Difference between revisions of "MNE Python Tutorial 2021"

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=Steps to prepare prior to tutorial=
 
=Steps to prepare prior to tutorial=
 
Prepare python environment <br>
 
Prepare python environment <br>
   IF YOU DO NOT HAVE MINICONDA/ANACONDA INSTALLED -  have IT install miniconda under your user account
+
   !!IF YOU DO NOT HAVE MINICONDA/ANACONDA INSTALLED -  have IT install miniconda under your user account!!
 +
  !!If you already have an mne environment, you can use another name for the environment and adjust accordingly!!
 
    
 
    
 
   conda install -n base mamba -c conda-forge -y   
 
   conda install -n base mamba -c conda-forge -y   

Revision as of 12:31, 24 September 2021

Steps to prepare prior to tutorial

Prepare python environment

 !!IF YOU DO NOT HAVE MINICONDA/ANACONDA INSTALLED -  have IT install miniconda under your user account!!
 !!If you already have an mne environment, you can use another name for the environment and adjust accordingly!!
 
 conda install -n base mamba -c conda-forge -y  
 mamba create -n mne conda-forge::mne main::pip main:jupyter -y
 conda activate mne

Download the sample data

NIMH Users: Download here

 scp <USERNAME>@helix.nih.gov:/data/NIMH_scratch/mne_tutorial/mne_tutorial.tar.gz <NEW PATH>
 cd <NEW PATH>
 tar -xvf mne_tutorial.tar.gz

NON-NIH MEG Users: Download from MEG Data server

 The data is located on the MEG data server and is accessible by all users with accounts
 An email will be sent with the path to the data

Start Jupyter Notebook

 cd <NEW PATH>/nimh_tutorial_data
 jupyter notebook mne_tutorial_10_01_21.ipynb