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πŸ“

Biological Systems: Nonlinear Dynamics Approach

✍ Scribed by Jorge Carballido-Landeira, Bruno Escribano


Publisher
Springer International Publishing
Year
2019
Tongue
English
Leaves
111
Series
SEMA SIMAI Springer Series 20
Edition
1st ed.
Category
Library

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✦ Synopsis


This book collects recent advances in the field of nonlinear dynamics in biological systems. Focusing on medical applications as well as more fundamental questions in biochemistry, it presents recent findings in areas such as control in chemically driven reaction-diffusion systems, electrical wave propagation through heart tissue, neural network growth, chiral symmetry breaking in polymers and mechanochemical pattern formation in the cytoplasm, particularly in the context of cardiac cells.

It is a compilation of works, including contributions from international scientists who attended the β€œ2nd BCAM Workshop on Nonlinear Dynamics in Biological Systems,” held at the Basque Center for Applied Mathematics, Bilbao in September 2016. Embracing diverse disciplines and using multidisciplinary approaches – including theoretical concepts, simulations and experiments – these contributions highlight the nonlinear nature of biological systems in order to be able to reproduce their complex behavior. Edited by the conference organizers and featuring results that represent recent findings and not necessarily those presented at the conference, the book appeals to applied mathematicians, biophysicists and computational biologists.


✦ Table of Contents


Front Matter ....Pages i-ix
Time-Delay Feedback Control of an Oscillatory Medium (Michael Stich, Carsten Beta)....Pages 1-17
Electrophysiological Effects of Small Conductance Ca(^{2+})-Activated K(^+) Channels in Atrial Myocytes (Angelina PeΓ±aranda, Inma R. Cantalapiedra, Enrique Alvarez-Lacalle, Blas Echebarria)....Pages 19-37
Spontaneous Mirror Symmetry Breaking from Recycling in Enantioselective Polymerization (David Hochberg, Celia Blanco, Michael Stich)....Pages 39-57
Self-organized Cultured Neuronal Networks: Longitudinal Analysis and Modeling of the Underlying Network Structure (Daniel de Santos-Sierra, Inmaculada Leyva, Juan Antonio Almendral, Stefano Boccaletti, Irene SendiΓ±a-Nadal)....Pages 59-85
Onset of Mechanochemical Pattern Formation in Poroviscoelastic Models of Active Cytoplasm (Sergio Alonso)....Pages 87-106

✦ Subjects


Mathematics; Mathematical and Computational Biology; Applications of Nonlinear Dynamics and Chaos Theory; Theoretical, Mathematical and Computational Physics


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