meg=True,
eeg=False,
eog=True,
ecg=True,
stim=False,
exclude=raw.info['bads'])
###############################################################################
# Setup ICA seed decompose data, then access and plot sources.
# Instead of the actual number of components here we pass a float value
# between 0 and 1 to select n_components by a percentage of
# explained variance.
ica = ICA(n_components=0.90,
max_n_components=100,
noise_cov=None,
random_state=0)
print ica
# get epochs
tmin, tmax, event_id = -0.2, 0.5, 1
# baseline = None
baseline = (None, 0)
reject = None
events = mne.find_events(raw, stim_channel='STI 014')
epochs = mne.Epochs(raw,
events,
event_id,
tmin,
tmax,
