In [1]:

import mne

In [2]:

fname = "/home/jona/be0008_EM_SUBTRACTED.set"
event_id = {'L_saccade':10001, 'L_fixation':10002, 'L_blink':10003}

In [3]:

raw = mne.io.read_raw_eeglab(fname, event_id=event_id)

The following EEG sensors did not have a position specified in the selected montage: ['L_GAZE_X', 'L_GAZE_Y']. Their position has been left untouched.
Some events overlap/occur at the same time sample. The resulting Raw object will contain the event information in a stimulus channel. Stimulus channels can only carry one event code per time point, so some events will be lost. You can use the function `mne.io.read_eeglab_events`to extract the full events array (which can then be passed to e.g. mne.Epochs.
Reading /home/jona/be0008_EM_SUBTRACTED.fdt

<ipython-input-3-88d40a693d9c>:1: RuntimeWarning: The following EEG sensors did not have a position specified in the selected montage: ['L_GAZE_X', 'L_GAZE_Y']. Their position has been left untouched.
  raw = mne.io.read_raw_eeglab(fname, event_id=event_id)
<ipython-input-3-88d40a693d9c>:1: RuntimeWarning: Some events overlap/occur at the same time sample. The resulting Raw object will contain the event information in a stimulus channel. Stimulus channels can only carry one event code per time point, so some events will be lost. You can use the function `mne.io.read_eeglab_events`to extract the full events array (which can then be passed to e.g. mne.Epochs.
  raw = mne.io.read_raw_eeglab(fname, event_id=event_id)

In [4]:

events = mne.find_events(raw, min_duration=0, shortest_event=0)
events2 = mne.io.eeglab.eeglab.read_eeglab_events(fname, event_id=event_id)
print(len(events), len(events2))

11751 events found
Events id: [   10    12   100   110   130   200   210   230 10001 10002 10003]
11751 11762

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