:orphan:



.. _sphx_glr_auto_examples:




.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="This is a minimal example to demonstrate how to change the default data download directory to a...">

.. only:: html

 .. figure:: /auto_examples/images/thumb/sphx_glr_changing_download_directory_thumb.png
     :alt: Change Download Directory

     :ref:`sphx_glr_auto_examples_changing_download_directory.py`

.. raw:: html

    </div>


.. toctree::
   :hidden:

   /auto_examples/changing_download_directory

.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="This example show how to perform a cross session motor imagery analysis on the very popular dat...">

.. only:: html

 .. figure:: /auto_examples/images/thumb/sphx_glr_plot_cross_session_motor_imagery_thumb.png
     :alt: Cross-Session Motor Imagery

     :ref:`sphx_glr_auto_examples_plot_cross_session_motor_imagery.py`

.. raw:: html

    </div>


.. toctree::
   :hidden:

   /auto_examples/plot_cross_session_motor_imagery

.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="This example shows how to perform a cross-session analysis on two MI datasets using a CSP+LDA p...">

.. only:: html

 .. figure:: /auto_examples/images/thumb/sphx_glr_plot_cross_session_multiple_datasets_thumb.png
     :alt: Cross-Session on Multiple Datasets

     :ref:`sphx_glr_auto_examples_plot_cross_session_multiple_datasets.py`

.. raw:: html

    </div>


.. toctree::
   :hidden:

   /auto_examples/plot_cross_session_multiple_datasets

.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="- Riemannian Geometry - CCA">

.. only:: html

 .. figure:: /auto_examples/images/thumb/sphx_glr_plot_cross_subject_ssvep_thumb.png
     :alt: Cross-Subject SSVEP

     :ref:`sphx_glr_auto_examples_plot_cross_subject_ssvep.py`

.. raw:: html

    </div>


.. toctree::
   :hidden:

   /auto_examples/plot_cross_subject_ssvep

.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="A paradigm defines how the raw data will be converted to trials ready to be processed by a deco...">

.. only:: html

 .. figure:: /auto_examples/images/thumb/sphx_glr_plot_explore_paradigm_thumb.png
     :alt: Explore Paradigm Object

     :ref:`sphx_glr_auto_examples_plot_explore_paradigm.py`

.. raw:: html

    </div>


.. toctree::
   :hidden:

   /auto_examples/plot_explore_paradigm

.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="This example shows how to perform a within session analysis on three different P300 datasets.">

.. only:: html

 .. figure:: /auto_examples/images/thumb/sphx_glr_plot_within_session_p300_thumb.png
     :alt: Within Session P300

     :ref:`sphx_glr_auto_examples_plot_within_session_p300.py`

.. raw:: html

    </div>


.. toctree::
   :hidden:

   /auto_examples/plot_within_session_p300

.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="This Example show how to perform a within-session SSVEP analysis on the MAMEM dataset 3, using ...">

.. only:: html

 .. figure:: /auto_examples/images/thumb/sphx_glr_plot_within_session_ssvep_thumb.png
     :alt: Within Session SSVEP

     :ref:`sphx_glr_auto_examples_plot_within_session_ssvep.py`

.. raw:: html

    </div>


.. toctree::
   :hidden:

   /auto_examples/plot_within_session_ssvep
.. raw:: html

    <div class="sphx-glr-clear"></div>



.. _sphx_glr_auto_examples_advanced_examples:

Advanced examples
-----------------

These examples shows various advanced topics:

* using scikit-learn pipeline with MNE inputs
* selecting electrodes or resampling signal
* using filterbank approach in motor imagery
* apply statistics for meta-analysis



.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="This example show a comparison of CSP versus FilterBank CSP on the very popular dataset 2a from...">

.. only:: html

 .. figure:: /auto_examples/advanced_examples/images/thumb/sphx_glr_plot_filterbank_csp_vs_csp_thumb.png
     :alt: FilterBank CSP versus CSP

     :ref:`sphx_glr_auto_examples_advanced_examples_plot_filterbank_csp_vs_csp.py`

.. raw:: html

    </div>


.. toctree::
   :hidden:

   /auto_examples/advanced_examples/plot_filterbank_csp_vs_csp

.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="This example shows how to use machine learning pipeline based on MNE Epochs instead of Numpy ar...">

.. only:: html

 .. figure:: /auto_examples/advanced_examples/images/thumb/sphx_glr_plot_mne_and_scikit_estimators_thumb.png
     :alt: MNE Epochs-based pipelines

     :ref:`sphx_glr_auto_examples_advanced_examples_plot_mne_and_scikit_estimators.py`

.. raw:: html

    </div>


.. toctree::
   :hidden:

   /auto_examples/advanced_examples/plot_mne_and_scikit_estimators

.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="Within paradigm, it is possible to restrict analysis only to a subset of electrodes and to resa...">

.. only:: html

 .. figure:: /auto_examples/advanced_examples/images/thumb/sphx_glr_plot_select_electrodes_resample_thumb.png
     :alt: Select Electrodes and Resampling

     :ref:`sphx_glr_auto_examples_advanced_examples_plot_select_electrodes_resample.py`

.. raw:: html

    </div>


.. toctree::
   :hidden:

   /auto_examples/advanced_examples/plot_select_electrodes_resample

.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="The MOABB codebase comes with convenience plotting utilities and some statistical testing. This...">

.. only:: html

 .. figure:: /auto_examples/advanced_examples/images/thumb/sphx_glr_plot_statistical_analysis_thumb.png
     :alt: Statistical Analysis

     :ref:`sphx_glr_auto_examples_advanced_examples_plot_statistical_analysis.py`

.. raw:: html

    </div>


.. toctree::
   :hidden:

   /auto_examples/advanced_examples/plot_statistical_analysis
.. raw:: html

    <div class="sphx-glr-clear"></div>



.. _sphx_glr_auto_examples_external:

External examples
-----------------

You need to install external dependencies to run these examples. These consist mostly of
various classifier implementations. When using poetry, you can use

``poetry install --extras external``



.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="This example shows how to perform a within session analysis while also creating learning curves...">

.. only:: html

 .. figure:: /auto_examples/external/images/thumb/sphx_glr_plot_learning_curve_p300_external_thumb.png
     :alt: Within Session P300 with Learning Curve

     :ref:`sphx_glr_auto_examples_external_plot_learning_curve_p300_external.py`

.. raw:: html

    </div>


.. toctree::
   :hidden:

   /auto_examples/external/plot_learning_curve_p300_external
.. raw:: html

    <div class="sphx-glr-clear"></div>



.. _sphx_glr_auto_examples_learning_curve:

Evaluation with learning curve
------------------------------

These examples demonstrate how to make evaluations using only a subset of
available example. For example, if you consider a dataset with 100 trials for
each class, you could evaluate several pipelines by using only a fraction of
these trials. To ensure the robustness of the results, you need to specify the
number of permutations. If you use 10 trials per class and 20 permutations,
each pipeline will be evaluated on a subset of 10 trials chosen randomly, that
will be repeated 20 times with different trial subsets.



.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="This example shows how to perform a within session motor imagery analysis on the very popular d...">

.. only:: html

 .. figure:: /auto_examples/learning_curve/images/thumb/sphx_glr_plot_learning_curve_motor_imagery_thumb.png
     :alt: Within Session Motor Imagery with Learning Curve

     :ref:`sphx_glr_auto_examples_learning_curve_plot_learning_curve_motor_imagery.py`

.. raw:: html

    </div>


.. toctree::
   :hidden:

   /auto_examples/learning_curve/plot_learning_curve_motor_imagery

.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="This example shows how to perform a within session analysis while also creating learning curves...">

.. only:: html

 .. figure:: /auto_examples/learning_curve/images/thumb/sphx_glr_plot_learning_curve_p300_thumb.png
     :alt: Within Session P300 with Learning Curve

     :ref:`sphx_glr_auto_examples_learning_curve_plot_learning_curve_p300.py`

.. raw:: html

    </div>


.. toctree::
   :hidden:

   /auto_examples/learning_curve/plot_learning_curve_p300
.. raw:: html

    <div class="sphx-glr-clear"></div>



.. only :: html

 .. container:: sphx-glr-footer
    :class: sphx-glr-footer-gallery


  .. container:: sphx-glr-download sphx-glr-download-python

    :download:`Download all examples in Python source code: auto_examples_python.zip </auto_examples/auto_examples_python.zip>`



  .. container:: sphx-glr-download sphx-glr-download-jupyter

    :download:`Download all examples in Jupyter notebooks: auto_examples_jupyter.zip </auto_examples/auto_examples_jupyter.zip>`


.. only:: html

 .. rst-class:: sphx-glr-signature

    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_