Electromagnetic Brain Imaging

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90,94 

A Bayesian Perspective

ISBN: 3319149466
ISBN 13: 9783319149462
Autor: Sekihara, Kensuke/Nagarajan, Srikantan S
Verlag: Springer Verlag GmbH
Umfang: xiv, 270 S., 5 s/w Illustr., 27 farbige Illustr., 270 p. 32 illus., 27 illus. in color.
Erscheinungsdatum: 20.03.2015
Auflage: 1/2015
Produktform: Gebunden/Hardback
Einband: Gebunden

This graduate level textbook provides a coherent introduction to the body of main-stream algorithms used in electromagnetic brain imaging, with specific emphasis on novel Bayesian algorithms.  It helps readers to more easily understand literature in biomedical engineering and related fields, and be ready to pursue research in either the engineering or the neuroscientific aspects of electromagnetic brain imaging.  This textbook will not only appeal to graduate students but all scientists and engineers engaged in research on electromagnetic brain imaging.

Artikelnummer: 7616224 Kategorie:

Beschreibung

InhaltsangabeIntroduction to Electromagnetic Brain Imaging.- Minimum-Norm-Based Source Imaging Algorithms.- Adaptive Beamformers.- Sparse Bayesian (Champagne) Algorithm.- Bayesian Factor Analysis: A Versatile Framework.- A Unified Bayesian Framework for MEG/EEG Source.- Source-Space Connectivity Analysis Using Imaginary.- Estimation of Causal Networks: Source-Space Causality Analysis.- Detection of Phase-Amplitude Coupling in MEG Source Space: An Empirical Study.

Herstellerkennzeichnung:


Springer Verlag GmbH
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69121 Heidelberg
DE

E-Mail: juergen.hartmann@springer.com

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