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Co-authored-by: Eric Larson <[email protected]>
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# Config files for test datasets | ||
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!!! warning | ||
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The documentation build scripts (`docs/source/examples/gen_examples.py`) | ||
assume a config file name of `config_{name_of_dataset}.py` or | ||
`config_{name-of-dataset}.py`. If you want a dataset to be shown in the docs as an | ||
example dataset, you **must** name the config file accordingly (and also, add the | ||
dataset to `docs/mkdocs.yml` in the list of `Examples`). |
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"""Funloc data.""" | ||
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from pathlib import Path | ||
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data_root = Path("~/mne_data").expanduser().resolve() | ||
bids_root = data_root / "MNE-funloc-data" | ||
deriv_root = data_root / "derivatives" / "mne-bids-pipeline" / "MNE-funloc-data" | ||
subjects_dir = bids_root / "derivatives" / "freesurfer" / "subjects" | ||
task = "funloc" | ||
ch_types = ["meg", "eeg"] | ||
data_type = "meg" | ||
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# filter | ||
l_freq = None | ||
h_freq = 50.0 | ||
# maxfilter | ||
use_maxwell_filter: bool = True | ||
crop_runs = (40, 190) | ||
mf_st_duration = 60.0 | ||
# SSP | ||
n_proj_eog = dict(n_mag=1, n_grad=1, n_eeg=2) | ||
n_proj_ecg = dict(n_mag=1, n_grad=1, n_eeg=0) | ||
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# Epochs | ||
epochs_tmin = -0.2 | ||
epochs_tmax = 0.5 | ||
epochs_decim = 5 # 1000 -> 200 Hz | ||
baseline = (None, 0) | ||
conditions = [ | ||
"auditory/standard", | ||
# "auditory/deviant", | ||
"visual/standard", | ||
# "visual/deviant", | ||
] | ||
decode = False | ||
decoding_time_generalization = False | ||
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# contrasts | ||
# contrasts = [("auditory", "visual")] |
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