
Cellular Biophysics and Modeling
a primer on the computational biology of excitable cells
$165.62
- Paperback
394 pages
- Release Date
14 March 2019
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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