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Autor/inn/enTurner, Brandon M.; Van Zandt, Trisha; Brown, Scott
TitelA Dynamic Stimulus-Driven Model of Signal Detection
QuelleIn: Psychological Review, 118 (2011) 4, S.583-613 (31 Seiten)
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Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN0033-295X
DOI10.1037/a0025191
SchlagwörterFeedback (Response); Infants; Recognition (Psychology); Stimuli; Cognitive Processes; Models; Observation; Simulation; Psychological Studies; Memory; Cognitive Psychology; Classification; Behavior; Undergraduate Students; Ohio
AbstractSignal detection theory forms the core of many current models of cognition, including memory, choice, and categorization. However, the classic signal detection model presumes the a priori existence of fixed stimulus representations--usually Gaussian distributions--even when the observer has no experience with the task. Furthermore, the classic signal detection model requires the observer to place a response criterion along the axis of stimulus strength, and without theoretical elaboration, this criterion is fixed and independent of the observer's experience. We present a dynamic, adaptive model that addresses these 2 long-standing issues. Our model describes how the stimulus representation can develop from a rough subjective prior and thereby explains changes in signal detection performance over time. The model structure also provides a basis for the signal detection decision that does not require the placement of a criterion along the axis of stimulus strength. We present simulations of the model to examine its behavior and several experiments that provide data to test the model. We also fit the model to recognition memory data and discuss the role that feedback plays in establishing stimulus representations. (Contains 13 figures, 2 tables and 8 footnotes.) (As Provided).
AnmerkungenAmerican Psychological Association. Journals Department, 750 First Street NE, Washington, DC 20002-4242. Tel: 800-374-2721; Tel: 202-336-5510; Fax: 202-336-5502; e-mail: order@apa.org; Web site: http://www.apa.org/publications
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2017/4/10
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