Nonlinear model predicts diverse respiratory patterns of birdsong

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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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Detalles Bibliográficos
Autor principal: Trevisan, M.A
Otros Autores: Mindlin, G.B, Goller, F.
Formato: Capítulo de libro
Lenguaje:Inglés
Publicado: 2006
Acceso en línea:Registro en Scopus
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Biblioteca Central Dr. Luis F. Leloir (FCEN) de Universidad de Buenos Aires
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100 1 |a Trevisan, M.A. 
245 1 0 |a Nonlinear model predicts diverse respiratory patterns of birdsong 
260 |c 2006 
270 1 0 |m Trevisan, M.A.; Departamento de Física, FCEN, Pab. I, (1428) - Buenos Aires, Argentina 
506 |2 openaire  |e Política editorial 
504 |a Konishi, M., (1994) Curr. Opin. Neurobiol., 4, p. 827. , COPUEN 0959-4388 10.1016/0959-4388(94)90130-9 
504 |a Suthers, R., (1997) J. Neurobiol., 33, p. 632. , JNEUBZ 0022-3034 10.1002/(SICI)1097-4695(19971105)33:5<632::AID- NEU10>3.0.CO;2-B 
504 |a Suthers, R.A., Goller, F., Pytte, C., (1999) Phil. Trans. R. Soc. B, 354, p. 927. , PTRBAE 0962-8436 10.1098/rstb.1999.0444 
504 |a Hartley, R.S., Suthers, R.A., (1989) J. Comp. Physiol. A, 165, p. 15. , JCPADN 1432-1351 10.1007/BF00613795 
504 |a Hartley, R.S., (1990) Respiration Physiology, 81, p. 177. , RSPYAK 0034-5687 
504 |a Gilmore, R., Lefranc, M., (2003) The Topology of Chaos, , Wiley, New York 
504 |a Abarbanel, H.D.I.A., (1996) Analysis of Observed Chaotic Data, , Springer, New York 
504 |a Wild, J.M., (2004) Ann. N.Y. Acad. Sci., 1016, p. 438. , ANYAA9 0077-8923 10.1196/annals.1298.016 
504 |a Sturdy, C.B., Wild, J.M., Mooney, R., (2003) J. Neurosci., 23, p. 1072. , JNRSDS 0270-6474 
504 |a Hoppensteadt, F.C., Izhikevich, E.M., (1997) Weakly Connected Neural Networks, , Springer-Verlag, Berlin 
504 |a Hahnloser, H.R., Kozhevnikov, A.A., Fee, M.S., (2002) Nature (London), 419, p. 65. , NATUAS 0028-0836 10.1038/nature00974 
504 |a Yu, A.C., Margoliash, D., (1996) Science, 273, p. 1871. , SCIEAS 0036-8075 
504 |a Keener, J., Sneyd, J., (1998) Mathematical Physiology, , Springer, New York 
504 |a Solari, H.G., Natiello, M.A., Mindlin, G.B., (1996) Nonlinear Dynamics: A Two Way Trip from Physics to Math, , IOP, London 
504 |a Feingold, M., Gonzalez, D.L., Piro, O., Viturro, H., (1988) Phys. Rev. A, 37, p. 4060. , PLRAAN 1050-2947 10.1103/PhysRevA.37.4060 
504 |a Gonzalez, D.L., Piro, O., (1983) Phys. Rev. Lett., 50, p. 870. , PRLTAO 0031-9007 10.1103/PhysRevLett.50.870 
504 |a Glass, L., (2001) Nature (London), 410, p. 277. , NATUAS 0028-0836 10.1038/35065745 
504 |a Golubitsky, M.S., Stewart, I., Buono, P., Collins, J.J., (1999) Nature (London), 401, p. 693. , NATUAS 0028-0836 10.1038/44416 
520 3 |a 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.  |l eng 
593 |a Departamento de Física, FCEN, Pab. I, (1428) - Buenos Aires, Argentina 
593 |a Department of Biology, University of Utah, Salt Lake City, UT 84112, United States 
690 1 0 |a ACOUSTICS 
690 1 0 |a NEUROLOGY 
690 1 0 |a RESPIRATORS 
690 1 0 |a ACOUSTIC SYLLABLES 
690 1 0 |a NONLINEAR MODEL 
690 1 0 |a RESPIRATORY PATTERNS 
690 1 0 |a BIOMEDICAL ENGINEERING 
690 1 0 |a ANIMAL 
690 1 0 |a BIOLOGICAL MODEL 
690 1 0 |a BREATHING 
690 1 0 |a COMPUTER SIMULATION 
690 1 0 |a MOTONEURON 
690 1 0 |a NONLINEAR SYSTEM 
690 1 0 |a PHYSIOLOGY 
690 1 0 |a RESPIRATION CENTER 
690 1 0 |a SERINUS 
690 1 0 |a VOCALIZATION 
690 1 0 |a ANIMALS 
690 1 0 |a CANARIES 
690 1 0 |a COMPUTER SIMULATION 
690 1 0 |a MODELS, BIOLOGICAL 
690 1 0 |a MOTOR NEURONS 
690 1 0 |a NONLINEAR DYNAMICS 
690 1 0 |a RESPIRATION 
690 1 0 |a RESPIRATORY CENTER 
690 1 0 |a VOCALIZATION, ANIMAL 
700 1 |a Mindlin, G.B. 
700 1 |a Goller, F. 
773 0 |d 2006  |g v. 96  |k n. 5  |p Phys Rev Lett  |x 00319007  |w (AR-BaUEN)CENRE-386  |t Physical Review Letters 
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856 4 0 |u https://doi.org/10.1103/PhysRevLett.96.058103  |y DOI 
856 4 0 |u https://hdl.handle.net/20.500.12110/paper_00319007_v96_n5_p_Trevisan  |y Handle 
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