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Grip force when reaching with target uncertainty provides evidence for motor optimization over averaging

机译:达到目标不确定性时的握力为平均水平的电机优化提供了证据

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摘要

When presented with competing potential reach targets and required to launch a movement before knowing which one will be cued as the target, people initially reach in the average target direction. Although this spatial averaging could arise from executing a weighted average of motor plans for the potential targets, it could also arise from planning a single, optimal movement. To test between these alternatives we used a task in which participants were required to reach to either a single target or towards two potential targets while grasping an object. A robotic device applied a lateral elastic load to the object requiring large grip forces for reaches to targets either side of midline and a minimal grip force for midline movements. As expected, in trials with two targets located either side of midline, participants initially reached straight ahead. Critically, on these trials the initial grip force was minimal, appropriate for the midline movement, and not the average of the large grip forces required for movements to the individual targets. These results indicate that under conditions of target uncertainty, people do not execute an average of planned actions but rather a single movement that optimizes motor costs.
机译:当呈现出具有竞争性的潜在触及目标并需要发起运动之前,人们便会朝着平均目标方向进行触及。尽管这种空间平均可能来自对潜在目标执行的运动计划的加权平均,但也可能来自于计划一个单一的最佳运动。为了在这些替代方案之间进行测试,我们使用了一项任务,要求参与者在抓住一个物体的同时达到一个目标或两个潜在目标。一种自动装置向物体施加了横向弹性载荷,该物体需要较大的抓地力才能到达目标中线的任一侧,并且需要最小的抓地力以进行中线运动。不出所料,在中线两侧有两个目标的试验中,参与者最初直截了当。至关重要的是,在这些试验中,初始抓地力很小,适合中线运动,而不是向单个目标运动所需的大抓地力的平均值。这些结果表明,在目标不确定性的条件下,人们不会执行计划的平均动作,而是执行单个动作来优化电机成本。

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