Literature DB >> 11460766

Endpoints of arm movements to visual targets.

J J van den Dobbelsteen1, E Brenner, J B Smeets.   

Abstract

Reaching out for objects with an unseen arm involves using both visual and kinesthetic information. Neither visual nor kinesthetic information is perfect. Each is subject to both constant and variable errors. To evaluate how such errors influence performance in natural goal-directed movements, we asked subjects to align a real 5-cm cube, which they held in their hand but could not see, with a three-dimensional visual simulation of such a cube. The simulated cube was presented at one of four target locations at the corners of an imaginary tetraeder. Subjects made successive, self-paced movements between these target locations. They could not see anything except the simulated cube throughout the experiment. Initial analysis of the spatial dispersion of movement endpoints demonstrated that the major source of errors under these conditions was visual. Further analysis of the relationship between variability of the starting positions and endpoints showed that the errors were primarily in judging the endpoint, rather than the direction or amplitude of the required movement vector. The findings support endpoint control of human goal-directed movements.

Entities:  

Mesh:

Year:  2001        PMID: 11460766     DOI: 10.1007/s002210100689

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


  18 in total

1.  Movement speed effects on limb position drift.

Authors:  Liana E Brown; David A Rosenbaum; Robert L Sainburg
Journal:  Exp Brain Res       Date:  2003-08-19       Impact factor: 1.972

2.  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

3.  The influence of movement cues on intermanual interactions.

Authors:  Herbert Heuer; Wolfhard Klein
Journal:  Psychol Res       Date:  2005-08-05

4.  The acquisition and implementation of the smoothness maximization motion strategy is dependent on spatial accuracy demands.

Authors:  Ronen Sosnik; Tamar Flash; Bjoern Hauptmann; Avi Karni
Journal:  Exp Brain Res       Date:  2007-01       Impact factor: 1.972

5.  Generalization via superposition: combined effects of mixed reference frame representations for explicit and implicit learning in a visuomotor adaptation task.

Authors:  Eugene Poh; Jordan A Taylor
Journal:  J Neurophysiol       Date:  2019-04-03       Impact factor: 2.714

6.  Motor learning reveals the existence of multiple codes for movement planning.

Authors:  Todd E Hudson; Michael S Landy
Journal:  J Neurophysiol       Date:  2012-08-29       Impact factor: 2.714

7.  Postural adjustments to support surface perturbations during reaching depend upon body-target reference frame.

Authors:  Alicia J Hilderley; Julia A Leonard; Andrea Green; Ryan Ouckama; Paul J Stapley
Journal:  Exp Brain Res       Date:  2014-10-08       Impact factor: 1.972

8.  Sensory integration during reaching: the effects of manipulating visual target availability.

Authors:  Sajida Khanafer; Erin K Cressman
Journal:  Exp Brain Res       Date:  2014-08-22       Impact factor: 1.972

9.  Sinusoidal error perturbation reveals multiple coordinate systems for sensorymotor adaptation.

Authors:  Todd E Hudson; Michael S Landy
Journal:  Vision Res       Date:  2016-02-05       Impact factor: 1.886

Review 10.  The Psychology of Reaching: Action Selection, Movement Implementation, and Sensorimotor Learning.

Authors:  Hyosub E Kim; Guy Avraham; Richard B Ivry
Journal:  Annu Rev Psychol       Date:  2020-09-25       Impact factor: 24.137

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