Skip to content
RDL
Network
Ecosystem
Switch app
TR
About
FAQ
Sign in
Get started
An empirical Bayesian solution to the source reconstruction problem in EEG — Christophe Phillips (2005) | RDL Network
Back
Cite
Save
Save for later
Share
Home
Publications
An empirical Bayesian solution to the source reconstruction problem in EEG
Shared by
Karl Friston
University College London, University of London
An empirical Bayesian solution to the source reconstruction problem in EEG
Article
2005
en
Authors
+2 more
CP
Christophe Phillips
JM
Jérémie Mattout
MR
Michael D. Rugg
Discussion
(0)
Sign in
to like and join the discussion.
No comments yet. Be the first to comment.
Related publications
Article
2010
A Parametric Empirical Bayesian framework for fMRI‐constrained MEG/EEG source reconstruction
Richard N. Henson
,
Guillaume Flandin
,
Karl Friston
,
Jérémie Mattout
Article
2013
Algorithmic procedures for Bayesian MEG/EEG source reconstruction in SPM
José David López
,
Vladimir Litvak
,
Jairo Espinosa
,
Karl Friston
,
Gareth R. Barnes
Article
2001
Systematic noise regularisation for linear inverse solution of the source localisation problem in EEG
Christophe Phillips
,
Michael D. Rugg
,
Karl Friston
Article
2011
A Parametric Empirical Bayesian Framework for the EEG/MEG Inverse Problem: Generative Models for Multi-Subject and Multi-Modal Integration
Richard N. Henson
,
Daniel G. Wakeman
,
Vladimir Litvak
,
Karl Friston
Article
2002
Systematic Regularization of Linear Inverse Solutions of the EEG Source Localization Problem
Christophe Phillips
,
Michael D. Rugg
,
Karl Friston
Discussion(0)
No comments yet. Be the first to comment.