Department of Brain and Cognitive Sciences & McGovern Institute for Brain Research, Massachusetts Institute of Technology, 43 Vassar Street, Cambridge, MA 02139, USA.
Neuron. 2024 Sep 25;112(18):2996-2998. doi: 10.1016/j.neuron.2024.09.005.
In this issue of Neuron, Zada et al. examine how linguistic information flows from a speaker's brain to a listener's brain during face-to-face spontaneous conversation. The authors use intracranial recordings from five pairs of epilepsy patients and neural network language models to establish the existence of an abstract, linguistic space that is shared during conversation.
在本期《神经元》杂志中,Zada 等人研究了在面对面的自然对话中,语言信息如何从说话者的大脑流向听者的大脑。作者使用了五对癫痫患者的颅内记录和神经网络语言模型,以确定在对话过程中存在一个共享的抽象语言空间。