Literature DB >> 9433753

Does the brain use sliding variables for the control of movements?

S Hanneton1, A Berthoz, J Droulez, J J Slotine.   

Abstract

Delays in the transmission of sensory and motor information prevent errors from being instantaneously available to the central nervous system (CNS) and can reduce the stability of a closed-loop control strategy. On the other hand, the use of a pure feedforward control (inverse dynamics) requires a perfect knowledge of the dynamic behavior of the body and of manipulated objects. Sensory feedback is essential both to accommodate unexpected errors and events and to compensate for uncertainties about the dynamics of the body. Experimental observations concerning the control of posture, gaze and limbs have shown that the CNS certainly uses a combination of closed-loop and open-loop control. Feedforward components of movement, such as eye saccades, occur intermittently and present a stereotyped kinematic profile. In visuo-manual tracking tasks, hand movements exhibit velocity peaks that occur intermittently. When a delay or a slow dynamics are inserted in the visuo-manual control loop, intermittent step-and-hold movements appear clearly in the hand trajectory. In this study, we investigated strategies used by human subjects involved in the control of a particular dynamic system. We found strong evidence for substantial nonlinearities in the commands produced. The presence of step-and-hold movements seemed to be the major source of nonlinearities in the control loop. Furthermore, the stereotyped ballistic-like kinematics of these rapid and corrective movements suggests that they were produced in an open-loop way by the CNS. We analyzed the generation of ballistic movements in the light of sliding control theory assuming that they occurred when a sliding variable exceeded a constant threshold. In this framework, a sliding variable is defined as a composite variable (a combination of the instantaneous tracking error and its temporal derivatives) that fulfills a specific stability criterion. Based on this hypothesis and on the assumption of a constant reaction time, the tracking error and its derivatives should be correlated at a particular time lag before movement onset. A peak of correlation was found for a physiologically plausible reaction time, corresponding to a stable composite variable. The direction and amplitude of the ongoing stereotyped movements seemed also be adjusted in order to minimize this variable. These findings suggest that, during visually guided movements, human subjects attempt to minimize such a composite variable and not the instantaneous error. This minimization seems to be obtained by the execution of stereotyped corrective movements.

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Mesh:

Year:  1997        PMID: 9433753     DOI: 10.1007/s004220050398

Source DB:  PubMed          Journal:  Biol Cybern        ISSN: 0340-1200            Impact factor:   2.086


  16 in total

1.  Contributions of feed-forward and feedback strategies at the human ankle during control of unstable loads.

Authors:  James M Finley; Yasin Y Dhaher; Eric J Perreault
Journal:  Exp Brain Res       Date:  2011-12-15       Impact factor: 1.972

2.  Ageing of internal models: from a continuous to an intermittent proprioceptive control of movement.

Authors:  Matthieu P Boisgontier; Vincent Nougier
Journal:  Age (Dordr)       Date:  2012-05-26

3.  Deciding when and how to correct a movement: discrete submovements as a decision making process.

Authors:  Alon Fishbach; Stephane A Roy; Christina Bastianen; Lee E Miller; James C Houk
Journal:  Exp Brain Res       Date:  2006-08-30       Impact factor: 1.972

Review 4.  Internal models in sensorimotor integration: perspectives from adaptive control theory.

Authors:  Chung Tin; Chi-Sang Poon
Journal:  J Neural Eng       Date:  2005-08-31       Impact factor: 5.379

5.  Kinematic properties of on-line error corrections in the monkey.

Authors:  Alon Fishbach; Stephane A Roy; Christina Bastianen; Lee E Miller; James C Houk
Journal:  Exp Brain Res       Date:  2005-06-07       Impact factor: 1.972

6.  Human control of an inverted pendulum: is continuous control necessary? Is intermittent control effective? Is intermittent control physiological?

Authors:  Ian D Loram; Henrik Gollee; Martin Lakie; Peter J Gawthrop
Journal:  J Physiol       Date:  2010-11-22       Impact factor: 5.182

7.  Investigating three types of continuous auditory feedback in visuo-manual tracking.

Authors:  Éric O Boyer; Frédéric Bevilacqua; Patrick Susini; Sylvain Hanneton
Journal:  Exp Brain Res       Date:  2016-11-17       Impact factor: 1.972

8.  Force-field compensation in a manual tracking task.

Authors:  Valentina Squeri; Lorenzo Masia; Maura Casadio; Pietro Morasso; Elena Vergaro
Journal:  PLoS One       Date:  2010-06-17       Impact factor: 3.240

9.  Performance Limitations in Sensorimotor Control: Trade-Offs Between Neural Computation and Accuracy in Tracking Fast Movements.

Authors:  Shreya Saxena; Sridevi V Sarma; Munther Dahleh
Journal:  Neural Comput       Date:  2020-03-18       Impact factor: 2.026

10.  A model of postural control in quiet standing: robust compensation of delay-induced instability using intermittent activation of feedback control.

Authors:  Yoshiyuki Asai; Yuichi Tasaka; Kunihiko Nomura; Taishin Nomura; Maura Casadio; Pietro Morasso
Journal:  PLoS One       Date:  2009-07-08       Impact factor: 3.240

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