Hi HCP Team,
I've been looking for methodological details on the recognition memory task
that occurred after the scan, but I can't find them anywhere. The Barch et al.
2013 paper says it reports the specifics in the supplemental materials.
However, there is no mention of the recognition memory
Hi
This normalisation isn't directly part of the actual L2 regularisation - it is
just setting the overall scaling of the covariance matrix, so that the effect
of choice of regularisation parameter is not dependent on the overall scaling
of the original data.
The scaling is just the RMS of
Hi pals,
I have a question about the way partial correlations were estimated for the
megatrawl using FSLnets. Going through the 'ridgep' section of
nets_netmats.m, it looks like the covariance matrix for each subject is
normalized by the square root of the mean of the variances squared - yes,
no,
This thread might be helpful to you:
http://www.mail-archive.com/hcp-users@humanconnectome.org/msg03097.html
The data in Amazon S3 is not available in download packages as they are in
ConnectomeDB. Instead data are organized in the directory structure as all the
unzipped data unpacks for each
Nope, you can do the tractography directly from the surfaces using FSL:
https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/FDT/UserGuide#Using_surfaces Use the
surfaces in ${StudyFolder}/${Subject}/T1w/fsaverage_LR32k. White surfaces are
good for counting and pial surfaces are good for stopping. There
Hi,
Is there an easy way to download working memory data for the unrelated
subjects group from the S3 browser?
I'm having some trouble with Aspera Connect, the connection fails often and
I have to restart the whole procedure. The downloading is much faster on
the S3 browser, but I can't find an
Dear HCP team,
We are interested in using both task fMRI and diffusion MRI data to study
white matter pathways between functional cortical regions. We are planning
to use task fMRI activation to define several ROIs as seeds for dMRI
tractography. We have several questions below and hope someone
