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Licence: AGPL-3.0 license
NICE project for MEG and EEG data analysis.

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NICE Tools

Get the latest code

To get the latest code using git, simply type:

git clone git://github.com/nice-tools/nice.git

If you don't have git installed, you can download a zip or tarball of the latest code: https://github.com/nice-tools/nice/archives/master

Install nice

As any Python packages, to install NICE, go in the nice source code directory and do:

python setup.py install

or if you don't have admin access to your python setup (permission denied when install) use:

python setup.py install --user

You can also install the latest latest development version with pip:

pip install -e git+https://github.com/nice-tools/nice#egg=nice-dev --user

Dependencies

The required dependencies to build the software are: * python >= 2.7 | python >= 3.4 * scipy >= 0.18.1 * numpy >= 1.11.1 * h5py >= 2.6.0

And principally, mne-python >= 0.20: http://mne-tools.github.io/stable/index.html

Some functions require pandas >= 0.7.3.

To run the tests you will also need pytest

Optimizations (optional)

Aditionally, we ship optimized versions of some algorithms. BUT they must be compiled first.

Linux (Using anaconda):

conda install gcc_linux-64

To build, go to the nice soure code directory and do:

make

MacOSX (USing anaconda):

conda install clang_osx-64

To build, go to the nice soure code directory and do:

CC=clang make

Then set backend='c' or 'openmp' instead of the defalut backend='python' in markers functions

If running on osx 10.15, then you might face this error:

/anaconda3/include/python3.7m/Python.h:25:10: fatal error: 'stdio.h' file not found

Running this command will fix it:

sudo ln -s /Library/Developer/CommandLineTools/SDKs/MacOSX.sdk/usr/include/* /usr/local/include/

Running the test suite

To run the test suite, you need pytest and the coverage modules. Run the test suite using:

pytest

from the root of the project.

Cite

If you use this code in your project, please cite:

Engemann D.A.*, Raimondo F.*, King JR., Rohaut B., Louppe G.,
Faugeras F., Annen J., Cassol H., Gosseries O., Fernandez-Slezak D.,
Laureys S., Naccache L., Dehaene S. and Sitt J.D. (2018).
Robust EEG-based cross-site and cross-protocol classification of
states of consciousness. Brain. Vol 141 (11), 3160–3178, doi:10.1093/brain/awy251

Licensing

NICE is licensed under the GNU Affero General Public License version 3:

This software is OSI Certified Open Source Software. OSI Certified is a certification mark of the Open Source Initiative.

Copyright (c) 2017, authors of NICE - All rights reserved.

  • This program is free software: you can redistribute it and/or modify it under the terms of the GNU Affero General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.
  • This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Affero General Public License for more details.
  • You should have received a copy of the GNU Affero General Public License along with this program. If not, see <http://www.gnu.org/licenses/>.
  • You can be released from the requirements of the license by purchasing a commercial license. Buying such a license is mandatory as soon as you develop commercial activities as mentioned in the GNU Affero General Public License version 3 without disclosing the source code of your own applications.
Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].