An interdisciplinary approach to study individuality in biological and physical systems functioning

Signals of system functioning of different nature are presented in the parameter space (state-velocity-acceleration) as a trajectory of dynamic events. Such signals geometrization allows to reveal the hidden spatio-temporal correlation in dynamics of systems functioning. It is shown that the nature...

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Autores principales: Mygal, V. P., But, A. V., Mygal, G. V., Klimenko, I. A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4944172/
https://www.ncbi.nlm.nih.gov/pubmed/27412253
http://dx.doi.org/10.1038/srep29512
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author Mygal, V. P.
But, A. V.
Mygal, G. V.
Klimenko, I. A.
author_facet Mygal, V. P.
But, A. V.
Mygal, G. V.
Klimenko, I. A.
author_sort Mygal, V. P.
collection PubMed
description Signals of system functioning of different nature are presented in the parameter space (state-velocity-acceleration) as a trajectory of dynamic events. Such signals geometrization allows to reveal the hidden spatio-temporal correlation in dynamics of systems functioning. It is shown that the nature of relationship between the dynamic parameters of signal determines the natural cycle of sensor functioning. Its restructuring displays the inherited features of systems functioning in signature package. The universal differential-geometry parameters and new integrative indexes of system functioning are used to analyze the signatures of biological and physical signals.
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spelling pubmed-49441722016-07-26 An interdisciplinary approach to study individuality in biological and physical systems functioning Mygal, V. P. But, A. V. Mygal, G. V. Klimenko, I. A. Sci Rep Article Signals of system functioning of different nature are presented in the parameter space (state-velocity-acceleration) as a trajectory of dynamic events. Such signals geometrization allows to reveal the hidden spatio-temporal correlation in dynamics of systems functioning. It is shown that the nature of relationship between the dynamic parameters of signal determines the natural cycle of sensor functioning. Its restructuring displays the inherited features of systems functioning in signature package. The universal differential-geometry parameters and new integrative indexes of system functioning are used to analyze the signatures of biological and physical signals. Nature Publishing Group 2016-07-14 /pmc/articles/PMC4944172/ /pubmed/27412253 http://dx.doi.org/10.1038/srep29512 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Mygal, V. P.
But, A. V.
Mygal, G. V.
Klimenko, I. A.
An interdisciplinary approach to study individuality in biological and physical systems functioning
title An interdisciplinary approach to study individuality in biological and physical systems functioning
title_full An interdisciplinary approach to study individuality in biological and physical systems functioning
title_fullStr An interdisciplinary approach to study individuality in biological and physical systems functioning
title_full_unstemmed An interdisciplinary approach to study individuality in biological and physical systems functioning
title_short An interdisciplinary approach to study individuality in biological and physical systems functioning
title_sort interdisciplinary approach to study individuality in biological and physical systems functioning
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4944172/
https://www.ncbi.nlm.nih.gov/pubmed/27412253
http://dx.doi.org/10.1038/srep29512
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