{"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/"}]}