Stark-Inbar Alit, Raza Meher, Taylor Jordan A, Ivry Richard B
Department of Psychology, University of California, Berkeley, California;
Department of Psychology, University of California, Berkeley, California.
J Neurophysiol. 2017 Jan 1;117(1):412-428. doi: 10.1152/jn.01141.2015. Epub 2016 Nov 2.
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.
NEW & NOTEWORTHY: We investigated individual differences in the ability to implicitly learn motor skills. As a prerequisite, we assessed whether individual differences were reliable across test sessions. We found that two commonly used tasks of implicit learning, visuomotor adaptation and the alternating serial reaction time task, exhibited good test-retest reliability in measures of learning and performance. However, the learning measures did not correlate between the two tasks, arguing against a shared process for implicit motor learning.
在标准分类法中,运动技能通常被视为内隐或程序性记忆的代表。我们研究了内隐运动学习的两个标志性任务,即感觉运动适应和序列学习,探讨这些任务之间学习的个体差异是否相关,以及每个任务中的个体差异如何与不同的表现变量相关。作为前提条件,确定每个任务学习测量的可靠性至关重要。参与者在视觉运动适应任务和序列学习任务(串行反应时任务或交替反应时任务)上接受了两次测试。在所有任务中,群体水平上均有学习迹象,在个体水平上,视觉运动适应和交替反应时任务中的学习是可靠的,但串行反应时任务中并非如此。表现变异性在两个领域中均能预测学习情况,然而适应和序列学习的关系方向相反。对于前者,学习速度越快与变异性越低相关,这与感觉运动适应模型一致,即学习率对噪声敏感。对于后者,更多的学习与更高的变异性和更慢的反应时相关,这些因素可能有助于形成预测性序列关联所需的激活扩散。有趣的是,不同任务的学习测量不相关。总之,这些结果反对感觉运动适应和序列学习中内隐学习的共享过程,并为解释每个任务领域内学习个体差异的因素提供了见解。
我们研究了内隐学习运动技能能力的个体差异。作为前提条件,我们评估了个体差异在不同测试阶段是否可靠。我们发现,内隐学习的两个常用任务,视觉运动适应和交替串行反应时任务,在学习和表现测量中表现出良好的重测信度。然而,这两个任务的学习测量不相关,这反对了内隐运动学习的共享过程。