Electromagnetic Brain Imaging

A Bayesian Perspective
Buch | Hardcover
XIV, 270 Seiten
2015 | 2015
Springer International Publishing (Verlag)
978-3-319-14946-2 (ISBN)

Lese- und Medienproben

Electromagnetic Brain Imaging - Kensuke Sekihara, Srikantan S. Nagarajan
90,94 inkl. MwSt
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.

Introduction 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.

Erscheint lt. Verlag 20.3.2015
Zusatzinfo XIV, 270 p. 32 illus., 27 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 590 g
Themenwelt Medizin / Pharmazie Physiotherapie / Ergotherapie Orthopädie
Medizin / Pharmazie Studium
Naturwissenschaften Biologie Humanbiologie
Schlagworte Bayesian algorithms • Brain source reconstruction methods using MEG and • Brain source reconstruction methods using MEG and EEG • electromagnetic brain imaging • MEG / EEG • Noninvasive reconstructions of brain activity and • Noninvasive reconstructions of brain activity and connectivity • Signal processing algorithms
ISBN-10 3-319-14946-6 / 3319149466
ISBN-13 978-3-319-14946-2 / 9783319149462
Zustand Neuware
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