2015
General linear models under Rician noise for fMRI data
ICASSP 2015accepted
When analyzing fMRI data to study the brain process, one faces two challenges: (i) the correct noise distribution and (ii) the brain dynamics. In general, the brain dynamics are modeled under the simplifying, but wrong assumption that the noise follows a Gaussian distribution. In this paper, we mode…