Abstract
A method is described for computing the Markov parameters of a matrix from the relevant parameters, and for constructing the entire differential equation sought. Evaluations are made of the convergence of the proposed methods of approximation, and a demonstration is given of the practical application of the theory to the identification of respiratory neuron circuits.
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References
V. M. Es'kov, Izmer. Tekh., No. 4, 8 (1993).
A. I. Galushkin and É. Yu. Kirsanov, Neuron Systems of the Memory, Parts 1 and 2, MAI, Moscow (1991).
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V. M. Es'kov, Izmer. Tekh., No. 8, 11 (1993).
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Additional information
Translated from Izmeritel'naya Tekhnika, No. 3, pp. 66–68, March, 1994.
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Es'kov, V.M. Automatic identification of differential equations simulating the behavior of neuron circuits. Meas Tech 37, 359–364 (1994). https://doi.org/10.1007/BF02614280
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DOI: https://doi.org/10.1007/BF02614280