Go/No-Go区分任务的响应时间建模。

Jennifer S Trueblood, Michael J Endres, Jerome R Busemeyer, Peter R Finn
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引用次数: 0

摘要

本文采用一个简单的随机模型作为认知心理测量工具,分析动机不同条件下Go/No-Go Discrimination任务的反应时间数据。模型的参数告诉我们潜在的认知机制,因为它们具有既定的心理学意义,并允许我们量化受试者的能力和反应谨慎。利用这些模型参数,我们重点研究了不同程度药物滥用和反社会行为障碍被试之间的差异,并表明这些被试的决策机制之间存在可靠的差异。利用执行工作记忆任务的数据,我们假设这些认知过程的差异可能是由于工作记忆容量的差异。最终,我们表明,正式的认知建模有潜力为传统数据分析技术无法捕获的临床现象提供有价值的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modeling Response Times in the Go/No-Go Discrimination Task.

The work presented here uses a simple stochastic model as a cognitive psychometric tool for analyzing response time data in the Go/No-Go Discrimination task with motivationally distinct conditions. The parameters of the model inform us of underlying cognitive mechanisms because they have an established psychological meaning and allow us to quantify a subjects ability and response caution. Using these model parameters, we focus on the differences between subjects with varying degrees of substance abuse and antisocial behavioral disorders and show that there are reliable differences between the decision mechanisms of these subjects. Using data from executive working memory tasks, we postulate that these differences in cognitive processes might be due to differences in working memory capacity. Ultimately, we show that formal cognitive modeling has the potential to provide valuable insights into clinical phenomena that cannot be captured by traditional data analysis techniques.

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