<?xml version="1.0" encoding="utf-8"?><!DOCTYPE article  PUBLIC '-//OASIS//DTD DocBook XML V4.4//EN'  'http://www.docbook.org/xml/4.4/docbookx.dtd'><article><articleinfo><title>AnalyzingData/MNE_Python</title><revhistory><revision><revnumber>11</revnumber><date>2025-03-18 11:34:33</date><authorinitials>OlafHauk</authorinitials></revision><revision><revnumber>10</revnumber><date>2023-06-07 14:09:00</date><authorinitials>OlafHauk</authorinitials></revision><revision><revnumber>9</revnumber><date>2022-08-10 15:26:00</date><authorinitials>OlafHauk</authorinitials></revision><revision><revnumber>8</revnumber><date>2022-08-10 15:25:25</date><authorinitials>OlafHauk</authorinitials></revision><revision><revnumber>7</revnumber><date>2022-07-28 10:46:03</date><authorinitials>OlafHauk</authorinitials></revision><revision><revnumber>6</revnumber><date>2022-07-28 10:32:52</date><authorinitials>OlafHauk</authorinitials></revision><revision><revnumber>5</revnumber><date>2022-07-28 10:28:46</date><authorinitials>OlafHauk</authorinitials></revision><revision><revnumber>4</revnumber><date>2020-10-23 15:33:52</date><authorinitials>OlafHauk</authorinitials></revision><revision><revnumber>3</revnumber><date>2020-08-11 13:30:45</date><authorinitials>OlafHauk</authorinitials></revision><revision><revnumber>2</revnumber><date>2016-07-07 11:48:14</date><authorinitials>OlafHauk</authorinitials></revision><revision><revnumber>1</revnumber><date>2016-07-07 11:46:43</date><authorinitials>OlafHauk</authorinitials></revision></revhistory></articleinfo><section><title>EEG/MEG Analysis in MNE-Python</title><para>MNE-Python is installed at the CBU, and can be started using </para><screen><![CDATA[$ mne_python 1.9.0]]></screen><para>Previous versions include 1.0.3 and 0.24 downwards. </para><para>To use mne-python with Spyder, type </para><screen><![CDATA[$ spyder_mne 1.9.0]]></screen><para>Similary for Jupyter notebooks: </para><screen><![CDATA[$ jupyter_mne 1.9.0]]></screen><para>In order to list all conda environments, including different versions of MNE-Python, type the following in a Linux terminal window: </para><screen><![CDATA[$ conda env list]]></screen><para>You can then replace the version number in the commands above (e.g. mne_python 1.2.1, or spyder_mne 0.22, etc.). </para><para>The best  way to get into it is by following the<ulink url="http://martinos.org/mne/dev/tutorials.html">tutorials</ulink> and <ulink url="http://martinos.org/mne/dev/auto_examples/index.html">examples</ulink> on the <ulink url="http://martinos.org/mne/dev/getting_started.html">MNE-Python web-site.</ulink> You can download their sample data set and get straight to work. </para><para>You will need some basic knowledge of <ulink url="http://wiki.mrc-cbu.cam.ac.uk/meg/Beginners">Python</ulink> to use this software. </para><para>At the CBU, MNE-Python is supported by <ulink url="http://www.mrc-cbu.cam.ac.uk/people/olaf.hauk/">Olaf Hauk</ulink>. </para></section></article>