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

机译:顺序处理中的分层结构:如何衡量它并确定其神经实现

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摘要

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.
机译:在人类认知的许多领域中,分层结构化表示都被认为发挥关键作用。在本文中,我们从“序列”和“层次结构”中的关键现象的一些基本定义开始,然后在行为和神经影像数据中概述分层结构的潜在签名。适当的行为方法包括来自精神语言学的经典方法,以及一些来自最近的人工语法学习和句子处理文献。然后,我们转向分层结构的神经影像证据,重点是功能性MRI文献。我们得出结论,尽管存在广泛的共识,但是涉及包含较差的额相回到的神经电路的作用,较高的时间沟和弧形坐坐标,仍然是该电路的精确计算功能的相当大的不确定性。一项明确的理论框架,结合着一种专注于区分合理的替代假设的实证方法,将需要进一步进步。

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