Dynamics of Neural Networks

A Mathematical and Clinical Approach

Dynamics of Neural Networks

A Mathematical and Clinical Approach

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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.



Part I Physiology of neurons and synapses: Electrophysiology of the Neuron

Synapses
Part II Dynamics: Dynamics in one-dimension
Dynamics in two-dimensional systems
Part III Networks: Prototype neural networks
Part IV The electroencephalogram: Basics of the EEG
Neural mass modeling of the EEG
Part V Pathology: Hypoxia and neuronal function
Seizures and Epilepsy
Part VI Neurostimulation: Neurostimulation
Epilogue.



ISBN 978-3-662-61182-1
Artikelnummer 9783662611821
Medientyp Buch
Auflage 1st ed. 2020
Copyrightjahr 2020
Verlag Springer, Berlin
Umfang XVII, 259 Seiten
Abbildungen XVII, 259 p. 138 illus., 40 illus. in color.
Sprache Englisch