title: Sharpening the echo: an iterative-resonance model for short-term recognition memory.
abstract: 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.
authors.affiliation: Department of Psychology, Queen's University, Kingston, Ontario, Canada K7L 3N6. mewhortd@post.queensu.ca
authors.forename: D J K
authors.initials: DJ
authors.lastname: Mewhort
authors.forename: E E
authors.initials: EE
authors.lastname: Johns
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D006801:Humans; D008570:Memory, Short-Term; D011939:Mental Recall; D008960:Models, Psychological; D011930:Reaction Time; D021641:Recognition, Psychology