
Title:
Electromagnetic Brain Imaging A Bayesian Perspective
Author:
Sekihara, Kensuke. author.
ISBN:
9783319149479
Edition:
1st ed. 2015.
Physical Description:
XIV, 270 p. 32 illus., 27 illus. in color. online resource.
Contents:
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.
Added Author:
Added Corporate Author:
Electronic Access:
https://doi.org/10.1007/978-3-319-14947-9Copies:
Available:*
Library | Material Type | Item Barcode | Shelf Number | Status | Item Holds |
|---|---|---|---|---|---|
Searching... | E-Book | 530058-1001 | ONLINE | Searching... | Searching... |
