國立虎尾科技大學 |

Dynamics of Neural Networks = A Mathematical and Clinical Approach /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Dynamics of Neural Networks/ by Michel J.A.M. van Putten.
Reminder of title:	A Mathematical and Clinical Approach /
Author:	van Putten, Michel J.A.M.
Description:	XVII, 259 p. 138 illus., 40 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Neurology. -
Online resource:	https://doi.org/10.1007/978-3-662-61184-5
ISBN:	9783662611845

Dynamics of Neural Networks = A Mathematical and Clinical Approach /
van Putten, Michel J.A.M.

Dynamics of Neural NetworksA Mathematical and Clinical Approach /[electronic resource] :by Michel J.A.M. van Putten. - 1st ed. 2020. - XVII, 259 p. 138 illus., 40 illus. in color.online resource.

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.

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.

ISBN: 9783662611845

Standard No.: 10.1007/978-3-662-61184-5doiSubjects--Topical Terms:

593894
Neurology.

LC Class. No.: QH505

Dewey Class. No.: 571.4

Dynamics of Neural Networks = A Mathematical and Clinical Approach /
LDR:03220nam a22003975i 4500 001 1030935
003 DE-He213
005 20201218100351.0
007 cr nn 008mamaa
008 210318s2020 gw | s |||| 0|eng d
020 $a 9783662611845 $9 978-3-662-61184-5
024 7 $a 10.1007/978-3-662-61184-5 $2 doi
035 $a 978-3-662-61184-5
050 4 $a QH505
072 7 $a PHVN $2 bicssc
072 7 $a SCI009000 $2 bisacsh
072 7 $a PHVN $2 thema
072 7 $a PHVD $2 thema
082 0 4 $a 571.4 $2 23
100 1 $a van Putten, Michel J.A.M. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1327965
245 1 0 $a Dynamics of Neural Networks $h [electronic resource] : $b A Mathematical and Clinical Approach / $c by Michel J.A.M. van Putten.
250 $a 1st ed. 2020.
264 1 $a Berlin, Heidelberg : $b Springer Berlin Heidelberg : $b Imprint: Springer, $c 2020.
300 $a XVII, 259 p. 138 illus., 40 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
505 0 $a 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.
520 $a 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.
650 2 4 $a Neurology. $3 593894
650 2 4 $a Signal, Image and Speech Processing. $3 670837
650 0 $a Biophysics. $3 581576
650 0 $a Biological physics. $3 1253579
650 0 $a Biomedical engineering. $3 588770
650 0 $a Neurobiology. $3 573189
650 0 $a Statistical physics. $3 528048
650 0 $a Neurology . $3 1253459
650 0 $a Signal processing. $3 561459
650 0 $a Image processing. $3 557495
650 0 $a Speech processing systems. $3 564428
650 1 4 $a Biological and Medical Physics, Biophysics. $3 1113305
650 2 4 $a Biomedical Engineering and Bioengineering. $3 1211019
650 2 4 $a Applications of Nonlinear Dynamics and Chaos Theory. $3 1113607
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783662611821
776 0 8 $i Printed edition: $z 9783662611838
856 4 0 $u https://doi.org/10.1007/978-3-662-61184-5
912 $a ZDB-2-PHA
912 $a ZDB-2-SXP
950 $a Physics and Astronomy (SpringerNature-11651)
950 $a Physics and Astronomy (R0) (SpringerNature-43715)