Overview
Provides a theoretical framework for source imaging methodology
Specific focus on Bayesian algorithms
Unique approach to the recent advances
Includes supplementary material: sn.pub/extras
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Table of contents (9 chapters)
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Front Matter
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Back Matter
Keywords
About this book
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.
Authors and Affiliations
Bibliographic Information
Book Title: Electromagnetic Brain Imaging
Book Subtitle: A Bayesian Perspective
Authors: Kensuke Sekihara, Srikantan S. Nagarajan
DOI: https://doi.org/10.1007/978-3-319-14947-9
Publisher: Springer Cham
eBook Packages: Biomedical and Life Sciences, Biomedical and Life Sciences (R0)
Copyright Information: Springer International Publishing Switzerland 2015
Hardcover ISBN: 978-3-319-14946-2Published: 20 March 2015
Softcover ISBN: 978-3-319-35643-3Published: 06 October 2016
eBook ISBN: 978-3-319-14947-9Published: 20 February 2015
Edition Number: 1
Number of Pages: XIV, 270
Number of Illustrations: 5 b/w illustrations, 27 illustrations in colour
Topics: Neurosciences, Biomedical Engineering and Bioengineering, Neurobiology