Electromagnetic Brain Imaging: A Bayesian Perspective

By Kensuke Sekihara, Srikantan S Nagarajan, Srikantan S. Nagarajan, et al.

Book Overview

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.

• Format: Paperback
• Language: English
• ISBN: 3319356437
• ISBN13: 9783319356433
• Release Date: October 2016
• Publisher: Springer
• Length: 270 Pages
• Weight: 0.89 lbs.
• Dimensions: 0.6" x 6.1" x 9.2"