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  • 教师姓名: 谢俊
  • 电子邮箱:
  • 所在单位: 机械工程学院
  • 学历: 博士研究生毕业
  • 办公地点: 西安交通大学曲江校区西五楼A209室;
    西安交通大学创新港校区2号巨构3175室。
  • 性别: 男
  • 联系方式:
  • 学位: 博士
  • 职称: 教授
  • 博士生导师: 是
  • 硕士生导师: 是

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Addition of visual noise boosts evoked potential-based brain-computer interface

发布时间:2025-04-30
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发布时间:
2025-04-30
论文名称:
Addition of visual noise boosts evoked potential-based brain-computer interface
发表刊物:
Scientific Reports
摘要:
Although noise has a proven beneficial role in brain functions, there have not been any attempts on the dedication of stochastic resonance effect in neural engineering applications, especially in researches of brain-computer interfaces (BCIs). In our study, a steady-state motion visual evoked potential (SSMVEP)-based BCI with periodic visual stimulation plus moderate spatiotemporal noise can achieve better offline and online performance due to enhancement of periodic components in brain responses, which was accompanied by suppression of high harmonics. Offline results behaved with a bell-shaped resonance-like functionality and 7–36% online performance improvements can be achieved when identical visual noise was adopted for different stimulation frequencies. Using neural encoding modeling, these phenomena can be explained as noise-induced input-output synchronization in human sensory systems which commonly possess a low-pass property. Our work demonstrated that noise could boost BCIs in addressing human needs.
合写作者:
Jun Xie, Guanghua Xu, Jing Wang, Sicong Zhang, et al.
是否译文:
发表时间:
2014-05-14