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A model of dual control mechanisms through anterior cingulate and prefrontal cortex interactions

机译:通过前扣带回和前额叶皮层相互作用的双重控制机制模型

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A computational model is presented that describes dual mechanisms of cognitive control through interactions between the prefrontal cortex (PFC) and anterior cingulate cortex (ACC). One mechanism, reactive control, consists in the transient activation of PFC, based on conflict detected in ACC over a short time-scale. The second mechanism, proactive control, consists in the sustained active maintenance of task-set information in a separate PFC module, driven by long time-scale conflict detected in a separate ACC unit. The computational function of the first mechanism is to suppress the activation of task-irrelevant information just prior to when it could interfere with responding. The role of the second mechanism is to prime task-relevant processing pathways prior to stimulus-onset, in a preparatory fashion. The model provided an excellent fit to both the behavioral and brain imaging data from a previous detailed empirical study on humans performing the color-word version of the Stroop task. The model captured changes in reaction times across conditions, accuracy, and transient and sustained activity dynamics within lateral PFC and ACC.
机译:提出了一种计算模型,该模型描述了通过前额叶皮层(PFC)和前扣带回皮层(ACC)之间的相互作用进行认知控制的双重机制。一种机制是无功控制,它是基于在短时间内在ACC中检测到的冲突而瞬时激活PFC的方法。第二种机制是主动控制,它包括在单独的PFC模块中持续主动维护任务集信息,这是由在单独的ACC单元中检测到的长时间尺度冲突导致的。第一种机制的计算功能是在与任务无关的信息可能会干扰响应之前将其抑制。第二种机制的作用是以刺激的方式在刺激发作之前预备与任务相关的处理途径。该模型非常适合先前关于执行Stroop任务的彩色单词版本的人类的详细经验研究的行为和大脑成像数据。该模型捕获了条件,准确度以及横向PFC和ACC内瞬态和持续活动动态的反应时间变化。

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