{"pk":26331,"title":"Systems Factorial Analysis of Item and Associative Retrieval","subtitle":null,"abstract":"Using hierarchical Bayesian estimation of RT distributions, wepresent a novel application of Systems Factorial Technology(Townsend & Nozawa, 1995) to the retrieval of item and asso-ciative information from episodic memory. We find that itemand associative information are retrieved concurrently, withpositive memory evidence arising from a holistic match be-tween the test pair and the contents of memory, in which bothitem and associative matches are pooled together into a sin-gle source. This retrieval architecture is inconsistent with bothstrictly serial processing and independence of item and asso-ciative information. Pooling of item and associative matchesimplies that while item and associative information may beseparable, they are not qualitatively different, nor are quali-tatively different processes (e.g., familiarity vs. recollection)used to retrieve these kinds of information.","language":"eng","license":{"name":"","short_name":"","text":null,"url":""},"keywords":[{"word":"Memory models; associative recognition; systemsfactorial technology; Bayesian statistics."}],"section":"Papers","is_remote":true,"remote_url":"https://escholarship.org/uc/item/0gj625m6","frozenauthors":[{"first_name":"Gregory","middle_name":"E.","last_name":"Cox","name_suffix":"","institution":"Syracuse University","department":""},{"first_name":"Amy","middle_name":"H.","last_name":"Criss","name_suffix":"","institution":"Syracuse University","department":""}],"date_submitted":null,"date_accepted":null,"date_published":"2016-01-01T18:00:00Z","render_galley":null,"galleys":[{"label":"PDF","type":"pdf","path":"https://journalpub.escholarship.org/cognitivesciencesociety/article/26331/galley/15967/download/"}]}