Wavelets in Neuroscience

Name: Wavelets in Neuroscience
SKU: 25736612
Price: 153.00 NZD
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Paperback / softback

Series:

Springer Series in Synergetics

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Description

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.

Release date NZ

August 23rd, 2016

Author

Audience

Professional & Vocational

Edition

Softcover reprint of the original 1st ed. 2015

Illustrations

20 Illustrations, color; 118 Illustrations, black and white; XVI, 318 p. 138 illus., 20 illus. in color.

Pages

318

Series

Springer Series in Synergetics

Dimensions

155x235x18

ISBN-13

9783662510780

Product ID

25736612

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