An Introduction to Modeling Neuronal Dynamics

Christoph Börgers

ISBN 10: 331951170X / ISBN 13: 9783319511702

Published by Springer International Publishing, Springer Nature Switzerland Apr 2017, 2017

About this Item

Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 472 pp. Englisch.

Seller Inventory # 9783319511702

Bibliographic Details

• Title: An Introduction to Modeling Neuronal Dynamics
• Publisher: Springer International Publishing, Springer Nature Switzerland Apr 2017
• Publication Date: 2017
• Language: English
• ISBN 10: 331951170X
• ISBN 13: 9783319511702
• Binding: Buch
• Condition: Neu
• Dimensions: 241W x 160H x 31D millimeters 241 millimeters width by 160 millimeters height by 31 millimeters depth
• Weight: 869 grams

About this title

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.  

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.