Final published version
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter
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TY - CHAP
T1 - Modelling Oscillating Living Systems: Cell Energy Metabolism as Weighted Networks of Nonautonomous Oscillators
AU - Rowland Adams, Joe
AU - Stefanovska, Aneta
PY - 2021/2/23
Y1 - 2021/2/23
N2 - Oscillations are a common feature throughout life, forming a key mechanism by which living systems can regulate their internal processes and exchange information. To understand the functions and behaviours of these processes, we must understand the nature of their oscillations. Studying oscillations can be difficult within existing physical models that simulate the changes in a system’s masses through autonomous differential equations. We discuss an alternative approach that focuses on the phases of oscillating processes and incorporates time as a key consideration. We will also consider the application of these theories to the cell energy metabolic system, and present a novel model using weighted nonautonomous Kuramoto oscillator networks in this context.
AB - Oscillations are a common feature throughout life, forming a key mechanism by which living systems can regulate their internal processes and exchange information. To understand the functions and behaviours of these processes, we must understand the nature of their oscillations. Studying oscillations can be difficult within existing physical models that simulate the changes in a system’s masses through autonomous differential equations. We discuss an alternative approach that focuses on the phases of oscillating processes and incorporates time as a key consideration. We will also consider the application of these theories to the cell energy metabolic system, and present a novel model using weighted nonautonomous Kuramoto oscillator networks in this context.
U2 - 10.1007/978-3-030-62497-2_13
DO - 10.1007/978-3-030-62497-2_13
M3 - Chapter
SN - 9783030624965
T3 - Matrix Book Series
SP - 255
EP - 264
BT - 2019-20 MATRIX Annals
A2 - Wood, David R.
A2 - de Gier, Jan
A2 - Praeger, Cheryl E.
A2 - Tao, Terence
PB - Springer
CY - Cham
ER -