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Neural correlates of rule-based and information-integration visual category learning.

机译:基于规则和信息集成视觉类别学习的神经关联。

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摘要

An emerging theory of the neurobiology of category learning postulates that there are separate neural systems supporting the learning of categories based on verbalizeable rules (RB) or through implicit information integration (II). The medial temporal lobe (MTL) is thought to play a crucial role in successful RB categorization, whereas the posterior regions of the caudate are hypothesized to support II categorization. Functional neuroimaging was used to assess activity in these systems during category-learning tasks with category structures designed to afford either RB or II learning. Successful RB categorization was associated with relatively increased activity in the anterior MTL. Successful II categorization was associated with increased activity in the caudate body. The dissociation observed with neuroimaging is consistent with the roles of these systems in memory and dissociations reported in patient populations. Convergent evidence from these approaches consistently reinforces the idea of multiple neural systems supporting category learning.
机译:类别学习的神经生物学的一种新兴理论认为,有单独的神经系统支持基于可语言化规则(RB)或通过隐式信息集成(II)进行类别学习。颞叶内侧(MTL)被认为在成功的RB分类中起着至关重要的作用,而尾状叶的后部区域被认为可以支持II分类。功能性神经影像学被用于评估类别学习任务期间这些系统中的活动,这些任务具有旨在提供RB或II学习的类别结构。成功的RB分类与前MTL活动相对增加有关。 II类成功分类与尾状体活动增加有关。用神经影像学观察到的解离与这些系统在患者人群中报告的记忆和解离中的作用一致。从这些方法获得的越来越多的证据一致地强化了支持类别学习的多种神经系统的思想。

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