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Dynamic characteristics of chaotic processes determined from point process analysis

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Abstract

The capability of calculating the highest Lyapunov index during analysis of the so-called point processes [1] is analyzed. Two mathematical models describing the generation of pulses by receptor neurons are considered and the conditions are established for which the dynamic characteristics of chaotic oscillations, determined from the output sequence of pulses, are retained during linear transformations of the neuron input signal.

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Authors and Affiliations

  1. Saratov State University, Saratov, Russia

    A. N. Pavlov & V. S. Anishchenko

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  1. A. N. Pavlov
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  2. V. S. Anishchenko
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Translated from Pis’ma v Zhurnal Tekhnichesko\(\overset{\lower0.5em\hbox{$\smash{\scriptscriptstyle\smile}$}}{l} \) Fiziki, Vol. 26, No. 15, 2000, pp. 58–64.

Original Russian Text Copyright © 2000 by Pavlov, Anishchenko.

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Pavlov, A.N., Anishchenko, V.S. Dynamic characteristics of chaotic processes determined from point process analysis. Tech. Phys. Lett. 26, 671–674 (2000). https://doi.org/10.1134/1.1307809

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