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在运动学习过程中缩小协调解决方案空间会使个体的搜索策略模式标准化,但会使学习速度多样化。

Narrowing the coordination solution space during motor learning standardizes individual patterns of search strategy but diversifies learning rates.

机构信息

Physical Education and Sports Science, National Institute of Education, Nanyang Technological University, 1 Nanyang Walk, Singapore, 637616, Singapore.

Physical Education and Sports Science, CETAPS, UNIROUEN, Normandie University, Mont Saint Aignan Cedex, France.

出版信息

Sci Rep. 2023 Feb 3;13(1):2009. doi: 10.1038/s41598-023-29238-z.

Abstract

Constraints on practice can benefit motor learning by guiding the learner towards efficient coordination patterns, but can also narrow the potential solution space of coordination and control. The aim of this paper was to investigate whether narrowing the solution space through more restrictive task constraints limits the expression of potential exploratory behaviours during the learning process, identified using Drifting Markov Models. In a breaststroke swimming task, the change in interlimb coordination of 7 learners practicing for 16 lessons over 2 months was analysed to quantify motor exploration and identify periods of metastable regimes of coordination. Results showed that the observed exploratory dynamics were highly individual both in terms of range of exploration and in the patterns of search. The more restrictive task constraints did not impair the amount of exploration but rather channelled the exploration around a few selected patterns. In addition, restraining the nature of the exploratory process increased the inter-individual differences of the learning rate. Although manipulating the task constraints during learning can help learners to escape from the behavioural consequences of their intrinsic dynamics, maintaining a broad solution space for a diversity of coordination patterns to emerge was key to fostering effective exploration of individual coordination solutions.

摘要

练习的约束条件可以通过引导学习者采用更有效的协调模式来促进运动学习,但也会限制协调和控制的潜在解决方案空间。本文旨在研究通过更严格的任务约束条件缩小解决方案空间是否会限制在学习过程中潜在探索行为的表达,这些行为是通过漂移马尔可夫模型识别的。在蛙泳任务中,分析了 7 名学习者在 2 个月内练习 16 节课时的肢体间协调变化,以量化运动探索并确定协调的亚稳态阶段。结果表明,观察到的探索动态在探索范围和搜索模式方面都具有高度的个体差异。更严格的任务约束条件并没有减少探索的数量,而是将探索引导到几个选定的模式上。此外,限制探索过程的性质会增加学习率的个体间差异。尽管在学习过程中操纵任务约束条件可以帮助学习者摆脱其内在动力学的行为后果,但保持广泛的协调模式解决方案空间对于促进个体协调解决方案的有效探索至关重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ab36/9898268/f272ac6d9ae7/41598_2023_29238_Fig1_HTML.jpg

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