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Electromagnetic brain imaging = a ba...

Sekihara, Kensuke.

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Electromagnetic brain imaging = a bayesian perspective /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Electromagnetic brain imaging/ by 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:	Magnetoencephalography - Mathematical models. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-14947-9
ISBN:	9783319149479 (electronic bk.)

Electromagnetic brain imaging = a 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:

2134364
Magnetoencephalography
--Mathematical models.

LC Class. No.: RC386.6.M36

Dewey Class. No.: 616.8047547

Electromagnetic brain imaging = a bayesian perspective /
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020 $a 9783319149479 (electronic bk.)
020 $a 9783319149462 (paper)
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050 4 $a RC386.6.M36
082 0 4 $a 616.8047547 $2 23
090 $a RC386.6.M36 $b S463 2015
100 1 $a Sekihara, Kensuke. $3 898484
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 2134364
650 0 $a Magnetoencephalography $x Data processing. $3 2134365
650 1 4 $a Biomedicine. $3 890831
650 2 4 $a Neurosciences. $3 588700
650 2 4 $a Biomedical Engineering. $3 720279
650 2 4 $a Neurobiology. $3 588707
700 1 $a Nagarajan, Srikantan S. $3 2134363
710 2 $a SpringerLink (Online service) $3 836513
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)