Dehaene-Lambertz Ghislaine
Cognitive Neuroimaging Unit, CEA DRF/I2BM, INSERM, Université Paris-Sud, Université Paris-Saclay, NeuroSpin Center, 91191, Gif/Yvette, France.
Psychon Bull Rev. 2017 Feb;24(1):48-55. doi: 10.3758/s13423-016-1156-9.
To understand the type of neural computations that may explain how human infants acquire their native language in only a few months, the study of their neural architecture is necessary. The development of brain imaging techniques has opened the possibilities of studying human infants without discomfort, and although these studies are still sparse, several characteristics are noticeable in the human infant's brain: first, parallel and hierarchical processing pathways are observed before intense exposure to speech with an efficient temporal coding in the left hemisphere and, second, frontal regions are involved from the start in infants' cognition. These observations are certainly not sufficient to explain language acquisition but illustrate a new approach that relies on a better description of infants' brain activity during linguistic tasks, which is compared to results in animals and human adults to clarify the neural bases of language in humans.
为了理解可能解释人类婴儿如何在短短几个月内习得母语的神经计算类型,对其神经结构进行研究是必要的。脑成像技术的发展开启了在不给人类婴儿带来不适的情况下进行研究的可能性,尽管这类研究仍然较少,但在人类婴儿大脑中可以观察到几个显著特征:首先,在大量接触语言之前,左半球就存在并行和分层的处理通路,并具有高效的时间编码;其次,额叶区域从一开始就参与婴儿的认知。这些观察结果当然不足以解释语言习得,但说明了一种新方法,该方法依赖于对婴儿在语言任务期间大脑活动的更好描述,并将其与动物和成年人类的结果进行比较,以阐明人类语言的神经基础。