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Electromagnetic brain imaging [electronic resource] : a bayesian perspe

Electromagnetic brain imaging [electronic resource] : a bayesian perspe

Material type
E-Book(소장)
Personal Author
Sekihara, Kensuke. Nagarajan, Srikantan S.
Title Statement
Electromagnetic brain imaging [electronic resource] : a bayesian perspe / Kensuke Sekihara, Srikantan S. Nagarajan.
Publication, Distribution, etc
Cham :   Springer International Publishing :   Imprint: Springer,   2015.  
Physical Medium
1 online resource (xiv, 270 p.) : ill. (some col.).
ISBN
9783319149479
요약
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.
General Note
Title from e-Book title page.  
Content Notes
Introduction to Electromagnetic Brain Imaging -- Minimum-Norm-Based Source Imaging Algorithms -- Adaptive Beamformers -- Sparse Bayesian (Champagne) Algorithm -- Bayesian Factor Analysis: A Versatile Framework -- A Unified Bayesian Framework for MEG/EEG Source -- Source-Space Connectivity Analysis Using Imaginary -- Estimation of Causal Networks: Source-Space Causality Analysis -- Detection of Phase–Amplitude Coupling in MEG Source Space: An Empirical Study.
Bibliography, Etc. Note
Includes bibliographical references and index.
이용가능한 다른형태자료
Issued also as a book.  
Subject Added Entry-Topical Term
Medicine. Magnetoencephalography --Mathematical models. Magnetoencephalography --Data processing.
Short cut
URL
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020 ▼a 9783319149479
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082 0 4 ▼a 616.8/047547 ▼2 23
084 ▼a 616.8047547 ▼2 DDCK
090 ▼a 616.8047547
100 1 ▼a Sekihara, Kensuke.
245 1 0 ▼a Electromagnetic brain imaging ▼h [electronic resource] : ▼b a bayesian perspe / ▼c Kensuke Sekihara, Srikantan S. Nagarajan.
260 ▼a Cham : ▼b Springer International Publishing : ▼b Imprint: Springer, ▼c 2015.
300 ▼a 1 online resource (xiv, 270 p.) : ▼b ill. (some col.).
500 ▼a Title from e-Book title page.
504 ▼a Includes bibliographical references and index.
505 0 ▼a Introduction to Electromagnetic Brain Imaging -- Minimum-Norm-Based Source Imaging Algorithms -- Adaptive Beamformers -- Sparse Bayesian (Champagne) Algorithm -- Bayesian Factor Analysis: A Versatile Framework -- A Unified Bayesian Framework for MEG/EEG Source -- Source-Space Connectivity Analysis Using Imaginary -- Estimation of Causal Networks: Source-Space Causality Analysis -- Detection of Phase–Amplitude Coupling in MEG Source Space: An Empirical Study.
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.
530 ▼a Issued also as a book.
538 ▼a Mode of access: World Wide Web.
650 0 ▼a Medicine.
650 0 ▼a Magnetoencephalography ▼x Mathematical models.
650 0 ▼a Magnetoencephalography ▼x Data processing.
700 1 ▼a Nagarajan, Srikantan S.
856 4 0 ▼u https://oca.korea.ac.kr/link.n2s?url=http://dx.doi.org/10.1007/978-3-319-14947-9
945 ▼a KLPA
991 ▼a E-Book(소장)

Holdings Information

No. Location Call Number Accession No. Availability Due Date Make a Reservation Service
No. 1 Location Main Library/e-Book Collection/ Call Number CR 616.8047547 Accession No. E14026919 Availability Loan can not(reference room) Due Date Make a Reservation Service M

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