add new mne python module #193
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htwangtw
previously requested changes
Apr 18, 2023
| * Download the raw file at: https://drive.google.com/file/d/1-RSyaXp2Chx0zLuaAnlgK8o1VMo3enx8/view?usp=share_link | ||
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| * Start a new jupyter notebook | ||
| * Watch the video and run the cells in the notebook |
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| * Watch the video and run the cells in the notebook | |
| * Watch the video and run the cells in the notebook |
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| 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? |
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| 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 |
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| Make a matplotlib figure with 1 row and 5 columns and plot the first 5 components using the function mne.viz.plot_topomap | ||
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| * Follow up with Natasha Clarke to validate you completed the exercise correctly. |
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Closes #187 (edit bu HTW to link PR to issue)
This is the initial pull request for adding the MNE-Python module to Brainhack-school
I wanted to thank you for taking the time to review my pull request.
I believe this could be a great opportunity for us to exchange ideas and improve the materials together
I appreciate any feedback or suggestions you may have
Thank you again, and I look forward to working with you.
Cheers
Dave