Some presentations for residents in neurology.

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Essentials of Neurophysiology

In this book, I approach neurophysiology at the interface of neurology and clinical neurophysiology. The medical disciplines of the nervous system, neurology and clinical neurophysiology, rest heavily on other sciences, notably cellular biology, neuro-anatomy, neuro-physiology, applied physics and mathematical biology. Existing medical textbooks on neurophysiology, neurology and clinical neurophysiology are an excellent source of the phenomenology of various principles and diseases. Here, I choose to elucidate some of the underlying physiological, physical processes and experimental methods, intended for a broad audience – medical residents and students, as well as students in the emerging area of medical technical sciences. I feel that a good understanding of fundamentals may significantly enhance insight into various aspects of clinical neurology and clinical neu- physiology. This book, therefore, is focused on a selection of clinical signs and symptoms to highlight basic principles of neurology, (neuro-)physiology and neuroanatomy. While I  believe this text to be of interest to medical students or residents in neurology or clinical neurophysiology, I further specifically aim at students  interested in contributing to new developments and innovations in neurology and clinical neurophysiology.

Corrections and some additional material can be found here

Dynamics of Neural Networks


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.

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