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» MEG Source Imaging Using Multipolar Expansions
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IPMI
1999
Springer
12 years 6 months ago
MEG Source Imaging Using Multipolar Expansions
We describe the use of truncated multipolar expansions for producing dynamic images of cortical neural activation from measurements of the magnetoencephalogram. We use a signal-sub...
John C. Mosher, Richard M. Leahy, David W. Shattuc...
DAGM
2006
Springer
11 years 9 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...
ICASSP
2011
IEEE
10 years 9 months ago
A fast solution to robust minimum variance beamformer and application to simultaneous MEG and local field potential
Abstract—In this study, a robust minimum variance beamformer (RMVB) is employed for source reconstruction in simultaneous MEG and local field potential (LFP) measurements. RMVB ...
Hamid Reza Mohseni, Morten L. Kringelbach, Mark W....
NIPS
2003
11 years 6 months ago
Reconstructing MEG Sources with Unknown Correlations
Existing source location and recovery algorithms used in magnetoencephalographic imaging generally assume that the source activity at different brain locations is independent or t...
Maneesh Sahani, Srikantan S. Nagarajan
NN
2000
Springer
159views Neural Networks» more  NN 2000»
11 years 5 months ago
Independent component analysis for noisy data -- MEG data analysis
ICA (independent component analysis) is a new, simple and powerful idea for analyzing multi-variant data. One of the successful applications is neurobiological data analysis such ...
Shiro Ikeda, Keisuke Toyama
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