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DAGM
2006
Springer
13 years 11 months ago
Robust MEG Source Localization of Event Related Potentials: Identifying Relevant Sources by Non-Gaussianity
Independent Component Analysis (ICA) is a frequently used preprocessing step in source localization of MEG and EEG data. By decomposing the measured data into maximally independent...
Peter Breun, Moritz Grosse-Wentrup, Wolfgang Utsch...
NIPS
2001
13 years 9 months ago
TAP Gibbs Free Energy, Belief Propagation and Sparsity
The adaptive TAP Gibbs free energy for a general densely connected probabilistic model with quadratic interactions and arbritary single site constraints is derived. We show how a ...
Lehel Csató, Manfred Opper, Ole Winther
NECO
2008
122views more  NECO 2008»
13 years 7 months ago
Constrained Subspace ICA Based on Mutual Information Optimization Directly
We introduce a new approach to constrained Independent Component Analysis (ICA) by formulating the original, unconstrained ICA problem as well as the constraints in mutual informa...
Marc M. Van Hulle
IDA
2009
Springer
14 years 2 months ago
Cumulative State Coherence Transform for a Robust Two-Channel Multiple Source Localization
This work presents a novel robust method for a two-channel multiple Time Difference of Arrival (TDOA) estimation. The method is based on a recursive frequency-domain Independent C...
Francesco Nesta, Piergiorgio Svaizer, Maurizio Omo...
ICASSP
2010
IEEE
13 years 2 months ago
Temporally constrained SCA with applications to EEG data
In this paper we propose an iterative algorithm for solving the problem of extracting a sparse source signal when a reference signal for the desired source signal is available. In...
Nasser Mourad, James P. Reilly, Gary Hasey, Duncan...