Literature DB >> 18977388

MatTAP: A MATLAB toolbox for the control and analysis of movement synchronisation experiments.

Mark T Elliott1, Andrew E Welchman, Alan M Wing.   

Abstract

Investigating movement timing and synchronisation at the sub-second range relies on an experimental setup that has high temporal fidelity, is able to deliver output cues and can capture corresponding responses. Modern, multi-tasking operating systems make this increasingly challenging when using standard PC hardware and programming languages. This paper describes a new free suite of tools (available from http://www.snipurl.com/mattap) for use within the MATLAB programming environment, compatible with Microsoft Windows and a range of data acquisition hardware. The toolbox allows flexible generation of timing cues with high temporal accuracy, the capture and automatic storage of corresponding participant responses and an integrated analysis module for the rapid processing of results. A simple graphical user interface is used to navigate the toolbox and so can be operated easily by users not familiar with programming languages. However, it is also fully extensible and customisable, allowing adaptation for individual experiments and facilitating the addition of new modules in future releases. Here we discuss the relevance of the MatTAP (MATLAB Timing Analysis Package) toolbox to current timing experiments and compare its use to alternative methods. We validate the accuracy of the analysis module through comparison to manual observation methods and replicate a previous sensorimotor synchronisation experiment to demonstrate the versatility of the toolbox features demanded by such movement synchronisation paradigms.

Entities:  

Mesh:

Year:  2008        PMID: 18977388     DOI: 10.1016/j.jneumeth.2008.10.002

Source DB:  PubMed          Journal:  J Neurosci Methods        ISSN: 0165-0270            Impact factor:   2.390


  13 in total

1.  The effect of ageing on multisensory integration for the control of movement timing.

Authors:  Mark T Elliott; Alan M Wing; Andrew E Welchman
Journal:  Exp Brain Res       Date:  2011-06-19       Impact factor: 1.972

Review 2.  Sensorimotor synchronization: a review of recent research (2006-2012).

Authors:  Bruno H Repp; Yi-Huang Su
Journal:  Psychon Bull Rev       Date:  2013-06

3.  The Schultz MIDI Benchmarking Toolbox for MIDI interfaces, percussion pads, and sound cards.

Authors:  Benjamin G Schultz
Journal:  Behav Res Methods       Date:  2019-02

4.  Being discrete helps keep to the beat.

Authors:  M T Elliott; A E Welchman; A M Wing
Journal:  Exp Brain Res       Date:  2008-12-02       Impact factor: 1.972

5.  A simple and cheap setup for timing tapping responses synchronized to auditory stimuli.

Authors:  Martin A Miguel; Pablo Riera; Diego Fernandez Slezak
Journal:  Behav Res Methods       Date:  2021-08-03

6.  Early, but not late visual distractors affect movement synchronization to a temporal-spatial visual cue.

Authors:  Ashley J Booth; Mark T Elliott
Journal:  Front Psychol       Date:  2015-06-24

7.  Moving in time: Bayesian causal inference explains movement coordination to auditory beats.

Authors:  Mark T Elliott; Alan M Wing; Andrew E Welchman
Journal:  Proc Biol Sci       Date:  2014-07-07       Impact factor: 5.349

8.  Stepping to phase-perturbed metronome cues: multisensory advantage in movement synchrony but not correction.

Authors:  Rachel L Wright; Mark T Elliott
Journal:  Front Hum Neurosci       Date:  2014-09-11       Impact factor: 3.169

9.  Cue properties change timing strategies in group movement synchronisation.

Authors:  Juliane J Honisch; Mark T Elliott; Nori Jacoby; Alan M Wing
Journal:  Sci Rep       Date:  2016-01-19       Impact factor: 4.379

10.  Oddball onset timing: Little evidence of early gating of oddball stimuli from tapping, reacting, and producing.

Authors:  Jordan Wehrman; Paul Sowman
Journal:  Atten Percept Psychophys       Date:  2021-03-15       Impact factor: 2.199

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