add new mne python module

content/en/modules/mne_python/index.md

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+---
+type: "modules" # DON'T TOUCH THIS ! :)
+
+# Title of your project (we like creative title)
+title: "Working with MNE-Python and EEG-BIDS"
+
+# Your project GitHub repository URL
+github_repo:
+
+# If you are working on a project that has website, indicate the full url including "https://" below or leave it empty.
+website:
+
+# List +- 4 keywords that best describe your project within []. Note that the project summary also involves a number of key words. Those are listed on top of the [github repository](https://github.com/PSY6983-2021/project_template), click `manage topics`.
+# Please only lowercase letters
+tags: [MNE, python, EEG, BIDS, brain dynamics]
+
+# Summarize your project in < ~75 words. This description will appear at the top of your page and on the list page with other projects..
+
+summary: "This repo includes tutorial for Working with MNE-Python and EEG-BIDS."
+
+# If you want to add a cover image (listpage and image in the right), add it to your directory and indicate the name
+# below with the extension.
+image: "brain_dynamics.gif"
+---
+<!-- This is an html comment and this won't appear in the rendered page. You are now editing the "content" area, the core of your description. Everything that you can do in markdown is allowed below. We added a couple of comments to guide your through documenting your progress. -->
+
+## Information
+
+The estimated time to complete this training module is 2.30h.
+
+The prerequisites to take this module are:
+ * Installations
+ * [Working with MNE-Python and EEG-BIDS](https://psy6983.brainhackmtl.org/modules/mne_python/) module.
+
+Contact Davide Momi if you have questions on this module, or if you want to check that you completed successfully all the exercises.
+
+
+## Resources
+This module was presented by Davide Momi during the [Brainhack Toronto](https://brainhackto.github.io/global-toronto-12-2022/), and the associated notebooks are available [here](https://github.com/Davi1990/mne_eeg_workshop)
+
+The video of the presentation is available below (1h33):
+<iframe width="560" height="315" src="https://www.youtube.com/embed/du1XezR246w" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen></iframe>
+
+## Tutorial
+To run the code locally please follow the instructions
+ * Download the folder using:
+```
+git clone https://github.com/Davi1990/mne_eeg_workshop/
+```
+
+ * Install the required dependencies using:
+```
+pip install -r requirements.txt
+```
+
+ * Download the required data folder at: https://drive.google.com/drive/folders/1DO-dXfIXzGDzmgcWRMtYvX30ZECYzRYd?usp=sharing
+
+ * Download the raw file at: https://drive.google.com/file/d/1-RSyaXp2Chx0zLuaAnlgK8o1VMo3enx8/view?usp=share_link
+
+ * Start a new jupyter notebook
+ * Watch the video and  run the cells in the notebook
+
+## Exercise
+
+1. **Read through the notebook running all the cells**
+2. **Complete the exercises in the notebook**
+
+**Exercise 1** Check information of the MNE-BIDS file that was saved as part of Tutorial 01.
+
+       How many channels do you have for each type of sensors?
+       What is the sampling frequency?
+       Have the data been filtered?
+       What is the frequency of the line noise?
+       Is there any bad channel?
+
+**Exercise 2** Import a new epoched file and generating Figure of both evoked response and principal components
+
+        Read the file 'sub-s01_task-faceFO_eeg.fif' as an epoched object
+        Make a joint plot of the time-series?
+        Create a variable with the array of the evoked data
+        Decompose the data using SVD (use the function numpy.linalg.svd)
+        Make a matplotlib figure with 1 row and 5 columns and plot the first 5 components using the function mne.viz.plot_topomap
+
+
+ * Follow up with Natasha Clarke to validate you completed the exercise correctly.
+ * :tada: :tada: :tada: you completed this training module! :tada: :tada: :tada:
+
+
+ ## More resources
+
+ - Other great resources to get started with plotting in python:
+    -  [MNE-Python](https://mne.tools/stable/auto_tutorials/index.html)
+    -  [Neurodesk](https://www.neurodesk.org/tutorials/electrophysiology/eeg_mne-python/)
+
+ <iframe width="560" height="315" src="https://www.youtube.com/embed/MYcCRhEb5Ic" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen></iframe>