Statistical decision theory and trade-offs in the control of motor response
Statistical decision theory and trade-offs in the control of motor response
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DOI：
10.1163/156856803322467527
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发表时间：
2003-01-01
期刊：
影响因子：
--
通讯作者：
Landy, M
中科院分区：
文献类型：
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作者：
Trommershäuser, J;Maloney, LT;Landy, M
我们提出了一种新的方法，基于统计决策理论的运动反应建模。我们开始的假设，受试者是理想的运动规划者选择的运动轨迹，以尽量减少预期的损失。我们得出的假设运动的环境中，与特定区域的接触进行奖励或处罚的预测。该模型预测的变化，在一个主题的目标点在响应的奖励和惩罚结构的环境中的变化，并在主题的不确定性进行计划的运动。我们在一个实验中测试了其中的一些预测，如果受试者在指定的时间限制内成功触摸电脑屏幕上的目标区域，他们就会得到奖励。在目标附近有一个禁区，如果被触碰，就会受到惩罚。我们改变了惩罚区域和目标之间的距离以及击中惩罚区域的成本。受试者改变他们的平均接触点与计算机屏幕上的处罚和处罚区域的位置相对于目标区域的定性与假设的预测的变化。因此，运动规划考虑到外在成本和受试者自己的运动不确定性。
We present a novel approach to the modeling of motor responses based on statistical decision theory. We begin with the hypothesis that subjects are ideal motion planners who choose movement trajectories to minimize expected loss. We derive predictions of the hypothesis for movement in environments where contact with specified regions carries rewards or penalties. The model predicts shifts in a subject's aiming point in response to changes in the reward and penalty structure of the environment and with changes in the subject's uncertainty in carrying out planned movements. We tested some of these predictions in an experiment where subjects were rewarded if they succeeded in touching a target region on a computer screen within a specified time limit. Near the target was a penalty region which, if touched, resulted in a penalty. We varied distance between the penalty region and the target and the cost of hitting the penalty region. Subjects shift their mean points of contact with the computer screen in response to changes in penalties and location of the penalty region relative to the target region in qualitative agreement with the predictions of the hypothesis. Thus, movement planning takes into account extrinsic costs and the subject's own motor uncertainty.