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Revealing non-analytic kinematic shifts in smooth goal-directed behaviour

机译:在平稳的目标导向行为中揭示非解析运动学变化

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How do biological agents plan and organise a smooth accurate path to shift from one smooth mode of behaviour to another as part of graceful movement that is both plastic and controlled? This paper addresses the question in conducting a novel shape analysis of approach and adjustment phases in rapid voluntary target aiming and 2-D reaching hand actions. A number of mode changing experiments are reported that investigate these actions under a range of goals and conditions. After a typically roughly aimed approach, regular projective adjustment is observed that has height and velocity kinematic profiles that are scaled copies of one another. This empirical property is encapsulated as a novel self-similar shift function. The mathematics shows that the biological shifts consist of continual deviation from their full Taylor series everywhere throughout their interval, which is a deep form of plasticity not described before. The experimental results find the same approach and adjustment strategy to occur with behavioural trajectories over the full and varied range of tested goals and conditions. The trajectory shapes have a large degree of predictability through using the shift function to handle extensive variation in the trajectories' adjustment across individual behaviours and subjects. We provide connections between the behavioural features and results and various neural studies to show how the methodology may be exploited. The conclusion is that a roughly aimed approach followed by a specific highly plastic shift adjustment can provide a regular basis for fast and accurate goal-directed motion in a simple and generalisable way.
机译:生物制剂如何计划和组织一条平滑的准确路径,以从一种平滑的行为方式转变为另一种可塑性和受控的优美运动的方式?本文解决了在快速自愿目标瞄准和二维伸手动作中对进场和调整阶段进行新颖形状分析的问题。据报道,许多模式改变实验研究了一系列目标和条件下的这些行为。在通常以大致目标为目标的方法之后,可以观察到定期的投射调整,该调整具有高度和速度运动学特征,这些特征相互之间是按比例缩放的副本。这种经验特性被封装为一种新颖的自相似位移函数。数学表明,生物学位移包括在整个区间内各处都偏离其完整泰勒级数的连续偏差,这是之前未描述的可塑性的一种深层形式。实验结果发现,在整个测试目标和条件的变化范围内,行为轨迹会发生相同的方法和调整策略。通过使用移位函数来处理各个行为和主体在轨迹调整中的广泛变化,轨迹形状具有很大的可预测性。我们提供了行为特征和结果之间的联系以及各种神经研究,以显示如何利用该方法。结论是,粗略地针对性的方法,然后进行特定的高度可塑性的换挡调整,可以为以简单且可概括的方式进行快速,准确的目标定向运动提供规律的基础。

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