Wavelets in neuroscience [electronic resource] / Alesander E. Hramov, [and others].
Hramov, Alesander E., author.
2015
QA403.3
Available Online

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Title Wavelets in neuroscience [electronic resource] / Alesander E. Hramov, [and others].
ISBN 9783662438497
3662438496
9783662438503 electronic book
366243850X electronic book
DOI https://doi.org/10.1007/978-3-662-43850-3
Published Heidelberg : Springer, [2015]
Copyright ©2015
Language English
Description 1 online resource (xvi, 318 pages) : illustrations (some color).
Item Number 10.1007/978-3-662-43850-3 doi
Call Number QA403.3
Dewey Decimal Classification 515.2433
Summary 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 graduate students specializing in the corresponding areas.
Bibliography, etc. Note Includes bibliographical references and index.
Access Note Access limited to authorized users.
Source of Description Description based on print version record.
Added Author Hramov, Alesander E., author.
Series Springer series in synergetics.
Springer complexity.
Available in Other Form Wavelets in neuroscience
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
All Resources
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.

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