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首页> 外文期刊>Nature Communications >Motor planning flexibly optimizes performance under uncertainty about task goals
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Motor planning flexibly optimizes performance under uncertainty about task goals

机译:在任务目标不确定的情况下,运动计划可以灵活地优化性能

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摘要

In an environment full of potential goals, how does the brain determine which movement to execute? Existing theories posit that the motor system prepares for all potential goals by generating several motor plans in parallel. One major line of evidence for such theories is that presenting two competing goals often results in a movement intermediate between them. These intermediate movements are thought to reflect an unintentional averaging of the competing plans. However, normative theories suggest instead that intermediate movements might actually be deliberate, generated because they improve task performance over a random guessing strategy. To test this hypothesis, we vary the benefit of making an intermediate movement by changing movement speed. We find that participants generate intermediate movements only at (slower) speeds where they measurably improve performance. Our findings support the normative view that the motor system selects only a single, flexible motor plan, optimized for uncertain goals.
机译:在充满潜在目标的环境中,大脑如何确定要执行的运动?现有理论认为,电机系统通过并行生成多个电机计划来为所有潜​​在目标做好准备。此类理论的主要证据是提出两个相互竞争的目标通常会导致它们之间发生中间运动。这些中间运动被认为反映了竞争计划的无意平均。但是,规范理论反而提出,中间运动实际上可能是有意产生的,因为它们比随机猜测策略提高了任务性能。为了检验该假设,我们通过更改运动速度来改变进行中间运动的好处。我们发现参与者只能以(较慢)的速度产生中间运动,从而可以显着提高性能。我们的发现支持以下标准观点:电动机系统仅选择单个灵活的电动机计划,并针对不确定的目标进行了优化。

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