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Table of contents
1 Ambiguity for the human visual system
1.1 Visual perception
1.2 Vision & ambiguity: how does the brain handle it?
1.3 Why do we study multi-stable perception?
1.4 State of the art synthesis
2 Micro-pursuits: a class of fixational eye movements
2.1 Introduction
2.2 Micro-pursuits
2.3 Main Experiment: Necker cube
2.4 Replication Experiments: Square & Cross
2.5 Comparing Necker, Cross and Square experiments—Corrected inAppendix C
2.6 Discussion—Corrected in Appendix C
2.7 Conclusion
3 Modelling eye movements & multi-stable perception
3.1 Gravitational fixational eye movements
3.2 Multi-stable perception
3.3 Synthesis
4 Multi-stability: manipulating perceptual ambiguity
4.1 Hypotheses
4.2 Percepts experiment: identifying the motion percepts
4.3 Ambiguity experiment: percept probabilities w.r.t. transparency
4.4 Conclusion
5 Multi-stability as a probe of synergy between action and perception?
5.1 Synthesis of contributions
5.2 Influencing gaze control with random dot kinematograms
5.3 Eye movements as objective markers in ambiguous perception
5.4 What does stability mean for perception?
5.5 Conclusion
Bibliography
Acronyms
A Complementary information on the literature review
A.1 Theoretical context
A.2 From the eyes to the brain
A.3 Tracking the eyes
A.4 Multi-stable perception detailed description
A.5 Multi-stability & neurosciences
A.6 Eye movements & the plaid
A.7 Can we remove subjective reports on the moving plaid?
A.8 Gaze-EEG experimental design
B Experimental metrics, modules and designs
B.1 Maximally Projected Correlation
B.2 Eye Movements experiment
B.3 Noisy Motor Events experiment
C Journal of Vision article
