{"product_id":"dynamics-of-neural-networks-a-mathematical-and-clinical-approach-9783662611821","title":"Dynamics of Neural Networks: A Mathematical and","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eThis 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.\u003c\/p\u003e  \u003cp\u003eThe 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.\u003c\/p\u003e  \u003cp\u003eBasic 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.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e“The book is for sure a valuable contribution to make understandable the concepts of neurophysiology, it’s connection to applied mathematics and the benefits of theoretical achievements for application to clinical problems.” (Claudia simionescu-Badea, zbMATH 1482.92005, 2022)\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003ePart 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.\u003c\/p\u003e\u003cbr\u003e\u003cp\u003e\u003c\/p\u003e","brand":"Springer-Verlag Berlin and Heidelberg GmbH \u0026 Co. KG","offers":[{"title":"Default Title","offer_id":51021182894423,"sku":"9783662611821","price":75.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9783662611821.jpg?v=1750785391","url":"https:\/\/bookcurl.com\/products\/dynamics-of-neural-networks-a-mathematical-and-clinical-approach-9783662611821","provider":"Book Curl","version":"1.0","type":"link"}