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

English

By (author): Greg Conradi Smith

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. See more
Current price €50.59
Original price €54.99
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A01=Greg Conradi SmithAge Group_UncategorizedAuthor_Greg Conradi Smithautomatic-updateCategory1=Non-FictionCategory=JMMCategory=MFGCCategory=PBWHCategory=PBWRCategory=PHVNCategory=PSANCategory=PSFCOP=United KingdomDelivery_Delivery within 10-20 working daysLanguage_EnglishPA=In stockPrice_€50 to €100PS=Activesoftlaunch
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Product Details
  • Weight: 780g
  • Dimensions: 174 x 246mm
  • Publication Date: 14 Mar 2019
  • Publisher: Cambridge University Press
  • Publication City/Country: United Kingdom
  • Language: English
  • ISBN13: 9780521183055

About 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 (200814). His research focuses on mathematical aspects of cell physiology and neuroscience.

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