| matchingpennies | ||||||
|---|---|---|---|---|---|---|
| trial_type | subject | raised-left/match-false | raised-left/match-true | raised-right/match-false | raised-right/match-true | |
| 05 | 75 | 104 | 55 | 66 | ||
| 06 | 79 | 62 | 59 | 100 | ||
| 07 | 50 | 100 | 49 | 101 | ||
| 08 | 70 | 55 | 66 | 109 | ||
| 09 | 62 | 91 | 86 | 61 | ||
| 10 | 65 | 76 | 52 | 107 | ||
| 11 | 72 | 82 | 60 | 86 | ||
7 rows × 5 columns
| General | ||
|---|---|---|
| Filename(s) | sub-05_task-matchingpennies_ave.fif | |
| MNE object type | Evoked | |
| Measurement date | Unknown | |
| Participant | sub-05 | |
| Experimenter | Unknown | |
| Acquisition | ||
| Aggregation | average of 1 epochs | |
| Condition | Grand average: 0.42 × raised-left/match-false + 0.58 × raised-left/match-true | |
| Time range | -0.200 – 0.500 s | |
| Baseline | -0.200 – 0.000 s | |
| Sampling frequency | 5000.00 Hz | |
| Time points | 3,501 | |
| Channels | ||
| EEG | ||
| Head & sensor digitization | Not available | |
| Filters | ||
| Highpass | 0.00 Hz | |
| Lowpass | 40.00 Hz | |
| Projections | Average EEG reference (on) | |
| General | ||
|---|---|---|
| Filename(s) | sub-05_task-matchingpennies_ave.fif | |
| MNE object type | Evoked | |
| Measurement date | Unknown | |
| Participant | sub-05 | |
| Experimenter | Unknown | |
| Acquisition | ||
| Aggregation | average of 1 epochs | |
| Condition | Grand average: 0.45 × raised-right/match-false + 0.55 × raised-right/match-true | |
| Time range | -0.200 – 0.500 s | |
| Baseline | -0.200 – 0.000 s | |
| Sampling frequency | 5000.00 Hz | |
| Time points | 3,501 | |
| Channels | ||
| EEG | ||
| Head & sensor digitization | Not available | |
| Filters | ||
| Highpass | 0.00 Hz | |
| Lowpass | 40.00 Hz | |
| Projections | Average EEG reference (on) | |
| General | ||
|---|---|---|
| Filename(s) | sub-05_task-matchingpennies_ave.fif | |
| MNE object type | Evoked | |
| Measurement date | Unknown | |
| Participant | sub-05 | |
| Experimenter | Unknown | |
| Acquisition | ||
| Aggregation | average of 1 epochs | |
| Condition | Grand average: (0.42 × raised-left/match-false + 0.58 × raised-left/match-true) - (0.45 × raised-right/match-false + 0.55 × raised-right/match-true) | |
| Time range | -0.200 – 0.500 s | |
| Baseline | -0.200 – 0.000 s | |
| Sampling frequency | 5000.00 Hz | |
| Time points | 3,501 | |
| Channels | ||
| EEG | ||
| Head & sensor digitization | Not available | |
| Filters | ||
| Highpass | 0.00 Hz | |
| Lowpass | 40.00 Hz | |
| Projections | Average EEG reference (on) | |
"""Matchingpennies EEG experiment."""
bids_root = "~/mne_data/eeg_matchingpennies"
deriv_root = "~/mne_data/derivatives/mne-bids-pipeline/eeg_matchingpennies"
subjects = ["05"]
task = "matchingpennies"
ch_types = ["eeg"]
interactive = False
reject = {"eeg": 150e-6}
conditions = ["raised-left", "raised-right"]
contrasts = [("raised-left", "raised-right")]
decode = True
interpolate_bads_grand_average = False
Platform Linux-5.15.0-1057-aws-x86_64-with-glibc2.35
Python 3.12.4 (main, Jun 8 2024, 23:40:19) [GCC 11.4.0]
Executable /home/circleci/.pyenv/versions/3.12.4/bin/python3.12
CPU Intel(R) Xeon(R) Platinum 8223CL CPU @ 3.00GHz (36 cores)
Memory 69.1 GiB
Core
├☑ mne 1.9.0.dev59+ged933b8d9 (devel, latest release is 1.8.0)
├☑ numpy 2.0.2 (OpenBLAS 0.3.27 with 2 threads)
├☑ scipy 1.14.1
└☑ matplotlib 3.9.2 (backend=agg)
Numerical (optional)
├☑ sklearn 1.5.2
├☑ numba 0.60.0
├☑ nibabel 5.2.1
├☑ pandas 2.2.3
├☑ h5io 0.2.4
├☑ h5py 3.12.1
└☐ unavailable nilearn, dipy, openmeeg, cupy
Visualization (optional)
├☑ pyvista 0.44.1 (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 9.3.1
├☑ 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.dev44+g65da1ae78
├☑ mne-bids-pipeline 1.10.0.dev27+g02cdc20
├☑ edfio 0.4.4
├☑ pybv 0.7.5
└☐ unavailable mne-nirs, mne-features, mne-connectivity, mne-icalabel, neo, eeglabio, mffpy