Computational models of performance monitoring and cognitive control.
Computational models of performance monitoring and cognitive control.
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DOI：
10.1111/j.1756-8765.2010.01085.x
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发表时间：
2010-10
影响因子：
3
通讯作者：
Brown JW
中科院分区：
文献类型：
--
作者：
Alexander WH;Brown JW
内侧前额叶皮层（mPFC）作为认知控制的一个部位，一直是人们非常感兴趣的研究对象。已经提出了几个计算模型来解释一系列的影响，包括错误检测，冲突监测，错误可能性预测，以及许多其他的影响与单单位神经生理学，功能磁共振成像和病变研究。在这里，我们回顾了认知控制的计算模型的状态，并提供了一个新的理论合成的mPFC信号响应结果的预测。这种新的综合有两个相互作用的组成部分。第一个组件学习预测计划行动的各种可能结果，第二个组件检测实际和预期响应之间的差异;检测到的差异反过来更新结果预测。这个单一的结构是一致的，广泛的性能监测效果的mPFC，并建议一个统一的帐户的认知作用，内侧PFC性能监测。
The medial prefrontal cortex (mPFC) has been the subject of intense interest as a locus of cognitive control. Several computational models have been proposed to account for a range of effects including error detection, conflict monitoring, error likelihood prediction, and numerous other effects observed with single-unit neurophysiology, fMRI, and lesion studies. Here we review the state of computational models of cognitive control and offer a new theoretical synthesis of the mPFC as signaling response-outcome predictions. This new synthesis has two interacting components. The first component learns to predict the various possible outcomes of a planned action, and the second component detects discrepancies between the actual and intended responses; the detected discrepancies in turn update the outcome predictions. This single construct is consistent with a wide array of performance monitoring effects in mPFC and suggests a unifying account of the cognitive role of medial PFC in performance monitoring.