Literature DB >> 27894830

The multiple process model of goal-directed reaching revisited.

Digby Elliott1, James Lyons2, Spencer J Hayes3, James J Burkitt2, James W Roberts2, Lawrence E M Grierson4, Steve Hansen5, Simon J Bennett3.   

Abstract

Recently our group forwarded a model of speed-accuracy relations in goal-directed reaching. A fundamental feature of our multiple process model was the distinction between two types of online regulation: impulse control and limb-target control. Impulse control begins during the initial stages of the movement trajectory and involves a comparison of actual limb velocity and direction to an internal representation of expectations about the limb trajectory. Limb-target control involves discrete error-reduction based on the relative positions of the limb and the target late in the movement. Our model also considers the role of eye movements, practice, energy optimization and strategic behavior in limb control. Here, we review recent work conducted to test specific aspects of our model. As well, we consider research not fully incorporated into our earlier contribution. We conclude that a slightly modified and expanded version of our model, that includes crosstalk between the two forms of online regulation, does an excellent job of explaining speed, accuracy, and energy optimization in goal-directed reaching.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Aiming/reaching; Limb trajectories; Movement planning; Speed-accuracy; Visual feedback

Mesh:

Year:  2016        PMID: 27894830     DOI: 10.1016/j.neubiorev.2016.11.016

Source DB:  PubMed          Journal:  Neurosci Biobehav Rev        ISSN: 0149-7634            Impact factor:   8.989


  21 in total

1.  Distinct and flexible rates of online control.

Authors:  John de Grosbois; Luc Tremblay
Journal:  Psychol Res       Date:  2017-07-21

2.  A feedback information-theoretic transmission scheme (FITTS) for modeling trajectory variability in aimed movements.

Authors:  Julien Gori; Olivier Rioul
Journal:  Biol Cybern       Date:  2020-12-08       Impact factor: 2.086

3.  Sensory inflow manipulation induces learning-like phenomena in motor behavior.

Authors:  Samuele Contemori; Cristina V Dieni; Jacqueline A Sullivan; Aldo Ferraresi; Chiara Occhigrossi; Francesco Calabrese; Vito E Pettorossi; Andrea Biscarini; Roberto Panichi
Journal:  Eur J Appl Physiol       Date:  2020-02-15       Impact factor: 3.078

4.  Contributions of exercise-induced fatigue versus intertrial tendon vibration on visual-proprioceptive weighting for goal-directed movement.

Authors:  Damian M Manzone; Luc Tremblay
Journal:  J Neurophysiol       Date:  2020-08-05       Impact factor: 2.714

Review 5.  Decision-making in sensorimotor control.

Authors:  Jason P Gallivan; Craig S Chapman; Daniel M Wolpert; J Randall Flanagan
Journal:  Nat Rev Neurosci       Date:  2018-09       Impact factor: 34.870

6.  Submovement control processes in discrete aiming as a function of space-time constraints.

Authors:  Tsung-Yu Hsieh; Yeou-Teh Liu; Karl M Newell
Journal:  PLoS One       Date:  2017-12-27       Impact factor: 3.240

7.  Grasping movements toward seen and handheld objects.

Authors:  Ivan Camponogara; Robert Volcic
Journal:  Sci Rep       Date:  2019-03-06       Impact factor: 4.379

Review 8.  Visuomotor Behaviour in Amblyopia: Deficits and Compensatory Adaptations.

Authors:  Ewa Niechwiej-Szwedo; Linda Colpa; Agnes M F Wong
Journal:  Neural Plast       Date:  2019-06-09       Impact factor: 3.599

9.  Some binocular advantages for planning reach, but not grasp, components of prehension.

Authors:  Simon Grant; Miriam L Conway
Journal:  Exp Brain Res       Date:  2019-03-08       Impact factor: 1.972

10.  Unifying Speed-Accuracy Trade-Off and Cost-Benefit Trade-Off in Human Reaching Movements.

Authors:  Luka Peternel; Olivier Sigaud; Jan Babič
Journal:  Front Hum Neurosci       Date:  2017-12-19       Impact factor: 3.169

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