133 search results - page 11 / 27 » Using Image Stimuli to Drive fMRI Analysis |
106
Voted
ICASSP
2011
IEEE
14 years 3 months ago
2011
IEEE
The Support Vector Machine (SVM) methodology is an effective, supervised, machine learning method that gives stateof-the-art performance for brain state classification from funct...
95
Voted
ICASSP
2007
IEEE
15 years 5 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...
113
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ACL
2009
14 years 9 months ago
2009
Recent advances in functional Magnetic Resonance Imaging (fMRI) offer a significant new approach to studying semantic representations in humans by making it possible to directly o...
106
click to vote
ICASSP
2011
IEEE
14 years 3 months ago
2011
IEEE
Real-time functional magnetic resonance imaging (rtfMRI) enables classification of brain activity during data collection thus making inference results accessible to both the subj...
102
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ISBI
2004
IEEE
16 years 11 days ago
2004
IEEE
The models used for analyzing functional MRI (fMRI) data have profound impact on the detection of active brain areas. In this paper temporal and spatial linear subspace models for...