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Working Memory Capacity, Memory Load, and Cognitive Control Network

机译:工作存储器容量,内存负载和认知控制网络

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An important function of working memory (WM) is to integrate incoming information into an appropriate cognitive model by using two executive functions (EFs that govern the coordination and manipulation of information in WM (Baddeley, 2012). Three core EFs are commonly differentiated: updating, shifting, and inhibition (Scharinger et al., 2015). In order to design an augmented cognition program that identifies and extracts meaningful neurophysiological features related to a human operator’s cognitive state as well as the level of mental workload, we must first understand neural mechanisms underlying EFs, which are building blocks of cognition.
机译:工作存储器(WM)的一个重要功能是通过使用两个执行功能将传入的信息集成到适当的认知模型中(efs管理WM中的信息的协调和操作(Baddeley,2012)。三个核心EFS通常是区分:更新,转移和抑制(Scharinger等,2015)。为了设计一种识别和提取与人类运营商的认知状态相关的有意义的神经生理特征以及精神上工作量水平的增强认知程序,我们必须先了解神经网络底层EFS的机制,其是构建认知块。

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