Tamayo Ricardo, Frensch Peter A
1 Universidad Nacional de Colombia, Bogota, Colombia.
2 Humboldt-Universität zu Berlin, Germany.
Exp Psychol. 2015;62(4):240-53. doi: 10.1027/1618-3169/a000293. Epub 2015 Jan 1.
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.
先前的研究表明,对人工语法的显性和隐性知识可能以不同的速率衰退(例如,塔马约和弗伦施,2007年;滕尼,2003年)。我们将这些发现扩展到串行反应时(SRT)任务中所包含的序列规则。我们比较了在没有复述的7天保留间隔后,隐性和显性知识的遗忘模式。显性知识在7天后衰退,而隐性知识得以保留。这些数据是根据尚克斯、威尔金森和钱农(2003年)提出的单系统模型所涉及的假设进行建模的。通过修改与(a)隐性和显性知识的共同知识强度变量,以及(b)显性测试的可靠性相关的参数,获得了该模型的最佳拟合。我们将这些分离解释为单系统模型的一个边界条件,该模型假设恒定的随机噪声来解释隐性和显性序列知识遗忘模式中的分离。