Electromagnetic brain imaging : a bayesian perspective / Kensuke Sekihara, Srikantan S. Nagarajan.
Tipo de material:
TextoEditor: Cham : Springer International Publishing : Springer, 2015Descripción: xiv, 270 páginas : 32 ilustraciones, 27 ilustraciones en colorTipo de contenido: - texto
- computadora
- recurso en línea
- 9783319149479
- RC321-580
Contenidos:
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.