The general linear model has provided the dominant framework in which functional
neuroimaging data have been analyzed. In this talk, I will briefly introduce linear
statistical methods and how they have been applied to fMRI data. I will then discuss
empirical tests of the assumptions underlying the approach, focussing on whether the
brain's hemodynamic response is a linear function in space and time of some measure
of neural activity.
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