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:orphan:
.. include:: links.inc
.. _installation:
Installation
============
To get started with MNE, visit the installation instructions for
the :ref:`MNE<install_python_and_mne_python>`. You can optionally also
install :ref:`MNE-C <install_mne_c>`:
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MNE python module
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.. toctree::
:maxdepth: 2
install_mne_python
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MNE-C
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.. toctree::
:maxdepth: 2
install_mne_c
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Historical notes
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MNE started as tool written in C by Matti Hämäläinen while at MGH in
Boston.
- :ref:`MNE-C <c_reference>` is Matti's C code. Historically, MNE was
a software package for computing cortically constrained Minimum Norm
Estimates from MEG and EEG data.
- The MNE python module was built in the Python programming language to
reimplement all MNE-C’s functionality, offer transparent scripting,
and extend MNE-C’s functionality considerably (see left). Thus it is
the primary focus of this documentation.
- :ref:`ch_matlab` is available mostly to allow reading and writing
FIF files.
- :ref:`mne_cpp` aims to provide modular and open-source tools for
real-time acquisition, visualization, and analysis. It provides
a :ref:`separate website <mne_cpp>` for documentation and releases.
The MNE tools are based on the FIF file format from Neuromag.
However, MNE can read native CTF, BTI/4D, KIT and various
EEG formats (see :ref:`IO functions <ch_convert>`).
If you have been using MNE-C, there is no need to convert your fif
files to a new system or database -- MNE works nicely with
the historical fif files.
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