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BUG: Calculating evoked ica sources after exclusion.
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#!/usr/bin/env python | |
import matplotlib.pylab as pl | |
import numpy as np | |
import mne | |
from mne.fiff import Raw | |
from mne.preprocessing.ica import ICA | |
from mne.datasets import sample | |
data_path = sample.data_path() | |
raw_fname = data_path + '/MEG/sample/sample_audvis_filt-0-40_raw.fif' | |
raw = Raw(raw_fname, preload=True) | |
picks = mne.fiff.pick_types(raw.info, meg=True) | |
tmin, tmax, event_id = -0.2, 0.5, 1 | |
baseline = (None, 0) | |
reject = None | |
events = mne.find_events(raw, stim_channel='STI 014') | |
epochs = mne.Epochs(raw, events, event_id, tmin, tmax, proj=False, picks=picks, | |
baseline=baseline, preload=True, reject=reject) | |
ica = ICA(n_components=0.90, n_pca_components=64, max_pca_components=100, | |
noise_cov=None, random_state=0) | |
ica.decompose_epochs(epochs) | |
ica.exclude = [33] # Choosing random pick to exclude | |
sources = ica.sources_as_raw(raw) | |
ica_picks = mne.fiff.pick_types(sources.info, misc=True, exclude='bads') | |
ica_epochs = mne.Epochs(sources, events, event_id, tmin, tmax, picks=ica_picks, preload=True, proj=False) | |
ica_evoked = ica_epochs.average(ica_picks) | |
pl.figure() | |
ica_evoked.plot(titles=dict(misc='ICA sources')) |
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