针对替代行动选项的竞争性感觉运动控制策略的并行规范。
Parallel specification of competing sensorimotor control policies for alternative action options.
作者信息
Gallivan Jason P, Logan Lindsey, Wolpert Daniel M, Flanagan J Randall
机构信息
Department of Psychology, Queen's University, Kingston, Ontario, Canada.
Department of Biomedical and Molecular Sciences, Queen's University, Kingston, Ontario, Canada.
出版信息
Nat Neurosci. 2016 Feb;19(2):320-6. doi: 10.1038/nn.4214. Epub 2016 Jan 11.
Recent theory proposes that the brain, when confronted with several action possibilities, prepares multiple competing movements before deciding among them. Psychophysical supporting evidence for this idea comes from the observation that when reaching towards multiple potential targets, the initial movement is directed towards the average location of the targets, consistent with multiple prepared reaches being executed simultaneously. However, reach planning involves far more than specifying movement direction; it requires the specification of a sensorimotor control policy that sets feedback gains shaping how the motor system responds to errors induced by noise or external perturbations. Here we found that, when a subject is reaching towards multiple potential targets, the feedback gain corresponds to an average of the gains specified when reaching to each target presented alone. Our findings provide evidence that the brain, when presented with multiple action options, computes multiple competing sensorimotor control policies in parallel before implementing one of them.
最近的理论提出，大脑在面对多种行动可能性时，会在做出决定之前准备多个相互竞争的动作。这一观点的心理物理学支持证据来自于这样的观察：当朝着多个潜在目标伸手时，初始动作会指向目标的平均位置，这与多个准备好的伸手动作同时执行是一致的。然而，伸手动作规划所涉及的远不止确定运动方向；它需要确定一种感觉运动控制策略，该策略设定反馈增益，从而塑造运动系统对由噪声或外部干扰引起的误差的响应方式。在这里，我们发现，当一个受试者朝着多个潜在目标伸手时，反馈增益对应于单独呈现每个目标时所确定增益的平均值。我们的研究结果提供了证据，表明大脑在面对多个行动选项时，会在实施其中一个选项之前并行计算多个相互竞争的感觉运动控制策略。
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