Record Display for the EPA National Library Catalog

RECORD NUMBER: 41 OF 101

OLS Field Name OLS Field Data
Main Title Electromagnetic Brain Imaging A Bayesian Perspective / [electronic resource] :
Type EBOOK
Author Sekihara, Kensuke.
Other Authors
Author Title of a Work
Nagarajan, Srikantan S.
Publisher Springer International Publishing : Imprint: Springer,
Year Published 2015
Call Number RC321-580
ISBN 9783319149479
Subjects Medicine. ; Neurosciences. ; Neurobiology. ; Biomedical engineering.
Internet Access
Description Access URL
http://dx.doi.org/10.1007/978-3-319-14947-9
Collation XIV, 270 p. 32 illus., 27 illus. in color. online resource.
Notes
Due to license restrictions, this resource is available to EPA employees and authorized contractors only
Contents Notes
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. 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.