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
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file mne-bids-0.1.tar.gz.
File metadata
- Download URL: mne-bids-0.1.tar.gz
- Upload date:
- Size: 19.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.18.4 setuptools/39.2.0 requests-toolbelt/0.8.0 tqdm/4.23.4 CPython/2.7.11
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 402524ef5c3aa466e601dca078ee2c379ebd0a8ba4d20792cf390e240fe47d37 |
|
| MD5 | 5bc3914b49ae5b2d8b2a59964847eb3b |
|
| BLAKE2b-256 | 85330810b89b95b0cf7164147c245a5b26dbec03dc16b712ea1f827ee14d233a |
File details
Details for the file mne_bids-0.1-py2-none-any.whl.
File metadata
- Download URL: mne_bids-0.1-py2-none-any.whl
- Upload date:
- Size: 24.1 kB
- Tags: Python 2
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.18.4 setuptools/39.2.0 requests-toolbelt/0.8.0 tqdm/4.23.4 CPython/2.7.11
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | bbf3ae9389eeb653d1bcec7c917836877e42f35be209c3df355c6a59f968bf59 |
|
| MD5 | 05abc2619792b110446b359487f51b55 |
|
| BLAKE2b-256 | 90c68e51c4fb3f5918cabeea3183bf22b03d85cdad02e6b81bb1cce2f790b9f4 |
