| Main Title |
Electromagnetic Brain Imaging A Bayesian Perspective / [electronic resource] : |
| Type |
EBOOK |
| Author |
Sekihara, Kensuke.
|
| Other Authors |
|
| Publisher |
Springer International Publishing : Imprint: Springer, |
| Year Published |
2015 |
| Call Number |
RC321-580 |
| ISBN |
9783319149479 |
| Subjects |
Medicine ;
Neurosciences ;
Neurobiology ;
Biomedical engineering
|
| Internet Access |
|
| Collation |
XIV, 270 p. 32 illus., 27 illus. in color. online resource. |
| Notes |
Due to license restrictions, this resource is available to EPA employees and authorized contractors only |
| Contents 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. 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. |
| Place Published |
Cham |
| Corporate Au Added Ent |
SpringerLink (Online service) |
| Host Item Entry |
Springer eBooks |
| PUB Date Free Form |
2015 |
| BIB Level |
m |
| Medium |
computer |
| Content |
text |
| Carrier |
online resource |
| Cataloging Source |
OCLC/T |
| OCLC Time Stamp |
20150308021827 |
| Language |
eng |
| Origin |
SPRINGER |
| Type |
EBOOK |
| OCLC Rec Leader |
02548nam a22004575i 45 |
