A neuronal model of a global workspace in effortful cognitive tasks
A neuronal model of a global workspace in effortful cognitive tasks
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DOI：
10.1073/pnas.95.24.14529
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发表时间：
1998-11-24
影响因子：
11.1
通讯作者：
Changeux, JP
中科院分区：
文献类型：
--
作者：
Dehaene, S;Kerszberg, M;Changeux, JP
提出了一个关于努力任务背后的大脑过程的最小假设。它区分了两个主要的计算空间：一个独特的全球工作空间，由分布和高度互连的神经元组成，具有长距离轴突，以及一组专门的和模块化的感知，运动，记忆，评估和注意力处理器，工作空间神经元在专门的处理器不足以完成的任务中被动员起来。它们通过下行连接选择性地调动或抑制特定处理器神经元的贡献。在执行任务的过程中，工作区神经元自发地被共激活，形成离散的，但可变的时空模式受到警惕信号的调制和奖励信号的选择。Stroop任务的计算机模拟显示，工作空间激活增加收购期间的一个新的任务，努力执行，错误后。我们概述了大脑成像期间时空激活模式的预测，特别是背外侧前额叶皮质和前扣带回对工作空间的贡献。
A minimal hypothesis is proposed concerning the brain processes underlying effortful tasks. It distinguishes two main computational spaces: a unique global workspace composed of distributed and heavily interconnected neurons with long-range axons, and a set of specialized and modular perceptual, motor, memory, evaluative, and attentional processors, Workspace neurons are mobilized in effortful tasks for which the specialized processors do not suffice. They selectively mobilize or suppress, through descending connections, the contribution of specific processor neurons. In the course of task performance, workspace neurons become spontaneously coactivated, forming discrete though variable spatio-temporal patterns subject to modulation by vigilance signals and to selection by reward signals. A computer simulation of the Stroop task shows workspace activation to increase during acquisition of a novel task, effortful execution, and after errors. We outline predictions for spatio-temporal activation patterns during brain imaging, particularly about the contribution of dorsolateral prefrontal cortex and anterior cingulate to the workspace.