54 search results - page 2 / 11 » A sparse variational Bayesian approach for fMRI data analysi... |
TMI
1998
14 years 9 months ago
1998
Abstract—Functional magnetic resonance images (fMRI’s) provide high-resolution datasets which allow researchers to obtain accurate delineation and sensitive detection of activa...
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ISBI
2004
IEEE
15 years 10 months ago
2004
IEEE
Independent Component Analysis is becoming a popular exploratory method for analysing complex data such as that from FMRI experiments. The application of such `model-free' me...
100
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TMI
2010
14 years 4 months ago
2010
Within-subject analysis in fMRI essentially addresses two problems, the detection of brain regions eliciting evoked activity and the estimation of the underlying dynamics. In [1, 2...
ICASSP
2007
IEEE
15 years 3 months ago
2007
IEEE
— Within-subject analysis in event-related functional Magnetic Resonance Imaging (fMRI) first relies on (i) a detection step to localize which parts of the brain are activated b...
ICML
2006
IEEE
15 years 10 months ago
2006
IEEE
We introduce Hidden Process Models (HPMs), a class of probabilistic models for multivariate time series data. The design of HPMs has been motivated by the challenges of modeling h...