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Electromagnetic Brain Imaging A Bayesian Perspective

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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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Detail Information

Series Title

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Call Number

-

Publisher

: ., 2015

Collation

5 b/w illustrations, 27 illustrations in colour

Language

English

ISBN/ISSN

978-3-319-14947-9

Classification

NONE

Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

1

Subject(s)

Neuroscience
Biomedical Engineering and Bioengineering

Specific Detail Info

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Statement of Responsibility

Kensuke Sekihara, Srikantan S. Nagarajan

Other Information

Cataloger

agus

Source

-

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