Abstract
Error-related potentials (ErrPs) have provided technical support for the brain-computer interface. However, different visual stimulations may affect the ErrPs, and furthermore, affect the error recognition based on ErrPs. Therefore, the study aimed to investigate how people respond to different visual stimulations (static and dynamic) and find the best time window for different stimulation. Nineteen participants were recruited in the ErrPs-based tasks with static and dynamic visual stimulations. Five ErrPs were statistically compared, and the classification accuracies were obtained through linear discriminant analysis (LDA) with nine different time windows. The results showed that the P3, N6, and P8 with correctness were significantly different from those with error in both stimulations, while N1 only existed in static. The differences between dynamic and static errors existed in N1 and P2. The highest accuracy was obtained in the time window related to N1, P3, N6, and P8 for the static condition, and in the time window related to P3, N6, and P8 for the dynamic. In conclusion, the early components of ErrPs may be affected by stimulation modes, and the late components are more sensitive to errors. The error recognition with static stimulation requires information from the entire epoch, while the late windows should be focused more within the dynamic case.
Highlights
When people recognize the occurrence of an error, potentials are evoked in the brain
There was a definite peak for static stimulation, while several small peaks for dynamic stimulations between 200 ms to 300 ms after the stimulus
This study designed the error-related potentials (ErrPs)-based visual tasks with static and dynamic stimulations to explore the effect of different stimulations on ErrPs detection, and to help find the optimal time window with different stimulations for error recognition
Summary
When people recognize the occurrence of an error, potentials are evoked in the brain. They are the error-related potentials (ErrPs) [1]. The ErrPs can reflect the respond of the brain to errors. ErrPs are commonly used for error detection and performance monitoring in brain-computer interface (BCI). Sometimes the BCI decodes the brain signals incorrectly and makes a decision that does not match the user’s intention. In this condition, ErrPs provide a new idea to improve the BCI’s performance [5]. Yousefi et al [7] attempted to design a BCI system based on non-motor imagery (MI) mental tasks and randomly chose a subset of 20%
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
