Motor planning under temporal uncertainty is suboptimal when the gain function is asymmetric.
Motor planning under temporal uncertainty is suboptimal when the gain function is asymmetric.
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DOI：
10.3389/fncom.2015.00088
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发表时间：
2015
影响因子：
3.2
通讯作者：
Kudo K
中科院分区：
文献类型：
--
作者：
Ota K;Shinya M;Kudo K
为了实现最佳的行动计划，与行动相关的增益/损失和运动输出的可变性都应该被考虑。许多研究对人类行动规划的最优性提出了相互矛盾的主张，但由于它们使用不同的运动和增益/损失函数而无法调和。分歧可能是由于实验设计的差异以及参与者运动努力的能量成本的差异。我们使用重合计时任务来测试参与者在增益函数的四种配置下的计时策略的最优性，该任务需要以恒定的能量成本进行决策。我们将参与者策略与根据贝叶斯模型计算出的最佳时机策略进行了比较，该策略可最大化预期收益。我们发现在两种以不对称为特征的增益函数配置下的次优时序策略，其中较高的增益与较高的零增益风险相关。参与者通过对零增益开始/抵消时间的响应接近最佳响应来表现出风险寻求策略。同时，在两种具有对称性的增益函数配置下，模型与实际性能具有良好的一致性。我们的研究结果表明，人类做出必须反映自身电机输出不确定性的决策的能力存在限制，具体取决于增益函数的配置。
For optimal action planning, the gain/loss associated with actions and the variability in motor output should both be considered. A number of studies make conflicting claims about the optimality of human action planning but cannot be reconciled due to their use of different movements and gain/loss functions. The disagreement is possibly because of differences in the experimental design and differences in the energetic cost of participant motor effort. We used a coincident timing task, which requires decision making with constant energetic cost, to test the optimality of participant's timing strategies under four configurations of the gain function. We compared participant strategies to an optimal timing strategy calculated from a Bayesian model that maximizes the expected gain. We found suboptimal timing strategies under two configurations of the gain function characterized by asymmetry, in which higher gain is associated with higher risk of zero gain. Participants showed a risk-seeking strategy by responding closer than optimal to the time of onset/offset of zero gain. Meanwhile, there was good agreement of the model with actual performance under two configurations of the gain function characterized by symmetry. Our findings show that human ability to make decisions that must reflect uncertainty in one's own motor output has limits that depend on the configuration of the gain function.