.. _sphx_glr_auto_examples_plot_predict.py:


=============================
Predict unknown location
=============================

In this example, we load in a single subject example, remove electrodes that
exceed a kurtosis threshold, load a model, and predict activity at all
model locations and plot those locations.  We then convert the reconstruction to
a nifti and plot the reconstruction.





.. rst-class:: sphx-glr-horizontal


    *

      .. image:: /auto_examples/images/sphx_glr_plot_predict_001.png
            :scale: 47

    *

      .. image:: /auto_examples/images/sphx_glr_plot_predict_002.png
            :scale: 47


.. rst-class:: sphx-glr-script-out

 Out::

    Number of electrodes: 274
    Recording time in seconds: [ 5.3984375 14.1328125]
    Sample Rate in Hz: [256, 256]
    Number of sessions: 2
    Date created: Wed Jul 25 20:26:51 2018
    Meta data: {}




|


.. code-block:: python


    # Code source: Lucy Owen & Andrew Heusser
    # License: MIT

    import supereeg as se

    # load example data
    bo = se.load('example_data')

    # load example model
    model = se.load('example_model')

    # the default will replace the electrode location with the nearest voxel and reconstruct at all other locations
    reconstructed_bo = model.predict(bo, force_update=True)

    # plot locations colored by label
    reconstructed_bo.plot_locs()

    # print out info on new brain object
    reconstructed_bo.info()

    # save as nifti
    reconstructed_nii = reconstructed_bo.to_nii(template='gray', vox_size=20)

    # plot nifti reconstruction
    reconstructed_nii.plot_glass_brain()
**Total running time of the script:** ( 0 minutes  32.736 seconds)



.. only :: html

 .. container:: sphx-glr-footer


  .. container:: sphx-glr-download

     :download:`Download Python source code: plot_predict.py <plot_predict.py>`



  .. container:: sphx-glr-download

     :download:`Download Jupyter notebook: plot_predict.ipynb <plot_predict.ipynb>`


.. only:: html

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

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