Signal Detection Theory

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Table of contents

Introduction
Part I. Characterization of sensory variability
1.1 Psychometric functions
1.2 Signal Detection Theory
2.1 Proposed method for threshold tracking
2.2 Assessment of tracking performance
2.3 Proof of concept: psychophysical experiment
2.4 Optimization of the method: simulation study
2.5 Threshold tracking in a real experiment
2.6 General discussion on threshold tracking
3.1 Introduction
3.2 Methods
3.3 Results
3.4 Discussion
3.5 Summary
Part II. Relating sensory variability to brain state fluctuations
4.1 Auto-predictive patterns in EEG signals
4.2 Brain oscillations and brain state
5.1 Literature about the modulations of perception by brain states
5.2 Modulation of auditory perception by ongoing brain oscillations?
5.3 Predicting threshold variations from ongoing EEG
General discussion
References
Appendices
Appendix A. A sliding two-alternative forced-choice paradigm for pitch discrimination
Appendix B. Explanation for reduced variance of weighted-mean threshold estimators when independent tracks are interleaved
Appendix C. Statistics for nested model comparisons