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J Neurophysiol 84: 1708-1718, 2000;
0022-3077/00 $5.00
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The Journal of Neurophysiology Vol. 84 No. 4 October 2000, pp. 1708-1718
Copyright ©2000 by the American Physiological Society

Intermittency in the Control of Continuous Force Production

Andrew B. Slifkin,1,2 David E. Vaillancourt,2,3 and Karl M. Newell1,2

 1Department of Biobehavioral Health,  2Department of Kinesiology, and  3The Gerontology Center, The Pennsylvania State University, University Park, Pennsylvania 16802

Slifkin, Andrew B., David E. Vaillancourt, and Karl M. Newell. Intermittency in the Control of Continuous Force Production. J. Neurophysiol. 84: 1708-1718, 2000. The purpose of the current investigation was to examine the influence of intermittency in visual information processes on intermittency in the control continuous force production. Adult human participants were required to maintain force at, and minimize variability around, a force target over an extended duration (15 s), while the intermittency of on-line visual feedback presentation was varied across conditions. This was accomplished by varying the frequency of successive force-feedback deliveries presented on a video display. As a function of a 128-fold increase in feedback frequency (0.2 to 25.6 Hz), performance quality improved according to hyperbolic functions (e.g., force variability decayed), reaching asymptotic values near the 6.4-Hz feedback frequency level. Thus, the briefest interval over which visual information could be integrated and used to correct errors in motor output was approximately 150 ms. The observed reductions in force variability were correlated with parallel declines in spectral power at about 1 Hz in the frequency profile of force output. In contrast, power at higher frequencies in the force output spectrum were uncorrelated with increases in feedback frequency. Thus, there was a considerable lag between the generation of motor output corrections (1 Hz) and the processing of visual feedback information (6.4 Hz). To reconcile these differences in visual and motor processing times, we proposed a model where error information is accumulated by visual information processes at a maximum frequency of 6.4 per second, and the motor system generates a correction on the basis of the accumulated information at the end of each 1-s interval.




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