Abstract
Approaches to the problems of multi-muscle and joint redundancy have typically been based on the assumption that control levels of the nervous system directly deal with variables describing the motor output — electromyographic (EMG) signals, forces and kinematics. An alternative approach to these problems can be developed in the framework of the ? model based on the empirical solution of another classical problem in the motor control — that of the relationship between posture and movement. This solution implies that control levels guide movement by changing specific neurophysiological parameters and modify their pattern if the resulting action is in error. Specifically, these control parameters interfere with the transmission of afferent signals by spinal and supraspinal neurons to motoneurons. Some parameters reset the spatial coordinates at which a stable posture of the body or its segments can be reached. Other parameters deal with stability of posture and movement. This parametric control strategy releases higher control levels from the burden of solving redundancy problems at the level of output, i.e. mechanical and EMG variables. In response to changes in control parameters, appropriate values of mechanical and EMG variables and their transformations (e.g., from the hand kinematics to joint angles) emerge automatically, following the natural tendency of the neuromuscular system to reach an equilibrium state. This process results from the natural tendency to minimize the overall activity and the interactions between different components (neurons, muscles and joints) of the neuromuscular system in response to resetting of control parameters (the principle of minimal interaction). Based on these ideas, we outline non-computational, dynamical solutions of the problems of multi-muscle and multi-joint redundancy. This approach does not reject the notion of synergies, primitives, or recently proposed classification of multi-joint co-ordinations into a controlled and uncontrolled manifolds. Rather, it suggests that synergies or manifolds, like trajectories and forces, may be an emergent property of the neuromuscular behavior resulting from the response of the system to changes in control parameters in specific environmental conditions.
Keywords
- Neuromuscular System
- Redundancy Problem
- Uncontrolled Manifold
- Endpoint Trajectory
- Referent Configuration
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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References
Asatryan DG, Feldman AG (1965) Functional tuning of the nervous system with control of movement or maintenance of a steady posture: 1. Mechanographic analysis of the work of a limb on execution of a postural task. Biophysics 10, 925–935
Adamovich SA, Archambault PS, Ghafouri M, Levin MF, Poizner H, Feldman AG (2001) Hand trajectory invariance in reaching movements involving the trunk. Exp Brain Res 138, 288–303
Balasubramaniam R, Feldman AG (2001) Frames of reference in reaching movements with reversals. In: Proceedings of the X I International conference on Perception and Action, Storrs, CT
Balasubramaniam R, Feldman AG (2002) Some Robotic imitations of biological movement systems might be counterproductive. Behav Brain Sci 24, 1050–1051
Balasubramaniam R, Wing AM (2002) The dynamics of standing balance. Trends Cogn Sci 6, 531–536
Bernstein N (1967) The coordination and regulation of movements. Pergamon Press, Oxford
Bhushan N, Shadmehr R (1999) Computational nature of human adaptive control during the learning of reaching movements in force fields. Biol Cybern 81, 39–60
Feldman AG, Levin MF (1995) The origin and use of positional frames of reference in motor control. Behav Brain Sci 18, 723–806
Feldman AG, Orlovsky GN (1972) The influence of different descending systems on the tonic stretch reflex in the cat. Exp Neurol 37, 481–494
Feldman AG, Levin MF, Mitniski AM, Archambault P (1998) Multi-muscle control in human movements. J Electromyogr Kines 8, 383–390
Gelfand IM, Tsetlin ML (1971) On mathematical modelling of mechanisms of central nervous system. In: Gelfand IM, Gurfinkel VS, Fomin SV, Tsetlin ML (eds.) Models of structural-functional organization of certain biological systems. MIT Press, Cambridge, MA
Ghafouri M, Archambault P, Adamovich SV, Feldman AG, (2002) Pointing movements may be produced in different frames of reference depending on task demands. Brain Res 929, 117–128
Glansdorff P, Prigogine I, (1971) Thermodynamic Theory of Structure, Stability and Fluctuations.Wiley, London
Hollerbach JM (1972) Computers, brains and the control of movement. Trends Neurosci 6, 189–192
Kawato M (1999) Internal models of motor control and trajectory planning. Curr Opin Neurobiol 9, 718–727
Kelso JAS (1995) Dynamic Patterns. Cambridge, MIT Press
Lashley KS (1951) The problem of serial order in behaviour. In: Jefress LA, (ed.) Cerebral mechanisms in behaviour. Wiley, New York
Lestienne FG, Thullier F, Archambault P, Levin MF, Feldman AG (2000) Multi-muscle control of head movements in monkeys: The referent configuration hypothesis. Neurosci Lett 283, 65–68
Levin MF, Lamarre Y, Feldman AG (1995) Control variables and proprioceptive feedback in fast single joint movement. Can J Physiol Pharm 73, 316–330
Levin MF, Dumov M (1997) Spatial zones for muscle co-activation and the control of postural stability. Brain Res 757, 43–59
Levin MF, Selles RW, Verheul MHG, Meijer OG (2000) Deficits in coordination of agonist and antagonist muscles in stroke patients: Implications for motor control. Brain Res 853, 352–369
Matthews PBC (1959) The dependence of tension upon extension in the stretch reflex of the soleus muscle in the decerebrate cat. J Physiol 147, 52–546
Ostry DJ, Feldman AG (2003) A critical evaluation of force control hypothesis in motor control. Experimental Brain Res, in press
Pigeon P, Yahia LH, Mitniski AB, Feldman AG (2000) Superposition of independent units of coordination during pointing movements is preserved in the absence of visual feedback. Exp Brain Res 131, 336–349
Rossi E, Mitniski AM, Feldman AG (2002) Sequential control signals determine arm and trunk contributions to hand transport during reaching in humans. J Physiol-London 538, 659–671
Scholz JP, Schöner G (1999) The uncontrolled manifold concept: Identifying control variables for functional tasks. Exp Brain Res 26, 289–306
Scholz JP, Reisman D, Schöner G (2001). Effects of Varying Task Constraints on Solutions to Joint Control in Sit-to-Stand. Exp Brain Res 141, 485–500
Scholz JP, Schöner G, Latash ML (2000) Identifying the control structure of multij oint coordination during pistol shooting. Exp Brain Res 135, 382–404
Von Holst E, Mittelstaedt H (1950/1973) Daz reafferezprincip.
Wechselwirkungenzwischen Zentralnerven-system und Peripherie, Naturwiss, 37 467–476. The reafference principle. In: Martin R (translator) The Behavioral Physiology of Animals and Man. The collected papers of Erich von Holst. University of Miami Press, Coral Gables, Florida
Wolpert DM, Ghahramani Z (2000) Computational principles of movement neuroscience. Nat Neurosci 3, 1212–1217
Wolpert DM, Ghahramani Z, Flanagan JR (2001) Perspectives and problems in motor learning. Trends Cogn Sci 5, 487–494
Wolpert DM, Kawato M (1998) Multiple paired forward and inverse models for motor control. Neural Networks 11, 1317–1329
Won J, Hogan N (1995) Spatial properties of human reaching movements. Exp Brain Res 107, 125–136
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Balasubramaniam, R., Feldman, A.G. (2004). Guiding Movements without Redundancy Problems. In: Jirsa, V.K., Kelso, J.A.S. (eds) Coordination Dynamics: Issues and Trends. Understanding Complex Systems. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39676-5_9
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DOI: https://doi.org/10.1007/978-3-540-39676-5_9
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