| audiovisual | |||||||||
|---|---|---|---|---|---|---|---|---|---|
| trial_type | subject | run | Auditory/Left | Auditory/Right | Button | Smiley | Visual/Left | Visual/Right | |
| 01 | 01 | 72 | 73 | 16 | 15 | 73 | 71 | ||
1 rows × 8 columns
| General | ||
|---|---|---|
| Filename(s) | sub-01_task-audiovisual_ave.fif | |
| MNE object type | Evoked | |
| Measurement date | 1921-08-16 at 19:01:10 UTC | |
| Participant | sub-01 | |
| Experimenter | mne_anonymize | |
| Acquisition | ||
| Aggregation | average of 1 epochs | |
| Condition | Grand average: Auditory/Left | |
| Time range | -0.200 – 0.499 s | |
| Baseline | -0.200 – 0.000 s | |
| Sampling frequency | 600.61 Hz | |
| Time points | 421 | |
| Channels | ||
| Magnetometers | ||
| Gradiometers | ||
| Head & sensor digitization | 146 points | |
| Filters | ||
| Highpass | 0.30 Hz | |
| Lowpass | 40.00 Hz | |
| Projections |
PCA-v1 (on)
PCA-v2 (on) PCA-v3 (on) |
|
| General | ||
|---|---|---|
| Filename(s) | sub-01_task-audiovisual_ave.fif | |
| MNE object type | Evoked | |
| Measurement date | 1921-08-16 at 19:01:10 UTC | |
| Participant | sub-01 | |
| Experimenter | mne_anonymize | |
| Acquisition | ||
| Aggregation | average of 1 epochs | |
| Condition | Grand average: Auditory/Right | |
| Time range | -0.200 – 0.499 s | |
| Baseline | -0.200 – 0.000 s | |
| Sampling frequency | 600.61 Hz | |
| Time points | 421 | |
| Channels | ||
| Magnetometers | ||
| Gradiometers | ||
| Head & sensor digitization | 146 points | |
| Filters | ||
| Highpass | 0.30 Hz | |
| Lowpass | 40.00 Hz | |
| Projections |
PCA-v1 (on)
PCA-v2 (on) PCA-v3 (on) |
|
| General | ||
|---|---|---|
| Filename(s) | sub-01_task-audiovisual_ave.fif | |
| MNE object type | Evoked | |
| Measurement date | 1921-08-16 at 19:01:10 UTC | |
| Participant | sub-01 | |
| Experimenter | mne_anonymize | |
| Acquisition | ||
| Aggregation | average of 1 epochs | |
| Condition | Grand average: Visual/Left | |
| Time range | -0.200 – 0.499 s | |
| Baseline | -0.200 – 0.000 s | |
| Sampling frequency | 600.61 Hz | |
| Time points | 421 | |
| Channels | ||
| Magnetometers | ||
| Gradiometers | ||
| Head & sensor digitization | 146 points | |
| Filters | ||
| Highpass | 0.30 Hz | |
| Lowpass | 40.00 Hz | |
| Projections |
PCA-v1 (on)
PCA-v2 (on) PCA-v3 (on) |
|
| General | ||
|---|---|---|
| Filename(s) | sub-01_task-audiovisual_ave.fif | |
| MNE object type | Evoked | |
| Measurement date | 1921-08-16 at 19:01:10 UTC | |
| Participant | sub-01 | |
| Experimenter | mne_anonymize | |
| Acquisition | ||
| Aggregation | average of 1 epochs | |
| Condition | Grand average: Visual/Right | |
| Time range | -0.200 – 0.499 s | |
| Baseline | -0.200 – 0.000 s | |
| Sampling frequency | 600.61 Hz | |
| Time points | 421 | |
| Channels | ||
| Magnetometers | ||
| Gradiometers | ||
| Head & sensor digitization | 146 points | |
| Filters | ||
| Highpass | 0.30 Hz | |
| Lowpass | 40.00 Hz | |
| Projections |
PCA-v1 (on)
PCA-v2 (on) PCA-v3 (on) |
|
"""ds000248: MNE Sample Data ICA."""
bids_root = "~/mne_data/ds000248"
deriv_root = "~/mne_data/derivatives/mne-bids-pipeline/ds000248_ica"
ch_types = ["meg"]
data_type = "meg"
subjects = ["01"]
task = "audiovisual"
l_freq = 0.3
h_freq = 40.0
conditions = ["Auditory/Left", "Auditory/Right", "Visual/Left", "Visual/Right"]
epochs_tmin = -0.2
epochs_tmax = 0.5
baseline = (None, 0)
ica_reject = dict(mag=3000e-15, grad=3000e-13)
spatial_filter = "ica"
ica_algorithm = "extended_infomax"
ica_l_freq = 1.0
ica_n_components = 0.8
ica_max_iterations = 500
interactive = False
Platform Linux-7.0.0-1009-aws-x86_64-with-glibc2.39 (X11)
Python 3.14.5 (main, May 12 2026, 13:13:59) [GCC 13.3.0]
Executable /home/circleci/.pyenv/versions/3.14.5/bin/python3.14
CPU Intel(R) Xeon(R) Platinum 8124M CPU @ 3.00GHz (36 cores)
Memory 4.0 GiB
Core
├☑ mne 1.13.0.dev199+gadc85849e (development, latest release is 1.12.1)
├☑ numpy 2.4.6 (OpenBLAS 0.3.31.188.0 with 2 threads via pthreads)
├☑ scipy 1.18.0
└☑ matplotlib 3.11.1 (backend=agg)
Numerical (optional)
├☑ scikit-learn 1.9.0
├☑ threadpoolctl 3.6.0
├☑ numba 0.66.0
├☑ nibabel 5.4.2
├☑ pandas 3.0.5
├☑ h5io 0.2.5
├☑ h5py 3.16.0
└☐ unavailable nilearn, dipy, openmeeg, python-picard, cupy
Visualization (optional)
├☑ pyvista 0.48.4 (OpenGL 4.5 (Core Profile) Mesa 25.2.8-0ubuntu0.24.04.2 via llvmpipe (LLVM 20.1.2, 256 bits))
├☑ pyvistaqt 0.12.0
├☑ vtk 9.6.2
├☑ qtpy 2.4.3 (PySide6=6.11.1)
└☐ unavailable ipympl, pyqtgraph, mne-qt-browser, ipywidgets, trame, trame_client, trame_server, trame_pyvista, trame_vtk, trame_vuetify
Ecosystem (optional)
├☑ mne-bids 0.20.0.dev24+g6564a0739
├☑ mne-icalabel 0.9.0
├☑ mne-bids-pipeline 1.11.0.dev50+g622aa488b
├☑ autoreject 0.5.0.dev4+g97a73596
├☑ eeglabio 0.1.3
├☑ edfio 0.4.14
├☑ curryreader 0.1.2
├☑ mffpy 0.11.0
├☑ pybv 0.8.1
├☑ defusedxml 0.7.1
└☐ unavailable mne-nirs, mne-features, mne-connectivity, neo, pymef, antio