研究发现,语言处理的人类脑神经代码与大型语言模式相似。 Study finds human brain neural code for language processing resembles large language models.

一项研究表明,人类大脑和大型语言模式在语言处理方面有着类似的神经代码,从而在面对面的交谈中能够更好地了解演讲者的信息。 A study reveals that human brain and large language models share a similar neural code for language processing, enabling better understanding of speaker's messages during face-to-face conversations. 研究人员通过分析无记录对话中的电子脑活动,发现发言者的脑活动符合共同神经代码,该代码类似于LLMS的人工神经代码。 By analyzing electrical brain activity during unscripted conversations, researchers discovered that speakers' brain activity aligns on a shared neural code, which resembles the artificial neural code of LLMs. 这项研究使人们深入了解人类大脑的语言处理以及人类和机器如何使用这一代码进行交流。 The study provides insights into language processing in the human brain and how both humans and machines can use this code to communicate.