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
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 perfor...
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doaj-40f163d4bc61481ea50dd5070c49f1142020-11-25T01:26:22ZengFrontiers Media S.A.Frontiers in Neuroscience1662-453X2019-11-011310.3389/fnins.2019.01192483327Performance Evaluation of Visual Noise Imposed Stochastic Resonance Effect on Brain-Computer Interface Application: A Comparison Between Motion-Reversing Simple Ring and Complex Checkerboard PatternsJun Xie0Jun Xie1Jun Xie2Guangjing Du3Guanghua Xu4Guanghua Xu5Xingang Zhao6Peng Fang7Min Li8Guozhi Cao9Guanglin Li10Tao Xue11Yanjun Zhang12School of Mechanical Engineering, Xi’an Jiaotong University, Xi’an, ChinaState Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, ChinaState Key Laboratory for Manufacturing Systems Engineering, Xi’an Jiaotong University, Xi’an, ChinaSchool of Mechanical Engineering, Xi’an Jiaotong University, Xi’an, ChinaSchool of Mechanical Engineering, Xi’an Jiaotong University, Xi’an, ChinaState Key Laboratory for Manufacturing Systems Engineering, Xi’an Jiaotong University, Xi’an, ChinaState Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, ChinaCAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institutes of Advanced Technology, Shenzhen, ChinaSchool of Mechanical Engineering, Xi’an Jiaotong University, Xi’an, ChinaSchool of Mechanical Engineering, Xi’an Jiaotong University, Xi’an, ChinaCAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institutes of Advanced Technology, Shenzhen, ChinaSchool of Mechanical Engineering, Xi’an Jiaotong University, Xi’an, ChinaSchool of Mechanical Engineering, Xi’an Jiaotong University, Xi’an, ChinaAdding 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.https://www.frontiersin.org/article/10.3389/fnins.2019.01192/fullbrain-computer interface (BCI)visual noisestochastic resonance (SR)motion-reversing stimulationcheckerboardsingle ring |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Jun Xie Jun Xie Jun Xie Guangjing Du Guanghua Xu Guanghua Xu Xingang Zhao Peng Fang Min Li Guozhi Cao Guanglin Li Tao Xue Yanjun Zhang |
spellingShingle |
Jun Xie Jun Xie Jun Xie Guangjing Du Guanghua Xu Guanghua Xu Xingang Zhao Peng Fang Min Li Guozhi Cao Guanglin Li Tao Xue Yanjun Zhang 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 Frontiers in Neuroscience brain-computer interface (BCI) visual noise stochastic resonance (SR) motion-reversing stimulation checkerboard single ring |
author_facet |
Jun Xie Jun Xie Jun Xie Guangjing Du Guanghua Xu Guanghua Xu Xingang Zhao Peng Fang Min Li Guozhi Cao Guanglin Li Tao Xue Yanjun Zhang |
author_sort |
Jun Xie |
title |
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 |
title_short |
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 |
title_full |
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 |
title_fullStr |
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 |
title_full_unstemmed |
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 |
title_sort |
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 |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Neuroscience |
issn |
1662-453X |
publishDate |
2019-11-01 |
description |
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. |
topic |
brain-computer interface (BCI) visual noise stochastic resonance (SR) motion-reversing stimulation checkerboard single ring |
url |
https://www.frontiersin.org/article/10.3389/fnins.2019.01192/full |
work_keys_str_mv |
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