Tutorials
=========
Tutorials are available for all classes and functions in neurocaps. Note: Most examples use simulated data.

.. toctree::
   :hidden:

   extraction
   analysis
   merge
   standardize
   dtype
   transition

.. raw:: html

   <div class="sphx-glr-thumbnails">
      <div class="sphx-glr-thumbcontainer" tooltip="Extract timeseries from preprocessed data, perform nuisance regression, visualize and serialize timeseries.">
      <a href="extraction.html">

.. only:: html

   .. image:: embed/thumbnail/visualize_timeseries_nodes.png

.. raw:: html

      <div class="sphx-glr-thumbnail-title">Tutorial 1: Using <code>TimeseriesExtractor</code> For Spatial Dimensionality Reduction With Parcellations</div>
      </a>
      </div>



.. raw:: html

      <div class="sphx-glr-thumbcontainer" tooltip="Perform Co-Activation Patterns (CAPs) analyses and generate CAP specific metrics and visualizations.">
      <a href="analysis.html">

.. only:: html

   .. image:: embed/thumbnail/All_Subjects_CAP-1_radar.png

.. raw:: html

      <div class="sphx-glr-thumbnail-title">Tutorial 2: Using <code>CAP</code> Within Groups or All Subjects</div>
      </a>
      </div>



.. raw:: html

      <div class="sphx-glr-thumbcontainer" tooltip="Merge the timeseries data of the same subjects across different dictionaries.">
      <a href="merge.html">

.. only:: html

   .. image:: embed/thumbnail/neurocaps.png

.. raw:: html

      <div class="sphx-glr-thumbnail-title">Tutorial 3: Merging Timeseries With <code>merge_dicts</code></div>
      </a>
      </div>


.. raw:: html

      <div class="sphx-glr-thumbcontainer" tooltip="Perform within-run standardization if not done at the time of extraction.">
      <a href="standardize.html">

.. only:: html

   .. image:: embed/thumbnail/neurocaps.png

.. raw:: html

      <div class="sphx-glr-thumbnail-title">Tutorial 4: Standardizing Within Runs Using <code>standardize</code></div>
      </a>
      </div>



.. raw:: html

      <div class="sphx-glr-thumbcontainer" tooltip="Change the dtype of each subject's NumPy array to reduce memory usage.">
      <a href="dtype.html">

.. only:: html

   .. image:: embed/thumbnail/neurocaps.png

.. raw:: html

      <div class="sphx-glr-thumbnail-title">Tutorial 5: Changing Dtype With <code>change_dtype</code></div>
      </a>
      </div>


.. raw:: html

      <div class="sphx-glr-thumbcontainer" tooltip="Create an averaged transition probability matrix and heatmap from individual-level transition probabilities.">
      <a href="transition.html">

.. only:: html

   .. image:: embed/thumbnail/All_Subjects_CAPs_transition_probability_matrix.png

.. raw:: html

      <div class="sphx-glr-thumbnail-title">Tutorial 6: Generating a Transition Probability Matrix <code>transition_matrix</code></div>
      </a>
      </div>

.. raw:: html

    </div>

==========

.. [1] Laumann, T. O., Gordon, E. M., Adeyemo, B., Snyder, A. Z., Joo, S. J., Chen, M. Y., Gilmore, A. W., McDermott, K. B., Nelson, S. M., Dosenbach, N. U., Schlaggar, B. L., Mumford, J. A., Poldrack, R. A., & Petersen, S. E. (2015). Functional system and areal organization of a highly sampled individual human brain. Neuron, 87(3), 657–670. https://doi.org/10.1016/j.neuron.2015.06.037