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Calculus for Cognitive Scientists : Partial Differential Equation Models / by James K Peterson

By: Peterson, James K.
Material type: materialTypeLabelE-bookSeries: Cognitive Science and TechnologyPublisher: Singapore : Springer, 2016Edition: 1st ed.Description: 1 recurso en línea (XXXI, 534 p.) 156 il. col..ISBN: 9789812878809.Subject: CálculoOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources 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.
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Item type Current library Collection Call number Copy number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Ciencias e Ingeniería QA303.2 .P484 2016 EB (Browse shelf(Opens below)) .i11602557 Acceso electrónico eBOOK .i11602557
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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.

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