语义语言解码跨参与者和刺激模式
Jerry Tang1, Alexander G Huth2
1Department of Computer Science, The University of Texas at Austin, Austin, TX 78712, USA.
Current biology : CB
|February 7, 2025
概括
这项研究表明,大脑解码器可以使用其他人的语义表示来重建语言. 这种方法减少了对参与者特定培训数据的需求,帮助那些语言生产和理解能力受损的人.
科学领域:
- 神经科学是一个神经科学.
- 认知科学 认知科学
- 计算语言学 计算语言学
背景情况:
- 大脑解码器从语义表示重建语言,以帮助沟通.
- 目前的方法需要广泛的参与者特定的培训数据.
- 语言产生障碍往往与理解障碍同时发生.
研究的目的:
- 在没有参与者特定的语言培训数据的情况下测试语言解码.
- 通过功能对齐来研究交叉参与者语义解码器转移.
- 评估跨参与者解码器对脑损伤的稳定性.
主要方法:
- 在参考参与者的大脑反应上训练有素的语义解码器.
- 使用功能对齐将解码器传输给目标参与者.
- 使用语言 (故事) 和非语言 (电影) 刺激来比较功能调整.
- 通过排除大脑区域来评估解码器的稳定性.
主要成果:
- 跨参与者解码器在没有目标参与者语言数据的情况下实现了语义相关的预测.
- 使用电影的功能对齐对于解码器传输是有效的.
- 语言和视觉之间的语义表示共享在皮层区域之间是可比的.
- 交叉参与者解码器是强大的,排除单个大脑区域.
结论:
- 跨参与者解码显著减少了对个人语言培训的需求.
- 这种方法可以为严重语言障碍的人提供语言解码.
- 大脑的语义表示在很大程度上是跨个体和模式共享的.
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