Coupling in complex systems as information transfer across time scales

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F19%3A00511187" target="_blank" >RIV/67985807:_____/19:00511187 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1098/rsta.2019.0094" target="_blank" >http://dx.doi.org/10.1098/rsta.2019.0094</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1098/rsta.2019.0094" target="_blank" >10.1098/rsta.2019.0094</a>

Result language

angličtina

Original language name

Coupling in complex systems as information transfer across time scales

Original language description

Complex systems such as the human brain or the Earth's climate consist of many subsystems interacting in intricate, nonlinear ways. Moreover, variability of such systems extends over broad ranges of spatial and temporal scales and dynamical phenomena on different scales also influence each other. In order to explain how to detect cross-scale causal interactions, we review information-theoretic formulation of the Granger causality in combination with computational statistics (surrogate data method) and demonstrate how this method can be used to infer driver-response relations from amplitudes and phases of coupled nonlinear dynamical systems. Considering complex systems evolving on multiple time scales, the reviewed methodology starts with a wavelet decomposition of a multi-scale signal into quasi-oscillatory modes of a limited bandwidth, described using their instantaneous phases and amplitudes. Then statistical associations, in particular, causality relations between phases or between phases and amplitudes on different time scales are tested using the conditional mutual information. As an application, we present the analysis of cross-scale interactions and information transfer in the dynamics of the El Niño Southern Oscillation.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

<a href="/en/project/GA19-16066S" target="_blank" >GA19-16066S: Nonlinear interactions and information transfer in complex systems with extreme events</a><br>

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2019

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Philosophical Transactions of the Royal Society A-Mathematical Physical and Engineering Sciences

ISSN

1364-503X

e-ISSN

—

Volume of the periodical

377

Issue of the periodical within the volume

2160

Country of publishing house

GB - UNITED KINGDOM

Number of pages

15

Pages from-to

20190094

UT code for WoS article

000511612600011

EID of the result in the Scopus database

2-s2.0-85074169837