Electromagnetic Brain Imaging : A Bayesian Perspective /
| Main Authors: | , |
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| Corporate Author: | |
| Format: | eBook |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2015.
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| Edition: | 1st ed. 2015. |
| Subjects: |
Table of 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.