Interdisciplinary Applied Mathematics

Mathematical Foundations of Neuroscience

Autoren: Ermentrout, G. Bard, Terman, David H.

Vorschau
  • Key authors
  • Links both neuroscience and applied mathematics
  • Extensive illustrations, examples and exercises using real data
Weitere Vorteile

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eBook 48,14 €
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  • ISBN 978-0-387-87708-2
  • Versehen mit digitalem Wasserzeichen, DRM-frei
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Hardcover 85,59 €
Preis für Deutschland (Brutto)
Softcover 60,98 €
Preis für Deutschland (Brutto)
Über dieses Lehrbuch

This book applies methods from nonlinear dynamics to problems in neuroscience. It uses modern mathematical approaches to understand patterns of neuronal activity seen in experiments and models of neuronal behavior. The intended audience is researchers interested in applying mathematics to important problems in neuroscience, and neuroscientists who would like to understand how to create models, as well as the mathematical and computational methods for analyzing them. The authors take a very broad approach and use many different methods to solve and understand complex models of neurons and circuits. They explain and combine numerical, analytical, dynamical systems and perturbation methods to produce a modern approach to the types of model equations that arise in neuroscience. There are extensive chapters on the role of noise, multiple time scales and spatial interactions in generating complex activity patterns found in experiments. The early chapters require little more than basic calculus and some elementary differential equations and can form the core of a computational neuroscience course. Later chapters can be used as a basis for a graduate class and as a source for current research in mathematical neuroscience. The book contains a large number of illustrations, chapter summaries and hundreds of exercises which are motivated by issues that arise in biology, and involve both computation and analysis. Bard Ermentrout is Professor of Computational Biology and Professor of Mathematics at the University of Pittsburgh. David Terman is Professor of Mathematics at the Ohio State University.

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From the reviews:

“This excellent 422 page hardcover publication is an accessible and concise monograph. … Mathematical Foundations is a timely contribution that will prove useful to mathematics graduate students and faculty interested in the application of dynamical systems theory to cellular and systems neuroscience. … welcome addition to the pedagogical literature. … For mathematics graduate students who are investigating the field of computational neuroscience, I would highly recommend Mathematical Foundations of Neuroscience as their first computational neuroscience text.” (Gregory D. Smith, The Mathematical Association of America, December, 2010)

"...it is a good substitute for a lengthy regime of abstract maths classes, but it is also well integrated into the field of neuroscience. Ermentrout and Terman's book conveys much of the advanced mathematics used in theoretical neuroscience today." (Vincent A. Billock, Nature)

“Gives an engaging, detailed, and truly authoritative treatment of neural dynamics … . suited for mathematicians at the advanced undergraduate and beginning graduate level, and beyond, who wish to enter the field. … a valuable and often-consulted text for researchers. It is also an excellent resource for instructors of intermediate to advanced courses … . the text is very readable, even with its impressively wide scope. In addition, many subsections give short, independent reviews of mathematical topics that will be very useful in the classroom.” (Krešimir Josić and Eric Shea-Brown, SIAM Review, Vol. 53 (3), 2011)

“This book emphasises the use of dynamical systems techniques in building and understanding models of neural cells and tissues. It has an extensive set of exercises at the end of each chapter and is ideally suited as a course text in a final-year undergraduate or first-year Ph.D. applied mathematics programme in mathematical neuroscience. … Overall this is a unique text on the topic of mathematical neuroscience … that fills a much-needed gap in the mathematical literature for both students and researchers.” (Stephen Coombes, Mathematical Reviews, Issue 2012 a)


Inhaltsverzeichnis (12 Kapitel)

Inhaltsverzeichnis (12 Kapitel)

Dieses Buch kaufen

eBook 48,14 €
Preis für Deutschland (Brutto)
  • ISBN 978-0-387-87708-2
  • Versehen mit digitalem Wasserzeichen, DRM-frei
  • Erhältliche Formate: EPUB, PDF
  • eBooks sind auf allen Endgeräten nutzbar
  • Sofortiger eBook Download nach Kauf
Hardcover 85,59 €
Preis für Deutschland (Brutto)
Softcover 60,98 €
Preis für Deutschland (Brutto)
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Bibliografische Information

Bibliographic Information
Buchtitel
Mathematical Foundations of Neuroscience
Autoren
Titel der Buchreihe
Interdisciplinary Applied Mathematics
Buchreihen Band
35
Copyright
2010
Verlag
Springer-Verlag New York
Copyright Inhaber
Springer Science+Business Media, LLC
eBook ISBN
978-0-387-87708-2
DOI
10.1007/978-0-387-87708-2
Hardcover ISBN
978-0-387-87707-5
Softcover ISBN
978-1-4614-2621-9
Buchreihen ISSN
0939-6047
Auflage
1
Seitenzahl
XV, 422
Anzahl der Bilder
38 Abbildungen in Farbe
Themen