Activity in the fronto-parietal network indicates numerical inductive reasoning beyond calculation: An fMRI study combined with a cognitive model.
Activity in the fronto-parietal network indicates numerical inductive reasoning beyond calculation: An fMRI study combined with a cognitive model.
复制标题
额顶叶网络的活动表明超出计算的数字归纳推理：功能磁共振成像研究与认知模型相结合
DOI：
10.1038/srep25976
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发表时间：
2016-05-19
影响因子：
4.6
通讯作者：
Li K
中科院分区：
文献类型：
--
作者：
Liang P;Jia X;Taatgen NA;Borst JP;Li K
数值归纳推理是指识别和推断数字材料中涉及的规则的过程。它与计算相关，并与计算共享额顶叶区域的共同激活，这表明数值归纳推理可能对应于一般的计算过程。然而，与计算相比，规则识别是推理的关键和独特之处。先前的研究已经确立了额顶叶网络在数值归纳推理规则识别过程中关系整合的核心作用。当前感兴趣的问题是数值归纳推理是否专门对应于计算或超出计算的操作，以及是否可以根据额顶叶网络中的活动模式来区分它们。为了直接解决这个问题，创建了三类问题：数值归纳推理、计算和感知判断。我们的结果表明，额顶叶网络在数值归纳推理中更加活跃，这需要在规则识别过程中中间表示和长期陈述性知识之间进行更多的交换。即使在控制了响应时间和错误率的协变量之后，这些结果仍然存在。使用认知架构 ACT-R 开发了计算认知模型，以解释额顶叶网络中的行为结果和大脑活动。
Numerical inductive reasoning refers to the process of identifying and extrapolating the rule involved in numeric materials. It is associated with calculation and shares the common activation of the fronto-parietal regions with calculation, which suggests that numerical inductive reasoning may correspond to a general calculation process. However, compared with calculation, rule identification is critical and unique to reasoning. Previous studies have established the central role of the fronto-parietal network for relational integration during rule identification in numerical inductive reasoning. The current question of interest is whether numerical inductive reasoning exclusively corresponds to calculation or operates beyond calculation and whether it is possible to distinguish between them based on the activity pattern in the fronto-parietal network. To directly address this issue, three types of problems were created: numerical inductive reasoning, calculation and perceptual judgment. Our results showed that the fronto-parietal network was more active in numerical inductive reasoning which requires more exchanges between intermediate representations and long-term declarative knowledge during rule identification. These results survived even after controlling for the covariates of response time and error rate. A computational cognitive model was developed using the cognitive architecture ACT-R to account for the behavioral results and brain activity in the fronto-parietal network.