Department of Psychology, Sun Yat-Sen University, China; Laboratory for Behavioral and Regional Finance, Guangdong University of Finance, Guangzhou, China.
Department of Psychology, Sun Yat-Sen University, China.
Hum Mov Sci. 2019 Oct;67:102500. doi: 10.1016/j.humov.2019.102500. Epub 2019 Jul 18.
Sensorimotor timing behaviors typically exhibit an elusive phenomenon known as the negative asynchrony. When synchronizing movements (e.g. finger taps) with an external sequence (e.g. a metronome), people's taps precede event onsets by a few tens of milliseconds. We recently reported that asynchrony is less negative in participants with lower asynchrony variability. This indicates an association between negative asynchrony and variability of timing. Here, in 24 metronome-synchronization data sets, we modeled asynchrony series using a sensorimotor synchronization model that accounts for serial dependence of asynchronies. The results showed that the modeling well captured the negative correlation between the mean and SD of asynchrony. The finding suggests that serial dependence in asynchronies is an essential mechanism of timing variability underlying the association between the mean and SD of asynchrony.
运动感觉计时行为通常表现出一种难以捉摸的现象，称为负异步。当人们的动作（如手指敲击）与外部序列（如节拍器）同步时，他们的敲击会提前几毫秒发生。我们最近报告说，在异步变化较小的参与者中，异步性不那么负向。这表明负异步和计时变化之间存在关联。在这里，在 24 个节拍器同步数据集中，我们使用一种运动感觉同步模型来对异步序列进行建模，该模型考虑了异步性的序列依赖性。结果表明，该模型很好地捕捉到了异步性的均值和标准差之间的负相关关系。这一发现表明，异步性的序列依赖性是异步性均值和标准差之间关联的基础，是计时变化的一个重要机制。
