This is a collection of random notebooks, including simulations and checks to verify (in the size of 1 notebook) aspects of fMRI analysis in general, smoothness stuff, peaks in random fields, variables related to neuropower etc. The folder collections_I_need_to_sort looks worse than the average garbage bin, but the avid investigator can find some useful stuff in there. I've started cleaning and annotating, so here are a few things you can find here:
- anticorrelations (
R): Sometimes anticorrelations are in the advantage for an fMRI design. This notebook gives an overview and simulations showing this effect. - validating_fmri (mostly
R, preparation inpython): In December 2017 I gave a short course on Using R to analyse fMRI data and Validating fMRI using real data in Leiden to biostatistics grad students. All materials are here