Literature DB >> 7789452

Are arm trajectories planned in kinematic or dynamic coordinates? An adaptation study.

D M Wolpert1, Z Ghahramani, M I Jordan.   

Abstract

There are several invariant features of point-to-point human arm movements: trajectories tend to be straight, smooth, and have bell-shaped velocity profiles. One approach to accounting for these data is via optimization theory; a movement is specified implicitly as the optimum of a cost function, e.g., integrated jerk or torque change. Optimization models of trajectory planning, as well as models not phrased in the optimization framework, generally fall into two main groups-those specified in kinematic coordinates and those specified in dynamic coordinates. To distinguish between these two possibilities we have studied the effects of artificial visual feedback on planar two-joint arm movements. During self-paced point-to-point arm movements the visual feedback of hand position was altered so as to increase the perceived curvature of the movement. The perturbation was zero at both ends of the movement and reached a maximum at the midpoint of the movement. Cost functions specified by hand coordinate kinematics predict adaptation to increased curvature so as to reduce the visual curvature, while dynamically specified cost functions predict no adaptation in the underlying trajectory planner, provided the final goal of the movement can still be achieved. We also studied the effects of reducing the perceived curvature in transverse movements, which are normally slightly curved. Adaptation should be seen in this condition only if the desired trajectory is both specified in kinematic coordinates and actually curved. Increasing the perceived curvature of normally straight sagittal movements led to significant (P < 0.001) corrective adaptation in the curvature of the actual hand movement; the hand movement became curved, thereby reducing the visually perceived curvature. Increasing the curvature of the normally curved transverse movements produced a significant (P < 0.01) corrective adaptation; the hand movement became straighter, thereby again reducing the visually perceived curvature. When the curvature of naturally curved transverse movements was reduced, there was no significant adaptation (P > 0.05). The results of the curvature-increasing study suggest that trajectories are planned in visually based kinematic coordinates. The results of the curvature-reducing study suggest that the desired trajectory is straight in visual space. These results are incompatible with purely dynamic-based models such as the minimum torque change model. We suggest that spatial perception--as mediated by vision--plays a fundamental role in trajectory planning.

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Year:  1995        PMID: 7789452     DOI: 10.1007/bf00241505

Source DB:  PubMed          Journal:  Exp Brain Res        ISSN: 0014-4819            Impact factor:   1.972


  24 in total

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Authors:  H A Cunningham
Journal:  J Exp Psychol Hum Percept Perform       Date:  1989-08       Impact factor: 3.332

2.  Time-varying stiffness of human elbow joint during cyclic voluntary movement.

Authors:  D J Bennett; J M Hollerbach; Y Xu; I W Hunter
Journal:  Exp Brain Res       Date:  1992       Impact factor: 1.972

3.  A model of the learning of arm trajectories from spatial deviations.

Authors:  M I Jordan; T Flash; Y Arnon
Journal:  J Cogn Neurosci       Date:  1994       Impact factor: 3.225

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Authors:  M Kuperstein
Journal:  Science       Date:  1988-03-11       Impact factor: 47.728

Review 5.  Neural dynamics of planned arm movements: emergent invariants and speed-accuracy properties during trajectory formation.

Authors:  D Bullock; S Grossberg
Journal:  Psychol Rev       Date:  1988-01       Impact factor: 8.934

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Journal:  J Neurophysiol       Date:  1976-03       Impact factor: 2.714

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Authors:  N Hogan
Journal:  J Neurosci       Date:  1984-11       Impact factor: 6.167

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Authors:  T Flash; N Hogan
Journal:  J Neurosci       Date:  1985-07       Impact factor: 6.167

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Authors:  J A Kelso; D L Southard; D Goodman
Journal:  Science       Date:  1979-03-09       Impact factor: 47.728

10.  Binocular distance perception.

Authors:  J M Foley
Journal:  Psychol Rev       Date:  1980-09       Impact factor: 8.934

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  89 in total

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Authors:  M Rijntjes; C Dettmers; C Büchel; S Kiebel; R S Frackowiak; C Weiller
Journal:  J Neurosci       Date:  1999-09-15       Impact factor: 6.167

2.  Human arm movements described by a low-dimensional superposition of principal components.

Authors:  T D Sanger
Journal:  J Neurosci       Date:  2000-02-01       Impact factor: 6.167

3.  Obstacle avoidance and a perturbation sensitivity model for motor planning.

Authors:  P N Sabes; M I Jordan
Journal:  J Neurosci       Date:  1997-09-15       Impact factor: 6.167

4.  Visual, motor and attentional influences on proprioceptive contributions to perception of hand path rectilinearity during reaching.

Authors:  Robert A Scheidt; Kyle P Lillis; Scott J Emerson
Journal:  Exp Brain Res       Date:  2010-06-08       Impact factor: 1.972

5.  When practice leads to co-articulation: the evolution of geometrically defined movement primitives.

Authors:  Ronen Sosnik; Bjoern Hauptmann; Avi Karni; Tamar Flash
Journal:  Exp Brain Res       Date:  2004-02-26       Impact factor: 1.972

6.  Enhanced mechanical transparency during practice impedes open-loop control of a complex tool.

Authors:  Sandra Sülzenbrück; Herbert Heuer
Journal:  Exp Brain Res       Date:  2012-01-26       Impact factor: 1.972

7.  How is a motor skill learned? Change and invariance at the levels of task success and trajectory control.

Authors:  Lior Shmuelof; John W Krakauer; Pietro Mazzoni
Journal:  J Neurophysiol       Date:  2012-04-18       Impact factor: 2.714

8.  Substituting auditory for visual feedback to adapt to altered dynamic and kinematic environments during reaching.

Authors:  Fabio Oscari; Riccardo Secoli; Federico Avanzini; Giulio Rosati; David J Reinkensmeyer
Journal:  Exp Brain Res       Date:  2012-06-26       Impact factor: 1.972

9.  The curvature and variability of wrist and arm movements.

Authors:  Steven K Charles; Neville Hogan
Journal:  Exp Brain Res       Date:  2010-04-11       Impact factor: 1.972

10.  Compensation for and adaptation to changes in the environment.

Authors:  Martina Rieger; Günther Knoblich; Wolfgang Prinz
Journal:  Exp Brain Res       Date:  2005-03-02       Impact factor: 1.972

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