An Introduction to Modeling Neuronal Dynamics / Texts in Applied Mathematics Bd.66 (PDF)

Name: An Introduction to Modeling Neuronal Dynamics / Texts in Applied Mathematics Bd.66
Brand: Springer-Verlag GmbH
SKU: 103368338
Price: 54.99 EUR
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(Sprache: Englisch)

Autor: Christoph Börgers

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An Introduction to Modeling Neuronal Dynamics / Texts in Applied Mathematics Bd.66, Christoph Börgers

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This book is intended as a text for a one-semester course on Mathematical and Computational Neuroscience for upper-level undergraduate and beginning graduate students of mathematics, the natural sciences, engineering, or computer science. An undergraduate introduction to differential equations is more than enough mathematical background. Only a slim, high school-level background in physics is assumed, and none in biology.

Topics include models of individual nerve cells and their dynamics, models of networks of neurons coupled by synapses and gap junctions, origins and functions of population rhythms in neuronal networks, and models of synaptic plasticity.

An extensive online collection of Matlab programs generating the figures accompanies the book.

Autoren-Porträt von Christoph Börgers

Christoph Börgers is Professor of Mathematics at Tufts University, USA. His expertise is in mathematical neuroscience, applied dynamical systems, numerical analysis, and scientific computing.

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Bibliographische Angaben

Autor: Christoph Börgers
2017, 1st ed. 2017, 457 Seiten, Englisch
Verlag: Springer-Verlag GmbH
ISBN-10: 3319511718
ISBN-13: 9783319511719
Erscheinungsdatum: 17.04.2017

Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.

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“The book is supplemented with a helpful library of Matlab scripts that generate many of the plots and numerical results presented in it. The exercises encourage the readers to modify the scripts to create new plots ... the book takes the reader on a fascinating journey of neuronal dynamics via introduction, analysis and numerical simulation of relevant dynamical systems. It is written with clarity and rigor.” (Oksana Bihun, zbMATH 1382.92001, 2018)

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