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首页> 外文期刊>Journal of Neurophysiology >Motor learning of novel dynamics is not represented in a single global coordinate system: evaluation of mixed coordinate representations and local learning
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Motor learning of novel dynamics is not represented in a single global coordinate system: evaluation of mixed coordinate representations and local learning

机译：在单个全局坐标系中不代表新动力的运动学习：混合坐标表示和局部学习的评估

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Successful motor performance requires the ability to adapt motor commands to task dynamics. A central question in movement neurosci-ence is how these dynamics are represented. Although it is widely assumed that dynamics (e.g., force fields) are represented in intrinsic, joint-based coordinates (Shadmehr R, Mussa-Ivaldi FA. J Neurosci 14: 3208-3224, 1994), recent evidence has questioned this proposal. Here we reexamine the representation of dynamics in two experiments. By testing generalization following changes in shoulder, elbow, or wrist configurations, the first experiment tested for extrinsic, intrinsic, or object-centered representations. No single coordinate frame accounted for the pattern of generalization. Rather, generalization patterns were better accounted for by a mixture of representations or by models that assumed local learning and graded, decaying generalization. A second experiment, in which we replicated the design of an influential study that had suggested encoding in intrinsic coordinates (Shadmehr and Mussa-Ivaldi 1994), yielded similar results.
机译：成功的电机性能要求能够使电机命令适应任务动态。运动神经科学中的一个核心问题是这些动力学如何表现。尽管普遍认为动力学（例如力场）以基于关节的固有坐标表示（Shadmehr R，Mussa-Ivaldi FA.J Neurosci 14：3208-3224，1994），但是最近的证据对这一提议提出了质疑。在这里，我们重新检查两个实验中动力学的表示。通过测试跟随肩膀，肘部或腕部构型变化的概括，第一个实验测试了外部，内在或以对象为中心的表示形式。没有单一的坐标框架可以解释泛化模式。相反，可以通过混合表示形式或通过假定本地学习并进行分级，衰减的泛化的模型来更好地解释泛化模式。在第二个实验中，我们重复了一项有影响的研究的设计，该研究建议在固有坐标中进行编码（Shadmehr和Mussa-Ivaldi 1994），产生了相似的结果。

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