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Signal Detection Theory Columbia University, Manhattan, New York Signal detection theory is a standard tool for analyzingpsychophysical data. Applying detection theoretic analysis (i.e.reporting d', decision criterion) is the gold standard in research in sensory perception, be it neuroimaging or neurophysiology. Such analysis is also often applied to studies in consciousness, sometimes yielding counter-intuitive interpretations. In this tutorial we gothrough the basic formalisms of detection theory, by assuming no background in the area. We try to ensure that attendants without anymathematical training would be able to acquire the graphicalintuitions that are needed to understand advanced analyses. We thenreview several topics in consciousness where detection theoreticanalysis has provided critical and important insights. These include blindsight, time perception, Libet's experiments on volition,postdecision wagering, confidence ratings, exclusion tasks, and thetopic of unconscious inhibition. The relationship between signal detection theory and Bayesian decision theory will also be discussed. |
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