Near Optimal Combination of Sensory and Motor Uncertainty in Time During a Naturalistic Perception-Action Task
Near Optimal Combination of Sensory and Motor Uncertainty in Time During a Naturalistic Perception-Action Task
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DOI：
10.1152/jn.90974.2008
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发表时间：
2009-04-01
影响因子：
2.5
通讯作者：
Wolpert, Daniel M.
中科院分区：
文献类型：
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作者：
Faisal, A. Aldo;Wolpert, Daniel M.
Faisal AA，Wolpert DM.在自然主义知觉-动作任务中，感觉和运动不确定性在时间上的接近最佳组合。神经生理学杂志101：1901-1912，2009年。首次发表于2008年12月24日; doi：10.1152/jn.90974.2008。大多数行为任务都有成功完成的时间限制，例如接住飞行中的球。其中许多任务需要权衡分配给感知和行动的时间，特别是在任何时候都只能进行两者之一时。一般来说，我们感知的时间越长，感知估计的不确定性就越小。然而，较长的感知阶段留给动作的时间较少，这导致不太精确的动作。在这里，我们研究的对象捕捉一个虚拟的球。关键的是，一旦受试者开始移动，球就变得看不见了。我们研究受试者如何权衡感官和运动的不确定性，决定何时开始他们的行动。我们制定了这个任务的概率框架，并表明，受试者的决定，当开始移动是统计上接近最佳的考虑到他们个人的感觉和运动的不确定性。此外，我们准确地预测个别受试者的任务绩效。因此，我们表明，在一个自然的任务中，受试者是定量地意识到如何感觉和运动的变化取决于时间和行动，以尽量减少整体任务的变化。
Faisal AA, Wolpert DM. Near optimal combination of sensory and motor uncertainty in time during a naturalistic perception-action task. J Neurophysiol 101: 1901-1912, 2009. First published December 24, 2008; doi: 10.1152/jn.90974.2008. Most behavioral tasks have time constraints for successful completion, such as catching a ball in flight. Many of these tasks require trading off the time allocated to perception and action, especially when only one of the two is possible at any time. In general, the longer we perceive, the smaller the uncertainty in perceptual estimates. However, a longer perception phase leaves less time for action, which results in less precise movements. Here we examine subjects catching a virtual ball. Critically, as soon as subjects began to move, the ball became invisible. We study how subjects trade-off sensory and movement uncertainty by deciding when to initiate their actions. We formulate this task in a probabilistic framework and show that subjects' decisions when to start moving are statistically near optimal given their individual sensory and motor uncertainties. Moreover, we accurately predict individual subject's task performance. Thus we show that subjects in a natural task are quantitatively aware of how sensory and motor variability depend on time and act so as to minimize overall task variability.