ICA cleaning: Difference between revisions
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==ICA Background==
Independent
https://scikit-learn.org/stable/auto_examples/decomposition/plot_ica_blind_source_separation.html#sphx-glr-auto-examples-decomposition-plot-ica-blind-source-separation-py
https://labeling.ucsd.edu/tutorial/labels
https://www.frontiersin.org/articles/10.3389/fnhum.2013.00338/full
##Cleaning Data##▼
https://mne.tools/stable/auto_tutorials/preprocessing/40_artifact_correction_ica.html#sphx-glr-auto-tutorials-preprocessing-40-artifact-correction-ica-py
MEGnet:
https://github.com/nih-megcore/MegNET_2020
==MEGnet 2022:==
conda yaml file:
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Latest revision as of 17:14, 7 November 2022
ICA Background
Labelling Components
https://labeling.ucsd.edu/tutorial/labels
https://www.frontiersin.org/articles/10.3389/fnhum.2013.00338/full
Cleaning Data
MEGnet Automated Cleaning:
MEGnet: https://github.com/nih-megcore/MegNET_2020
MEGnet 2022:
conda yaml file: