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What every neuroscientist should know about the mathematical modeling of excitable cells. Combining empirical physiology and nonlinear dynamics, this text provides an introduction to the simulation and modeling of dynamic phenomena in cell biology and neuroscience. It introduces mathematical modeling...

  • Name : Cellular Biophysics and Modeling: A Primer on the Computational Biology of Excitable Cells
  • Vendor : Cambridge University Press
  • Type : Books
  • Manufacturing : 2024 / 07 / 31
  • Barcode : 9780521183055
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Cellular Biophysics and Modeling: A Primer on the Computational Biology of Excitable Cells
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What every neuroscientist should know about the mathematical modeling of excitable cells. Combining empirical physiology and nonlinear dynamics, this text provides an introduction to the simulation and modeling of dynamic phenomena in cell biology and neuroscience. It introduces mathematical modeling techniques alongside cellular electrophysiology. Topics include membrane transport and diffusion, the biophysics of excitable membranes, the gating of voltage and ligand-gated ion channels, intracellular calcium signalling, and electrical bursting in neurons and other excitable cell types. It introduces mathematical modeling techniques such as ordinary differential equations, phase plane, and bifurcation analysis of single-compartment neuron models. With analytical and computational problem sets, this book is suitable for life sciences majors, in biology to neuroscience, with one year of calculus, as well as graduate students looking for a primer on membrane excitability and calcium signalling.

Author: Greg Conradi Smith
Binding Type: Paperback
Publisher: Cambridge University Press
Published: 04/18/2019
Pages: 394
Weight: 1.75lbs
Size: 9.75h x 6.75w x 0.75d
ISBN: 9780521183055


Review Citation(s):
Choice 09/01/2019

About the Author
Conradi Smith, Greg: - Greg Conradi Smith is a Professor in the Department of Applied Science and Neuroscience Program Faculty Affiliate at the College of William and Mary, Virginia. He was organizer of the Cold Spring Harbor Laboratory Summer School on Computational Cell Biology (2008-14). His research focuses on mathematical aspects of cell physiology and neuroscience.

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