LEADER 01183nam 2200337Ia 450 001 996391864303316 005 20221108060236.0 035 $a(CKB)1000000000676424 035 $a(EEBO)2240880270 035 $a(OCoLC)18777271 035 $a(EXLCZ)991000000000676424 100 $a19881118d1662 uy | 101 0 $aeng 135 $aurbn||||a|bb| 200 10$aSo short a catechisme, that whosoever cannot, or will not learn, are not in any wise to be admitted to the Lords Supper$b[electronic resource] /$fEdward Fenton 205 $aNewly corrected and amended. 210 $aLondon $cPrinted for R. Eeles$d1662 215 $a[8] p 300 $aImperfect: stained, with print show-through. 300 $aReproduction of original in the Harvard University Library. 330 $aeebo-0062 606 $aCatechisms, English 615 0$aCatechisms, English. 700 $aFenton$b Edward$0804836 801 0$bEAI 801 1$bEAI 801 2$bWaOLN 906 $aBOOK 912 $a996391864303316 996 $aSo short a catechisme, that whosoever cannot, or will not learn, are not in any wise to be admitted to the Lords Supper$92389561 997 $aUNISA LEADER 03927nam 22006975 450 001 9910431343303321 005 20251113205425.0 010 $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(MiAaPQ)EBC6706774 035 $a(EXLCZ)994100000011665240 100 $a20201218d2020 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aDynamics of Neural Networks $eA Mathematical and Clinical Approach /$fby Michel J.A.M. van Putten 205 $a1st ed. 2020. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2020. 215 $a1 online resource (XVII, 259 p. 138 illus., 40 illus. in color.) 311 08$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 $aNeurosciences 606 $aNonlinear Optics 606 $aNeurology 606 $aSignal processing 606 $aBiophysics 606 $aBiomedical Engineering and Bioengineering 606 $aNeuroscience 606 $aNonlinear Optics 606 $aNeurology 606 $aSignal, Speech and Image Processing 615 0$aBiophysics. 615 0$aBiomedical engineering. 615 0$aNeurosciences. 615 0$aNonlinear Optics. 615 0$aNeurology. 615 0$aSignal processing. 615 14$aBiophysics. 615 24$aBiomedical Engineering and Bioengineering. 615 24$aNeuroscience. 615 24$aNonlinear Optics. 615 24$aNeurology. 615 24$aSignal, Speech and Image Processing. 676 $a571.4 700 $aPutten$b Michel J. A. M. van$0841463 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910431343303321 996 $aDynamics of neural networks$92222490 997 $aUNINA