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首页> 外文期刊>Journal of Neurophysiology >Individual differences in implicit motor learning: task specificity in sensorimotor adaptation and sequence learning
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Individual differences in implicit motor learning: task specificity in sensorimotor adaptation and sequence learning

机译:隐式电机学习的个体差异:SensorImotor适应和序列学习中的任务特异性

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In standard taxonomies, motor skills are typically treated as representative of implicit or procedural memory. We examined two emblematic tasks of implicit motor learning, sensorimotor adaptation and sequence learning, asking whether individual differences in learning are correlated between these tasks, as well as how individual differences within each task are related to different performance variables. As a prerequisite, it was essential to establish the reliability of learning measures for each task. Participants were tested twice on a visuomotor adaptation task and on a sequence learning task, either the serial reaction time task or the alternating reaction time task. Learning was evident in all tasks at the group level and reliable at the individual level in visuomotor adaptation and the alternating reaction time task but not in the serial reaction time task. Performance variability was predictive of learning in both domains, yet the relationship was in the opposite direction for adaptation and sequence learning. For the former, faster learning was associated with lower variability, consistent with models of sensorimotor adaptation in which learning rates are sensitive to noise. For the latter, greater learning was associated with higher variability and slower reaction times, factors that may facilitate the spread of activation required to form predictive, sequential associations. Interestingly, learning measures of the different tasks were not correlated. Together, these results oppose a shared process for implicit learning in sensorimotor adaptation and sequence learning and provide insight into the factors that account for individual differences in learning within each task domain.
机译:在标准分类学中,运动技能通常被视为隐含或程序记忆的代表。我们检查了两个隐式电机学习的标志性任务,SensorImotor适应和序列学习,询问这些任务之间的学习差异是否相关,以及每个任务内的个体差异与不同的性能变量相关。作为先决条件,必须为每项任务建立学习措施的可靠性。参与者在Visuomotor适应任务和序列学习任务上进行两次测试,串行反应时间任务或交替的反应时间任务。在群体级别的所有任务中,学习是明显的,并且在Visuomotor适应的个体层面上可靠,交替反应时间任务但不在连续反应时间任务中。性能变异性是在两个域中学习的预测,但这种关系符合适应和序列学习的相反方向。对于前者,更快的学习与较低的可变性相关,与感觉电流调整的模型一致,其中学习率对噪声敏感。对于后者,更大的学习与更高的可变性和较慢的反应时间相关,可能促进形成预测性顺序关联所需的激活传播的因素。有趣的是,不同任务的学习措施并未相关。这些结果与SensorImotor适应和序列学习中隐含学习的共享过程,并对每个任务域内学习的各个差异的因素提供了深入研究。

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