Nevin, John – Behavioral Models of Conditional Discrimination: Detection and Matching to Sample - Quantitative Models of conditional discrimination performance, based on well-established behavioral processes such as matching to relative reinforcement, effects of reinforcement on resistance to change, and stimulus generalization, can account for many findings of studies with nonhuman animals in signal-detection and matching-to-smaple paradigms. This turotial will provide a guided tour of these models as they have developed since 1978, explain thier quantitative structure, and discuss their strengths and limitations in their confrontation with systematic data sets. The models to be discussed will be available as spreadsheets so that students and researchers can explore their properties and apply them to thier own data.