Electromagnetic Brain Imaging A Bayesian Perspective /

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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Sekihara, Kensuke (Συγγραφέας), Nagarajan, Srikantan S. (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2015.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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024 7 |a 10.1007/978-3-319-14947-9  |2 doi 
040 |d GrThAP 
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100 1 |a Sekihara, Kensuke.  |e author. 
245 1 0 |a Electromagnetic Brain Imaging  |h [electronic resource] :  |b A Bayesian Perspective /  |c by Kensuke Sekihara, Srikantan S. Nagarajan. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2015. 
300 |a XIV, 270 p. 32 illus., 27 illus. in color.  |b online resource. 
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337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
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. 
650 0 |a Medicine. 
650 0 |a Neurosciences. 
650 0 |a Neurobiology. 
650 0 |a Biomedical engineering. 
650 1 4 |a Biomedicine. 
650 2 4 |a Neurosciences. 
650 2 4 |a Biomedical Engineering. 
650 2 4 |a Neurobiology. 
700 1 |a Nagarajan, Srikantan S.  |e author. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783319149462 
856 4 0 |u http://dx.doi.org/10.1007/978-3-319-14947-9  |z Full Text via HEAL-Link 
912 |a ZDB-2-SBL 
950 |a Biomedical and Life Sciences (Springer-11642)