Correlations and statistical memory effects as markers of age-related changes in complex systems of living nature

Abstract

In this paper, we study the physical mechanisms of the biological aging phenomenon of complex systems of living nature. We show that the correlations and effects ofstatistical memory, established within the framework of the Memory Functions Formalism, can serve as markers of age-related changes in the neuromuscular system and visual-motor coordination of a person. The dynamometric signals of representatives of older age groups are characterized by a shorter lifetime of statistical memory and an increase in the scale of fluctuations compared to the signals of young volunteers. The aging of an organism leads to a distinct deformation of the spatiotemporal structures represented in the phase space and to a change in the spectral behavior of the signals. The results obtained will be of interest to data sciences, complex systems physics and gerontology.