范畴学习是语言进化的认知基础。

IF 3.2 2区 心理学 Q1 PSYCHOLOGY, EXPERIMENTAL
Elizabeth Qing Zhang, Edward Ruoyang Shi, Michael Pleyer
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引用次数: 0

摘要

类别学习产生了类别形成,类别形成是人类认知的一项重要能力。范畴学习也是语言发展过程中必须具备的学习能力之一。因此,理解范畴学习的演变有助于揭示人类认知和语言的演变。本文通过回顾跨物种范畴学习的行为学和神经学研究,强调了范畴学习在语言进化中的基础作用。在此过程中,我们首先回顾了类别学习在学习语音、单词和语言语法模式中的关键作用的研究。其次,从比较的角度,我们回顾了不同种类的非人类动物(包括无脊椎动物和脊椎动物)的类别学习研究,表明类别学习具有进化连续性。然后,从神经学的角度来看,我们关注前额皮质和基底神经节。回顾这些结构在脊椎动物中的参与,以及提出的与无脊椎动物基底神经节在类别学习以及人类语言处理中的同源脑结构,表明类别学习的神经基础可能有一个古老的起源,可以追溯到无脊椎动物。根据非人类动物和人类的行为和神经学水平的证据,我们得出结论,类别学习为语言进化奠定了重要的认知基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Category Learning as a Cognitive Foundation of Language Evolution.

Category learning gives rise to category formation, which is a crucial ability in human cognition. Category learning is also one of the required learning abilities in language development. Understanding the evolution of category learning thus can shed light on the evolution of human cognition and language. The current paper emphasizes its foundational role in language evolution by reviewing behavioral and neurological studies on category learning across species. In doing so, we first review studies on the critical role of category learning in learning sounds, words, and grammatical patterns of language. Next, from a comparative perspective, we review studies on category learning conducted on different species of nonhuman animals, including invertebrates and vertebrates, suggesting that category learning displays evolutionary continuity. Then, from a neurological perspective, we focus on the prefrontal cortex and the basal ganglia. Reviewing the involvement of these structures in vertebrates and the proposed homologous brain structure to the basal ganglia in invertebrates in category learning, as well as in language processing in humans, suggests that the neural basis of category learning likely has an ancient origin dating back to invertebrates. With evidence from both behavioral and neurological levels in both nonhuman animals and humans, we conclude that category learning lays a crucial cognitive foundation for language evolution.

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来源期刊
CiteScore
7.30
自引率
7.70%
发文量
50
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