國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Dynamics of neural networksa mathema...

Putten, Michael Johannes Antonius Maria van.

Dynamics of neural networksa mathematical and clinical approach /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Dynamics of neural networksby Michel J.A.M. van Putten.
其他題名:	a mathematical and clinical approach /
作者:	Putten, Michael Johannes Antonius Maria van.
出版者:	Berlin, Heidelberg :Springer Berlin Heidelberg :2020.
面頁冊數:	xvii, 259 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Neurophysiology.
電子資源:	https://doi.org/10.1007/978-3-662-61184-5
ISBN:	9783662611845$q(electronic bk.)

Dynamics of neural networksa mathematical and clinical approach /
Putten, Michael Johannes Antonius Maria van.

Dynamics of neural networksa mathematical and clinical approach /[electronic resource] :by Michel J.A.M. van Putten. - Berlin, Heidelberg :Springer Berlin Heidelberg :2020. - xvii, 259 p. :ill., digital ;24 cm.

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$q(electronic bk.)

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

194420
Neurophysiology.

LC Class. No.: QP355.2

Dewey Class. No.: 612.8

Dynamics of neural networksa mathematical and clinical approach /
LDR:02890nmm a2200337 a 4500 001 591556
003 DE-He213
005 20210323153003.0
006 m d
007 cr nn 008maaau
008 210629s2020 gw s 0 eng d
020 $a 9783662611845$q(electronic bk.)
020 $a 9783662611821$q(paper)
024 7 $a 10.1007/978-3-662-61184-5 $2 doi
035 $a 978-3-662-61184-5
040 $a GP $c GP
041 0 $a eng
050 4 $a QP355.2
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 612.8 $2 23
090 $a QP355.2 $b .P993 2020
100 1 $a Putten, Michael Johannes Antonius Maria van. $3 883125
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.
260 $a Berlin, Heidelberg : $b Springer Berlin Heidelberg : $b Imprint: Springer, $c 2020.
300 $a xvii, 259 p. : $b ill., digital ; $c 24 cm.
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 0 $a Neurophysiology. $3 194420
650 0 $a Neural networks (Neurobiology) $3 182100
650 1 4 $a Biological and Medical Physics, Biophysics. $3 759746
650 2 4 $a Biomedical Engineering and Bioengineering. $3 826326
650 2 4 $a Neurobiology. $3 195022
650 2 4 $a Applications of Nonlinear Dynamics and Chaos Theory. $3 760027
650 2 4 $a Neurology. $3 211583
650 2 4 $a Signal, Image and Speech Processing. $3 273768
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-3-662-61184-5
950 $a Physics and Astronomy (SpringerNature-11651)