Electromagnetic Brain Imaging A Bayesian Perspective

Electromagnetic Brain Imaging A Bayesian Perspective / by Kensuke Sekihara, Srikantan S. Nagarajan.

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...

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Bibliographic Details
Main Authors: Sekihara, Kensuke (Author), Nagarajan, Srikantan S. (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2015.
Edition:1st ed. 2015.
Series:Springer eBook Collection.
Subjects:
Neurosciences.
Biomedical engineering.
Neurobiology.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Description
Summary: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.
Physical Description:XIV, 270 p. 32 illus., 27 illus. in color. online resource.
ISBN:9783319149479
DOI:10.1007/978-3-319-14947-9

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