Eric Larson
d902ce646a
* prototype new tutorials * updating style of tutorials_new * updating tutorials -> guide * updates to the guide * updating doc headers etc * updating titles * remove faq from navbar * FIX: Minor fixes * collapsible lists * top level section to io * rearrange IO examples * FIX: Distribute examples * Update documentation.rst * de-capitalize * FIX: Fix text [ci skip]
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2.1 KiB
ReStructuredText
78 lines
2.1 KiB
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.. include:: links.inc
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.. _installation:
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Installation
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============
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To get started with MNE, visit the installation instructions for
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the :ref:`MNE<install_python_and_mne_python>`. You can optionally also
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install :ref:`MNE-C <install_mne_c>`:
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.. container:: row
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.. container:: panel panel-default halfpad
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.. container:: panel-heading nosize
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MNE python module
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.. container:: panel-body nosize
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.. toctree::
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:maxdepth: 2
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install_mne_python
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.. container:: panel panel-default halfpad
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.. container:: panel-heading nosize
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MNE-C
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.. container:: panel-body nosize
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.. toctree::
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:maxdepth: 2
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install_mne_c
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.. container:: row
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.. container:: panel panel-default
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.. container:: panel-heading nosize
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Historical notes
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.. container:: panel-body nosize
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MNE started as tool written in C by Matti Hämäläinen while at MGH in
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Boston.
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- :ref:`MNE-C <c_reference>` is Matti's C code. Historically, MNE was
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a software package for computing cortically constrained Minimum Norm
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Estimates from MEG and EEG data.
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- The MNE python module was built in the Python programming language to
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reimplement all MNE-C’s functionality, offer transparent scripting,
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and extend MNE-C’s functionality considerably (see left). Thus it is
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the primary focus of this documentation.
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- :ref:`ch_matlab` is available mostly to allow reading and writing
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FIF files.
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- :ref:`mne_cpp` aims to provide modular and open-source tools for
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real-time acquisition, visualization, and analysis. It provides
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a :ref:`separate website <mne_cpp>` for documentation and releases.
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The MNE tools are based on the FIF file format from Neuromag.
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However, MNE can read native CTF, BTI/4D, KIT and various
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EEG formats (see :ref:`IO functions <ch_convert>`).
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If you have been using MNE-C, there is no need to convert your fif
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files to a new system or database -- MNE works nicely with
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the historical fif files.
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