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Forecast or Fall: Predictions Importance to Postural Control

机译:预测或下降:预测对姿势控制的重要性

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摘要

To interact successfully with an uncertain environment, organisms must be able to respond to both unanticipated and anticipated events. For unanticipated events, organisms have evolved stereotyped motor behaviors mapped to the statistical regularities of the environment, which can be trigged by specific sensory stimuli. These “reflexive” responses are more or less hardwired to prevent falls and represent, maybe, the best available solution to maintaining posture given limited available time and information. With the gift of foresight, however, motor behaviors can be tuned or prepared in advance, improving the ability of the organism to compensate for, and interact with, the changing environment. Indeed, foresight's improvement of our interactive capacity occurs through several means, such as better action selection, processing, and conduction delay compensation and by providing a prediction with which to compare our actual behaviors to, thereby facilitating error identification and learning. Here we review the various roles foresight (prediction) plays in maintaining our postural equilibrium. We start by describing some of the more recent findings related to the prediction of instability. Specifically, we cover recent advancements in the understanding of anticipatory postural behaviors that are used broadly to stabilize volitional movement and compensate for impending postural disturbances. We also describe anticipatory changes in the state, or set, of the nervous system that may facilitate anticipatory behaviors. From changes in central set, we briefly discuss prediction of postural instability online before moving into a discussion of how predictive mechanisms, such as internal models, permit us to tune, perhaps our highest level predictive behaviors, namely the priming associated with motor affordances. Lastly, we explore methods best suited to expose the contribution of prediction to postural equilibrium control across a variety of contexts.
机译:为了与不确定的环境成功交互,生物必须能够应对意外事件和预期事件。对于意料之外的事件,有机体已经进化出了刻板的运动行为,这些行为被映射到环境的统计规律,可以通过特定的感觉刺激来触发。这些“反射性”响应或多或少地被硬连线以防止跌倒,并且可能代表着在有限的可用时间和信息下保持姿势的最佳可用解决方案。但是,有了先见之明,就可以预先调整或准备运动行为,从而提高生物体补偿不断变化的环境并与之互动的能力。确实,前瞻性提高了我们的互动能力,这是通过多种方式实现的,例如更好的动作选择,处理和传导延迟补偿,以及通过提供预测来与我们的实际行为进行比较,从而促进错误识别和学习。在这里,我们回顾了预见性(预测)在维持姿势平衡中的各种作用。我们首先描述一些与不稳定性预测相关的最新发现。具体而言,我们涵盖了对预期姿势行为的理解的最新进展,这些行为广泛用于稳定自愿运动和补偿即将来临的姿势干扰。我们还描述了可能促进预期行为的神经系统状态或集合中的预期变化。从中心集的变化开始,我们先简要地在线讨论姿势不稳定性的预测,然后再讨论诸如内部模型之类的预测机制如何允许我们调整,也许是我们最高水平的预测行为,即与运动能力相关的启动。最后,我们探索最适合在各种情况下揭示预测对姿势平衡控制的贡献的方法。

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