Dynamics of Neural Networks - A Mathematical and Clinical Approach (Hardcover, 1st ed. 2020)

This book treats essentials from neurophysiology (Hodgkin-Huxley equations, synaptic transmission, prototype networks of neurons) and related mathematical concepts (dimensionality reductions, equilibria, bifurcations, limit cycles and phase plane analysis). This is subsequently applied in a clinical context, focusing on EEG generation, ischaemia, epilepsy and neurostimulation. The book is based on a graduate course taught by clinicians and mathematicians at the Institute of Technical Medicine at the University of Twente. Throughout the text, the author presents examples of neurological disorders in relation to applied mathematics to assist in disclosing various fundamental properties of the clinical reality at hand. Exercises are provided at the end of each chapter; answers are included. Basic knowledge of calculus, linear algebra, differential equations and familiarity with MATLAB or Python is assumed. Also, students should have some understanding of essentials of (clinical) neurophysiology, although most concepts are summarized in the first chapters. The audience includes advanced undergraduate or graduate students in Biomedical Engineering, Technical Medicine and Biology. Applied mathematicians may find pleasure in learning about the neurophysiology and clinic essentials applications. In addition, clinicians with an interest in dynamics of neural networks may find this book useful, too.

General

Imprint:	Springer-Verlag
Country of origin:	Germany
Release date:	December 2020
First published:	2020
Authors:	Michel J.A.M Van Putten
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	259
Edition:	1st ed. 2020
ISBN-13:	978-3-662-61182-1
Categories:	Books > Medicine > Clinical & internal medicine > Neurology & clinical neurophysiology Books > Computing & IT > Applications of computing > Signal processing Books > Medicine > Nursing & ancillary services > Biomedical engineering > General Books > Science & Mathematics > Mathematics > Applied mathematics > Non-linear science Books > Science & Mathematics > Physics > Applied physics & special topics > Biophysics Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > Neurosciences Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Applied optics > General
LSN:	3-662-61182-1
Barcode:	9783662611821

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