Search for patterns of functional specificity in the brain: A nonparametric hierarchical Bayesian model for group fMRI data

NeuroImage

Volumn 59, Issue 2, 2012, Pages 1348-1368

  Lashkari, Danial ^a   Sridharan, Ramesh ^a   Vul, Edward ^b   Hsieh, Po Jang ^b   Kanwisher, Nancy ^b   Golland, Polina ^a  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^b MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Category selectivity; Clustering; FMRI; High level vision

Indexed keywords

ALGORITHM; ARTICLE; AUTOMATION; BAYES THEOREM; BRAIN DEPTH STIMULATION; BRAIN FUNCTION; CONTROLLED STUDY; FUNCTIONAL MAGNETIC RESONANCE IMAGING; IMAGE ANALYSIS; IMAGE PROCESSING; IMAGE RECONSTRUCTION; MATHEMATICAL MODEL; NONPARAMETRIC TEST; OPTICAL RESOLUTION; PRIORITY JOURNAL; REPRODUCIBILITY; SIGNAL DETECTION; STIMULUS RESPONSE; VOXEL BASED MORPHOMETRY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BAYES THEOREM; EVOKED POTENTIALS, VISUAL; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; VISUAL CORTEX; VISUAL PERCEPTION;

EID: 83055184786     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2011.08.031     Document Type: Article

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