Next: Acknowledgements
Up: tr04mw2
Previous: Discussion
We have proposed a technique for firstly choosing a basis set, and
then the means to constrain the subspace spanned by the basis set
to only include sensible HRF shapes within a GLM framework. We can
carry out inference using Variational Bayes which also performs
adaptive spatial regularisation of temporal autocorrelation.
Constraining the subspace spanned by the basis set allows for far
superior separation of activating voxels from non-activating
voxels in FMRI data. We used spatial mixture modelling to produce
final probabilities of activation, and demonstrated on FMRI data
the increased sensitivity produced.
Subsections