Objective . The hand—a complex effector comprising dozens of degrees of freedom of movement—endows us with the ability to flexibly, precisely, and effortlessly interact with objects. The neural signals associated with dexterous hand movements in primary motor cortex (M1) and somatosensory cortex (SC) have received comparatively less attention than have those associated with proximal upper limb control. Approach . To fill this gap, we trained two monkeys to grasp objects varying in size and shape while tracking their hand postures and recording single-unit activity from M1 and SC. We then decoded their hand kinematics across tens of joints from population activity in these areas. Main results . We found that we could accurately decode kinematics with a small number of neural signals and that different cortical fields carry different amounts of information about hand kinematics. In particular, neural signals in rostral M1 led to better performance than did signa...

中文翻译：

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从抓握过程中感觉运动皮层的群体反应解码手部运动学。

客观的 。手——一个包含数十个运动自由度的复杂效应器——赋予我们灵活、精确、毫不费力地与物体互动的能力。与初级运动皮层 (M1) 和体感皮层 (SC) 中的灵巧手部运动相关的神经信号比与近端上肢控制相关的神经信号受到的关注相对较少。方法 。为了填补这一空白，我们训练了两只猴子来抓取大小和形状不同的物体，同时跟踪它们的手部姿势并记录 M1 和 SC 的单个单元活动。然后，我们从这些区域的人口活动中解码了他们跨越数十个关节的手部运动学。主要成果。我们发现我们可以使用少量神经信号准确解码运动学，并且不同的皮层区域携带不同数量的手部运动学信息。特别是，头侧 M1 中的神经信号导致比信号更好的性能……