Cellular Biophysics and Modeling, 9780521183055
Paperback
Model excitable cells: biophysics, math, neuroscience. Build your own neuron.

Cellular Biophysics and Modeling

a primer on the computational biology of excitable cells

$165.62

  • Paperback

    394 pages

  • Release Date

    14 March 2019

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Summary

Unlock the Secrets of Cellular Dynamics: A Neuroscientist’s Guide to Biophysical Modeling

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…

Book Details

ISBN-13:9780521183055
ISBN-10:0521183057
Author:Greg Conradi Smith
Publisher:Cambridge University Press
Imprint:Cambridge University Press
Format:Paperback
Number of Pages:394
Release Date:14 March 2019
Weight:780g
Dimensions:246mm x 174mm x 20mm
What They're Saying

Critics Review

‘In this text, Conradi Smith does an excellent job of teaching students with no mathematical training beyond calculus how to use differential equations to understand the basic principles of cell physiology and excitability. He skilfully walks students through the steps of modeling and analysis, all the while working to develop intuition and insight into how things work. His emphasis on computational methods for solution as well as graphical and geometrical means for interpretation enables him to communicate complex ideas in understandable ways. Furthermore, his patience and attention to detail will be appreciated by those students who have not had extensive exposure to the art of mathematical modeling. This text is a wonderful addition to the mathematical biology textbook literature.’ James P. Keener, University of Utah

About The Author

Greg Conradi Smith

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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