An advanced graduate-level exploration of the mathematical and computational foundations of sensory psychology, focusing on Signal Detection Theory (SDT), psychophysical methodologies, and Bayesian inference. Students will bridge the gap between theoretical statistical frameworks and practical experimental design to understand the brain as a statistical inference engine.

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