Nozaki Daichi, Scott Stephen H
Graduate School of Education, The University of Tokyo, Bunkyo-ku, Tokyo, 113-0033, Japan.
Exp Brain Res. 2009 Apr;194(3):451-63. doi: 10.1007/s00221-009-1720-x. Epub 2009 Feb 11.
Multi-limb motor skills, such as swimming and rowing, often involve isolated practice of each limb (unimanual) followed by practice with both limbs together (bimanual). We recently demonstrated that learning a novel load during unimanual reaching is partially, but not completely transferred to the same limb during bimanual reaching (and vice versa), learning can remain hidden and only revealed by the original context, and the ability to learn two conflicting force fields if each was separately associated with unimanual and bimanual reaching (Nozaki et al. 2006). The purpose of the present article is to develop a formal state-space model to conceptualize and interpret these complex experimental results. The model contains three separate compartments for learning, a unimanual-specific, a bimanual-specific, and an overlapping compartment, and the internal state of each compartment is updated context-dependently according to motor errors. The model was able to capture all major aspects of motor learning across these two behaviours and predict further complexities during washout trials when bimanual and unimanual trials are interleaved. We propose that partial, but not complete transfer of motor learning is due to a corresponding partial overlap in neural control processes across these behaviours, and is a general feature of different classes of voluntary motor behaviour, such as postural control, point-to-point reaching, manual tracking and oscillatory movements.
多肢体运动技能,如游泳和划船,通常包括对每个肢体进行单独练习(单手练习),然后进行双肢体一起的练习(双手练习)。我们最近证明,在单手够物过程中学习一种新的负荷,在双手够物时会部分但不完全转移到同一肢体(反之亦然),学习可能会保持隐藏状态,只有在原始情境中才会显现出来,并且如果将两个相互冲突的力场分别与单手和双手够物相关联,就能够学习这两个力场(野崎等人,2006年)。本文的目的是开发一个形式化的状态空间模型,以概念化和解释这些复杂的实验结果。该模型包含三个独立的学习模块,一个是单手特定模块、一个是双手特定模块和一个重叠模块,每个模块的内部状态根据运动误差依情境进行更新。该模型能够捕捉这两种行为中运动学习的所有主要方面,并预测在双手和单手试验交替进行的消退试验期间的进一步复杂性。我们提出,运动学习的部分但不完全转移是由于这些行为在神经控制过程中存在相应的部分重叠,并且是不同类别的自主运动行为的一个普遍特征,如姿势控制、点对点够物、手动跟踪和振荡运动。