双大脑信号上的神经计算是自然对话期间的人际预测的基础
Tengfei Zhang1, Siyuan Zhou2, Xialu Bai1
1State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, PR China.
NeuroImage
|October 2, 2023
概括
这项研究表明,大脑如何预测对话中的语言. 它揭示了一个双大脑层次结构,其中一个人是一个人.
科学领域:
- 神经科学是一个神经科学.
- 认知科学 认知科学
- 社会互动 社交互动
背景情况:
- 谈话依赖于预测伴侣的言语.
- 以前的研究集中在单个大脑上,让人际关系预测假设未经测试.
研究的目的:
- 在双大脑层面测试人际关系预测假说.
- 在自然对话中研究预测的神经机制.
主要方法:
- 利用神经计算建模和功能近红外光谱 (fNIRS) 超扫描.
- 在一个说服任务中记录了两个销售人员和一个客户的血液动力学信号.
主要成果:
- 确定了认知层次:销售人员的务实过程与客户的价值表示相互作用.
- 特定的大脑区域 (rdlPFC,rTPJ,rIFC) 与价值和务实表示有关.
- 神经计算模型从客户的活动中成功预测了销售人员的大脑活动.
结论:
- 提供了在双大脑水平上对人际关系预测假设的初步支持.
- 在对话中揭示了人际预测中的等级结构.
- 特定大脑区域之间的神经计算取决于上下文.
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