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Temporal Stability of Implicit Sequence Knowledge Implications for Single-system Models of Memory

机译:内存单系统模型的隐式序列知识蕴涵的时间稳定性

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摘要

Previous research has shown that explicit and implicit knowledge of artificial grammars may decay at different rates (e.g., Tamayo & Frensch, 2007; Tunney, 2003). We extend these findings to sequential regularities embedded in serial reaction time (SRT) tasks. We compared the forgetting patterns of implicit and explicit knowledge after a retention interval of 7 days without rehearsal. Explicit knowledge decayed after 7 days, whereas implicit knowledge was retained. These data were modeled according to the assumptions involved in the single-system model suggested by Shanks, Wilkinson, and Channon (2003). The best fit for the model was obtained by modifying the parameters related to (a) the common knowledge-strength variable for implicit and explicit knowledge, and (b) reliability of the explicit test. We interpret these dissociations as a boundary condition for single-system models that assume constant random noise to explain dissociations in the forgetting patterns of implicit and explicit sequential knowledge.
机译:先前的研究表明,对人工语法的显性和隐性知识可能会以不同的速率衰减(例如Tamayo&Frensch,2007; Tunney,2003)。我们将这些发现扩展到嵌入在串行反应时间(SRT)任务中的顺序规律。我们比较了在没有排练的情况下保留7天后隐性和显性知识的遗忘模式。显性知识在7天后消失,而隐性知识得以保留。这些数据是根据Shanks,Wilkinson和Channon(2003)建议的单系统模型中的假设建模的。通过修改与(a)隐性和显性知识的公共知识强度变量以及(b)显式测试的可靠性有关的参数,可以得到最适合该模型的参数。我们将这些解离解释为假设具有恒定随机噪声的单系统模型的边界条件,以解释隐式和显式顺序知识的遗忘模式中的解离。

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