.. _sphx_glr_auto_examples_temporal-response-functions:

^^^^^^^^^^^^^^^^^^^^^^^^^^^
Temporal Response Functions
^^^^^^^^^^^^^^^^^^^^^^^^^^^


.. raw:: html

  <div id='sg-tag-list' class='sphx-glr-tag-list'></div>


.. raw:: html

    <div class="sphx-glr-thumbnails">

.. thumbnail-parent-div-open

.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="A Temporal Response Function (TRF) is a linear stimulus-response model. The predicted response is a linear convolution of the stimulus with the TRF. A simple illustration of this is that every impulse in the stimulus is associated with a corresponding response, shaped like the TRF:">

.. only:: html

  .. image:: /auto_examples/temporal-response-functions/images/thumb/sphx_glr_trf_intro_thumb.png
    :alt:

  :doc:`/auto_examples/temporal-response-functions/trf_intro`

.. raw:: html

      <div class="sphx-glr-thumbnail-title">Introduction to Temporal Response Functions (TRFs)</div>
    </div>


.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="Estimate a TRF, starting with a -raw.fif EEG file and stimulus .wav files.">

.. only:: html

  .. image:: /auto_examples/temporal-response-functions/images/thumb/sphx_glr_alice-trf_thumb.png
    :alt:

  :doc:`/auto_examples/temporal-response-functions/alice-trf`

.. raw:: html

      <div class="sphx-glr-thumbnail-title">TRF for Alice EEG Dataset</div>
    </div>


.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="EEG speech envelope TRF">

.. only:: html

  .. image:: /auto_examples/temporal-response-functions/images/thumb/sphx_glr_mtrf_thumb.png
    :alt:

  :doc:`/auto_examples/temporal-response-functions/mtrf`

.. raw:: html

      <div class="sphx-glr-thumbnail-title">EEG speech envelope TRF</div>
    </div>


.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="The boosting algorithm can use two different forms of cross-validation: cross-validation as stopping criterion (always on), and cross-validation for model evaluation (optional). This requires paertitioning the data into different segments. The eelbrain.plot.preview_partitions function is for exploring the effect of different parameters on the way the data is split.">

.. only:: html

  .. image:: /auto_examples/temporal-response-functions/images/thumb/sphx_glr_partitions_thumb.png
    :alt:

  :doc:`/auto_examples/temporal-response-functions/partitions`

.. raw:: html

      <div class="sphx-glr-thumbnail-title">Data partitions for boosting</div>
    </div>


.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="The example uses simulated data meant to vaguely resemble data from an N400 experiment, but not intended as a physiologically realistic simulation.">

.. only:: html

  .. image:: /auto_examples/temporal-response-functions/images/thumb/sphx_glr_epoch_impulse_thumb.png
    :alt:

  :doc:`/auto_examples/temporal-response-functions/epoch_impulse`

.. raw:: html

      <div class="sphx-glr-thumbnail-title">Impulse predictors for epochs</div>
    </div>


.. thumbnail-parent-div-close

.. raw:: html

    </div>


.. toctree::
   :hidden:

   /auto_examples/temporal-response-functions/trf_intro
   /auto_examples/temporal-response-functions/alice-trf
   /auto_examples/temporal-response-functions/mtrf
   /auto_examples/temporal-response-functions/partitions
   /auto_examples/temporal-response-functions/epoch_impulse