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The HRF, modeling and statistical maps
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Teaching
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* `tutorial on convolution`_;
* :doc:`convolution_background`;
* :doc:`make_an_hrf_exercise`;
* :doc:`hrf_correlation_exercise`.
* :doc:`model_one_voxel`;
* :doc:`test_one_voxel`;
* :doc:`multi_multiply`;
* :doc:`multi_model_exercise`;
* :doc:`non_tr_onsets`;
* `Tutorial on correlated regressors`_;

.. stuff we probably won't have time for:

    * modeling FMRI signal with multiple regression and the BOLD regressors;
    * investigating assumptions behind the HRF and linear time invariance.
    * smoothing;
    * t contrasts;
    * using multiple regressors
    * allowing for different onsets with the HRF temporal derivative;
    * investigating power and bias for correlated regressors;
    * modeling the baseline;
    * selecting models;

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Homework and reading for next week
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* :doc:`multi_model_homework`;
* `Tutorial on correlated regressors`_;
* `Introduction to smoothing`_;
* `Smoothing as convolution`_.