Ulrich et al. (2015) proposed the Diffusion Model for Conflict Tasks (DMC). In their article, the diffusion parameter, r, was treated as an extra parameter in fitting DMC to reaction time data. However, this parameter can be regarded as a non-negative scaling parameter and thus can be kept constant during parameter estimation, for example, r = 4 msec. Fixating rwill not affect the goodness of model fits. We thank Craig Hedge, Ronald Hübner, and Mathieu Servant for drawing our attention to this point. An analytical argument clarifies this issue. Let {X(t), tP 0} be an observed random path of a Wiener process with a time-dependent drift. This process is defined as XðtÞ 1⁄4 r BðtÞ þ lðtÞ ð1Þ

中文翻译：

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冲突任务中自动和受控刺激处理的更正：叠加扩散过程和增量函数 [Cogn. 心理学。78 (2015) 148–174]

乌尔里希等人。(2015) 提出了冲突任务的扩散模型 (DMC)。在他们的文章中，扩散参数 r 被视为将 DMC 拟合到反应时间数据的额外参数。然而，该参数可以被视为非负缩放参数，因此可以在参数估计期间保持恒定，例如，r = 4 毫秒。固定 r 不会影响模型拟合的优劣。我们感谢 Craig Hedge、Ronald Hübner 和 Mathieu Servant 提请我们注意这一点。一个分析论证澄清了这个问题。令 {X(t), tP 0} 是随时间漂移的维纳过程的观察随机路径。这个过程被定义为 XðtÞ 1⁄4 r BðtÞ þ lðtÞ ð1Þ