alexa Long-range memory and non-Markov statistical effects in human sensorimotor coordination
Bioinformatics & Systems Biology

Bioinformatics & Systems Biology

Journal of Theoretical and Computational Science

Author(s): Renat M Yulmetyev, Natalya Emelyanova, Peter Hanggi, Fail Gafarov

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In this paper, the non-Markov statistical processes and long-range memory e%ects in human sensorimotor coordination are investigated. The theoretical basis of this study is the statistical theory of non-stationary discrete non-Markov processes in complex systems (Phys. Rev. E 62, 6178 (2000)). The human sensorimotor coordination was experimentally studied by means of standard dynamical tappingtest on the group of 32 youngpeoples with tap numbers up to 400. This test was carried out separately for the right and the left hand according to the degree of domination of each brain hemisphere. The numerical analysis of the experimental results was made with the help of power spectra of the initial time correlation function, the memory functions of low orders and the 7rst three points of the statistical spectrum of non-Markovity parameter. Our observations demonstrate, that with the regard to results of the standard dynamic tapping-test it is possible to divide all examinees into 7ve di%erent dynamic types. We have introduced the con:ict coe;cient to estimate quantitatively the order-disorder e%ects underlying life systems. The last one re:ects the existence of disbalance between the nervous and the motor human coordination. The suggested classi7cation of the neurophysiological activity represents the dynamic generalization of the well-known neuropsychological types and provides the new approach in a modern neuropsychology.

This article was published in Physica A and referenced in Journal of Theoretical and Computational Science

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