├── .gitignore ├── ANTS_normalization.ipynb ├── Ancova_issues.ipynb ├── FDR.ipynb ├── GLM_t_F.ipynb ├── ICC_tests.ipynb ├── IntroCovReg.ipynb ├── Introducing the General Linear Model.ipynb ├── Makefile ├── README.md ├── RFT_FDR_old.ipynb ├── Registration.ipynb ├── Registration_full.ipynb ├── Simple regression.ipynb ├── Using nipy transforms.ipynb ├── answers └── day12 │ ├── slicetime.py │ ├── slicetime_openfmri.py │ └── test_slicetime.py ├── awesome.py ├── bold_QC_again.ipynb ├── bonferroni_notes.ipynb ├── check_openfmri.py ├── checkhash.py ├── convolution.ipynb ├── correlated_regressors.ipynb ├── cyril.ipynb ├── diagnostics.ipynb ├── finding_arteries.ipynb ├── finding_faces.ipynb ├── finding_faces_really.ipynb ├── finding_outliers_reprise.ipynb ├── images └── stunning_figure.png ├── interpolation-padding.ipynb ├── introduction_to_python.ipynb ├── loading_images.ipynb ├── low_frequency_drifts.ipynb ├── model_validation_101.ipynb ├── more_awesome.py ├── more_on_F_tests.ipynb ├── more_on_faces.ipynb ├── more_on_faces_really.ipynb ├── more_on_faces_v030.ipynb ├── motion_correction.ipynb ├── motion_slice_openfmri.py ├── mutual_information_example.ipynb ├── nipy_registration.ipynb ├── nipy_t_F_tests.ipynb ├── nipype_ants.ipynb ├── notes_future_course.txt ├── openfmri.py ├── optimizing_designs.ipynb ├── outlier_detect.ipynb ├── outliers.py ├── principles_statistics.ipynb ├── psychopathy.ipynb ├── python_libraries.ipynb ├── random_fields.ipynb ├── roll_your_own_cms.ipynb ├── run_diagnostics.py ├── run_slice_time.py ├── simplest_glm.ipynb ├── slice_timing.ipynb ├── slice_timing_full.ipynb ├── slicetime.py ├── slicetime_openfmri.py ├── smaller_bounding_box.ipynb ├── spline_interpolation.ipynb ├── sum_of_cosines.ipynb ├── t_F_test.jpg ├── t_and_z_distribution.ipynb ├── template_registration.ipynb ├── temporal_derivatives.ipynb ├── test_awesome_more.py ├── test_checkhash.py ├── test_openfmri.py ├── test_outliers.py ├── test_slicetime.py ├── visualization.ipynb ├── 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