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Adaptation Paths to Novel Motor Tasks Are Shaped by Prior Structure Learning

机译:先前的结构学习塑造了适应新型运动任务的途径

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摘要

After extensive practice with motor tasks sharing structural similarities (e.g., different dancing movements, or different sword techniques), new tasks of the same type can be learned faster. According to the recent “structure learning” hypothesis (), such rapid generalization of related motor skills relies on learning the dynamic and kinematic relationships shared by this set of skills. As a consequence, motor adaptation becomes constrained, effectively leading to a dimensionality reduction of the learning problem; at the same time, adaptation to tasks lying outside the structure becomes biased toward the structure. We tested these predictions by investigating how previously learned structures influence subsequent motor adaptation. Human subjects were making reaching movements in 3D virtual reality, experiencing perturbations either in the vertical or in the horizontal plane. Perturbations were either visuomotor rotations of varying angle or velocity-dependent forces of varying strength. We found that, after extensive training with both kinematic or dynamic perturbations, adaptation to unpracticed, diagonal, perturbations happened along the previously learned structure (vertical or horizontal), and resulting adaptation trajectories were curved. This effect is robust, can be observed on the single-subject level, and occurs during adaptation both within and across trials. Additionally, we demonstrate that structure learning changes involuntary visuomotor reflexes and therefore is not exclusively a high-level cognitive phenomenon.
机译:在进行了共享结构相似性(例如,不同的舞蹈动作或不同的剑术)的运动任务的广泛练习之后,可以更快地学习相同类型的新任务。根据最近的“结构学习”假设(),相关运动技能的这种快速概括依赖于学习这套技能共享的动态和运动学关系。结果,运动适应受到限制,有效地导致了学习问题的降维。同时,对结构外部任务的适应也偏向结构。我们通过研究先前学习的结构如何影响随后的运动适应性来测试这些预测。人类受试者正在3D虚拟现实中达到移动,在垂直或水平方向上都经历了扰动。摄动是角度变化的视觉运动或强度变化的速度相关力。我们发现,在对运动学或动态扰动进行大量培训之后,沿先前学习的结构(垂直或水平)发生了对未练习的,对角线的扰动的适应,并且所产生的适应轨迹是弯曲的。这种作用是可靠的,可以在单受试者水平上观察到,并且在适应试验期间和试验之间都会发生。此外,我们证明了结构学习会改变非自愿的视觉运动反射,因此并不仅仅属于高级认知现象。

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