Psychophysics, signal detection, attention and perceptual organization

This lesson is part of the full course.

In it you will learn to:

• Apply Weber's law and distinguish Fechner's and Stevens' laws and the classic threshold methods
• Compute hits, false alarms and d′, and separate sensitivity from response criterion on an ROC curve
• Compare early-, attenuated- and late-selection theories of attention, and apply feature integration theory to visual search data
• Classify Gestalt principles, depth cues, constancies and illusions, and contrast constructivist with direct (ecological) theories