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» Using fMRI to Test Models of Complex Cognition
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ISBI
2004
IEEE
14 years 6 months ago
Probabilistic ICA for fMRI
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...
Christian Beckmann
MICCAI
2010
Springer
13 years 3 months ago
Generalized Sparse Classifiers for Decoding Cognitive States in fMRI
The high dimensionality of functional magnetic resonance imaging (fMRI) data presents major challenges to fMRI pattern classification. Directly applying standard classifiers often ...
Bernard Ng, Arash Vahdat, Ghassan Hamarneh, Rafeef...
ICA
2004
Springer
13 years 10 months ago
Unraveling Spatio-temporal Dynamics in fMRI Recordings Using Complex ICA
Abstract. Independent component analysis (ICA) of functional magnetic resonance imaging (fMRI) data is commonly carried out under the assumption that each source may be represented...
Jörn Anemüller, Jeng-Ren Duann, Terrence...
ICASSP
2010
IEEE
13 years 3 months ago
Flexible complex ICA of fMRI data
Data-driven analysis methods, in particular independent component analysis (ICA) has proven quite useful for the analysis of functional magnetic imaging (fMRI) data. In addition, ...
Hualiang Li, Tülay Adali, Nicolle M. Correa, ...
ICASSP
2011
IEEE
12 years 9 months ago
Time-to-Onset latency in fMRI: Fast detection of delayed activation
A standard fMRI experiment is structured around the assumption that onset of relevant neural activity occurs almost immediately after external stimulus. Introducing deliberate len...
Victor Solo, Ben Cassidy, Christopher J. Long, Car...