obob_mne.decoding.GeneralizedTemporalStatistics

class obob_mne.decoding.GeneralizedTemporalStatistics(data_list, stat_function=<function ttest_1samp>, popmean=None, **kwargs)

Run statistics on Temporal Generalization results.

Given a list of Temporal Generalization Results, this class calculates a statistic on the weights and returns an instance of GeneralizedTemporalArray.

get_temporal_from_training_interval(tmin, tmax)

Average the scores of a training interval.

Parameters:

• tmin (int) – Start time in seconds of the training interval to average.
• tmax (int) – End time in seconds of the training interval to average.

Returns:

data – The TemporalArray with the averaged scores.

Return type:

instance of TemporalArray

plot_scores(axes=None, show=True, cmap='Reds', colorbar=True, mask_below_chance=False, interpolation='bessel', mask_p=None)

Plot the scores as a Matrix.

Parameters:

• axes (matplotlib.axes.Axes or None, optional) – The axes where to draw the plot. If None, a new figure is created.
• show (bool, optional) – True to actually show the plot.
• cmap (str or matplotlib.colors.Colormap, optional) – The colormap.
• colorbar (bool, optional) – Whether to draw the colorbar.
• mask_below_chance (bool, optional) – If True, values below chance level get masked.
• interpolation (str, optional) – The interpolation method used.
• mask_p (float or None, optional) – If set, the plot is masked for the given p-value.