Wandelt et al. (2022) show that different grasps can be decoded from neural activity in the human supramarginal gyrus (SMG), ventral premotor cortex, and somatosensory cortex during motor imagery and speech, highlighting the attractiveness of higher-level areas such as the SMG for brain-machine interface applications.

中文翻译：

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掌握 BMI：解码理解和语音信号

万德尔特等人。(2022) 表明，在运动意象和言语过程中，可以从人类边缘上回 (SMG)、腹侧运动前皮层和体感皮层的神经活动中解码不同的抓握，突出了诸如 SMG 等高级区域对大脑的吸引力。机器接口应用。