The MEGSIM consists of experimental and simulated MEG data which can be useful for reproducing research results.
The MEGSIM files will be dowloaded automatically.
The datasets are documented in: 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. Neuroinformatics 10:141-158
from mne import read_evokeds, combine_evoked
from mne.datasets.megsim import load_data
print(__doc__)
condition = 'visual' # or 'auditory' or 'somatosensory'
# Load experimental RAW files for the visual condition
epochs_fnames = load_data(condition=condition, data_format='single-trial',
data_type='simulation', verbose=True)
# Take only 10 trials from the same simulation setup.
epochs_fnames = [f for f in epochs_fnames if 'sim6_trial_' in f][:10]
evokeds = [read_evokeds(f, verbose='error')[0] for f in epochs_fnames]
mean_evoked = combine_evoked(evokeds, weights='nave')
# Visualize the average
mean_evoked.plot()
Total running time of the script: ( 0 minutes 2.055 seconds)