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Activity in the fronto-parietal network indicates numerical inductive reasoning beyond calculation: An fMRI study combined with a cognitive model

机译:额顶网络中的活动表明数字归纳推理超出了计算范围:fMRI研究与认知模型的结合

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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.
机译:数字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,并且与计算共享对额顶区域的共同激活,这表明数值归纳推理可能对应于一般的计算过程。但是,与计算相比,规则识别至关重要,并且是推理所独有的。先前的研究已经确定了额顶网络在数值归纳推理中的规则识别过程中对于关系整合的核心作用。当前关注的问题是数值归纳推理是否仅与计算相对应或超出计算范围,是否可以基于额顶网络中的活动模式在数值归纳推理之间进行区分。为了直接解决这个问题,创建了三种类型的问题:数值归纳推理,计算和感知判断。我们的结果表明,额顶网络在数值归纳推理中更活跃,在规则识别过程中需要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。使用认知体系ACT-R开发了计算认知模型,以说明额顶网络中的行为结果和大脑活动。

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