LEADER 03233oam 2200481 450 001 996418437903316 005 20210618124547.0 010 $a3-662-61184-8 024 7 $a10.1007/978-3-662-61184-5 035 $a(CKB)4100000011665240 035 $a(DE-He213)978-3-662-61184-5 035 $a(MiAaPQ)EBC6455963 035 $a(PPN)252511964 035 $a(EXLCZ)994100000011665240 100 $a20210618d2020 uy 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aDynamics of neural networks $ea mathematical and clinical approach /$fMichel J. A. M. van Putten 205 $a1st ed. 2020. 210 1$aCham, Switzerland :$cSpringer,$d[2020] 210 4$d©2020 215 $a1 online resource (XVII, 259 p. 138 illus., 40 illus. in color.) 311 $a3-662-61182-1 327 $aPart 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. 330 $aThis 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. 606 $aBiophysics 606 $aBiomedical engineering 606 $aNeurobiology 615 0$aBiophysics. 615 0$aBiomedical engineering. 615 0$aNeurobiology. 676 $a571.4 700 $aPutten$b Michel J. A. M. van$0841463 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bUtOrBLW 906 $aBOOK 912 $a996418437903316 996 $aDynamics of neural networks$92222490 997 $aUNISA