Literature DB >> 16838148

Feed-forward control of a redundant motor system.

Simon R Goodman1, Mark L Latash.   

Abstract

We describe a model of feed-forward control of a redundant motor system and validate it using, as examples, tasks of multi-finger force production. The model assumes the existence of two input signals at an upper level of the control hierarchy, related and unrelated to a task variable. Knowledge of the Jacobian of the system is assumed at the level of generation of elemental variables (variables at the level of effectors). Variance at the level of elemental variables is considered as the sum of two components, related and unrelated to variability in the task variable. An index of stabilization of the task variable is similarly introduced as to how it was done in several studies using the framework of the uncontrolled manifold hypothesis. Several phenomena have been simulated including data point distributions corresponding to presence and absence of force-stabilizing synergies in two-finger tasks, changes in synergies with practice, and changes in synergy indices in preparation to a fast action. The model is discussed in comparison to other models of control of multi-element systems based on feedback processes. It shows that patterns of structured variability in the space of elemental variables can result from feed-forward processes. Relations of the model to the equilibrium-point hypothesis are also discussed.

Mesh:

Year:  2006        PMID: 16838148     DOI: 10.1007/s00422-006-0086-4

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


  38 in total

1.  Fatigue and motor redundancy: adaptive increase in finger force variance in multi-finger tasks.

Authors:  Tarkeshwar Singh; S K M Varadhan; Vladimir M Zatsiorsky; Mark L Latash
Journal:  J Neurophysiol       Date:  2010-03-31       Impact factor: 2.714

2.  Multi-finger pressing synergies change with the level of extra degrees of freedom.

Authors:  Sohit Karol; You-Sin Kim; Junfeng Huang; Yoon Hyuk Kim; Kyung Koh; Bum Chul Yoon; Jae Kun Shim
Journal:  Exp Brain Res       Date:  2010-12-01       Impact factor: 1.972

3.  Optimality vs. variability: an example of multi-finger redundant tasks.

Authors:  Jaebum Park; Vladimir M Zatsiorsky; Mark L Latash
Journal:  Exp Brain Res       Date:  2010-10-15       Impact factor: 1.972

4.  Short-term changes in protective stepping for lateral balance recovery in older adults.

Authors:  Don A Yungher; Judith Morgia; Woei-Nan Bair; Mario Inacio; Brock A Beamer; Michelle G Prettyman; Mark W Rogers
Journal:  Clin Biomech (Bristol, Avon)       Date:  2011-10-15       Impact factor: 2.063

5.  Prehension synergies in the grasps with complex friction patterns: local versus synergic effects and the template control.

Authors:  Xun Niu; Mark L Latash; Vladimir M Zatsiorsky
Journal:  J Neurophysiol       Date:  2007-05-09       Impact factor: 2.714

6.  Regular and random components in aiming-point trajectory during rifle aiming and shooting.

Authors:  Simon Goodman; Amy Haufler; Jae Kun Shim; Bradley Hatfieldd
Journal:  J Mot Behav       Date:  2009-07       Impact factor: 1.328

7.  Hierarchies of Synergies in Human Movements.

Authors:  Mark L Latash; Stacey Gorniak; Vladimir M Zatsiorsky
Journal:  Kinesiology (Zagreb)       Date:  2008-06-01       Impact factor: 1.452

8.  Angular momentum synergies during walking.

Authors:  Thomas Robert; Bradford C Bennett; Shawn D Russell; Christopher A Zirker; Mark F Abel
Journal:  Exp Brain Res       Date:  2009-07-04       Impact factor: 1.972

9.  Do synergies improve accuracy? A study of speed-accuracy trade-offs during finger force production.

Authors:  Stacey L Gorniak; Marcos Duarte; Mark L Latash
Journal:  Motor Control       Date:  2008-04       Impact factor: 1.422

10.  Anticipatory synergy adjustments: preparing a quick action in an unknown direction.

Authors:  Tao Zhou; Yen-Hsun Wu; Angelo Bartsch; Cristian Cuadra; Vladimir M Zatsiorsky; Mark L Latash
Journal:  Exp Brain Res       Date:  2013-03-15       Impact factor: 1.972

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