Action plan co-optimization reveals the parallel encoding of competing reach movements.
Action plan co-optimization reveals the parallel encoding of competing reach movements.
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DOI：
10.1038/ncomms8428
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发表时间：
2015-07-01
影响因子：
16.6
通讯作者：
Flanagan JR
中科院分区：
文献类型：
--
作者：
Gallivan JP;Barton KS;Chapman CS;Wolpert DM;Flanagan JR
一些有影响力的认知理论认为，在提供不止一个可能的行动目标的情况下，我们在选择一个之前准备了多个相互竞争的动作。在这里，我们为这一具有挑衅性但在很大程度上未经检验的想法提供直接证据，并演示为什么准备多个动作在计算上是有利的。使用一个到达任务，其中移动是在两个潜在目标中的一个被提示之后开始的，我们证明了为被提示的目标生成的移动借用了另一个竞争目标所需的移动的分量。这种互动只有在事先充分指定了多个潜在的行动，并且我们证明它减少了启动给定行动计划所需的时间的情况下才会发生。我们的发现表明，这种运动计划的共同优化是高度自动的，并且主要发生在意识之外。一些著名的认知理论认为，在提供不止一个行动策略的情况下，大脑在选择一个之前会准备多个相互竞争的动作。在这里，作者为这一挑衅性但基本上未经检验的概念提供了直接的实验证据。
Several influential cognitive theories propose that in situations affording more than one possible target of action, we prepare multiple competing movements before selecting one. Here we provide direct evidence for this provocative but largely untested idea and demonstrate why preparing multiple movements is computationally advantageous. Using a reaching task in which movements are initiated after one of two potential targets is cued, we show that the movement generated for the cued target borrows components of the movement that would have been required for the other, competing target. This interaction can only arise if multiple potential movements are fully specified in advance and we demonstrate that it reduces the time required to launch a given action plan. Our findings suggest that this co-optimization of motor plans is highly automatic and largely occurs outside conscious awareness. Several prominent cognitive theories propose that in situations affording more than one action strategy, the brain prepares multiple competing movements prior to selecting one. Here the authors provide direct experimental evidence for this provocative but largely untested notion.