使用大型语言模型在大脑中绘制概念和关系语义表示
Paul C Bogdan1, Cortney M Howard1, Roberto Cabeza1
1Department of Psychology and Neuroscience, Duke University, Durham, NC 27708, USA.
Current biology : CB
|February 26, 2026
概括
这项研究揭示了大脑如何组织语义信息,绘制概念及其关系的处理位置. 特定的大脑区域,包括头顶皮质,前额皮质和基底,对于编码关系信息至关重要.
科学领域:
- 认知神经科学 认知神经科学
- 计算神经科学是一种神经科学.
- 神经成像是一种神经成像.
背景情况:
- 了解大脑中的语义信息组织是一个关键的挑战.
- 以前的研究集中在概念表示上,不清楚关系表示的位置.
研究的目的:
- 调查关系语义信息在大脑中代表的位置,独立于概念信息.
- 将语义关系的神经表示与推理的行为指标联系起来.
主要方法:
- 使用大型语言模型从文本中提取关系嵌入.
- 收集行为数据 (n=636) 和功能磁共振成像 (fMRI) 数据 (n=60).
- 应用代表性相似性分析到使用提取嵌入的fMRI数据.
主要成果:
- 大型语言模型嵌入式捕获了独立的概念和关系信息.
- 尾和下叶主要代表孤立的概念.
- 关系结构代表着概念和关系.
- 背侧前额皮质和基底带显示出强大的关系表征与最小的概念表征.
- 关系表达的强度与推理能力相关联.
结论:
- 该研究绘制了概念的神经表征及其在大脑中的关系.
- 确定了用于仅概念,概念与关系和仅关系处理的独特的大脑区域.
- 证明了语义关系的神经编码与行为推理之间的联系.
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