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020 _a9783319149479
024 7 _a10.1007/978-3-319-14947-9
_2doi
050 4 _aRC386.6.M36
_bS455 2015
082 0 4 _a612.8
100 1 _aSekihara, Kensuke.
_993725
_0Local
245 1 0 _aElectromagnetic Brain Imaging :
_bA Bayesian Perspective
_cby Kensuke Sekihara, Srikantan S. Nagarajan.
260 _aCham, Switzerland
_bSpringer
_c2015
300 _a1 recurso en línea (XIV, 270 p.)
_b32 ilustraciones, 27 ilustraciones en color
336 _aTexto (visual)
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
505 0 _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 Phaseâ€{u1B70}litude Coupling in MEG Source Space: An Empirical Study.
520 _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. Â{u9D20} 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. Â{u4A29}s textbook will not only appeal to graduate students but all scientists and engineers engaged in research on electromagnetic brain imaging.
710 2 _aSpringerLink (Online service)
_0Local
_9106996
942 _2lcc
_cLE
988 _aEBOOK, EBSPRINGER
650 7 _aNeurobiología
_2embne
_9139039
650 7 _9143820
_aIngeniería biomédica
_2embne
650 2 7 _aNeurobiología
_2embne
_9139039
650 7 _aMedicina
_2embne
_9405021
650 7 _aNeurociencias
_2embne
_9158907
650 2 7 _aNeurociencias
_2embne
_9158907
700 1 _aNagarajan, Srikantan S.
_993726
_0Local
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-3-319-14947-9
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
907 _a.b1289946x
_b10-10-17
_c18-01-16
998 _am
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_a_vill
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