Representation of Abstract Quantitative Rules Applied to Spatial and Numerical Magnitudes in Primate Prefrontal Cortex
Representation of Abstract Quantitative Rules Applied to Spatial and Numerical Magnitudes in Primate Prefrontal Cortex
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DOI：
10.1523/jneurosci.5827-12.2013
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发表时间：
2013-04-24
影响因子：
5.3
通讯作者：
Nieder, Andreas
中科院分区：
文献类型：
--
作者：
Eiselt, Anne-Kathrin;Nieder, Andreas
基于抽象原理处理数量信息是智能行为的核心。定量规则选择性的神经关联已经在前额叶皮质(PFC)中被发现。然而，单个神经元是否代表适用于多种大小类型的规则尚不清楚。当猴子在适用于空间和数字大小的“大于/小于”规则之间切换时，我们记录了PFC神经元。大多数规则选择神经元只对应用于一种特定大小类型的定量规则做出反应。然而，另一组神经元概括了幅度原理，并代表了与这两个幅度相关的数量规则。这表明灵长类动物的大脑使用规则选择神经元，这些神经元专门指导只与特定幅度类型相关的决定，以及抽象地对总体概念“幅度规则”做出反应的神经元。
Processing quantity information based on abstract principles is central to intelligent behavior. Neural correlates of quantitative rule selectivity have been identified previously in the prefrontal cortex (PFC). However, whether individual neurons represent rules applied to multiple magnitude types is unknown. We recorded from PFC neurons while monkeys switched between "greater than/less than" rules applied to spatial and numerical magnitudes. A majority of rule-selective neurons responded only to the quantitative rules applied to one specific magnitude type. However, another population of neurons generalized the magnitude principle and represented the quantitative rules related to both magnitudes. This indicates that the primate brain uses rule-selective neurons specialized in guiding decisions related to a specific magnitude type only, as well as generalizing neurons that respond abstractly to the overarching concept "magnitude rules."