论文标题
人脑信号中概念表示的流动性
The Fluidity of Concept Representations in Human Brain Signals
论文作者
论文摘要
人类语言处理的认知理论通常会区分具体和抽象概念。在这项工作中，我们使用一系列分析方法分析了fMRI数据中具体和抽象概念的可区分性。我们发现，可以从信号中以明显高于机会的准确性来解码区别，但并未发现它是聚类和关系分析中的相关结构因素。从我们的详细比较中，我们获得了这样的印象，即人类概念表示比二分法类别更具流动性。我们认为，流体概念表示会导致人类语言处理的更现实的模型，因为它们更好地捕获了自然语言使用中存在的歧义和指定。
Cognitive theories of human language processing often distinguish between concrete and abstract concepts. In this work, we analyze the discriminability of concrete and abstract concepts in fMRI data using a range of analysis methods. We find that the distinction can be decoded from the signal with an accuracy significantly above chance, but it is not found to be a relevant structuring factor in clustering and relational analyses. From our detailed comparison, we obtain the impression that human concept representations are more fluid than dichotomous categories can capture. We argue that fluid concept representations lead to more realistic models of human language processing because they better capture the ambiguity and underspecification present in natural language use.
