Abstract
A mathematical model of the central neural mechanisms of respiratory rhythm generation has been developed. This model is based substantially on a previously published qualitative model which assumes that the respiratory central pattern generator (RCPG) is formed of a neural network and that the respiratory cycle comprises three phases: inspiration, post-inspiration and expiration1,2,3. The objectives of evaluating quantitatively the behavior of this model are to determine whether a unique model with fixed parameters can quantitatively reproduce a range of behaviors attributed to the qualitative model, and to propose how afferent inputs from chemoreceptors and from slowly adapting pulmonary stretch receptors may be processed by the respiratory neurons in the brainstem based on model simulations
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© 1989 Plenum Press, New York
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Bruce, E.N. (1989). A Three-Phase Model of Respiratory Rhythm Generation. In: Khoo, M.C.K. (eds) Modeling and Parameter Estimation in Respiratory Control. Springer, Boston, MA. https://doi.org/10.1007/978-1-4613-0621-4_11
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DOI: https://doi.org/10.1007/978-1-4613-0621-4_11
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4612-7896-2
Online ISBN: 978-1-4613-0621-4
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