Calculus for Cognitive Scientists
Partial Differential Equation Models
Published on 9. December 2018
Book
Paperback/Softback
XXXI, 534 pages
978-981-13-5721-3 (ISBN)
Description
This book shows cognitive scientists in training how mathematics, computer science and science can be usefully and seamlessly intertwined. It is a follow-up to the first two volumes on mathematics for cognitive scientists, and includes the mathematics and computational tools needed to understand how to compute the terms in the Fourier series expansions that solve the cable equation. The latter is derived from first principles by going back to cellular biology and the relevant biophysics. A detailed discussion of ion movement through cellular membranes, and an explanation of how the equations that govern such ion movement leading to the standard transient cable equation are included. There are also solutions for the cable model using separation of variables, as well an explanation of why Fourier series converge and a description of the implementation of MatLab tools to compute the solutions. Finally, the standard Hodgkin - Huxley model is developed for an excitable neuron and is solved using MatLab.
More details
Series
Edition
Softcover reprint of the original 1st ed. 2016
Language
English
Place of publication
Singapore
Singapore
Target group
Professional and scholarly
Illustrations
156 farbige Abbildungen
XXXI, 534 p. 156 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 31 mm
Weight
850 gr
ISBN-13
978-981-13-5721-3 (9789811357213)
DOI
10.1007/978-981-287-880-9
Schweitzer Classification
Other editions
Additional editions
Book
02/2016
Springer
€160.49
Shipment within 15-20 days
Person
Dr. James Peterson is an Associate Professor in Mathematical Sciences and Biological Sciences at Clemson University, USA. His formal training is in mathematics but he has worked as an aerospace engineer and a software engineer also. He enjoys working on very hard problems that require multiple disciplines to make sense out of and he reads, studies and plays in cutting edge areas a lot as part of his interests.
Content
Introduction.- Graham - Schmidt Orthogonalization.- Numerical Di?erential Equations.- Biological Molecules.- Ion Movement.- Lumped and Distributed Cell Models.- Time Independent Solutions to In?nite Cables.- Time Independent Solutions to Finite and Half-In?nite Space Cables.- A Primer On Series Solutions.- Linear Partial Di?erential Equations.- Simpli?ed Dendrite - Soma - Axon Information Processing.- The Basic Hodgkin - Huxley Model.- Final Thoughts.- Background Reading.