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神经调谐函数是泛化和干扰的基础。

Neural Tuning Functions Underlie Both Generalization and Interference.

作者信息

Howard Ian S, Franklin David W

机构信息

Centre for Robotics and Neural Systems, School of Computing, Electronics and Mathematics, University of Plymouth, Plymouth, United Kingdom.

Computational and Biological Learning Laboratory, Department of Engineering, University of Cambridge, Cambridge, United Kingdom.

出版信息

PLoS One. 2015 Jun 25;10(6):e0131268. doi: 10.1371/journal.pone.0131268. eCollection 2015.

Abstract

In sports, the role of backswing is considered critical for generating a good shot, even though it plays no direct role in hitting the ball. We recently demonstrated the scientific basis of this phenomenon by showing that immediate past movement affects the learning and recall of motor memories. This effect occurred regardless of whether the past contextual movement was performed actively, passively, or shown visually. In force field studies, it has been shown that motor memories generalize locally and that the level of compensation decays as a function of movement angle away from the trained movement. Here we examine if the contextual effect of past movement exhibits similar patterns of generalization and whether it can explain behavior seen in interference studies. Using a single force-field learning task, the directional tuning curves of both the prior contextual movement and the subsequent force field adaptive movements were measured. The adaptation movement direction showed strong directional tuning, decaying to zero by 90° relative to the training direction. The contextual movement direction exhibited a similar directional tuning, although the effect was always above 60%. We then investigated the directional tuning of the passive contextual movement using interference tasks, where the contextual movements that uniquely specified the force field direction were separated by ±15° or ±45°. Both groups showed a pronounced tuning effect, which could be well explained by the directional tuning functions for single force fields. Our results show that contextual effect of past movement influences predictive force compensation, even when adaptation does not require contextual information. However, when such past movement contextual information is crucial to the task, such as in an interference study, it plays a strong role in motor memory learning and recall. This work demonstrates that similar tuning responses underlie both generalization of movement direction during dynamic learning and contextual movements in both single force field and interference tasks.

摘要

在体育运动中,尽管后摆动作在击球时不直接发挥作用,但它对于打出好球的作用被认为至关重要。我们最近通过表明近期的过往动作会影响运动记忆的学习和回忆,证明了这一现象的科学依据。无论过往的情境动作是主动执行、被动执行还是通过视觉展示,这种效应都会出现。在力场研究中,已经表明运动记忆在局部范围内具有泛化性,并且补偿水平会随着与训练动作的运动角度的变化而衰减。在此,我们研究过往动作的情境效应是否表现出类似的泛化模式,以及它是否能够解释在干扰研究中观察到的行为。使用单一力场学习任务,测量了先前情境动作和随后力场适应性动作的方向调谐曲线。适应性动作方向显示出强烈的方向调谐,相对于训练方向在90°时衰减至零。情境动作方向表现出类似的方向调谐,尽管效应始终高于60%。然后,我们使用干扰任务研究了被动情境动作的方向调谐,其中唯一指定力场方向的情境动作以±15°或±45°的角度间隔分开。两组都显示出明显的调谐效应,这可以通过单力场的方向调谐函数得到很好的解释。我们的结果表明,即使适应性不需要情境信息,过往动作的情境效应也会影响预测性力补偿。然而,当这种过往动作情境信息对任务至关重要时,例如在干扰研究中,它在运动记忆学习和回忆中起着重要作用。这项工作表明,动态学习过程中运动方向的泛化以及单力场和干扰任务中的情境动作都具有相似的调谐反应。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/86c6/4482423/aa4d7fa96475/pone.0131268.g001.jpg

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