An Introduction to Modeling Neuronal Dynamics (Paperback, Softcover reprint of the original 1st ed. 2017)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Texts in Applied Mathematics, 66
Release date:	July 2018
First published:	2017
Authors:	Christoph Boergers
Dimensions:	235 x 155 x 24mm (L x W x T)
Format:	Paperback
Pages:	457
Edition:	Softcover reprint of the original 1st ed. 2017
ISBN-13:	978-3-319-84585-2
Categories:	Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematical modelling Books > Science & Mathematics > Physics > Thermodynamics & statistical physics > Statistical physics Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > Neurosciences Books > Professional & Technical > Mechanical engineering & materials > Materials science > Mechanics of solids > Dynamics & vibration
LSN:	3-319-84585-3
Barcode:	9783319845852

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