Signal Detection Theory

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Description

This lecture covers the fundamentals of Signal Detection Theory (SDT) and its application in statistics and experimental design. It delves into topics such as basic probability theory, SDT, statistics, ANOVA, correlations, PCA, and meta-statistics. The instructor explains how SDT helps in understanding decision-making processes and how discriminability and criterion play crucial roles in experimental outcomes.

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