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Electromagnetic brain imaging[electr...

Nagarajan, Srikantan S.

Electromagnetic brain imaging[electronic resource] :a bayesian perspective /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	616.8047547
書名/作者:	Electromagnetic brain imaging : a bayesian perspective // by Kensuke Sekihara, Srikantan S. Nagarajan.
作者:	Sekihara, Kensuke.
其他作者:	Nagarajan, Srikantan S.
出版者:	Cham : : Springer International Publishing :, 2015.
面頁冊數:	xiv, 270 p. : : ill., digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	Magnetoencephalography - Mathematical models.
標題:	Magnetoencephalography - Data processing.
標題:	Biomedicine.
標題:	Neurosciences.
標題:	Biomedical Engineering.
標題:	Neurobiology.
ISBN:	9783319149479 (electronic bk.)
ISBN:	9783319149462 (paper)
摘要、提要註:	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.
電子資源:	http://dx.doi.org/10.1007/978-3-319-14947-9

Electromagnetic brain imaging[electronic resource] :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:

606640
Magnetoencephalography
--Mathematical models.

LC Class. No.: RC386.6.M36

Dewey Class. No.: 616.8047547

Electromagnetic brain imaging[electronic resource] :a bayesian perspective /
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100 1 $a Sekihara, Kensuke. $3 606638
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 606640
650 0 $a Magnetoencephalography $x Data processing. $3 606641
650 1 4 $a Biomedicine. $3 463454
650 2 4 $a Neurosciences. $3 372208
650 2 4 $a Biomedical Engineering. $3 382389
650 2 4 $a Neurobiology. $3 385450
700 1 $a Nagarajan, Srikantan S. $3 606639
710 2 $a SpringerLink (Online service) $3 463450
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)

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