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Electromagnetic brain imaging = a ba...

Sekihara, Kensuke.

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Electromagnetic brain imaging = a bayesian perspective /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Electromagnetic brain imaging/ by Kensuke Sekihara, Srikantan S. Nagarajan.
其他題名:	a bayesian perspective /
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. -
電子資源:	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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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.
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