Literature DB >> 9627418

Adaptive internal model of intrinsic kinematics involved in learning an aiming task.

H Imamizu1, Y Uno, M Kawato.   

Abstract

The elbow-joint angle and the shoulder-joint angle of participants aiming at targets were multiplied in an experiment that used a position-recording system and a cathode-ray tube screen. The linear transformation in joint angles (intrinsic coordinates) corresponded to a nonlinear transformation between the hand coordinates and the screen coordinates (extrinsic coordinates). We examined whether participants could learn this transformation in the intrinsic coordinates or in the extrinsic coordinates by investigating intermanual (between-hands) transfer under an intrinsically consistent condition and an extrinsically consistent condition. Positive intermanual transfer was observed in the former condition but not in the latter condition. Results suggest that participants can learn the linear transformation in joint angles under the intrinsic coordinates and that the central nervous system adaptively represents the intrinsic kinematics.

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Year:  1998        PMID: 9627418     DOI: 10.1037//0096-1523.24.3.812

Source DB:  PubMed          Journal:  J Exp Psychol Hum Percept Perform        ISSN: 0096-1523            Impact factor:   3.332


  13 in total

1.  fMRI analysis of ankle movement tracking training in subject with stroke.

Authors:  James R Carey; Kathleen M Anderson; Teresa J Kimberley; Scott M Lewis; Edward J Auerbach; Kamil Ugurbil
Journal:  Exp Brain Res       Date:  2003-10-25       Impact factor: 1.972

2.  Intermanual transfer of force control is modulated by asymmetry of muscular strength.

Authors:  Luis Augusto Teixeira; Leandro Quedas Caminha
Journal:  Exp Brain Res       Date:  2003-01-31       Impact factor: 1.972

3.  EEG correlates of coordinate processing during intermanual transfer.

Authors:  Regine K Lange; Ben Godde; Christoph Braun
Journal:  Exp Brain Res       Date:  2004-09-01       Impact factor: 1.972

4.  Limitations in interlimb transfer of visuomotor rotations.

Authors:  Jinsung Wang; Robert L Sainburg
Journal:  Exp Brain Res       Date:  2003-12-19       Impact factor: 1.972

5.  Learning and transfer of bimanual multifrequency patterns: effector-independent and effector-specific levels of movement representation.

Authors:  Sophie Vangheluwe; Ellen Suy; Nicole Wenderoth; Stephan P Swinnen
Journal:  Exp Brain Res       Date:  2005-11-24       Impact factor: 1.972

6.  Referent control of the orientation of posture and movement in the gravitational field.

Authors:  Aditi A Mullick; Nicolas A Turpin; Szu-Chen Hsu; Sandeep K Subramanian; Anatol G Feldman; Mindy F Levin
Journal:  Exp Brain Res       Date:  2017-11-21       Impact factor: 1.972

7.  Dynamic neural network models of the premotoneuronal circuitry controlling wrist movements in primates.

Authors:  M A Maier; L E Shupe; E E Fetz
Journal:  J Comput Neurosci       Date:  2005-10       Impact factor: 1.621

8.  Human postural sway results from frequent, ballistic bias impulses by soleus and gastrocnemius.

Authors:  Ian D Loram; Constantinos N Maganaris; Martin Lakie
Journal:  J Physiol       Date:  2005-01-20       Impact factor: 5.182

9.  Generalization of motor adaptation to repeated-slip perturbation across tasks.

Authors:  T-Y Wang; T Bhatt; F Yang; Y-C Pai
Journal:  Neuroscience       Date:  2011-02-23       Impact factor: 3.590

10.  Similarities in the neural control of the shoulder and elbow joints belie their structural differences.

Authors:  Andrew R Karduna; Robert L Sainburg
Journal:  PLoS One       Date:  2012-10-17       Impact factor: 3.240

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