Wavelets in Neuroscience

Wavelets in Neuroscience
Author :
Publisher : Springer
Total Pages : 331
Release :
ISBN-10 : 9783662438503
ISBN-13 : 366243850X
Rating : 4/5 (50X Downloads)

Book Synopsis Wavelets in Neuroscience by : Alexander E. Hramov

Download or read book Wavelets in Neuroscience written by Alexander E. Hramov and published by Springer. This book was released on 2014-08-05 with total page 331 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


Wavelets in Neuroscience Related Books

Wavelets in Neuroscience
Language: en
Pages: 331
Authors: Alexander E. Hramov
Categories: Science
Type: BOOK - Published: 2014-08-05 - Publisher: Springer

DOWNLOAD EBOOK

This book examines theoretical and applied aspects of wavelet analysis in neurophysics, describing in detail different practical applications of the wavelet the
Wavelets in Neuroscience
Language: en
Pages: 384
Authors: Alexander E. Hramov
Categories: Science
Type: BOOK - Published: 2021-06-16 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book illustrates how modern mathematical wavelet transform techniques offer fresh insights into the complex behavior of neural systems at different levels:
Computational Neuroscience
Language: en
Pages: 1114
Authors: J.M. Bower
Categories: Computers
Type: BOOK - Published: 1999-07-08 - Publisher: Elsevier

DOWNLOAD EBOOK

This volume includes papers originally presented at the 7th annual Computational Neuroscience Meeting (CNS'98) held in July of 1998 at the Fess Parker Doubletre
Analyzing Neural Time Series Data
Language: en
Pages: 615
Authors: Mike X Cohen
Categories: Psychology
Type: BOOK - Published: 2014-01-17 - Publisher: MIT Press

DOWNLOAD EBOOK

A comprehensive guide to the conceptual, mathematical, and implementational aspects of analyzing electrical brain signals, including data from MEG, EEG, and LFP
Signal Processing for Neuroscientists
Language: en
Pages: 319
Authors: Wim van Drongelen
Categories: Science
Type: BOOK - Published: 2006-12-18 - Publisher: Elsevier

DOWNLOAD EBOOK

Signal Processing for Neuroscientists introduces analysis techniques primarily aimed at neuroscientists and biomedical engineering students with a reasonable bu