eelbrain.datasets.get_mne_sample¶
-
eelbrain.datasets.
get_mne_sample
(tmin=- 0.1, tmax=0.4, baseline=(None, 0), sns=False, src=None, sub="modality=='A'", ori='free', snr=2, method='dSPM', rm=False, stc=False, hpf=0)¶ Load events and epochs from the MNE sample data
- Parameters
tmin (scalar) – Relative time of the first sample of the epoch.
tmax (scalar) – Relative time of the last sample of the epoch.
baseline ({None, tuple of 2 {scalar, None}}) – Period for baseline correction.
sns (bool | str) – Add sensor space data as NDVar as
ds['meg']
(defaultFalse
). Set to'grad'
to load gradiometer data.src (False | 'ico' | 'vol') – Add source space data as NDVar as
ds['src']
(defaultFalse
).sub (str | list | None) – Expression for subset of events to load. For a very small dataset use e.g.
[0,1]
.ori ('free' | 'fixed' | 'vector') – Orientation of sources.
snr (scalar) – MNE inverse parameter.
method (str) – MNE inverse parameter.
rm (bool) – Pretend to be a repeated measures dataset (adds ‘subject’ variable).
stc (bool) – Add mne SourceEstimate for source space data as
ds['stc']
(defaultFalse
).hpf (scalar) – High pass filter cutoff.
- Returns
ds – Dataset with epochs from the MNE sample dataset in
ds['epochs']
.- Return type