首页> 外文期刊>The Journal of Neuroscience: The Official Journal of the Society for Neuroscience >Representation of abstract quantitative rules applied to spatial and numerical magnitudes in primate prefrontal cortex
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Representation of abstract quantitative rules applied to spatial and numerical magnitudes in primate prefrontal cortex

机译:灵长类前额叶皮层中适用于空间和数值大小的抽象定量规则的表示

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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.Amajority 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.".
机译:基于抽象原理处理数量信息对于智能行为至关重要。先前已经在额前皮层(PFC)中确定了定量规则选择性的神经相关性。但是,单个神经元是否代表适用于多种幅度类型的规则尚不清楚。我们从PFC神经元记录下来,而猴子则在适用于空间和数值大小的“大于/小于”规则之间切换。大多数规则选择神经元仅对应用于一种特定大小类型的定量规则做出响应。但是,另一组神经元则推广了量级原理,并代表了与两个量级相关的定量规则。这表明灵长类大脑使用规则选择神经元,专门用于指导仅与特定量级类型有关的决策,以及泛化对总体概念“量级规则”做出抽象响应的神经元。

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