谷歌浏览器插件
订阅小程序
在清言上使用

Stochastic aspects of motor behavior and their dependence on auditory feedback in experienced cellists.

FRONTIERS IN HUMAN NEUROSCIENCE(2013)

引用 7|浏览6
暂无评分
摘要
This study aimed to investigate movement accuracy of experienced cellists, the statistical properties of their note sequences during a reciprocal task, and the degree to which these movement characteristics depend on auditory feedback. Nine experienced cellists were asked to shift alternately between two notes using only their index finger to make contact with the stringand finger board. Shifting sequences continued for two minutes at a rate of one note per second. The task was performed under two conditions: with auditory feedback (provided by the bow) or without auditory feedback(i.e., without the use of bow). When the bow was used, subjects had no difficulty in shifting between target notes with precision and stability. Some variability was present, but notes in these sequences were generally uncorrelated. The contact data and correlations in most bowed trials resembled those expected of a renewal process, a process in which successive values are statistically independent and identically distributed. Without the bow, subjects lost their ability to reach the same target positions accurately; contact locations tended to drift and had a random quality, indicating that without the bow subjects were uncertain of the target location in relation to the spatial location of their fingertips. Within these unbowed sequences, finger positions were highly correlated-with in and between note sequences. In some trial swith out the bow, the statistical correlation patterns of the sequence were consistent with the expectations of a discrete Wiener process. Throughout our study, computer simulations of renewal and Wiener processes enable dus to determine the types of correlations to be expected from these theoretical models. The implications of the statistical results interms of subject behavior a rediscussed.
更多
查看译文
关键词
motor control,serial correlation,sensory feedback,stochastic,reciprocal movements,musical performance,martingale
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要