• 校内登录

个人信息 更多+
  • 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

论文成果

当前位置: 中文主页 - 科学研究 - 论文成果

Performance Evaluation of Visual Noise Imposed Stochastic Resonance Effect on Brain-Computer Interface Application: A Comparison Between Motion-Reversing Simple Ring and Complex Checkerboard Patterns

发布时间:2025-04-30
点击次数:
发布时间:
2025-04-30
论文名称:
Performance Evaluation of Visual Noise Imposed Stochastic Resonance Effect on Brain-Computer Interface Application: A Comparison Between Motion-Reversing Simple Ring and Complex Checkerboard Patterns
发表刊物:
Frontiers in Neuroscience
摘要:
Adding noise to a weak input signal can enhance the response of a non-linear system, a phenomenon known as stochastic resonance (SR). SR has been demonstrated in a variety of diverse sensory systems including the visual system, where visual noise enhances human motion perception and detection performance. The SR effect has not been extensively studied in brain-computer interface (BCI) applications. This study compares the performance of BCIs based on SR-influenced steady-state motion visual evoked potentials. Stimulation paradigms were used between a periodically monochromatic motion-reversing simple ring and complex alternating checkerboard stimuli. To induce the SR effect, dynamic visual noise was masked on both the periodic simple and complex stimuli. Offline results showed that the recognition accuracy of different stimulation targets followed an inverted U-shaped function of noise level, which is a hallmark of SR. With the optimal visual noise level, the proposed visual noise masked checkerboard BCI paradigm achieved faster and more stable detection performance due to the noise-enhanced brain responses. This work demonstrates that the SR effect can be employed in BCI applications and can achieve considerable performance improvements.
合写作者:
Jun Xie, Guangjing Du, Guanghua Xu, Xingang Zhao, Peng Fang, Min Li, Guozhi Cao,
是否译文:
发表时间:
2019-11-08