Efficient Implicit Runge-Kutta Methods for Fast-Responding Ligand-Gated Neuroreceptor Kinetic Models

Efficient Implicit Runge-Kutta Methods for Fast-Responding Ligand-Gated Neuroreceptor Kinetic Models

Neurophysiological models of the brain typically utilize systems of ordinary differential equations to simulate single-cell electrodynamics. To accurately emulate neurological treatments and their physiological effects on neurodegenerative disease, models that incorporate biologically-inspired mecha...

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Bibliographic Details
Main Author:	Edward Dougherty
Format:	Article
Language:	English
Published:	Bulgarian Academy of Sciences, Institute of Mathematics and Informatics 2016-02-01
Series:	Biomath
Subjects:	implicit Runge-Kutta neuroreceptor model numerical stiffness ODE simulation
Online Access:	http://www.biomathforum.org/biomath/index.php/biomath/article/view/506

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