Overview

This book examines theoretical and applied aspects of wavelet analysis in neurophysics, describing in detail different practical applications of the wavelet theory in the areas of neurodynamics and neurophysiology and providing a review of fundamental work that has been carried out in these fields over the last decade. Chapters 1 and 2 introduce and review the relevant foundations of neurophysics and wavelet theory, respectively, pointing on one hand to the various current challenges in neuroscience and introducing on the other the mathematical techniques of the wavelet transform in its two variants (discrete and continuous) as a powerful and versatile tool for investigating the relevant neuronal dynamics. Chapter 3 then analyzes results from examining individual neuron dynamics and intracellular processes. The principles for recognizing neuronal spikes from extracellular recordings and the advantages of using wavelets to address these issues are described and combined with approaches based on wavelet neural networks (chapter 4). The features of time-frequency organization of EEG signals are then extensively discussed, from theory to practical applications (chapters 5 and 6). Lastly, the technical details of automatic diagnostics and processing of EEG signals using wavelets are examined (chapter 7). The book will be a useful resource for neurophysiologists and physicists familiar with nonlinear dynamical systems and data processing, as well as for graduat e students specializing in the corresponding areas.

Full Product Details

Author:   Alexander E. Hramov ,  Alexey A. Koronovskii ,  Valeri A. Makarov ,  Alexey N. Pavlov
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   Softcover reprint of the original 1st ed. 2015
Dimensions:   Width: 15.50cm , Height: 1.80cm , Length: 23.50cm
Weight:   5.095kg
ISBN:  

9783662510780

ISBN 10:   3662510782
Pages:   318
Publication Date:   23 August 2016
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
We will order this item for you from a manufactured on demand supplier.

Table of Contents

MathematicalMethods of Signal Processing in Neuroscience.- Brief Tour of Wavelet Theory.- Analysis of Single Neuron Recordings.- Classification of Neuronal Spikes from Extracellular Recordings.- Wavelet Approach to the Study of Rhythmic Neuronal Activity.- Time–Frequency Analysis of EEG: From Theory to Practice.- Automatic Diagnostics and Processing of EEG.- Conclusion.- Index.

Reviews

This book is an excellent description of single neuron and populational neural recordings. ... This is a very good book for physiologists, mathematicians, neurologists, anesthetists, neurosurgeons, and students with a specialized interest of neural recordings and functioning. ... This book is current and cutting edge as far as neurophysiology is concerned. Many ideas can be acquired for the experimentalists through the studying of this work. (Joseph J. Grenier, Amazon.com, July, 2015) This book gives an introduction to wavelets and then proceeds to demonstrate their use in a neural context. ... should be of interest to anyone involved in analysing real neural recordings. (Carlo Laing, zbMATH 1317.92003, 2015)

This book is an excellent description of single neuron and populational neural recordings. ... This is a very good book for physiologists, mathematicians, neurologists, anesthetists, neurosurgeons, and students with a specialized interest of neural recordings and functioning. ... This book is current and cutting edge as far as neurophysiology is concerned. Many ideas can be acquired for the experimentalists through the studying of this work. (Joseph J. Grenier, Amazon.com, July, 2015) This book gives an introduction to wavelets and then proceeds to demonstrate their use in a neural context. ... should be of interest to anyone involved in analysing real neural recordings. (Carlo Laing, zbMATH 1317.92003, 2015)

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