Department of Psychology, Vanderbilt University.
Department of Psychology, The Ohio State University.
Psychol Rev. 2014 Jan;121(1):66-95. doi: 10.1037/a0035230.
Response inhibition is an important act of control in many domains of psychology and neuroscience. It is often studied in a stop-signal task that requires subjects to inhibit an ongoing action in response to a stop signal. Performance in the stop-signal task is understood as a race between a go process that underlies the action and a stop process that inhibits the action. Responses are inhibited if the stop process finishes before the go process. The finishing time of the stop process is not directly observable; a mathematical model is required to estimate its duration. Logan and Cowan (1984) developed an independent race model that is widely used for this purpose. We present a general race model that extends the independent race model to account for the role of choice in go and stop processes, and a special race model that assumes each runner is a stochastic accumulator governed by a diffusion process. We apply the models to 2 data sets to test assumptions about selective influence of capacity limitations on drift rates and strategies on thresholds, which are largely confirmed. The model provides estimates of distributions of stop-signal response times, which previous models could not estimate. We discuss implications of viewing cognitive control as the result of a repertoire of acts of control tailored to different tasks and situations.
反应抑制是心理学和神经科学许多领域中的一种重要控制行为。它通常在停止信号任务中进行研究,该任务要求受试者在接收到停止信号时抑制正在进行的动作。停止信号任务中的表现被理解为一个竞争过程,其中一个是进行动作的“go”过程,另一个是抑制动作的“stop”过程。如果“stop”过程在“go”过程之前完成,则响应会被抑制。“stop”过程的结束时间无法直接观察到;需要一个数学模型来估计其持续时间。Logan 和 Cowan(1984)开发了一种独立竞争模型,广泛用于此目的。我们提出了一种通用竞争模型,将独立竞争模型扩展到考虑选择在“go”和“stop”过程中的作用,以及一种特殊竞争模型,假设每个跑步者都是由扩散过程控制的随机累积器。我们将模型应用于 2 个数据集,以测试关于容量限制对漂移率和阈值策略的选择性影响的假设,这些假设得到了很大程度的证实。该模型提供了停止信号反应时间分布的估计,这是以前的模型无法估计的。我们讨论了将认知控制视为针对不同任务和情况量身定制的一系列控制行为的结果的含义。