suggests that subharmonic behavior can play an important role in providing a complex variety of responses with minimal neural substrate. © 2006 The American Physical Society. Fil:Trevisan, M.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_00319007_v96_n5_p_Trevisan |
| institution |
Universidad de Buenos Aires |
| institution_str |
I-28 |
| repository_str |
R-134 |
| collection |
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) |
| topic |
Acoustics Neurology Respirators Acoustic syllables Nonlinear model Respiratory patterns Biomedical engineering animal biological model breathing computer simulation motoneuron nonlinear system physiology respiration center Serinus vocalization Animals Canaries Computer Simulation Models, Biological Motor Neurons Nonlinear Dynamics Respiration Respiratory Center Vocalization, Animal |
| spellingShingle |
Acoustics Neurology Respirators Acoustic syllables Nonlinear model Respiratory patterns Biomedical engineering animal biological model breathing computer simulation motoneuron nonlinear system physiology respiration center Serinus vocalization Animals Canaries Computer Simulation Models, Biological Motor Neurons Nonlinear Dynamics Respiration Respiratory Center Vocalization, Animal Trevisan, M.A. Mindlin, G.B. Goller, F. Nonlinear model predicts diverse respiratory patterns of birdsong |
| topic_facet |
Acoustics Neurology Respirators Acoustic syllables Nonlinear model Respiratory patterns Biomedical engineering animal biological model breathing computer simulation motoneuron nonlinear system physiology respiration center Serinus vocalization Animals Canaries Computer Simulation Models, Biological Motor Neurons Nonlinear Dynamics Respiration Respiratory Center Vocalization, Animal |
| description |
A central aspect of the motor control of birdsong production is the capacity to generate diverse respiratory rhythms, which determine the coarse temporal pattern of song. The neural mechanisms that underlie this diversity of respiratory gestures and the resulting acoustic syllables are largely unknown. We show that the respiratory patterns of the highly complex and variable temporal organization of song in the canary (Serinus canaria) can be generated as solutions of a simple model describing the integration between song control and respiratory centers. This example suggests that subharmonic behavior can play an important role in providing a complex variety of responses with minimal neural substrate. © 2006 The American Physical Society. |
| format |
JOUR |
| author |
Trevisan, M.A. Mindlin, G.B. Goller, F. |
| author_facet |
Trevisan, M.A. Mindlin, G.B. Goller, F. |
| author_sort |
Trevisan, M.A. |
| title |
Nonlinear model predicts diverse respiratory patterns of birdsong |
| title_short |
Nonlinear model predicts diverse respiratory patterns of birdsong |
| title_full |
Nonlinear model predicts diverse respiratory patterns of birdsong |
| title_fullStr |
Nonlinear model predicts diverse respiratory patterns of birdsong |
| title_full_unstemmed |
Nonlinear model predicts diverse respiratory patterns of birdsong |
| title_sort |
nonlinear model predicts diverse respiratory patterns of birdsong |
| url |
http://hdl.handle.net/20.500.12110/paper_00319007_v96_n5_p_Trevisan |
| work_keys_str_mv |
AT trevisanma nonlinearmodelpredictsdiverserespiratorypatternsofbirdsong AT mindlingb nonlinearmodelpredictsdiverserespiratorypatternsofbirdsong AT gollerf nonlinearmodelpredictsdiverserespiratorypatternsofbirdsong |
| _version_ |
1807316339191185408 |