A nice database of volumes of interest created by Finn Arup Nielsen and colleagues. The volumes are in MNI space (saved as analyze images) and are based on BrainMap data. For more information see:
http://hendrix.imm.dtu.dk/services/jerne/ninf/voi.html
"Research Gives me such a thrill...but Data Assertions won't pay my bills...I need funding...that's what I want...that's what I want now," ---Billy Gordon
"Money can't buy everything its true...but what it can't buy, I can't use...I need MONEY...That's what I want now!" (More Barrett Strong)
"They say the best things in life are free....but you can give them to the birds and bees...I want MONEY, that's what I want!" ---Barrett Strong (Motown Records Song Writer)
Mo' NIH FUNDING
MO' Funding
This is the next list
"There can be no mercy, without money,"
---Sister John Mary-Margaret Vedro, O.S.C.
CFO, Holy Maternity of Mary Hospital Systems & Golgotha Motuary Services
Likewise, Research is easier, when one is not overwrought with fiscal concerns. I have acquaintances at the NIH, who apprise me of funding opportunities. I also have acquaintances at other funding sources. I would like to share them in support of our collective work. I will begin with the ones sent after Thanksgiving and go to the present. Good luck, and If I can be of further assistance... wgordon@mednet.ucla.edu or just drop by C9-426 (next to Alex and Massoud)
I ran an FSL group analysis of 4 subjects with very long runs, and 7 copes.
Regular feat on Miles - 8h55m
feat_sge (FLAME split with Sun Grid Engine across 10 processors) - 1h13m
That's a speed increase of approx. 86%. For some reason the analysis only used 10 processors so this is fairly close to linear, which would be 90%. It should be able to take advantage of 14 (possibly 16 depending on configuration). I reran Feat on Miles just to duplicate the results, and got a time of 8h44m, which is a difference of about 2%. I also reran feat_sge and got 1h8m, a difference of about 10%. These increases simply represent what happens when nothing else is happening on Miles, as I was still working on Miles during the first runs.
and welcome to our new blog for the Apple Cluster Project.