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FIX: A few more tweaks
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larsoner committed Mar 1, 2016
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4 changes: 2 additions & 2 deletions doc/cite.rst
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.. _cite:

Cite MNE
--------
How to cite MNE
---------------

If you use in your research the implementations provided by the MNE software you should cite:

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2 changes: 1 addition & 1 deletion doc/cited.rst
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.. _cited
.. _cited:

Publications from MNE users
===========================
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11 changes: 7 additions & 4 deletions doc/getting_started.rst
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Expand Up @@ -14,9 +14,12 @@ pipelines encompassing all phases of M/EEG data processing.
It consists of two subpackages which are fully integrated
and compatible: the original MNE-C (distributed as compiled C code)
and MNE-Python. A basic :ref:`ch_matlab` is also available mostly
to allow reading and write MNE files. For source localization
the software depends on anatomical MRI processing tools provided
by the FreeSurfer_ software.
to allow reading and write MNE files. The sister :ref:`mne_cpp` project
aims to provide modular and open-source tools for acquisition,
visualization, and analysis.

For source localization with anatomical constraints, MNE depends on
anatomical MRI processing tools provided by FreeSurfer_.

Install Python and MNE-Python
-----------------------------
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following magic method invocation to your notebook or configure your notebook
runtime accordingly::

>>> %matplotlib inline
In [1]: %matplotlib inline

If you use another Python setup and you encounter some difficulties please
report them on the MNE mailing list or on github to get assistance.
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5 changes: 2 additions & 3 deletions doc/index.rst
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Expand Up @@ -35,7 +35,7 @@ MNE includes a comprehensive `Python <https://www.python.org/>`_ package
supplemented by tools compiled from C code for the LINUX and Mac OSX
operating systems, as well as a MATLAB toolbox.
**From raw data to source estimates in about 30 lines of code:**
**From raw data to source estimates in about 30 lines of code (:ref:`try it yourself! <getting_started>`_):**
.. code:: python
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:maxdepth: 1
cite
cited
references
mne_cpp
cited
.. raw:: html
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10 changes: 9 additions & 1 deletion doc/mne_cpp.rst
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MNE with CPP
======================

MNE-CPP is a cross-platform application and algorithm C++ framework for MEG and EEG data analysis and acquisition. It provides a modular structure with many sub-libraries. These libraries can be easily integrated into your project to, e.g. provide full I/O support for the fiff-file format or files generated by the MNE suite. MNE-CPP comes with its own acquisition software, MNE-X, which can be used to acquire and process data from Elekta Neuromag MEG VectorView, BabyMEG, TMSI EEG and eegosports.
MNE-CPP is a cross-platform application and algorithm C++ framework for
MEG and EEG data analysis and acquisition. It provides a modular
structure with many sub-libraries. These libraries can be easily
integrated into your project to, e.g. provide full I/O support for the
FIF-file format or files generated by the MNE suite. MNE-CPP comes with
its own acquisition software, MNE-X, which can be used to acquire and
process data from Elekta Neuromag MEG VectorView, BabyMEG,
TMSI EEG and eegosports.

For further information please visit the MNE-CPP project pages:

* `Project Page <http://www.tu-ilmenau.de/bmti/forschung/datenanalyse-modellierung-und-inverse-verfahren/mne-cpp/>`_
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