arXiv cs.AI· Yi Guo, Yong Hu, Michael Kwok-Po Ng, Shuqiang Wang·· 12 小时前AI 评分31
多语言大脑解码揭示跨语言共享的皮层语义几何结构
Multilingual Brain Decoding Reveals Shared Cortical Semantic Geometry
AI 导读
研究团队开发多语言大脑解码框架，分析227名中文、英文和法文被试的脑记录，发现皮层语义表征在不同语言和个体间呈现一致的语义几何关系。这种跨语言一致性从感觉运动皮层向高阶联合皮层递增，形成与皮层主要功能梯度高度吻合的共享语义几何梯度。
正文 · 原文
Abstract:Human languages differ markedly in lexical and syntactic form yet can convey similar semantic content. The neural basis of this cross-language semantic commonality remains unclear. Here we developed a multilingual brain decoding framework and analysed brain recordings from 227 participants spanning Chinese, English and French. We found that cortical semantic representations exhibited consistent semantic geometry relationships across languages and individuals, revealing a shared cortical semantic geometry. Importantly, the cross-language consistency of cortical semantic geometry increased from sensorimotor to higher-order association cortex, forming a shared semantic geometry gradient closely aligned with the principal cortical functional gradient. Our work establishes generalizable multilingual brain decoding and identifies stable cortical semantic geometry as a neural basis for semantic commonality across languages.
| Subjects: | Neurons and Cognition (q-bio.NC); Artificial Intelligence (cs.AI) |
| Cite as: | arXiv:2610.26927 [q-bio.NC] |
| (or arXiv:2610.26927v1 [q-bio.NC] for this version) | |
| https://doi.org/10.48550/arXiv.2610.26927 arXiv-issued DOI via DataCite |
Submission history
From: Shuqiang Wang [view email]
[v1]
Sat, 17 Oct 2026 14:19:49 UTC (39,608 KB)
来源：arXiv cs.AI · arxiv.org