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MNE meeting
Jan 25, 2021
Presented by: Richard Hoechenberger
Improvements:
Easier to explore raw data
mne.preprocessing.ICA
Possible to detect muscle artifact automatically (z-score based procedure)
describe
method for raw data:summary table (mean, max, std…)
allow to spot channel that can be problematic
can be exported as an excel or csv file
MNE BIDS
Python package build upon MNE
reads and writes BIDS data
great advances, currently in development
entire processing pipeline
create an html report
When you need help with MNE
see the various tutorials
ask your usage questions on the brand new forum mne.discourse.group
MNE office hours: bi-weekly video call with developers
FreeSurfer
use for source localization
the
version 7
doesn’t work on MNE, use theversion 6
for now, FreeSurfer only works on Linux: a Docker will be developed to allow to run FreeSurfer on Windows
Parallelization
want to run analysis on massive data on a remote machine
MNE team is looking into that: in the next few months it will be possible to tell MNE to process my data on a remote machine