了解运动适应后的泛化机制。

IF 3.6 1区 心理学 Q1 EDUCATION & EDUCATIONAL RESEARCH npj Science of Learning Pub Date : 2024-07-23 DOI:10.1038/s41539-024-00258-2
Cristina Rossi, Ryan T Roemmich, Amy J Bastian
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引用次数: 0

摘要

我们的神经系统具有非凡的能力,能够调整步态以适应身体或周围环境的变化。然而,我们适应的行走模式往往只能在不同的环境中部分(或完全)泛化。在这里,我们试图了解神经系统是如何将适应的步态模式从一种环境推广到另一种环境的。通过一系列分带跑步机行走实验,我们评估了不同的机制假说,以解释适应步态模式从分带跑步机到地面行走的部分泛化。为了支持信用分配假说,我们的实验揭示了一个核心发现,即适应涉及两个不同的前向模型的重新校准。第一个模型的重新校准适用于地面行走,这表明该模型代表了我们身体的一般运动动态。另一方面,第二个模型的重新校准并不能推广到地面行走,这表明该模型代表了跑步机行走的特定动态。这些研究结果表明,前向模型的重新校准有一部分是在不同情境下通用的,从而导致行走适应的整体部分通用化。
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Understanding mechanisms of generalization following locomotor adaptation.

Our nervous system has the remarkable ability to adapt our gait to accommodate changes in our body or surroundings. However, our adapted walking patterns often generalize only partially (or not at all) between different contexts. Here, we sought to understand how the nervous system generalizes adapted gait patterns from one context to another. Through a series of split-belt treadmill walking experiments, we evaluated different mechanistic hypotheses to explain the partial generalization of adapted gait patterns from split-belt treadmill to overground walking. In support of the credit assignment hypothesis, our experiments revealed the central finding that adaptation involves recalibration of two distinct forward models. Recalibration of the first model generalizes to overground walking, suggesting that the model represents the general movement dynamics of our body. On the other hand, recalibration of the second model does not generalize to overground walking, suggesting the model represents dynamics specific to treadmill walking. These findings reveal that there is a predefined portion of forward model recalibration that generalizes across context, leading to overall partial generalization of walking adaptation.

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来源期刊
CiteScore
5.40
自引率
7.10%
发文量
29
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