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Dynamic goal states: Adjusting cognitive control without conflict monitoring

机译:动态目标状态:无需认知监控即可调整认知控制

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摘要

A central topic in the cognitive sciences is how cognitive control is adjusted flexibly to changing environmental demands at different time scales to produce goal-oriented behavior. According to an influential account, the context-sensitive recruitment of cognitive control is mediated by a specialized conflict monitoring process that registers current conflict and signals the demand for enhanced control in subsequent trials. This view has been immensely successful not least due to supporting evidence from neuroimaging studies suggesting that the conflict monitoring function is localized within the anterior cingulate cortex (ACC) which, in turn, signals the demand for enhanced control to the prefrontal cortex (PFC). In this article, we propose an alternative model of the adaptive regulation of cognitive control based on multistable goal attractor network dynamics and adjustments of cognitive control within a conflict trial. Without incorporation of an explicit conflict monitoring module, the model mirrors behavior in conflict tasks accounting for effects of response congruency, sequential conflict adaptation, and proportion of incongruent trials. Importantly, the model also mirrors frequency tagged EEG data indicating continuous conflict adaptation and suggests a reinterpretation of the correlation between ACC and the PFC BOLD data reported in previous imaging studies. Together, our simulation data propose an alternative interpretation of both behavioral data as well as imaging data that have previously been interpreted in favor of a specialized conflict monitoring process in the ACC.
机译:认知科学的中心主题是如何灵活地调整认知控制以适应不同时间范围内不断变化的环境需求,从而产生面向目标的行为。根据有影响力的说法,认知控制的上下文相关征募是通过专门的冲突监视过程来进行的,该过程记录了当前的冲突并发出了在后续试验中增强控制的需求。这种观点之所以取得巨大成功,不仅因为神经影像学研究的证据表明冲突监测功能位于前扣带回皮层(ACC)中,这反过来又意味着对前额叶皮层(PFC)加强控制的需求。在本文中,我们提出了一种基于多稳定目标吸引子网络动力学和冲突试验中认知控制调整的认知控制自适应调节的替代模型。如果没有合并显式的冲突监视模块,该模型将反映冲突任务中的行为,从而考虑到响应一致性,顺序冲突适应和不一致试验的比例的影响。重要的是,该模型还镜像了频率标签的EEG数据,表明持续的冲突适应,并建议重新解释ACC和先前成像研究中报告的PFC BOLD数据之间的相关性。总之,我们的模拟数据提出了对行为数据以及成像数据的另一种解释,这些数据先前已经被解释为有利于ACC中的专门冲突监视过程。

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