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Electromagnetic brain imaginga bayes...

Nagarajan, Srikantan S.

Electromagnetic brain imaginga bayesian perspective /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Electromagnetic brain imagingby Kensuke Sekihara, Srikantan S. Nagarajan.
Reminder of title:	a bayesian perspective /
Author:	Sekihara, Kensuke.
other author:	Nagarajan, Srikantan S.
Published:	Cham :Springer International Publishing :2015.
Description:	xiv, 270 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	MagnetoencephalographyMathematical models.
Online resource:	http://dx.doi.org/10.1007/978-3-319-14947-9
ISBN:	9783319149479 (electronic bk.)

Electromagnetic brain imaginga bayesian perspective /
Sekihara, Kensuke.

Electromagnetic brain imaginga bayesian perspective /[electronic resource] :by Kensuke Sekihara, Srikantan S. Nagarajan. - Cham :Springer International Publishing :2015. - xiv, 270 p. :ill., digital ;24 cm.

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.

ISBN: 9783319149479 (electronic bk.)

Standard No.: 10.1007/978-3-319-14947-9doiSubjects--Topical Terms:

713902
Magnetoencephalography
--Mathematical models.

LC Class. No.: RC386.6.M36

Dewey Class. No.: 616.8047547

Electromagnetic brain imaginga bayesian perspective /
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020 $a 9783319149479 (electronic bk.)
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100 1 $a Sekihara, Kensuke. $3 713900
245 1 0 $a Electromagnetic brain imaging $h [electronic resource] : $b a bayesian perspective / $c by Kensuke Sekihara, Srikantan S. Nagarajan.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2015.
300 $a xiv, 270 p. : $b ill., digital ; $c 24 cm.
520 $a 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.
650 0 $a Magnetoencephalography $x Mathematical models. $3 713902
650 0 $a Magnetoencephalography $x Data processing. $3 713903
650 1 4 $a Biomedicine. $3 273648
650 2 4 $a Neurosciences. $3 211508
650 2 4 $a Biomedical Engineering. $3 190464
650 2 4 $a Neurobiology. $3 195022
700 1 $a Nagarajan, Srikantan S. $3 713901
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-14947-9
950 $a Biomedical and Life Sciences (Springer-11642)