Department of Engineering, University of Cambridge, Trumpington Street, Cambridge CB2 1PZ, United Kingdom.
Curr Opin Neurobiol. 2012 Dec;22(6):996-1003. doi: 10.1016/j.conb.2012.05.003. Epub 2012 May 29.
Motor behavior may be viewed as a problem of maximizing the utility of movement outcome in the face of sensory, motor and task uncertainty. Viewed in this way, and allowing for the availability of prior knowledge in the form of a probability distribution over possible states of the world, the choice of a movement plan and strategy for motor control becomes an application of statistical decision theory. This point of view has proven successful in recent years in accounting for movement under risk, inferring the loss function used in motor tasks, and explaining motor behavior in a wide variety of circumstances.
运动行为可以被视为一种在面对感觉、运动和任务不确定性的情况下,使运动结果效用最大化的问题。从这个角度来看,并考虑到以可能的世界状态概率分布形式存在的先验知识,运动计划和运动控制策略的选择就成为了统计决策理论的应用。近年来,这种观点在解释风险下的运动、推断运动任务中使用的损失函数以及解释各种情况下的运动行为方面已经被证明是成功的。