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010   $a3-319-14947-4
024 7 $a10.1007/978-3-319-14947-9
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035   $a(DE-He213)978-3-319-14947-9
035   $a(MiAaPQ)EBC6312700
035   $a(MiAaPQ)EBC5587097
035   $a(Au-PeEL)EBL5587097
035   $a(OCoLC)904009387
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100   $a20150220d2015      u|         0
101 0 $aeng
135   $aurnn|008mamaa
181   $ctxt
182   $cc
183   $acr
200 10$aElectromagnetic Brain Imaging $eA Bayesian Perspective /$fby Kensuke Sekihara, Srikantan S. Nagarajan
205   $a1st ed. 2015.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2015.
215   $a1 online resource (XIV, 270 p. 32 illus., 27 illus. in color.) 
300   $aBibliographic Level Mode of Issuance: Monograph
311   $a3-319-14946-6 
320   $aIncludes bibliographical references and index.
327   $aIntroduction 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.
330   $aThis 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.
606   $aNeurosciences
606   $aBiomedical engineering
606   $aNeurobiology
606   $aNeurosciences$3https://scigraph.springernature.com/ontologies/product-market-codes/B18006
606   $aBiomedical Engineering and Bioengineering$3https://scigraph.springernature.com/ontologies/product-market-codes/T2700X
606   $aNeurobiology$3https://scigraph.springernature.com/ontologies/product-market-codes/L25066
615  0$aNeurosciences.
615  0$aBiomedical engineering.
615  0$aNeurobiology.
615 14$aNeurosciences.
615 24$aBiomedical Engineering and Bioengineering.
615 24$aNeurobiology.
676   $a616.804754
700   $aSekihara$b Kensuke$4aut$4http://id.loc.gov/vocabulary/relators/aut$01058050
702   $aNagarajan$b Srikantan S$4aut$4http://id.loc.gov/vocabulary/relators/aut
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910298292703321
996   $aElectromagnetic Brain Imaging$92496673
997   $aUNINA