创建一个基于记忆的自动化系统,通过运动学习的认知,神经生理和行为适应来提高技能表现:一个新的假设
Narges Abdoli1, Alireza Saberi Kakhki1
1Department of Motor Behavior, Faculty of Sport Sciences, Ferdowsi University of Mashhad (FUM), Mashhad, Iran.
Psychology of sport and exercise
|July 4, 2025
概括
经验丰富的高尔夫球手表现出更复杂的认知结构和增强的神经生理学,导致优越的运动性能. 这表明基于记忆的自动化运动控制系统是熟练行为的基础.
科学领域:
- 神经科学是一个神经科学.
- 认知心理学 认知心理学
- 运动学习是指运动学习.
背景情况:
- 熟练和自动化的行为是人类功能的基础,但它们的潜在机制尚未完全理解.
- 了解这些机制对于优化各种领域的运动学习和性能至关重要.
研究的目的:
- 研究不同经验水平的高尔夫球运动员的认知结构,神经生理活动 (α功率和连接性) 和运动表现.
- 阐明熟练和自动化运动行为的神经和认知基础.
主要方法:
- 使用SDA-M软件分析认知结构.
- 使用脑电图 (EEG) 来测量α功率和神经连接.
- 用准确性 (平均辐射误差) 和一致性 (双变量误差) 度量来评估电机性能.
主要成果:
- 经验丰富的高尔夫球手与经验较少的高尔夫球手相比,表现出明显更复杂的认知结构.
- 在经验丰富的高尔夫球运动员中观察到更高的阿尔法功率和连接性,遍及前部,中部和顶部区域 (p < .001).
- 经验丰富的高尔夫球手犯下的运动性能错误明显较少 (p < .001).
结论:
- 运动学习期间的认知,神经生理和行为适应有助于自动化运动控制系统.
- 这项研究为理解熟练和自动化行为发展提供了一个综合框架.
- 这些发现突出了认知复杂性,神经效率和专业知识中的运动执行之间的相互作用.
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