Overview
- Authored by leading researchers in the field
- Self-contained introduction and review of an emerging topic
- Suitable as graduate-level text for non-specialists and students
Part of the book series: Springer Series in Synergetics (SSSYN)
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About this book
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.Similar content being viewed by others
Keywords
Table of contents (8 chapters)
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Front Matter
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Back Matter
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)
Authors and Affiliations
Bibliographic Information
Book Title: Wavelets in Neuroscience
Authors: Alexander E. Hramov, Alexey A. Koronovskii, Valeri A. Makarov, Alexey N. Pavlov, Evgenia Sitnikova
Series Title: Springer Series in Synergetics
DOI: https://doi.org/10.1007/978-3-662-43850-3
Publisher: Springer Berlin, Heidelberg
eBook Packages: Physics and Astronomy, Physics and Astronomy (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2015
Hardcover ISBN: 978-3-662-43849-7Published: 19 August 2014
Softcover ISBN: 978-3-662-51078-0Published: 23 August 2016
eBook ISBN: 978-3-662-43850-3Published: 05 August 2014
Series ISSN: 0172-7389
Series E-ISSN: 2198-333X
Edition Number: 1
Number of Pages: XVI, 318
Number of Illustrations: 118 b/w illustrations, 20 illustrations in colour
Topics: Applications of Nonlinear Dynamics and Chaos Theory, Physiological, Cellular and Medical Topics, Neurobiology, Applications of Graph Theory and Complex Networks, Signal, Image and Speech Processing, Systems Biology