在实时二元对话中,神经系统之间的语言合用于语音产生和理解
Zaid Zada1, Samuel A Nastase1, Sebastian Speer1
1Neuroscience Institute and Psychology Department, Princeton University, Princeton NJ.
bioRxiv : the preprint server for biology
|February 24, 2025
概括
人类语言沟通涉及交织在一起的语音产生和理解. 这项研究使用fMRI超扫描来揭示在真实对话中的两个过程重叠的大脑网络,延伸到社会认知领域.
科学领域:
- 神经科学是一个神经科学.
- 认知科学 认知科学
- 语言学的语言学.
背景情况:
- 人类语言主要用于沟通,在日常对话中交织在一起的语音制作和理解.
- 当前的神经研究经常孤立语音感知和语音产生,未能捕捉交互式通信动态.
- 了解交互语言处理的神经基础对于全面了解人类沟通至关重要.
研究的目的:
- 在实时交互式对话中调查交织的语音制作和理解的神经基础.
- 识别涉及语言产生和理解的重叠大脑区域.
- 探讨在双层沟通过程中,语言合是如何在个体大脑中表现出来的.
主要方法:
- 利用功能性磁共振成像 (fMRI) 超扫描,同时记录对交谈对象的脑活动.
- 从大型语言模型中采用了上下文词语嵌入来量化语言合.
- 在交互式对话期间,分析了个体内和个体之间的神经活动模式.
主要成果:
- 确定了一个高度重叠的脑区域网络,支持语音产生和理解,主要是在皮质语言网络内.
- 发现生产和理解的共享神经表征超越了传统的语言网络,进入了社会认知领域.
- 在互动个体的大脑之间展示了显著的语言合.
结论:
- 语音感知和发音的神经系统不是孤立的,而是与共同的语言特征保持一致.
- 一个广泛的皮质网络,包括社会认知区域,支持语言和沟通.
- 这项研究为互动人类沟通的神经基础提供了新的见解.
关键词:
大脑与大脑的合.通信 通信 通信 通信 通信.谈话 会话 会话 会话编码模型的编码模型.超扫描超级扫描是一种超级扫描.大型语言模型 (LLM)自然主义范式的自然主义范式.语音理解 语音理解演讲制作 演讲制作 演讲制作更多相关视频
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