Brain‐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.

中文翻译：

---

脑磁图通过时空局部性指数估算对多峰刺激的脑反应

脑机接口（BCI）使无法自由移动自己的身体的人可以操纵机器并有助于他们的交流和生活。最近的脑机接口（BCI）使用多模式刺激来提高系统的比特率，因此，重要的是揭示何时以及何时激活了大脑的一部分来区分目标刺激。尽管脑磁图（MEG）以高时空分辨率测量大脑活动，但仍有一些指标可以估计反应的时空局部性。我们提出了一个指数，用以估计对来自脑磁图（MEG）信号的奇异球范式的多峰刺激的响应的时空局部性。仿真证明了所提出指标的有效性。区分任务是根据目标和非目标刺激的比例以及视觉和听觉位置来进行的。对视觉目标刺激的反应强烈，没有时空差异，因此暗示了视觉优势。