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An Extension of SIC Predictions to the Wiener Coactive Model
The survivor interaction contrasts (SIC) is a powerful measure for distinguishing among candidate models of human information processing. One class of models to which SIC analysis can apply are the coactive, or channel summation, models of human information processing. In general, parametric forms o...
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| 主要な著者: | , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2011
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3150577/ https://ncbi.nlm.nih.gov/pubmed/21822333 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jmp.2011.02.002 |
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