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ISBI
2008
IEEE
14 years 1 months ago
Examining associations between FMRI and EEG data using canonical correlation analysis
Functional magnetic resonance imaging (fMRI) and electroencephalography (EEG) provide complementary information about the brain function. We propose a novel scheme to examine asso...
Nicolle M. Correa, Yi-Ou Li, Tülay Adali, Vin...
IJON
2008
114views more  IJON 2008»
13 years 7 months ago
A robust model for spatiotemporal dependencies
Real-world data sets such as recordings from functional magnetic resonance imaging often possess both spatial and temporal structure. Here, we propose an algorithm including such ...
Fabian J. Theis, Peter Gruber, Ingo R. Keck, Elmar...
ISCAS
2008
IEEE
145views Hardware» more  ISCAS 2008»
14 years 1 months ago
Group learning using contrast NMF : Application to functional and structural MRI of schizophrenia
— Non-negative Matrix factorization (NMF) has increasingly been used as a tool in signal processing in the last couple of years. NMF, like independent component analysis (ICA) is...
Vamsi K. Potluru, Vince D. Calhoun
MICCAI
1999
Springer
13 years 11 months ago
Analysis of Functional MRI Data Using Mutual Information
Abstract. A new information-theoretic approach is presented for analyzing fMRI data to calculate the brain activation map. The method is based on a formulation of the mutualinforma...
Andy Tsai, John W. Fisher III, Cindy Wible, Willia...
DMIN
2007
203views Data Mining» more  DMIN 2007»
13 years 8 months ago
Evaluation of Feature Selection Techniques for Analysis of Functional MRI and EEG
— The application of feature selection techniques greatly reduces the computational cost of classifying highdimensional data. Feature selection algorithms of varying performance ...
Lauren Burrell, Otis Smart, George J. Georgoulas, ...