Hemodynamic response function (HRF)

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Table of contents

1 Organization and contributions of this thesis 
2 Introduction to Functional MRI 
2.1 General brain structures
2.2 Functional neuroimaging modalities
2.3 Functional MRI and BOLD signal
2.4 Estimation of activation coeicients
2.5 Conclusion
3 Statistical Inference in fMRI 
3.1 Hypothesis testing
3.2 Machine learning in fMRI
3.3 Conclusion
4 Data-driven HRF estimation for encoding and decoding models 
4.1 Increased sensitivity via HRF estimation
4.2 Methods
4.3 Data description
4.4 Results
4.5 Discussion
4.6 Conclusion
5 Decoding with Ordinal Labels 
5.1 Learning from ordinal labels
5.2 Loss functions
5.3 Ranking and ordinal regression
5.4 Models
5.5 Experiments
5.6 Discussion
5.7 Conclusion
6 Fisher Consistency of Ordinal Regression Methods 
6.1 Introduction
6.2 Ordinal regression models
6.3 Consistency of Surrogate Loss Functions
6.4 Experiments
6.5 Conclusion
7 Conclusion and Perspectives 
7.1 Contributions
7.2 Research Perspectives
7.3 Publications by the author
7.4 Soware
Glossary