Dynamics of Neural Networks is popular PDF and ePub book, written by Michel J.A.M. van Putten in 2020-12-18, it is a fantastic choice for those who relish reading online the Science genre. Let's immerse ourselves in this engaging Science book by exploring the summary and details provided below. Remember, Dynamics of Neural Networks can be Read Online from any device for your convenience.

Dynamics of Neural Networks Book PDF Summary

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.

Detail Book of Dynamics of Neural Networks PDF

Dynamics of Neural Networks
  • Author : Michel J.A.M. van Putten
  • Release : 18 December 2020
  • Publisher : Springer Nature
  • ISBN : 9783662611845
  • Genre : Science
  • Total Page : 259 pages
  • Language : English
  • PDF File Size : 10,9 Mb

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