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Update examples/dynamic/mne_var_connectivity.py
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adam2392 authored Aug 31, 2022
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# Estimate significant connections using a time-shuffled null distribution
# ------------------------------------------------------------------------
# We can maintain autocorrelations by shuffling the channels in time relative
# to one another as explained in :ref:`RecanatesiEtAl2022`. The pairwise
# to one another as explained in :footcite:`RecanatesiEtAl2022`. The pairwise
# correlations will then be an estimate of connectivity under a null model
# of uncorrelated neural data.

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