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首页> 外文期刊>Experimental Brain Research >A margin for error in grasping: hand pre-shaping takes into account task-dependent changes in the probability of errors
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A margin for error in grasping: hand pre-shaping takes into account task-dependent changes in the probability of errors

机译:掌握误差的边距:手前成形考虑了错误概率的变化

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Ideal grasping movements should maintain an appropriate probability of success, while controlling movement-related costs, in the presence of varying visual (and motor) uncertainty. It is often assumed that the probability of errors is managed by adjusting a margin for error in hand opening (e.g., opening the hand wider with increased visual uncertainty). This idea is intuitive, but non-trivial. It implies not only that the brain can estimate the amount of uncertainty, but also that it can compute how different possible alterations to the movement will affect the probability of errors-which we term the 'probability landscape'. Previous work suggests the amount of uncertainty is factored into grasping movements. Our aim was to determine whether grasping movements are also sensitive to the probability landscape. Subjects completed three different grasping tasks, with naturally different probability landscapes, such that appropriate margin-for-error responses to increased uncertainty were qualitatively different (opening the hand wider, the same amount, or less wide). We increased visual uncertainty by blurring vision, and by covering one eye. Movements were performed without visual feedback to isolate uncertainty in the brain's initial estimate of object properties. Changes to hand opening in response to increased visual uncertainty closely resembled those predicted by the margin-for-error account, suggesting that grasping is sensitive to the probability landscape associated with different tasks. Our findings therefore support the intuitive idea that grasping movements employ a true margin-for-error mechanism, which exerts active control over the probability of errors across changing circumstances.
机译:理想的抓握运动应在不同的视觉(和电机)不确定性的情况下,保持成功的适当概率,同时控制与运动相关的成本。通常假设通过调整手动打开的错误的余量来管理错误的概率(例如,用增加的视觉不确定性打开手宽)。这个想法是直观的,但不琐碎。它不仅意味着大脑可以估计不确定性的量,而且还可以计算出对运动的不同可能改变会影响错误的可能性 - 我们术语“概率景观”术语。以前的工作表明,不确定性的数额是对掌握运动的影响。我们的目标是确定抓握运动是否对概率景观也敏感。受试者完成了三个不同的抓握任务,具有自然不同的概率景观,使得适当的误差响应增加不确定性的响应是定性不同的(打开手宽,相同的金额或更少宽)。我们通过模糊的视觉增加视觉不确定性,并通过覆盖一只眼睛。在没有视觉反馈的情况下进行运动,以隔离大脑初始估计对象属性的不确定性。响应于增加的视觉不确定性的手动打开的变化非常类似于由错误账户预测的那些,这表明抓握对与不同任务相关的概率景观敏感。因此,我们的调查结果支持直观的想法,即掌握运动采用真正的误差机制,这在不断变化的情况下对错误的概率发挥了主动控制。

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