Metadata-Version: 2.1
Name: openmeeg
Version: 2.5.15
Summary: Forward problems solver in the field of EEG and MEG.
Maintainer-email: Alexandre Gramfort <alexandre.gramfort@inria.fr>
License: CECILL-B
Project-URL: Homepage, http://openmeeg.github.io
Project-URL: Download, http://github.com/openmeeg/openmeeg
Project-URL: Bug Tracker, https://github.com/openmeeg/openmeeg/issues
Project-URL: Documentation, https://openmeeg.github.io
Project-URL: Source code, https://github.com/openmeeg/openmeeg
Keywords: neuroscience,neuroimaging,MEG,EEG,ECoG,sEEG,iEEG,brain
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved
Classifier: Programming Language :: Python
Classifier: Topic :: Software Development
Classifier: Topic :: Scientific/Engineering
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3.10
Description-Content-Type: text/x-rst
Requires-Dist: numpy

OpenMEEG: forward problems solver in the field of EEG and MEG
=============================================================

The OpenMEEG software is a C++ package for solving the forward
problems of electroencephalography (EEG) and magnetoencephalography (MEG).

OpenMEEG is distributed under the French opensource license CeCILL-B. It is
intended to give users the freedom to modify and redistribute the software.
It is therefore compatible with popular opensource licenses such as the GPL
and BSD licenses. The CeCILL-B license imposes to anybody distributing a
software incorporating OpenMEEG the obligation to give credits (by citing the
appropriate publications), in order for all contributions to be properly
identified and acknowledged.

Cite this software
------------------

The references to be acknowledged are ::

    Gramfort A, Papadopoulo T, Olivi E, Clerc M. OpenMEEG: opensource software for quasistatic
    bioelectromagnetics. Biomedical engineering online (2010) vol. 9 (1) pp. 45

    Kybic J, Clerc M, Abboud T, Faugeras O, Keriven R, Papadopoulo T. Generalized head models for MEG/EEG: boundary element method
    beyond nested volumes. Phys. Med. Biol. (2006) vol. 51 pp. 1333-1346

.. image:: https://raw.githubusercontent.com/openmeeg/openmeeg.github.io/source/_static/inria.png
