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
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;
Conference_Titel :
Neuroinformatics and Neurocomputers, 1995., Second International Symposium on
Conference_Location :
Rostov on Don
Print_ISBN :
0-7803-2512-5
DOI :
10.1109/ISNINC.1995.480851