• DocumentCode
    3069322
  • Title

    Stationary regimes of the respiratory neuron networks and their identification

  • Author

    Eskov, V.M. ; Filatova, O.E. ; Popov, Y.M.

  • Author_Institution
    Samara Pedagogical Univ., Russia
  • fYear
    1995
  • fDate
    20-23 Sep 1995
  • Firstpage
    156
  • Lastpage
    165
  • Abstract
    Mathematical modelling of rhythm generation in the respiratory neuron network (RNN) located in medulla oblongata is a slowly developing research area. There are some special models which take into account the configuration of connectedness between the neuron pools, chemoreceptor drive and dissipation factor. The compartmental approach is especially suitable to the modelling of the RNN´s rhythm generation. The usefulness of the compartmental approach is presented in the case of structural modelling and identification of hierarchical respiratory neuron networks
  • Keywords
    differential equations; identification; lung; neural nets; physiological models; realisation theory; chemoreceptor drive; dissipation factor; hierarchical respiratory neuron networks; identification; medulla oblongata; neuron pools; rhythm generation; stationary regimes; structural modelling; Biological system modeling; Damping; Differential equations; Neural networks; Neurons; Strontium;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neuroinformatics and Neurocomputers, 1995., Second International Symposium on
  • Conference_Location
    Rostov on Don
  • Print_ISBN
    0-7803-2512-5
  • Type

    conf

  • DOI
    10.1109/ISNINC.1995.480851
  • Filename
    480851