Dakin Christopher J, Bolton David A E
Department of Kinesiology and Health Science, Utah State University, Logan, UT, United States.
Front Neurol. 2018 Oct 30;9:924. doi: 10.3389/fneur.2018.00924. eCollection 2018.
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.
为了在不确定的环境中成功互动,生物体必须能够对意外事件和预期事件做出反应。对于意外事件,生物体已经进化出与环境统计规律相映射的刻板运动行为,这些行为可以由特定的感官刺激触发。这些“反射性”反应或多或少是固定的,以防止跌倒,并且可能是在有限的可用时间和信息下维持姿势的最佳可用解决方案。然而,凭借预见能力,运动行为可以提前调整或准备,从而提高生物体补偿不断变化的环境并与之互动的能力。事实上,预见能力通过多种方式提高我们的互动能力,比如更好的动作选择、处理和传导延迟补偿,以及提供一个预测结果,以便将我们的实际行为与之进行比较,从而促进错误识别和学习。在这里,我们回顾了预见(预测)在维持我们的姿势平衡中所起的各种作用。我们首先描述一些与不稳定预测相关的最新发现。具体来说,我们涵盖了对预期姿势行为理解的最新进展,这些行为被广泛用于稳定自主运动并补偿即将到来的姿势干扰。我们还描述了神经系统状态或设置的预期变化,这些变化可能有助于预期行为。从中枢设置的变化出发,在讨论诸如内部模型等预测机制如何使我们调整或许是我们最高水平的预测行为,即与运动可供性相关的启动之前,我们先简要讨论在线姿势不稳定预测。最后,我们探讨最适合揭示预测在各种情况下对姿势平衡控制贡献的方法。