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| The best way to get into it is by following the[[http://martinos.org/mne/dev/tutorials.html|tutorials]] and [[http://martinos.org/mne/dev/auto_examples/index.html|examples]] on the [[http://martinos.org/mne/dev/getting_started.html|MNE-Python web-site.]] You can download their sample data set and get straight to work. | Previous versions include 1.0.3 and 0.24 downwards. To use mne-python with Spyder, type {{{ $ spyder_mne 1.9.0 }}} Similary for Jupyter notebooks: {{{ $ jupyter_mne 1.9.0 }}} In order to list all conda environments, including different versions of MNE-Python, type the following in a Linux terminal window: {{{ $ conda env list }}} You can then replace the version number in the commands above (e.g. mne_python 1.2.1, or spyder_mne 0.22, etc.). The best way to get into it is by following the[[http://martinos.org/mne/dev/tutorials.html|tutorials]] and [[http://martinos.org/mne/dev/auto_examples/index.html|examples]] on the [[http://martinos.org/mne/dev/getting_started.html|MNE-Python web-site.]] You can download their sample data set and get straight to work. You will need some basic knowledge of [[http://wiki.mrc-cbu.cam.ac.uk/meg/Beginners|Python]] to use this software. |
EEG/MEG Analysis in MNE-Python
MNE-Python is installed at the CBU, and can be started using
$ mne_python 1.9.0
Previous versions include 1.0.3 and 0.24 downwards.
To use mne-python with Spyder, type
$ spyder_mne 1.9.0
Similary for Jupyter notebooks:
$ jupyter_mne 1.9.0
In order to list all conda environments, including different versions of MNE-Python, type the following in a Linux terminal window:
$ conda env list
You can then replace the version number in the commands above (e.g. mne_python 1.2.1, or spyder_mne 0.22, etc.).
The best way to get into it is by following thetutorials and examples on the MNE-Python web-site. You can download their sample data set and get straight to work.
You will need some basic knowledge of Python to use this software.
At the CBU, MNE-Python is supported by Olaf Hauk.