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The dataset used is the null/rest dataset described in
section 7, although, here we do not add artificial
activation to the data. We also need to decide on an arbitrary
assumed response for modelling the signal, for this we use the
random ISI design also used in section 7.
We can then use the full model (including the best noise model and
full HRF modelling with ARD on the undershoots) on the dataset.
For each voxel we obtain the marginal posterior probability over
the activation height, . We can then compute the
probability,
, for each voxel. We then compute the number of
``positive'' voxels with
, and plot
against . This is repeated for a range of .