Artículo

Alonso, R.G.; Trevisan, M.A.; Amador, A.; Goller, F.; Mindlin, G.B. "A circular model for song motor control inserinus canaria" (2015) Frontiers in Computational Neuroscience. 9(APR)
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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. © 2015, Johns Hopkins University Press. All rights reserved.

Registro:

Documento: Artículo
Título:A circular model for song motor control inserinus canaria
Autor:Alonso, R.G.; Trevisan, M.A.; Amador, A.; Goller, F.; Mindlin, G.B.
Filiación:Physics Department, University of Buenos Aires and IFIBA Conicet, Buenos Aires, Argentina
Department of Biology, University of Utah, Salt Lake City, UT, United States
Palabras clave:Birdsong; Motor control; Non-linear dynamics; Rate models; Song system; Brain; Forecasting; Neural networks; Respirators; Birdsong; Motor control; Non-linear dynamics; Rate models; Song system; Independent component analysis; adult; Article; controlled study; expiratory related neuron; male; motor control; nerve cell; nerve projection; neuromuscular function; nonhuman; prediction; Serinus; Serinus canaria; singing; telencephalon; vocalization
Año:2015
Volumen:9
Número:APR
Título revista:Frontiers in Computational Neuroscience
Título revista abreviado:Front. Comput. Neurosci.
ISSN:16625188
Registro:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_16625188_v9_nAPR_p_Alonso

Referencias:

  • Alliende, J.A., Méndez, J.M., Goller, F., Mindlin, G.B., Hormonal acceleration of song development illuminates motor control mechanism in canaries (2010) Dev. Neurobiol, 70, pp. 943-960
  • Alonso, L.M., Alliende, J.A., Goller, F., Mindlin, G.B., Low-dimensional dynamical model for the diversity of pressure patterns used in canary song (2009) Phys. Rev. E, 79
  • Amador, A., Mindlin, G.B., Low dimensional dynamics in birdsong production (2014) Eur. Phys. J. B, 87, 300p
  • Amador, A., Perl, Y.S., Mindlin, G.B., Margoliash, D., Elemental gesture dynamics are encoded by song premotor cortical neurons (2013) Nature, 495, pp. 59-64
  • Andalman, A.S., Foerster, J.N., Fee, M.S., Control of vocal and respiratory patterns in birdsong: Dissection of forebrain and brainstem mechanisms using temperature (2011) Plos ONE, 6, pp. e25461
  • Ashmore, R.C., Renk, J.A., Schmidt, M.F., Bottom-up activation of the vocal motor forebrain by the respiratory brainstem (2008) J. Neurosci, 28, pp. 2613-2623
  • Ashmore, R.C., Wild, J.M., Schmidt, M.F., Brainstem and forebrain contributions to the generation of learned motor behaviors for song (2005) J. Neurosci, 25, pp. 8543-8554
  • Basista, M.J., Elliott, K.C., Wu, W., Hyson, R.L., Bertram, R., Johnson, F., Independent premotor encoding of the sequence and structure of birdsong in avian cortex (2014) J. Neurosci, 34, pp. 16821-16834
  • Churchland, M.M., Cunningham, J.P., Kaufman, M.T., Foster, J.D., Nuyujukian, P., Ryu, S.I., Neural population dynamics during reaching (2012) Nature, 487, pp. 51-56
  • Daou, A., Ross, M.T., Johnson, F., Hyson, R.L., Bertram, R., Electrophysiological characterization and computational models of HVC neurons in the zebra finch (2013) J. Neurophysiol, 110, pp. 1227-1245
  • Fee, M.S., Kozhevnikov, A.A., Hahnloser, R.H., Neural mechanisms of vocal sequence generation in the songbird (2004) Ann. N.Y. Acad. Sci, 1016, pp. 153-170
  • Gibb, L., Gentner, T.Q., Abarbanel, H.D., Brain stem feedback in a computational model of birdsong sequencing (2009) J. Neurophysiol, 102, pp. 1763-1778
  • Goldin, M.A., Alonso, L.M., Alliende, J.A., Goller, F., Mindlin, G.B., Temperature induced syllable breaking unveils nonlinearly interacting timescales in birdsong motor pathway (2013) Plos ONE, 8, pp. e67814
  • Goldin, M.A., Mindlin, G.B., Evidence and control of bifurcations in a respiratory system (2013) Chaos, 23
  • Goller, F., Suthers, R.A., Role of syringeal muscles in controlling the phonology of bird song (1996) J. Neurophysiol, 76, pp. 287-300
  • Hahnloser, R.H., Kozhevnikov, A.A., Fee, M.S., An ultra-sparse code underliesthe generation of neural sequences in a songbird (2002) Nature, 419, pp. 65-70
  • Halle, F., Gahr, M., Kreutzer, M., Effects of unilateral lesions of HVC on song patterns of male domesticated canaries (2003) J. Neurobiol, 56, pp. 303-314
  • Hoppensteadt, F.C., Izhikevich, E.M., (1997) Weakly Connected Neural Networks, 126. , New York, NY: Springer
  • Laje, R., Mindlin, G.B., (2005) The Physics of Birdsong, , Berlin: Springer-Verlag
  • Long, M.A., Fee, M.S., Using temperature to analyse temporal dynamics in the songbird motor pathway (2008) Nature, 456, pp. 189-194
  • Spiro, J.E., Dalva, M.B., Mooney, R., Long-range inhibition within the zebra finch song nucleus RA can coordinate the firing of multiple projection neurons (1999) J. Neurophysiol, 81, pp. 3007-3020
  • Suthers, R.A., Vallet, E., Tanvez, A., Kreutzer, M., Bilateral song production in domestic canaries (2004) J. Neurobiol, 60, pp. 381-393
  • Suthers, R., Goller, F., Pytte, C., The neuromuscular control of birdsong (1999) Philos. Trans. R. Soc. Lond. B Biol. Sci, 354, pp. 927-939
  • Trevisan, M.A., Mindlin, G.B., Goller, F., Nonlinear model predicts diverse respiratory patterns of birdsong (2006) Phys. Rev. Lett, 96
  • Troyer, T.W., Neuroscience: The units of a song (2013) Nature, 495, pp. 56-57
  • Wolpert, D.M., Ghahramani, Z., Flanagan, J.R., Perspectives and problems in motor learning (2001) Trends Cogn. Sci, 5, pp. 487-494

Citas:

---------- APA ----------
Alonso, R.G., Trevisan, M.A., Amador, A., Goller, F. & Mindlin, G.B. (2015) . A circular model for song motor control inserinus canaria. Frontiers in Computational Neuroscience, 9(APR).
Recuperado de https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_16625188_v9_nAPR_p_Alonso [ ]
---------- CHICAGO ----------
Alonso, R.G., Trevisan, M.A., Amador, A., Goller, F., Mindlin, G.B. "A circular model for song motor control inserinus canaria" . Frontiers in Computational Neuroscience 9, no. APR (2015).
Recuperado de https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_16625188_v9_nAPR_p_Alonso [ ]
---------- MLA ----------
Alonso, R.G., Trevisan, M.A., Amador, A., Goller, F., Mindlin, G.B. "A circular model for song motor control inserinus canaria" . Frontiers in Computational Neuroscience, vol. 9, no. APR, 2015.
Recuperado de https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_16625188_v9_nAPR_p_Alonso [ ]
---------- VANCOUVER ----------
Alonso, R.G., Trevisan, M.A., Amador, A., Goller, F., Mindlin, G.B. A circular model for song motor control inserinus canaria. Front. Comput. Neurosci. 2015;9(APR).
Available from: https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_16625188_v9_nAPR_p_Alonso [ ]