Literature DB >> 23302290

Does the nervous system use equilibrium-point control to guide single and multiple joint movements?

E Bizzi1, N Hogan, F A Mussa-Ivaldi, S Giszter.   

Abstract

The hypothesis that the central nervous system (CNS) generates movement as a shift of the limb's equilibrium posture has been corroborated experimentally in studies involving single- and multijoint motions. Posture may be controlled through the choice of muscle length-tension curve that set agonist-antagonist torque-angle curves determining an equilibrium position for the limb and the stiffness about the joints. Arm trajectories seem to be generated through a control signal defining a series of equilibrium postures. The equilibrium-point hypothesis drastically simplifies the requisite computations for multijoint movements and mechanical interactions with complex dynamic objects in the environment. Because the neuromuscular system is springlike, the instantaneous difference between the arm's actual position and the equilibrium position specified by the neural activity can generate the requisite torques, avoiding the complex "inverse dynamic" problem of computing the torques at the joints. The hypothesis provides a simple, unified description of posture and movement as well as contact control task performance, in which the limb must exert force stably and do work on objects in the environment. The latter is a surprisingly difficult problem, as robotic experience has shown. The prior evidence for the hypothesis came mainly from psychophysical and behavioral experiments. Our recent work has shown that microstimulation of the frog spinal cord's premotoneural network produces leg movements to various positions in the frog's motor space. The hypothesis can now be investigated in the neurophysiological machinery of the spinal cord.

Year:  1992        PMID: 23302290     DOI: 10.1017/S0140525X00072538

Source DB:  PubMed          Journal:  Behav Brain Sci        ISSN: 0140-525X            Impact factor:   12.579


  52 in total

Review 1.  Organisation of inputs to spinal interneurone populations.

Authors:  S A Edgley
Journal:  J Physiol       Date:  2001-05-15       Impact factor: 5.182

2.  Discrete and cyclical units of action in a mixed target pair aiming task.

Authors:  John J Buchanan; Jin-H Park; Young U Ryu; Charles H Shea
Journal:  Exp Brain Res       Date:  2003-05-09       Impact factor: 1.972

3.  Perceived reachability: the roles of handedness and hemifield.

Authors:  Martin H Fischer
Journal:  Exp Brain Res       Date:  2004-09-04       Impact factor: 1.972

Review 4.  Optimality principles in sensorimotor control.

Authors:  Emanuel Todorov
Journal:  Nat Neurosci       Date:  2004-09       Impact factor: 24.884

5.  Illusions as a tool to study the coding of pointing movements.

Authors:  Denise D J de Grave; Eli Brenner; Jeroen B J Smeets
Journal:  Exp Brain Res       Date:  2003-11-08       Impact factor: 1.972

6.  Passive motion paradigm: an alternative to optimal control.

Authors:  Vishwanathan Mohan; Pietro Morasso
Journal:  Front Neurorobot       Date:  2011-12-27       Impact factor: 2.650

7.  Testing hypotheses and the advancement of science: recent attempts to falsify the equilibrium point hypothesis.

Authors:  Anatol G Feldman; Mark L Latash
Journal:  Exp Brain Res       Date:  2004-10-15       Impact factor: 1.972

8.  Intrinsic musculoskeletal properties stabilize wiping movements in the spinalized frog.

Authors:  Andrew G Richardson; Jean-Jacques E Slotine; Emilio Bizzi; Matthew C Tresch
Journal:  J Neurosci       Date:  2005-03-23       Impact factor: 6.167

9.  Velocity-based planning of rapid elbow movements expands the control scheme of the equilibrium point hypothesis.

Authors:  Masataka Suzuki; Yoshihiko Yamazaki
Journal:  J Comput Neurosci       Date:  2005 Mar-Apr       Impact factor: 1.621

Review 10.  The internal model and the leading joint hypothesis: implications for control of multi-joint movements.

Authors:  Natalia Dounskaia
Journal:  Exp Brain Res       Date:  2005-08-13       Impact factor: 1.972

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.