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Coupling Functions: Dynamical Interaction Mechanisms in the Physical, Biological and Social Sciences

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Coupling Functions: Dynamical Interaction Mechanisms in the Physical, Biological and Social Sciences. / Stankovski, Tomislav; Pereira, Tiago; McClintock, Peter V. E. et al.
In: Philosophical Transactions of the Royal Society of London A, Vol. 377, 20190275, 16.12.2019.

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Stankovski T, Pereira T, McClintock PVE, Stefanovska A. Coupling Functions: Dynamical Interaction Mechanisms in the Physical, Biological and Social Sciences. Philosophical Transactions of the Royal Society of London A. 2019 Dec 16;377:20190275. Epub 2019 Oct 28. doi: 10.1098/rsta.2019.0039

Author

Stankovski, Tomislav ; Pereira, Tiago ; McClintock, Peter V. E. et al. / Coupling Functions : Dynamical Interaction Mechanisms in the Physical, Biological and Social Sciences. In: Philosophical Transactions of the Royal Society of London A. 2019 ; Vol. 377.

Bibtex

@article{07fee85ab1d948188dff1eca07dc93b1,
title = "Coupling Functions: Dynamical Interaction Mechanisms in the Physical, Biological and Social Sciences",
abstract = "Dynamical systems are widespread, with examples in physics, chemistry, biology, population dynamics, communications, climatology and social science. They are rarely isolated but generally interact with each other. These interactions can be characterised by coupling functions -- which contain detailed information about the functional mechanisms underlying the interactions and prescribe the physical rule specifying how each interaction occurs. Coupling functions can be used, not only to understand, but also to control and predict the outcome of the interactions. This theme issue assembles ground-breaking work on coupling functions by leading scientists. After overviewing the field and describing recent advances in the theory, it discusses novel methods for the detection and reconstruction of coupling functions from measured data. It then presents applications in chemistry, neuroscience, cardio-respiratory physiology, climate, electrical engineering and social science. Taken together, the collection summarises earlier work on coupling functions, reviews recent developments, presents the state-of-the-art, and looks forward to guide the future evolution of the field.",
author = "Tomislav Stankovski and Tiago Pereira and McClintock, {Peter V. E.} and Aneta Stefanovska",
year = "2019",
month = dec,
day = "16",
doi = "10.1098/rsta.2019.0039",
language = "English",
volume = "377",
journal = "Philosophical Transactions of the Royal Society of London A",
issn = "0264-3820",

}

RIS

TY - JOUR

T1 - Coupling Functions

T2 - Dynamical Interaction Mechanisms in the Physical, Biological and Social Sciences

AU - Stankovski, Tomislav

AU - Pereira, Tiago

AU - McClintock, Peter V. E.

AU - Stefanovska, Aneta

PY - 2019/12/16

Y1 - 2019/12/16

N2 - Dynamical systems are widespread, with examples in physics, chemistry, biology, population dynamics, communications, climatology and social science. They are rarely isolated but generally interact with each other. These interactions can be characterised by coupling functions -- which contain detailed information about the functional mechanisms underlying the interactions and prescribe the physical rule specifying how each interaction occurs. Coupling functions can be used, not only to understand, but also to control and predict the outcome of the interactions. This theme issue assembles ground-breaking work on coupling functions by leading scientists. After overviewing the field and describing recent advances in the theory, it discusses novel methods for the detection and reconstruction of coupling functions from measured data. It then presents applications in chemistry, neuroscience, cardio-respiratory physiology, climate, electrical engineering and social science. Taken together, the collection summarises earlier work on coupling functions, reviews recent developments, presents the state-of-the-art, and looks forward to guide the future evolution of the field.

AB - Dynamical systems are widespread, with examples in physics, chemistry, biology, population dynamics, communications, climatology and social science. They are rarely isolated but generally interact with each other. These interactions can be characterised by coupling functions -- which contain detailed information about the functional mechanisms underlying the interactions and prescribe the physical rule specifying how each interaction occurs. Coupling functions can be used, not only to understand, but also to control and predict the outcome of the interactions. This theme issue assembles ground-breaking work on coupling functions by leading scientists. After overviewing the field and describing recent advances in the theory, it discusses novel methods for the detection and reconstruction of coupling functions from measured data. It then presents applications in chemistry, neuroscience, cardio-respiratory physiology, climate, electrical engineering and social science. Taken together, the collection summarises earlier work on coupling functions, reviews recent developments, presents the state-of-the-art, and looks forward to guide the future evolution of the field.

U2 - 10.1098/rsta.2019.0039

DO - 10.1098/rsta.2019.0039

M3 - Journal article

VL - 377

JO - Philosophical Transactions of the Royal Society of London A

JF - Philosophical Transactions of the Royal Society of London A

SN - 0264-3820

M1 - 20190275

ER -