A point-process model of tapping along to difficult rhythms

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
David Bulger , Andrew J. Milne , Roger T. Dean
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引用次数: 2

Abstract

Experiments where participants synchronise their taps to rhythmic cues are often used to study human perception and performance of rhythms. This experimental study is novel in two regards: The cyclic rhythms (non-isochronous patterns of cues) presented to participants were more challenging than usual (including many from unfamiliar time signatures), and we have modelled participants’ performance via a conditional point process. Point processes are well suited to describing partly random sequences of events, but have rarely been used previously to model tapping experiments, the only other study we know being Cannon (2021). Our model uses continuous functional parameters to describe participants’ responses to auditory stimuli with much finer temporal resolution than in previous studies. Taking account of both the clock and the dynamic attention theories of sensorimotor synchronisation, we assessed the time course of the propensity to tap within each cycle at a resolution of less than 13ms, identifying the influence of cues on the tapping propensity and the progress of learning their rhythmic patterns. We also sought to determine the trajectory of the putative refractory period (feedback inhibition of tapping) after each tap, and assessed the distribution of tap-cue asynchronies in a more finely resolved manner than usual. Our models also indicated complex kinetics of the feedback over about 100ms.

随着困难的节奏敲击的点过程模式
在实验中,参与者让他们的节拍与节奏线索同步,这通常被用来研究人类对节奏的感知和表现。本实验研究在两个方面是新颖的:呈现给参与者的循环节奏(非等时线索模式)比平时更具挑战性(包括许多来自不熟悉的时间特征),我们通过条件点过程模拟了参与者的表现。点过程非常适合描述部分随机事件序列,但以前很少用于模拟敲击实验,我们所知道的唯一另一项研究是Cannon(2021)。我们的模型使用连续的功能参数来描述参与者对听觉刺激的反应,其时间分辨率比以前的研究要精细得多。考虑到时钟和感觉运动同步的动态注意理论,我们以低于13ms的分辨率评估了每个周期内敲击倾向的时间过程,确定了线索对敲击倾向的影响以及学习其节奏模式的进展。我们还试图确定每次敲击后假定的不应期(敲击的反馈抑制)的轨迹,并以比通常更精细的方式评估敲击提示异步的分布。我们的模型还显示了在大约100ms内反馈的复杂动力学。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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