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Open AccessJournal ArticleDOI

Sensorimotor synchronization: A review of recent research (2006–2012)

TLDR
It is evident that much new knowledge about SMS has been acquired in the last 7 years, and more recent research in what appears to be a burgeoning field is surveyed.
Abstract
Sensorimotor synchronization (SMS) is the coordination of rhythmic movement with an external rhythm, ranging from finger tapping in time with a metronome to musical ensemble performance. An earlier review (Repp, 2005) covered tapping studies; two additional reviews (Repp, 2006a, b) focused on music performance and on rate limits of SMS, respectively. The present article supplements and extends these earlier reviews by surveying more recent research in what appears to be a burgeoning field. The article comprises four parts, dealing with (1) conventional tapping studies, (2) other forms of moving in synchrony with external rhythms (including dance and nonhuman animals’ synchronization abilities), (3) interpersonal synchronization (including musical ensemble performance), and (4) the neuroscience of SMS. It is evident that much new knowledge about SMS has been acquired in the last 7 years.

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Citations
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Journal ArticleDOI

Sustained visual attention improves visuomotor timing

TL;DR: The finding suggests a role of enhanced sustained visual attention in improving visuomotor timing, by which vision could also be a trustworthy modality for processing temporal information in sensorimotor interactions.
Journal ArticleDOI

Neural tracking of visual periodic motion

TL;DR: In this article , the EEG responses to visual sinusoidal oscillations versus nonlinear Rayleigh oscillations are compared, and the relevance of spatio-temporal information contained at and between their turning points is highlighted.
Journal ArticleDOI

Dynamic Systems Approach in Sensorimotor Synchronization: Adaptation to Tempo Step-Change.

TL;DR: In this paper, a dynamic system model is applied after converting the discrete events to regularly sampled time signals, and three human participants took part in an experiment: to tap a finger on a keyboard, following a metronome which changed tempo in steps.
Journal ArticleDOI

Temporal malleability to auditory feedback perturbation is modulated by rhythmic abilities and auditory acuity

TL;DR: In this article , the authors examined the relationship between the responses to temporally perturbed auditory feedback and rhythmic abilities, and found that both auditory acuity and motor stability in finger tapping affected responses to temporal auditory feedback perturbation.
References
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The cortical organization of speech processing

TL;DR: A dual-stream model of speech processing is outlined that assumes that the ventral stream is largely bilaterally organized — although there are important computational differences between the left- and right-hemisphere systems — and that the dorsal stream is strongly left- Hemisphere dominant.
Book

Auditory Scene Analysis: The Perceptual Organization of Sound

TL;DR: Auditory Scene Analysis as discussed by the authors addresses the problem of hearing complex auditory environments, using a series of creative analogies to describe the process required of the human auditory system as it analyzes mixtures of sounds to recover descriptions of individual sounds.
Book

Statistical Analysis of Circular Data

TL;DR: This book presents a meta-modelling framework for analysing two or more samples of unimodal data from von Mises distributions, and some modern Statistical Techniques for Testing and Estimation used in this study.
Journal ArticleDOI

A theoretical model of phase transitions in human hand movements

TL;DR: A theoretical model, using concepts central to the interdisciplinary field of synergetics and nonlinear oscillator theory, is developed, which reproduces the dramatic change in coordinative pattern observed between the hands.
Journal ArticleDOI

What makes us tick? Functional and neural mechanisms of interval timing

TL;DR: It is proposed that the brain represents time in a distributed manner and tells the time by detecting the coincidental activation of different neural populations.
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