MEGSIM single trial simulation dataset

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

../../_images/sphx_glr_plot_megsim_data_single_trial_001.png
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(time_unit='s')

Total running time of the script: ( 0 minutes 3.034 seconds)

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