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Updated: May 5, 2026

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使用来自提示演示的数据导致大大高估了语义BCI性能

Milan Rybář1, Riccardo Poli2, Ian Daly3

  • 1Brain-Computer Interfaces and Neural Engineering Laboratory, School of Computer Science and Electronic Engineering, University of Essex, Colchester, CO4 3SQ, UK. contact@milanrybar.cz.

Scientific reports
|November 14, 2024
PubMed
概括

大脑-计算机接口 (BCI) 的语义神经解码显示出有前途. 然而,这项研究发现,可靠的解码只发生在提示呈现期间,而不是精神任务,挑战当前的BCI方法.

关键词:
大脑与计算机接口 (BCI)线索的呈现方式电脑电图 (EEG) 是一种电脑电图.功能性磁共振成像 (fMRI) 是一种功能性磁共振成像.机器学习 机器学习这是心理图像.语义解码是指语义解码.

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