Calculus for cognitive scientists : partial differential equation models /

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Bibliographic Details
Author / Creator:Peterson, James K. (James Kent), author.
Imprint:Singapore : Springer, 2016.
Description:1 online resource (xxxi, 534 pages)
Language:English
Series:Cognitive science and technology, 2195-3996
Cognitive science and technology.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11252682
Hidden Bibliographic Details
ISBN:9789812878809
9812878807
9812878785
9789812878786
9789812878786
Digital file characteristics:text file
PDF
Notes:Includes bibliographical references and index.
English.
Online resource; title from PDF title page (EBSCO, viewed February 22, 2016).
Summary: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.
Other form:Print version: Peterson, James K. Calculus for Cognitive Scientists : Partial Differential Equation Models. Singapore : Springer Singapore, ©2016 9789812878786
Standard no.:10.1007/978-981-287-880-9