If you want to run wb_command (the command line program) from the terminal, you
should execute the file “wb_command” contained in the distribution’s
“bin_macosx64” directory
(/workbench/bin_macosx64/wb_command).
wb_command.app is an OS X Bundle (a directory that contains the program and
Hi,
I'm trying to run wb_command.app on OSX 10.11.1 but the app doesn't respond
or the terminal.
I'm running on root:xnu-3247.10.11~1/RELEASE_X86_64 x86_64
Do I miss a first step?
Thanks for the help
David
On Wed, Nov 25, 2015 at 12:00 AM, Timothy Coalson wrote:
> This part of
This part of your call:
, 'readdata', false);
is telling ft_read_cifti to not load the data matrix, that is why it isn't
there.
If you are just as comfortable in C++, then yes, CiftiLib is likely the
best solution, it is directly based on the code we use in connectome
workbench for cifti files.
Hello,
With fieldTrip reading using this line
mycifti = ft_read_cifti(
'/Users/David/Desktop/HumanConnectomeProject/HCP_S500_R468_rfMRI_MIGP_d4500ROW_zcorr/HCP_S500_R468_MIGPd4500ROW.dconn.nii',
'readdata', false);
I get: dimond (pos_pos), hdr (1x1 struct), unit ('mm'), brain structure,
o: hcp-users@humanconnectome.org
Subject: [HCP-Users] Trying to read HCP_S500_R468_MIGPd4500ROW.dconn.nii
Hello,
I work in Specs Lab in Pompeu Fabra University as a Phd student.
I'm building an app for connectome visualisation and brain activity simulation
called BrainX3. The first version use Hagmann d
mber 23, 2015 11:18 AM
> *To:* hcp-users@humanconnectome.org
> *Subject:* [HCP-Users] Trying to read HCP_S500_R468_MIGPd4500ROW.dconn.nii
>
> Hello,
> I work in Specs Lab in Pompeu Fabra University as a Phd student.
> I'm building an app for connectome visualisation and brain act
To get a dconn loaded in matlab, you of course need to have a large amount
of available memory. Freezing is what I would expect if you don't have
enough memory, and start using a lot of swap space (some ways of loading
might initially load it as double precision, and need twice the memory).
As
Hello,
I work in Specs Lab in Pompeu Fabra University as a Phd student.
I'm building an app for connectome visualisation and brain activity
simulation called BrainX3. The first version use Hagmann dataset based on
998 nodes and ~14.000 bidirectional connections.
For the new version I would like