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Sharpening the echo: An iterative‐resonance model for short‐term recognition memory

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We present an iterative-resonance model for recognition memory. On successive iterations, the probe is compared against a feature-by-feature profile of the study set. Yes decisions depend on the similarity of the probe to the profile; No decisions depend on a count of elements in the probe that are not in the profile. Successive iterations sharpen the evidence, and response latency is a function of the number of iterations needed to obtain a sufficiently clear result. The model successfully simulates classic data as well as recent data problematic for alternate models.
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Document Type: Research Article

Affiliations: Queen's University at Kingston, Ontario, Canada

Publication date: April 1, 2005

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