saner config

mne_bids_pipeline/tests/configs/config_funloc.py

@@ -1,24 +1,36 @@
 """Funloc data."""
 
-bids_root = "~/mne_data/MNE-funloc-data"
-deriv_root = "~/mne_data/derivatives/mne-bids-pipeline/MNE-funloc-data"
+from pathlib import Path
+
+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"
 
-# Preprocessing
+# filter
 l_freq = None
-h_freq = 40.0
+h_freq = 50.0
+# maxfilter
 use_maxwell_filter: bool = True
-
+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)
 
 # Epochs
-epochs_tmin = -0.08
-epochs_tmax = 0.18
-epochs_decim = 10  # 2000->200 Hz
+epochs_tmin = -0.2
+epochs_tmax = 0.5
+epochs_t_adjust = -4.0e-3  # TODO is there a way to do this in MBP?
+epochs_decim = 5  # 1000 -> 200 Hz
 baseline = (None, 0)
 conditions = [
     "auditory/standard",
     "auditory/deviant",
     "visual/standard",
     "visual/deviant",
 ]
+# contrasts
+contrasts = [("auditory", "visual")]