Abstract
AbstractBrain‐computer interface (BCI) enables people who cannot move their own body freely to manipulate machines and helps their communication and life. Recent brain‐computer interface (BCI) uses multimodal stimuli to increase bit rate of the system, so it is important to reveal when and which part of the brain part is activated to discriminate target stimuli. Although magnetoencephalography (MEG) measures brain activity with high spatial and temporal resolution, there are a few indexes to estimate spatiotemporal locality of response. We propose an index to estimate spatiotemporal locality of response to multimodal stimuli of an oddball paradigm from magnetoencephalography (MEG) signals. The validity of proposed index is demonstrated by simulation. Discrimination task was conducted with different ratio of target/nontarget stimuli with visual and auditory location. Response to visual target stimuli was strong and made no spatiotemporal difference, so visual dominance was implied.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Similar Papers
Disclaimer: 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.