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{ "pk": 25751, "title": "Statistical and Chunking Processes in Adults' Visual Sequence Learning", "subtitle": null, "abstract": "<p>Much research has documented learners’ ability to segment auditory and visual input into its component units. Two types of models have been designed to account for this phenomena: statistical models, in which learners represent statistical relations between elements, and chunking models, in which learners represent statistically coherent units of information. In a series of three experiments, we investigated how adults’ performance on a visual sequence-learning task aligned with the predictions of these two types of models. Experiments 1 and 2 examined learning of embedded items and Experiment 3 examined learning of illusory items. The pattern of results obtained was most consistent with the competitive chunking model of Servan-Schreiber and Anderson (1990). Implications for theories and models of statistical learning are discussed.</p>", "language": "eng", "license": { "name": "", "short_name": "", "text": null, "url": "" }, "keywords": [ { "word": "statistical learning; transitional probability;chunking; implicit learning" } ], "section": "Papers", "is_remote": true, "remote_url": "https://escholarship.org/uc/item/3f46z1dp", "frozenauthors": [ { "first_name": "Lauren", "middle_name": "K", "last_name": "Slone", "name_suffix": "", "institution": "UCLA", "department": "" }, { "first_name": "Scott", "middle_name": "P", "last_name": "Johnson", "name_suffix": "", "institution": "UCLA", "department": "" } ], "date_submitted": null, "date_accepted": null, "date_published": "2015-01-01T18:00:00Z", "render_galley": null, "galleys": [ { "label": "PDF", "type": "pdf", "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/25751/galley/15375/download/" } ] }