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Splitting the variance of statistical learning performance: A parametric investigation of exposure duration and transitional probabilities

What determines individuals’ efficacy in detecting regularities in visual statistical learning? Our theoretical starting point assumes that the variance in performance of statistical learning (SL) can be split into the variance related to efficiency in encoding representations within a modality and...

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書誌詳細
出版年:Psychon Bull Rev
主要な著者: Bogaerts, Louisa, Siegelman, Noam, Frost, Ram
フォーマット: Artigo
言語:Inglês
出版事項: 2016
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC4936956/
https://ncbi.nlm.nih.gov/pubmed/26743060
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3758/s13423-015-0996-z
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