phantom | ||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
trial_type | subject | run | dip01 | dip02 | dip03 | dip04 | dip05 | dip06 | dip07 | dip08 | dip09 | dip10 | dip11 | dip12 | dip13 | dip14 | dip15 | dip16 | dip17 | dip18 | dip19 | dip20 | dip21 | dip22 | dip23 | dip24 | dip25 | dip26 | dip27 | dip28 | dip29 | dip30 | dip31 | dip32 | dip33 | dip34 | dip35 | dip36 | dip37 | dip38 | dip39 | dip40 | dip41 | dip42 | dip43 | dip44 | dip45 | dip46 | dip47 | dip48 | dip49 | |
01 | 01 | 21 | 21 | 21 | 21 | 21 | 21 | 21 | 21 | 21 | 21 | 21 | 21 | 21 | 21 | 21 | 21 | 21 | 21 | 21 | 21 | 21 | 21 | 21 | 21 | 21 | 21 | 21 | 21 | 21 | 21 | 21 | 21 | 21 | 21 | 21 | 21 | 21 | 21 | 21 | 21 | 21 | 21 | 21 | 21 | 21 | 21 | 21 | 21 | 21 |
1 rows × 51 columns
General | ||
---|---|---|
Filename(s) | sub-01_task-phantom_ave.fif | |
MNE object type | Evoked | |
Measurement date | 2023-08-31 at 04:32:40 UTC | |
Participant | sub-01 | |
Experimenter | mne_anonymize | |
Acquisition | ||
Aggregation | average of 1 epochs | |
Condition | Grand average: dip01 | |
Time range | -0.080 – 0.180 s | |
Baseline | -0.080 – 0.000 s | |
Sampling frequency | 200.00 Hz | |
Time points | 53 | |
Channels | ||
Magnetometers | ||
Head & sensor digitization | Not available | |
Filters | ||
Highpass | 0.03 Hz | |
Lowpass | 40.00 Hz |
General | ||
---|---|---|
Filename(s) | sub-01_task-phantom_ave.fif | |
MNE object type | Evoked | |
Measurement date | 2023-08-31 at 04:32:40 UTC | |
Participant | sub-01 | |
Experimenter | mne_anonymize | |
Acquisition | ||
Aggregation | average of 1 epochs | |
Condition | Grand average: dip13 | |
Time range | -0.080 – 0.180 s | |
Baseline | -0.080 – 0.000 s | |
Sampling frequency | 200.00 Hz | |
Time points | 53 | |
Channels | ||
Magnetometers | ||
Head & sensor digitization | Not available | |
Filters | ||
Highpass | 0.03 Hz | |
Lowpass | 40.00 Hz |
General | ||
---|---|---|
Filename(s) | sub-01_task-phantom_ave.fif | |
MNE object type | Evoked | |
Measurement date | 2023-08-31 at 04:32:40 UTC | |
Participant | sub-01 | |
Experimenter | mne_anonymize | |
Acquisition | ||
Aggregation | average of 1 epochs | |
Condition | Grand average: dip25 | |
Time range | -0.080 – 0.180 s | |
Baseline | -0.080 – 0.000 s | |
Sampling frequency | 200.00 Hz | |
Time points | 53 | |
Channels | ||
Magnetometers | ||
Head & sensor digitization | Not available | |
Filters | ||
Highpass | 0.03 Hz | |
Lowpass | 40.00 Hz |
General | ||
---|---|---|
Filename(s) | sub-01_task-phantom_ave.fif | |
MNE object type | Evoked | |
Measurement date | 2023-08-31 at 04:32:40 UTC | |
Participant | sub-01 | |
Experimenter | mne_anonymize | |
Acquisition | ||
Aggregation | average of 1 epochs | |
Condition | Grand average: dip37 | |
Time range | -0.080 – 0.180 s | |
Baseline | -0.080 – 0.000 s | |
Sampling frequency | 200.00 Hz | |
Time points | 53 | |
Channels | ||
Magnetometers | ||
Head & sensor digitization | Not available | |
Filters | ||
Highpass | 0.03 Hz | |
Lowpass | 40.00 Hz |
General | ||
---|---|---|
Filename(s) | sub-01_task-phantom_ave.fif | |
MNE object type | Evoked | |
Measurement date | 2023-08-31 at 04:32:40 UTC | |
Participant | sub-01 | |
Experimenter | mne_anonymize | |
Acquisition | ||
Aggregation | average of 1 epochs | |
Condition | Grand average: dip49 | |
Time range | -0.080 – 0.180 s | |
Baseline | -0.080 – 0.000 s | |
Sampling frequency | 200.00 Hz | |
Time points | 53 | |
Channels | ||
Magnetometers | ||
Head & sensor digitization | Not available | |
Filters | ||
Highpass | 0.03 Hz | |
Lowpass | 40.00 Hz |
"""
KIT phantom data.
https://mne.tools/dev/documentation/datasets.html#kit-phantom-dataset
"""
bids_root = "~/mne_data/MNE-phantom-KIT-data"
deriv_root = "~/mne_data/derivatives/mne-bids-pipeline/MNE-phantom-KIT-data"
task = "phantom"
ch_types = ["meg"]
# Preprocessing
l_freq = None
h_freq = 40.0
regress_artifact = dict(
picks="meg", picks_artifact=["MISC 001", "MISC 002", "MISC 003"]
)
# Epochs
epochs_tmin = -0.08
epochs_tmax = 0.18
epochs_decim = 10 # 2000->200 Hz
baseline = (None, 0)
conditions = ["dip01", "dip13", "dip25", "dip37", "dip49"]
# Decoding
decode = True # should be very good performance
Platform Linux-5.15.0-1057-aws-x86_64-with-glibc2.35
Python 3.10.12 (main, Nov 20 2023, 15:14:05) [GCC 11.4.0]
Executable /home/circleci/python_env/bin/python3.10
CPU x86_64 (36 cores)
Memory 68.6 GB
Core
├☑ mne 1.8.0.dev79+gcaba81b9f (devel, latest release is 1.7.1)
├☑ numpy 2.0.0 (OpenBLAS 0.3.27 with 2 threads)
├☑ scipy 1.13.1
└☑ matplotlib 3.9.0 (backend=agg)
Numerical (optional)
├☑ sklearn 1.5.0
├☑ numba 0.60.0
├☑ nibabel 5.2.1
├☑ pandas 2.2.2
├☑ h5io 0.2.3
├☑ h5py 3.11.0
└☐ unavailable nilearn, dipy, openmeeg, cupy
Visualization (optional)
├☑ pyvista 0.43.10 (OpenGL 4.5 (Core Profile) Mesa 23.2.1-1ubuntu3.1~22.04.2 via llvmpipe (LLVM 15.0.7, 256 bits))
├☑ pyvistaqt 0.11.1
├☑ vtk 9.3.0
├☑ qtpy 2.4.1 (PyQt6=6.7.1)
└☐ unavailable ipympl, pyqtgraph, mne-qt-browser, ipywidgets, trame_client, trame_server, trame_vtk, trame_vuetify
Ecosystem (optional)
├☑ mne-bids 0.16.0.dev3+g0e3cbc66a
├☑ mne-bids-pipeline 1.9.0
├☑ edfio 0.4.2
├☑ pybv 0.7.5
└☐ unavailable mne-nirs, mne-features, mne-connectivity, mne-icalabel, neo, eeglabio, mffpy