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Patterns in Excitable Media

Sitabhra Sinha | S. Sridhar
€80.99
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A01=Sitabhra Sinha
advanced biophysics
Author_S. Sridhar
Author_Sitabhra Sinha
Barkley Model
Belousov Zhabotinsky Reaction
cardiac arrhythmia modeling
Category=PD
Cellular Automata
computational biology
CS
Disordered Excitable Media
Dynamics Of Patterns In Excitable Media
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Examples Of Excitable Media
Excitable Media
excitable media pattern dynamics research
FHN.
Intercellular Coupling
Ion Channel Expression
Low Dimensional Dynamical System
mathematical simulation
Medium Oscillating
Mother Rotors
nonlinear systems
Ordinary Differential Equation
Pacing Wave
Passive Cells
pattern control methods
Reentry Circuit
Scroll Waves
SD
Sinus Node
Slow Conduction
Spatiotemporal Chaos
Spiral Core
Spiral Tip
Spiral Waves
Strong Allee Effect
Study Pattern Formation

Product details

  • ISBN 9780367377984
  • Weight: 453g
  • Dimensions: 178 x 254mm
  • Publication Date: 02 Oct 2019
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
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Description
Excitable media comprise a class of models for a wide range of physical, chemical, and biological systems that exhibit spontaneous formation of spatial patterns. Patterns in Excitable Media: Genesis, Dynamics, and Control covers recent developments in the interdisciplinary field of dynamics and control of patterns in nonlinear biological systems described by excitable media models. Using examples of many real-life systems, it explores the impact of pattern dynamics on the structural and functional heterogeneities in the system. The book also discusses low-amplitude control schemes for eliminating patterns from an excitable medium, such as life-threatening cardiac arrhythmia. Codes for numerical simulation are provided in the appendix.
About S. Sridhar | Sitabhra Sinha

Sitabhra Sinha is a professor of theoretical physics at the Institute of Mathematical Sciences in Chennai and an adjunct faculty of the National Institute of Advanced Studies in Bangalore, India. He received his PhD from the Indian Statistical Institute at Calcutta. Dr. Sinha’s subsequent research has focused on understanding complex systems using techniques from statistical physics and nonlinear dynamics. His current research interests include modelling cardiac arrhythmia, the mesoscopic organization of complex networks, computational neuroscience of the nematode C. elegans, and the application of statistical physics for understanding the emergence of universal distributions in socio-economic phenomena.

S. Sridhar is a postdoctoral researcher in the Department of Chemistry at Brandeis University in Massachusetts, USA. He obtained a PhD in theoretical physics from the University of Madras, India. His doctoral research was carried out at the Institute of Mathematical Sciences in Chennai and involved investigating the nonlinear dynamics of patterns in biological systems and developing control schemes for spatially extended chaos having potential medical applications.

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