Anderson John R, Albert Mark V, Fincham Jon M
Department of Psychology, Carnegie Mellon University, Pittsburgh, PA 15213, USA.
J Cogn Neurosci. 2005 Aug;17(8):1261-74. doi: 10.1162/0898929055002427.
Previous research has found three brain regions for tracking components of the ACT-R cognitive architecture: a posterior parietal region that tracks changes in problem representation, a prefrontal region that tracks retrieval of task-relevant information, and a motor region that tracks the programming of manual responses. This prior research has used relatively simple tasks to incorporate a slow event-related procedure, allowing the blood oxygen level-dependent (BOLD) response to go back to baseline after each trial. The research described here attempts to extend these methods to tracking problem solving in a complex task, the Tower of Hanoi, which involves many complex steps of cognition and motor actions in rapid succession. By tracking the activation patterns in these regions, it is possible to predict with intermediate accuracy when participants are planning a future sequence of moves. The article describes a cognitive model in the ACT-R architecture that is capable of explaining both the latency data in move generation and the BOLD responses in these three regions.
先前的研究已经发现了三个用于追踪ACT - R认知架构组成部分的脑区：一个后顶叶区域，用于追踪问题表征的变化；一个前额叶区域，用于追踪任务相关信息的检索；还有一个运动区域，用于追踪手部反应的编程。此前的这项研究使用了相对简单的任务，并采用了缓慢的事件相关程序，使得每次试验后血氧水平依赖（BOLD）反应能够回到基线水平。这里所描述的研究试图将这些方法扩展到追踪复杂任务——河内塔任务中的问题解决过程，该任务涉及许多快速连续的复杂认知和运动动作步骤。通过追踪这些区域的激活模式，能够以中等精度预测参与者何时在规划未来的一系列动作。本文描述了ACT - R架构中的一个认知模型，该模型能够解释动作生成中的潜伏期数据以及这三个区域中的BOLD反应。
