mne-bids 0.1

Experimental code for BIDS using MNE.

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