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- W2123142919 startingPage "280" @default.
- W2123142919 abstract "Exemplar-similarity models such as the exemplar-based random walk (EBRW) model (Nosofsky & Palmeri, 1997b) were designed to provide a formal account of multidimensional classification choice probabilities and response times (RTs). At the same time, a recurring theme has been to use exemplar models to account for old-new item recognition and to explain relations between classification and recognition. However, a major gap in research is that the models have not been tested on their ability to provide a theoretical account of RTs and other aspects of performance in the classic Sternberg (1966) short-term memory-scanning paradigm, perhaps the most venerable of all recognition-RT tasks. The present research fills that gap by demonstrating that the EBRW model accounts in natural fashion for a wide variety of phenomena involving diverse forms of short-term memory scanning. The upshot is that similar cognitive operating principles may underlie the domains of multidimensional classification and short-term old-new recognition." @default.
- W2123142919 created "2016-06-24" @default.
- W2123142919 creator A5014175026 @default.
- W2123142919 creator A5021679744 @default.
- W2123142919 creator A5041061670 @default.
- W2123142919 creator A5087861219 @default.
- W2123142919 date "2011-01-01" @default.
- W2123142919 modified "2023-10-17" @default.
- W2123142919 title "Short-term memory scanning viewed as exemplar-based categorization." @default.
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- W2123142919 doi "https://doi.org/10.1037/a0022494" @default.
- W2123142919 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/3136045" @default.
- W2123142919 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/21355662" @default.
- W2123142919 hasPublicationYear "2011" @default.