9780521183055-0521183057-Cellular Biophysics and Modeling: A Primer on the Computational Biology of Excitable Cells

Cellular Biophysics and Modeling: A Primer on the Computational Biology of Excitable Cells

ISBN-13: 9780521183055
ISBN-10: 0521183057
Edition: 1
Author: Greg Conradi Smith
Publication date: 2019
Publisher: Cambridge University Press
Format: Paperback 394 pages
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Book details

ISBN-13: 9780521183055
ISBN-10: 0521183057
Edition: 1
Author: Greg Conradi Smith
Publication date: 2019
Publisher: Cambridge University Press
Format: Paperback 394 pages

Summary

Cellular Biophysics and Modeling: A Primer on the Computational Biology of Excitable Cells (ISBN-13: 9780521183055 and ISBN-10: 0521183057), written by authors Greg Conradi Smith, was published by Cambridge University Press in 2019. With an overall rating of 4.5 stars, it's a notable title among other Molecular Biology (Evolution, Biophysics, Physics, Physiology, Basic Medical Sciences, Biology, Biological Sciences) books. You can easily purchase or rent Cellular Biophysics and Modeling: A Primer on the Computational Biology of Excitable Cells (Paperback) from BooksRun, along with many other new and used Molecular Biology books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $2.01.

Description

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.

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