Literature DB >> 26911681

Temporal Evolution of Spatial Computations for Visuomotor Control.

David W Franklin1, Alexandra Reichenbach2, Sae Franklin3, Jörn Diedrichsen4.   

Abstract

Goal-directed reaching movements are guided by visual feedback from both target and hand. The classical view is that the brain extracts information about target and hand positions from a visual scene, calculates a difference vector between them, and uses this estimate to control the movement. Here we show that during fast feedback control, this computation is not immediate, but evolves dynamically over time. Immediately after a change in the visual scene, the motor system generates independent responses to the errors in hand and target location. Only about 200 ms later, the changes in target and hand positions are combined appropriately in the response, slowly converging to the true difference vector. Therefore, our results provide evidence for the temporal evolution of spatial computations in the human visuomotor system, in which the accurate difference vector computation is first estimated by a fast approximation.
Copyright © 2016 Franklin, Reichenbach et al.

Entities:  

Keywords:  motor control; neural computations; visual processing; visuomotor

Mesh:

Year:  2016        PMID: 26911681      PMCID: PMC4764656          DOI: 10.1523/JNEUROSCI.0052-15.2016

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  62 in total

1.  Voluntary modification of automatic arm movements evoked by motion of a visual target.

Authors:  B L Day; I N Lyon
Journal:  Exp Brain Res       Date:  2000-01       Impact factor: 1.972

2.  Parietal representation of hand velocity in a copy task.

Authors:  Bruno B Averbeck; Matthew V Chafee; David A Crowe; Apostolos P Georgopoulos
Journal:  J Neurophysiol       Date:  2004-07-21       Impact factor: 2.714

Review 3.  Computational mechanisms of sensorimotor control.

Authors:  David W Franklin; Daniel M Wolpert
Journal:  Neuron       Date:  2011-11-03       Impact factor: 17.173

Review 4.  The posterior parietal cortex: sensorimotor interface for the planning and online control of visually guided movements.

Authors:  Christopher A Buneo; Richard A Andersen
Journal:  Neuropsychologia       Date:  2005-11-21       Impact factor: 3.139

5.  Impedance control and internal model use during the initial stage of adaptation to novel dynamics in humans.

Authors:  Theodore E Milner; David W Franklin
Journal:  J Physiol       Date:  2005-06-16       Impact factor: 5.182

6.  Integration of target and effector information in the human brain during reach planning.

Authors:  S M Beurze; F P de Lange; I Toni; W P Medendorp
Journal:  J Neurophysiol       Date:  2006-08-23       Impact factor: 2.714

7.  Time-invariant reference frames for parietal reach activity.

Authors:  Christopher A Buneo; Aaron P Batista; Murray R Jarvis; Richard A Andersen
Journal:  Exp Brain Res       Date:  2008-03-27       Impact factor: 1.972

8.  Cortical networks for control of voluntary arm movements under variable force conditions.

Authors:  D Bullock; P Cisek; S Grossberg
Journal:  Cereb Cortex       Date:  1998 Jan-Feb       Impact factor: 5.357

9.  Cortical networks for visual reaching: physiological and anatomical organization of frontal and parietal lobe arm regions.

Authors:  P B Johnson; S Ferraina; L Bianchi; R Caminiti
Journal:  Cereb Cortex       Date:  1996 Mar-Apr       Impact factor: 5.357

10.  Humans use continuous visual feedback from the hand to control fast reaching movements.

Authors:  Jeffrey A Saunders; David C Knill
Journal:  Exp Brain Res       Date:  2003-08-06       Impact factor: 1.972

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  16 in total

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2.  Highlights from the 28th Annual Meeting of the Society for the Neural Control of Movement.

Authors:  Kevin A Mazurek; Michael Berger; Tejapratap Bollu; Raeed H Chowdhury; Naveen Elangovan; Irene A Kuling; M Hongchul Sohn
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3.  Visual Feedback Processing of the Limb Involves Two Distinct Phases.

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5.  Done in 100 ms: path-dependent visuomotor transformation in the human upper limb.

Authors:  Chao Gu; J Andrew Pruszynski; Paul L Gribble; Brian D Corneil
Journal:  J Neurophysiol       Date:  2017-12-06       Impact factor: 2.714

Review 6.  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

7.  Time-to-Target Simplifies Optimal Control of Visuomotor Feedback Responses.

Authors:  Justinas Česonis; David W Franklin
Journal:  eNeuro       Date:  2020-04-24

8.  Visuomotor Map Determines How Visually Guided Reaching Movements are Corrected Within and Across Trials.

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Journal:  eNeuro       Date:  2016-06-03

9.  When Optimal Feedback Control Is Not Enough: Feedforward Strategies Are Required for Optimal Control with Active Sensing.

Authors:  Sang-Hoon Yeo; David W Franklin; Daniel M Wolpert
Journal:  PLoS Comput Biol       Date:  2016-12-14       Impact factor: 4.475

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

Authors:  Hyosub E Kim; Guy Avraham; Richard B Ivry
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