Experimental code for BIDS using MNE.
Project description
MNE-BIDS
This is a repository for creating BIDS-compatible datasets with MNE.
Installation
We recommend the
Anaconda Python distribution.
Next to numpy
, scipy
, and matplotlib
that are included in the standard
anaconda distribution, you will need to install the following dependencies
to be able to use mne_bids
:
$ pip install pandas
$ pip install -U https://api.github.com/repos/mne-tools/mne-python/zipball/master
Then install mne_bids
:
$ pip install -U mne-bids
If you do not have administrator privileges on the computer, use the --user
flag with pip
. To upgrade, use the --upgrade
flag provided by pip
.
To check if everything worked fine, you can do:
$ python -c 'import mne_bids'
and it should not give any error messages.
Command Line Interface
In addition to import mne_bids
, you can use the command line interface.
Example :
$ mne_bids raw_to_bids --subject_id sub01 --task rest --raw_file data.edf --output_path new_path
Cite
If you use mne-bids
in your work, please cite:
Niso, G., Gorgolewski, K.J., Bock, E., Brooks, T.L., Flandin, G., Gramfort, A.,
Henson, R.N., Jas, M., Litvak, V., Moreau, J., Oostenveld, R., Schoffelen, J.,
Tadel, F., Wexler, J., Baillet, S. (2018). MEG-BIDS, the brain imaging data
structure extended to magnetoencephalography. Scientific Data, 5, 180110.
http://doi.org/10.1038/sdata.2018.110
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