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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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Socio-emotional and motor engagement during musical activities in older adults with major neurocognitive impairment.

TL;DR: In this article, nonverbal behaviors of 97 patients with or without major cognitive impairment (CI) were assessed when listening to music or a metronome in front of a musician who was present physically (live) or virtually (video).
Journal ArticleDOI

Knowing when to respond: the role of visual information in conversational turn exchanges.

TL;DR: It is suggested that visual information functions as an early signal indicating an upcoming turn exchange while auditory information is used to precisely time a response to the turn end.
Journal ArticleDOI

Templates and temporality: an investigation of rhythmic motor production in a young man with Down Syndrome and Hearing Impairment

TL;DR: In this article, the authors examined the rhythmic ability of one young adult with DS and moderate-severe hearing impairment when producing limb-motor movements to music in auditory-only and auditory-visual conditions.

Multimodal analysis of synchronization data from patients with dementia

TL;DR: An analysis framework was established for the extraction of quantity of motion and synchronization parameters from the multimodal dataset composed of sensor, audio, and video data and holds potential to respond to the needs of complex movement data handling.
Journal ArticleDOI

The TeensyTap Framework for Sensorimotor Synchronization Experiments.

TL;DR: The current article presents and validates TeensyTap, an inexpensive, highly functional framework with excellent timing performance, and reports a validation experiment showing that timing performance of Te teensyTap is highly accurate, ranking it among the gold standard tools available in the field.
References
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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.
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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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