| somato | |||
|---|---|---|---|
| trial_type | subject | somato_event1 | |
| 01 | 111 |
1 rows × 2 columns
| General | ||
|---|---|---|
| Filename(s) | sub-01_task-somato_ave.fif | |
| MNE object type | Evoked | |
| Measurement date | 1915-03-31 at 00:00:00 UTC | |
| Participant | sub-01 | |
| Experimenter | mne_anonymize | |
| Acquisition | ||
| Aggregation | average of 1 epochs | |
| Condition | Grand average: somato_event1 | |
| Time range | -0.200 – 0.499 s | |
| Baseline | -0.200 – 0.000 s | |
| Sampling frequency | 300.31 Hz | |
| Time points | 211 | |
| Channels | ||
| Magnetometers | ||
| Gradiometers | ||
| Head & sensor digitization | 47 points | |
| Filters | ||
| Highpass | 0.10 Hz | |
| Lowpass | 40.00 Hz | |
"""Somato."""
bids_root = "~/mne_data/ds003104"
deriv_root = "~/mne_data/derivatives/mne-bids-pipeline/ds003104"
subjects_dir = f"{bids_root}/derivatives/freesurfer/subjects"
conditions = ["somato_event1"]
ch_types = ["meg"]
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