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Modeling and analysis of some neural mechanisms for the genesis and control of respiratory pattern

  • Neuroscience
  • Conference paper
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From Natural to Artificial Neural Computation (IWANN 1995)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 930))

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Abstract

Simulations were developed in the framework of the network theory of respiratory rhythmogenesis. The main goals were: (i) to develop computational models of neural mechanisms that provide the genesis and control of both respiratory oscillations and specific patterns of respiratory neurons, and (ii) to test some hypotheses about the neural mechanisms of respiratory rhythmogenesis on the basis of an analysis of these models. Our specific objectives were to understand the mechanisms of integration and specific roles of intrinsic properties of respiratory neurons, network properties of their interconnections, and effects of afferent feedback in the genesis and control of the respiratory pattern. The models of single respiratory neurons were developed in the Hodgkin-Huxley style. The single neuron models produce the specific firing patterns of respiratory neurons recorded experimentally (i.e. adapting and ramping bursts). Different model versions of the respiratory rhythm generator have been considered. They consist of interconnected neurons and vagal feedback from lung stretch receptors. The models demonstrate a stable respiratory rhythm and specific patterns of respiratory neuronal discharges. The performances of the models are compared and analyzed in light of existing hypotheses and physiological data.

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Authors and Affiliations

  1. Central Research & Development, E. I. du Pont de Nemours & Co., Experimental Station E-0328, 19880-0328, Wilmington, DE, USA

    Ilya A. Rybak & James S. Schwaber

  2. Department of Physiology, School of Medical Sciences, University of Bristol, University Walk, BS8 1TD, Bristol, UK

    Julian F. R. Paton

Authors
  1. Ilya A. Rybak
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  2. Julian F. R. Paton
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  3. James S. Schwaber
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José Mira Francisco Sandoval

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© 1995 Springer-Verlag Berlin Heidelberg

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Rybak, I.A., Paton, J.F.R., Schwaber, J.S. (1995). Modeling and analysis of some neural mechanisms for the genesis and control of respiratory pattern. In: Mira, J., Sandoval, F. (eds) From Natural to Artificial Neural Computation. IWANN 1995. Lecture Notes in Computer Science, vol 930. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-59497-3_162

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  • DOI: https://doi.org/10.1007/3-540-59497-3_162

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-59497-0

  • Online ISBN: 978-3-540-49288-7

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