Motor planning flexibly optimizes performance under uncertainty about task goals

Motor planning flexibly optimizes performance under uncertainty about task goals
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运动规划在任务目标不确定的情况下灵活优化性能

DOI:
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发表时间:
2017
影响因子:
16.6
通讯作者:
A. Haith
A. Haith
中科院分区:
综合性期刊1区
文献类型:
--
作者:
Aaron L. Wong;A. Haith

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在一个充满潜在目标的环境中,大脑如何决定执行哪个动作?现有的理论认为,运动系统通过并行产生多个运动计划来为所有潜在的目标做准备。这些理论的一个主要证据是,提出两个相互竞争的目标往往会导致一个介于两者之间的运动。这些中间运动被认为反映了竞争计划的无意平均。然而,规范理论认为,中间运动实际上可能是故意的,因为它们比随机猜测策略提高了任务性能。为了验证这一假设,我们通过改变移动速度来改变中间移动的好处。我们发现,参与者产生的中间运动,只有在(较慢)的速度,他们可测量地提高性能。我们的研究结果支持规范的观点,运动系统只选择一个单一的,灵活的运动计划,优化不确定的目标。人们认为,当目标不确定时,通过对多个可能的运动计划进行平均来产生行动。在这里,作者表明,在不确定性下的运动规划,而是根据运动的速度灵活变化,以最大限度地提高成功率。
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. It is thought that, when goals are uncertain, actions are generated by averaging multiple possible movement plans. Here the authors show that movement planning under uncertainty instead varies flexibly depending on the speed of the movement in order to maximize success.
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