Minimum acceleration with constraints of center of mass: a unified model for arm movements and object manipulation
Minimum acceleration with constraints of center of mass: a unified model for arm movements and object manipulation
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DOI：
10.1152/jn.00224.2012
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发表时间：
2012-09-01
影响因子：
2.5
通讯作者：
Karniel, Amir
中科院分区：
文献类型：
--
作者：
Leib, Raz;Karniel, Amir
带质心约束的最小加速度：手臂运动和物体操纵的统一模型。神经生理学杂志108：1646-1655,2012。2012年6月13日首次出版；doi：10.1152/jn.00224.2012。-与环境的日常互动包括有或没有物体的移动。人们对这两种运动的兴趣与日俱增，推动了用来描述伸展运动的计算模型的建立，后来又用来描述物体操纵的简化版本。先前建议的物体操纵模型依赖于与到达运动的模型相同的优化标准，然而，没有一个模型考虑到这两个任务而不需要重新最小化每个环境的标准。我们建议对这两种情况建立一个统一的模型：带质心约束的最小加速度(MACM)。对于点对点到达运动，该模型预测典型的直线路径和钟形速度剖面作为先前的判据。我们推导了操纵弹簧上质量的情况下的预测轨迹，并表明预测轨迹与先前几个关于弹簧上质量操纵过程中人类手臂运动的独立实验研究的观察结果相匹配。此外，拟议的MACM也很好地解释了以前报告的“不寻常”轨迹。我们在3个实验中对12名受试者的模型预测进行了检验，在这些实验中，我们证明了模型在解释数据方面与先前提出的三个模型在所测试的条件下是相等的或更好的(Wilcoxon符号-等级检验，P<；0.001)。总而言之，MACM模型是目前唯一考虑有或没有外部自由度的伸展运动的模型。此外，它还提供了对运动的神经控制的间歇性性质和主要控制变量的预测。
Leib R, Karniel A. Minimum acceleration with constraints of center of mass: a unified model for arm movements and object manipulation. J Neurophysiol 108: 1646-1655, 2012. First published June 13, 2012; doi:10.1152/jn.00224.2012.-Daily interaction with the environment consists of moving with or without objects. Increasing interest in both types of movements drove the creation of computational models to describe reaching movements and, later, to describe a simplified version of object manipulation. The previously suggested models for object manipulation rely on the same optimization criteria as models for reaching movements, yet there is no single model accounting for both tasks that does not require reminimization of the criterion for each environment. We suggest a unified model for both cases: minimum acceleration with constraints for the center of mass (MACM). For point-to-point reaching movement, the model predicts the typical rectilinear path and bell-shaped speed profile as previous criteria. We have derived the predicted trajectories for the case of manipulating a mass-onspring and show that the predicted trajectories match the observations of a few independent previous experimental studies of human arm movement during a mass-on-spring manipulation. Moreover, the previously reported "unusual" trajectories are also well accounted for by the proposed MACM. We have tested the predictions of the MACM model in 3 experiments with 12 subjects, where we demonstrated that the MACM model is equal or better (Wilcoxon sign-rank test, P < 0.001) in accounting for the data than three other previously proposed models in the conditions tested. Altogether, the MACM model is currently the only model accounting for reaching movements with or without external degrees of freedom. Moreover, it provides predictions about the intermittent nature of the neural control of movements and about the dominant control variable.