Skip to main navigation Skip to search Skip to main content

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

  • Institute of Mathematical and Computer Sciences, University of Sao Paulo, Sao Carlos 13566-590, Brazil
  • Faculty of Medicine, Ss Cyril and Methodius University, Skopje
  • Mathematics Department, Imperial College, London SW7 2AZ

Research output: Contribution to Journal/MagazineJournal articlepeer-review

10 Citations (Scopus)
557 Downloads (Pure)

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.
Original languageEnglish
Article number20190275
Number of pages10
JournalPhilosophical Transactions of the Royal Society of London A
Volume377
Early online date28/10/2019
DOIs
Publication statusPublished - 16/12/2019

Cite this