.. DO NOT EDIT. .. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. .. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: .. "generated/auto_examples/core/tutorial_minimal.py" .. LINE NUMBERS ARE GIVEN BELOW. .. only:: html .. note:: :class: sphx-glr-download-link-note :ref:`Go to the end ` to download the full example code or to run this example in your browser via Binder. .. rst-class:: sphx-glr-example-title .. _sphx_glr_generated_auto_examples_core_tutorial_minimal.py: Minimal Tutorial ================ This is a minimal tutorial demonstrating how to use EEGDash with BrainDecode. .. GENERATED FROM PYTHON SOURCE LINES 6-82 .. rst-class:: sphx-glr-script-out .. code-block:: none ╭────────────────────── EEG 2025 Competition Data Notice ──────────────────────╮ │ This object loads the HBN dataset that has been preprocessed for the EEG │ │ Challenge: │ │ * Downsampled from 500Hz to 100Hz │ │ * Bandpass filtered (0.5-50 Hz) │ │ │ │ For full preprocessing applied for competition details, see: │ │ https://github.com/eeg2025/downsample-datasets │ │ │ │ The HBN dataset have some preprocessing applied by the HBN team: │ │ * Re-reference (Cz Channel) │ │ │ │ IMPORTANT: The data accessed via `EEGChallengeDataset` is NOT identical to │ │ what you get from EEGDashDataset directly. │ │ If you are participating in the competition, always use │ │ `EEGChallengeDataset` to ensure consistency with the challenge data. │ ╰──────────────────────── Source: EEGChallengeDataset ─────────────────────────╯ /home/runner/work/EEGDash/EEGDash/.venv/lib/python3.11/site-packages/braindecode/preprocessing/preprocess.py:76: UserWarning: apply_on_array can only be True if fn is a callable function. Automatically correcting to apply_on_array=False. warn( Downloading sub-NDARAC904DMU_task-contrastChangeDetection_run-3_channels.tsv: 0%| | 0.00/1.00 [00:00` .. container:: sphx-glr-download sphx-glr-download-python :download:`Download Python source code: tutorial_minimal.py ` .. container:: sphx-glr-download sphx-glr-download-zip :download:`Download zipped: tutorial_minimal.zip ` .. only:: html .. rst-class:: sphx-glr-signature `Gallery generated by Sphinx-Gallery `_