Literature DB >> 12136377

Temporal capacity of short-term visuomotor memory in continuous force production.

David E Vaillancourt1, Daniel M Russell.   

Abstract

The focus of this article is on the temporal capacity of short-term visuomotor memory as reflected by changes in the time and frequency patterns of force output. In experiment 1, subjects produced continuous force output (isometric index finger flexion) to a target force level (from 5 to 75% of maximum voluntary contraction, MVC) displayed on a video monitor for 20 s. In the full visual feedback condition, visual feedback was displayed throughout each trial, while, for the visual feedback-withdrawal condition, visual feedback was occluded for the final 12 s of each trial. With visual feedback present, subjects matched their force output to the target force level for 20 s. When visual feedback was removed, participants continued to match the target force level for approximately 0.5-1.5 s; thereafter force output decayed exponentially. In line with this decay, short time-frequency analysis revealed a decrease in force intensity in the 0- to 5-Hz band. Force level did not influence the time before decay; however, greater forces led to larger decay. Experiment 2 assessed whether the force decay in experiment 1 was a property of visual or motor short-term memory by having participants set their own target force levels with no visual information provided throughout. In agreement with the findings of experiment 1, force output decayed, emphasizing the importance of a motor memory source. It is concluded that the 0.5- to 1.5-s time period represents a limit on the temporal capacity that precise visuomotor information is held in short-term memory.

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Year:  2002        PMID: 12136377     DOI: 10.1007/s00221-002-1081-1

Source DB:  PubMed          Journal:  Exp Brain Res        ISSN: 0014-4819            Impact factor:   1.972


  68 in total

1.  Time gain influences adaptive visual-motor isometric force control.

Authors:  Xiaogang Hu; Molly M Mazich; Karl M Newell
Journal:  Exp Brain Res       Date:  2012-01-26       Impact factor: 1.972

2.  Spatiotemporal dynamics of brain activity during the transition from visually guided to memory-guided force control.

Authors:  Cynthia Poon; Lisa G Chin-Cottongim; Stephen A Coombes; Daniel M Corcos; David E Vaillancourt
Journal:  J Neurophysiol       Date:  2012-06-13       Impact factor: 2.714

3.  Visual information interacts with neuromuscular factors in the coordination of bimanual isometric force.

Authors:  Xiaogang Hu; Mike Loncharich; Karl M Newell
Journal:  Exp Brain Res       Date:  2010-12-28       Impact factor: 1.972

4.  The nature of constant and cyclic force production: unintentional force-drift characteristics.

Authors:  Satyajit Ambike; Daniela Mattos; Vladimir M Zatsiorsky; Mark L Latash
Journal:  Exp Brain Res       Date:  2015-09-29       Impact factor: 1.972

5.  Case Studies in Neuroscience: The central and somatosensory contributions to finger interdependence and coordination: lessons from a study of a "deafferented person".

Authors:  Cristian Cuadra; Ali Falaki; Robert Sainburg; Fabrice R Sarlegna; Mark L Latash
Journal:  J Neurophysiol       Date:  2019-04-10       Impact factor: 2.714

6.  Memory-guided force output is associated with self-reported ADHD symptoms in young adults.

Authors:  Kristina A Neely; Amanda P Chennavasin; Arie Yoder; Genevieve K R Williams; Eric Loken; Cynthia L Huang-Pollock
Journal:  Exp Brain Res       Date:  2016-07-09       Impact factor: 1.972

7.  Unintentional movements produced by back-coupling between the actual and referent body configurations: violations of equifinality in multi-joint positional tasks.

Authors:  Tao Zhou; Stanislaw Solnik; Yen-Hsun Wu; Mark L Latash
Journal:  Exp Brain Res       Date:  2014-08-24       Impact factor: 1.972

8.  Memory-guided force control in healthy younger and older adults.

Authors:  Kristina A Neely; Shaadee Samimy; Samantha L Blouch; Peiyuan Wang; Amanda Chennavasin; Michele T Diaz; Nancy A Dennis
Journal:  Exp Brain Res       Date:  2017-05-16       Impact factor: 1.972

9.  Differential force scaling of fine-graded power grip force in the sensorimotor network.

Authors:  Birgit Keisker; Marie-Claude Hepp-Reymond; Armin Blickenstorfer; Martin Meyer; Spyros S Kollias
Journal:  Hum Brain Mapp       Date:  2009-08       Impact factor: 5.038

10.  Greater amount of visual feedback decreases force variability by reducing force oscillations from 0-1 and 3-7 Hz.

Authors:  Harsimran S Baweja; Deanna M Kennedy; Julie Vu; David E Vaillancourt; Evangelos A Christou
Journal:  Eur J Appl Physiol       Date:  2009-12-02       Impact factor: 3.078

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