Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain.
Philos Trans R Soc Lond B Biol Sci. 2009 Dec 27;364(1536):3711-35. doi: 10.1098/rstb.2009.0130.
Little is known about the brain mechanisms involved in word learning during infancy and in second language acquisition and about the way these new words become stable representations that sustain language processing. In several studies we have adopted the human simulation perspective, studying the effects of brain-lesions and combining different neuroimaging techniques such as event-related potentials and functional magnetic resonance imaging in order to examine the language learning (LL) process. In the present article, we review this evidence focusing on how different brain signatures relate to (i) the extraction of words from speech, (ii) the discovery of their embedded grammatical structure, and (iii) how meaning derived from verbal contexts can inform us about the cognitive mechanisms underlying the learning process. We compile these findings and frame them into an integrative neurophysiological model that tries to delineate the major neural networks that might be involved in the initial stages of LL. Finally, we propose that LL simulations can help us to understand natural language processing and how the recovery from language disorders in infants and adults can be accomplished.
对于婴儿时期的单词学习和第二语言习得过程中涉及的大脑机制,以及这些新单词如何成为支持语言处理的稳定表示形式,人们知之甚少。在几项研究中,我们采用了人类模拟的视角,研究了脑损伤的影响,并结合了不同的神经影像学技术,如事件相关电位和功能磁共振成像,以检查语言学习(LL)过程。在本文中,我们重点回顾了这些证据,探讨了不同的大脑特征如何与(i)从言语中提取单词,(ii)发现其嵌入的语法结构,以及(iii)来自言语语境的意义如何为学习过程背后的认知机制提供信息相关。我们整理了这些发现,并将其纳入一个整合的神经生理学模型中,试图描绘可能参与 LL 初始阶段的主要神经网络。最后,我们提出 LL 模拟可以帮助我们理解自然语言处理,以及如何在婴儿和成人中从语言障碍中恢复。