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Functional Magnetic Resonance Imaging (fMRI) has led to an enormous growth in the study of cognitive neuroanatomy, and combined with advances in high-field electrophysiology (And Other Methods), has led to a fast-growing field of human neuroscience. Technological advances in both hardware and software will lead to an ever more promising future for fMRI. The Computational Neuroscience Applications Research Infrastructure (CNARI) incorporates novel methods for maintaining, serving, and analyzing massive amounts of fMRI data. This paper describes this infrastructure and then illustrates its use on a number of actual examples in both cognitive neuroscience and neurological research. The authors believe that these advanced computational approaches will fundamentally change the future shape of cognitive brain imaging with fMRI.
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