import warnings
warnings.filterwarnings("ignore")

def load_data(tmin, tmax):
    epochs = mne.io.read_epochs_eeglab('sampleEEGdata.mat').crop(tmin, tmax)
    return epochs

All Trials¶

In [77]:

raw = load_data(-1, 1)
values = (raw.get_data().mean(axis=0).squeeze())
evoked = mne.EvokedArray(values, raw.info, tmin=-1)

Extracting parameters from sampleEEGdata.mat...
99 matching events found
No baseline correction applied
Not setting metadata
0 projection items activated
Ready.

Plot Topographical Map at 0ms¶

In [78]:

evoked.plot_topomap(times=[0], time_unit='ms',cmap='Spectral_r');

Plot Topographical Map at 0ms, 500ms, and 1000ms¶

In [79]:

evoked.plot_topomap(times=[0, .5, 1], time_unit='ms',cmap='Spectral_r');

Plot First 5 Topographical Maps¶

In [87]:

evoked.plot_topomap(times=evoked.times[0:6], time_unit='ms',cmap='Spectral_r');

Plot Sensor Position¶

In [88]:

evoked.plot_sensors();

evoked.plot_sensors(kind='3d', ch_groups='position');

Single Trial¶

In [89]:

raw = load_data(-1, 1)
values = (raw[0].get_data().squeeze())
evoked = mne.EvokedArray(values, raw.info, tmin=-1)

Extracting parameters from sampleEEGdata.mat...
99 matching events found
No baseline correction applied
Not setting metadata
0 projection items activated
Ready.

Plot Topographical Map at 0ms¶

In [95]:

evoked.plot_topomap(times=[0], time_unit='ms',cmap='Spectral_r');

Plot Topographical Map at 0ms, 500ms, and 1000ms¶

In [96]:

evoked.plot_topomap(times=[0, .5, 1], time_unit='ms',cmap='Spectral_r');

Plot First 5 Topographical Maps¶

In [97]:

evoked.plot_topomap(times=evoked.times[0:6], time_unit='ms',cmap='Spectral_r');

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