A tutorial on general recognition theory

DOI10.1016/j.jmp.2016.04.011zbMath1396.91649OpenAlexW2418702694MaRDI QIDQ313085

Noah H. Silbert, Robert X. D. Hawkins

Publication date: 9 September 2016

Published in: Journal of Mathematical Psychology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jmp.2016.04.011

zbMATH Keywords

general recognition theoryperceptual independenceperceptual separabilitytutorial

Mathematics Subject Classification ID

Cognitive psychology (91E10) Psychophysics and psychophysiology; perception (91E30) Applications of statistics to psychology (62P15)

Uses Software

• R
• mdsdt

Cites Work

• Relations between prototype, exemplar, and decision bound models of categorization
• Multidimensional signal detection decision models of the uncertainty task: application to face perception
• Maximum-likelihood estimation of a multivariate Gaussian rating model with excluded data
• Implications of marginal and conditional detection parameters for the separabilities and independence of perceptual dimensions
• Separability and independence of dimensions within the same-different judgment task
• Source monitoring and multivariate signal detection theory, with a model for selection.
• A stochastic version of general recognition theory
• Optimal response selection and decisional separability in Gaussian general recognition theory
• Model Selection and Multimodel Inference

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