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The neural dynamics of goal-directed arm movements: A developmental perspective

机译:目标定向手臂运动的神经动力学:发展视角

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We present a neuro-dynamic architecture for the generation of movement of the hand toward a visual target that integrates movement planning based on visual input, movement initiation and termination, the generation of the time courses of virtual trajectories of the hand in Cartesian space, and their transformation into virtual joint trajectories and muscle forces. The architecture captures properties of adult goal-directed arm movements such as bell-shaped velocity profiles and on-line updating of a movement when the target is shifted. The integrated and autonomous nature of the architecture makes it possible to study how motor performance is affected when one of the three core processes, planning, timing, and transformation from end-effector to joint space, are decalibrated to reflect earlier stages of development. We find signatures of the development of reaching such as multiple movement units and curved movement paths in the “young” model.
机译:我们提出了一种神经动力架构,用于生成手向视觉目标的动作,该动作集成了基于视觉输入,动作启动和终止,在笛卡尔空间中手的虚拟轨迹的时程的生成的动作计划,以及它们转变成虚拟的关节轨迹和肌肉力量。该体系结构捕获了成人目标定向手臂运动的属性,例如铃形速度曲线,以及在目标移动时对运动进行在线更新。该架构的集成性和自治性使得研究以下三个核心过程之一(计划,时序和从末端执行器到联合空间的转换)来反映电动机的早期开发阶段时,如何研究电动机性能如何受到影响。在“年轻”模型中,我们发现了到达运动的发展特征,例如多个运动单位和弯曲的运动路径。

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