mne.datasets.megsim.
load_data
(condition=’visual’, data_format=’raw’, data_type=’experimental’, path=None, force_update=False, update_path=None, verbose=None)[source]¶Get path to local copy of MEGSIM dataset type.
The MEGSIM dataset is described in [R35].
Parameters: | condition : str
data_format : str
data_type : str
path : None | str
force_update : bool
update_path : bool | None
verbose : bool, str, int, or None
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Returns: | paths : list
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Notes
For example, one could do:
>>> from mne.datasets import megsim
>>> megsim.load_data('visual', 'raw', 'experimental', os.getenv('HOME') + '/datasets')
And this would download the raw visual experimental MEGSIM dataset to the ‘datasets’ folder, and prompt the user to save the ‘datasets’ path to the mne-python config, if it isn’t there already.
References
[R35] | (1, 2) Aine CJ, Sanfratello L, Ranken D, Best E, MacArthur JA, Wallace T, Gilliam K, Donahue CH, Montano R, Bryant JE, Scott A, Stephen JM (2012) MEG-SIM: A Web Portal for Testing MEG Analysis Methods using Realistic Simulated and Empirical Data. Neuroinform 10:141-158 |
mne.datasets.megsim.load_data
¶