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{ "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/" } ] }