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An Introduction to Modeling Neuronal Dynamics: 66 (Texts in Applied Mathematics, 66) - Hardcover

 
9783319511702: An Introduction to Modeling Neuronal Dynamics: 66 (Texts in Applied Mathematics, 66)

Synopsis

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.  

"synopsis" may belong to another edition of this title.

Review

“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)

About the Author

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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  • PublisherSpringer
  • Publication date2017
  • ISBN 10 331951170X
  • ISBN 13 9783319511702
  • BindingHardcover
  • Edition number1
  • Number of pages470

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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book is intended as a text for a one-semester course on Mathematicaland Computational Neuroscience for upper-level undergraduate andbeginninggraduatestudents of mathematics, the natural sciences, engineering, or computer science.An undergraduate introduction to differential equations is more than enoughmathematical 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. 472 pp. Englisch. Seller Inventory # 9783319511702

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