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序列处理中的层次结构:如何衡量它及其神经实现。

Hierarchical Structure in Sequence Processing: How to Measure It and Determine Its Neural Implementation.

机构信息

Department of Psychology, Department of Linguistics, Stockholm University.

Swedish Collegium for Advanced Study (SCAS).

出版信息

Top Cogn Sci. 2020 Jul;12(3):910-924. doi: 10.1111/tops.12442. Epub 2019 Jul 30.

Abstract

In many domains of human cognition, hierarchically structured representations are thought to play a key role. In this paper, we start with some foundational definitions of key phenomena like "sequence" and "hierarchy," and then outline potential signatures of hierarchical structure that can be observed in behavioral and neuroimaging data. Appropriate behavioral methods include classic ones from psycholinguistics along with some from the more recent artificial grammar learning and sentence processing literature. We then turn to neuroimaging evidence for hierarchical structure with a focus on the functional MRI literature. We conclude that, although a broad consensus exists about a role for a neural circuit incorporating the inferior frontal gyrus, the superior temporal sulcus, and the arcuate fasciculus, considerable uncertainty remains about the precise computational function(s) of this circuitry. An explicit theoretical framework, combined with an empirical approach focusing on distinguishing between plausible alternative hypotheses, will be necessary for further progress.

摘要

在人类认知的许多领域中,层次结构的表示被认为起着关键作用。在本文中,我们首先对“序列”和“层次结构”等关键现象进行了一些基本定义,然后概述了可以在行为和神经影像学数据中观察到的潜在层次结构特征。适当的行为方法包括来自心理语言学的经典方法以及来自最近的人工语法学习和句子处理文献中的一些方法。然后,我们转向神经影像学证据,重点关注功能磁共振成像文献。我们的结论是,尽管存在关于包含下额叶回、颞上回和弓状束的神经回路在层次结构中的作用的广泛共识,但对于该回路的确切计算功能仍存在相当大的不确定性。明确的理论框架,结合关注区分合理替代假设的实证方法,对于进一步的进展是必要的。

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