{"pk":27512,"title":"Investigating the predictions of a memory-based account of statistical learning","subtitle":null,"abstract":"Statistical learning (SL) refers to the ability to extract statistical regularities from the environment. Many researchersbelieve that SL arises as a consequence of the way that information is stored and accessed in memory (Thiessen, Kronstein,& Hufnagle, 2013). Accordingly, manipulations that influence memory should have similar effects in SL experiments. In thecurrent study, participants were presented with artificial languages that varied along two dimensions known to impact memory:number of distractors in the input and timing of presentation (e.g., spaced vs. massed). Participants’ performance was clearlyinfluenced by these manipulations; for example, the ability to segment a word (e.g., ”dupona”) differed as a function of whetherthere was one frequent competitor (e.g., ”dugalo”) or several less frequent competitors (e.g., ”dugalo,” ”dufalu,” ”dumiso”).Experimental results were compared to two memory-based computational models of SL (PARSER and TRACX). Implicationsof the experimental results and model comparisons will be discussed.","language":"eng","license":{"name":"","short_name":"","text":null,"url":""},"keywords":[],"section":"Posters: Member Abstracts","is_remote":true,"remote_url":"https://escholarship.org/uc/item/6fg9q3jm","frozenauthors":[{"first_name":"Sandrine","middle_name":"","last_name":"Girard","name_suffix":"","institution":"Carnegie Mellon University","department":""},{"first_name":"Erik","middle_name":"","last_name":"Thiessen","name_suffix":"","institution":"Carnegie Mellon University","department":""}],"date_submitted":null,"date_accepted":null,"date_published":"2017-01-01T18:00:00Z","render_galley":null,"galleys":[{"label":"PDF","type":"pdf","path":"https://journalpub.escholarship.org/cognitivesciencesociety/article/27512/galley/17148/download/"}]}