Cellular Biophysics and Modeling: A Primer on the Computational Biology of Excitable Cells
Autor Greg Conradi Smithen Limba Engleză Paperback – 13 mar 2019
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Specificații
ISBN-13: 9780521183055
ISBN-10: 0521183057
Pagini: 394
Ilustrații: 21 b/w illus. 248 colour illus. 6 tables
Dimensiuni: 174 x 246 x 20 mm
Greutate: 0.79 kg
Editura: Cambridge University Press
Colecția Cambridge University Press
Locul publicării:Cambridge, United Kingdom
ISBN-10: 0521183057
Pagini: 394
Ilustrații: 21 b/w illus. 248 colour illus. 6 tables
Dimensiuni: 174 x 246 x 20 mm
Greutate: 0.79 kg
Editura: Cambridge University Press
Colecția Cambridge University Press
Locul publicării:Cambridge, United Kingdom
Cuprins
1. Introduction; Part I. Models and Odes: 2. Compartmental modeling; 3. Phase diagrams; 4. Ligands, receptors and rate laws; 5. Function families and characteristic times; 6. Bifurcation diagrams of scalar ODEs; Part II. Passive Membranes: 7. The Nernst equilibrium potential; 8. The current balance equation; 9. GHK theory of membrane permeation; Part III. Voltage-Gated Currents: 10. Voltage-gated ionic currents; 11. Regenerative ionic currents and bistability; 12. Voltage-clamp recording; 13. Hodgkin-Huxley model of the action potential; Part IV. Excitability and Phase Planes: 14. The Morris-Lecar model; 15. Phase plane analysis; 16. Linear stability analysis; Part V. Oscillations and Bursting: 17. Type II excitability and oscillations; 18. Type I excitability and oscillations; 19. The low-threshold calcium spike; 20. Synaptic currents.
Recenzii
'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
Notă biografică
Descriere
What every neuroscientist should know about the mathematical modeling of excitable cells, presented at an introductory level.