Evidence map›Paper›PMID 28835530›Full record

ArticleJournal of neurophysiology2017

Rapid visuomotor feedback gains are tuned to the task dynamics.

Sae Franklin, Daniel M Wolpert, David W Franklin

Abstract read
In one paragraph

Article in Journal of neurophysiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed.

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  13. Proprioceptive and Visual Feedback Responses in Macaques Exploit Goal Redundancy.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023
    Article
  14. Article
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  18. Visual Feedback Processing of the Limb Involves Two Distinct Phases.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2019
    Article
  19. Gain control in the sensorimotor system.Current opinion in physiology · 2019
    Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Sae FranklinComputational and Biological Learning Laboratory, Department of Engineering, University of Cambridge, Cambridge, United Kingdom.
Daniel M WolpertComputational and Biological Learning Laboratory, Department of Engineering, University of Cambridge, Cambridge, United Kingdom.
David W FranklinComputational and Biological Learning Laboratory, Department of Engineering, University of Cambridge, Cambridge, United Kingdom; david.franklin@tum.de.ORCID 0000-0001-9530-0820

Funding

Wellcome Trust WT091547MAWellcome Trust WT097803MA
6 · The paper itself

Abstract

Adaptation to novel dynamics requires learning a motor memory, or a new pattern of predictive feedforward motor commands. Recently, we demonstrated the upregulation of rapid visuomotor feedback gains early in curl force field learning, which decrease once a predictive motor memory is learned. However, even after learning is complete, these feedback gains are higher than those observed in the null field trials. Interestingly, these upregulated feedback gains in the curl field were not observed in a constant force field. Therefore, we suggest that adaptation also involves selectively tuning the feedback sensitivity of the sensorimotor control system to the environment. Here, we test this hypothesis by measuring the rapid visuomotor feedback gains after subjects adapt to a variety of novel dynamics generated by a robotic manipulandum in three experiments. To probe the feedback gains, we measured the magnitude of the motor response to rapid shifts in the visual location of the hand during reaching. While the feedback gain magnitude remained similar over a larger than a fourfold increase in constant background load, the feedback gains scaled with increasing lateral resistance and increasing instability. The third experiment demonstrated that the feedback gains could also be independently tuned to perturbations to the left and right, depending on the lateral resistance, demonstrating the fractionation of feedback gains to environmental dynamics. Our results show that the sensorimotor control system regulates the gain of the feedback system as part of the adaptation process to novel dynamics, appropriately tuning them to the environment.

Indexed as

Feedback, PhysiologicalPsychomotor PerformanceAdultFemaleHandHumansMaleReaction TimeSensorimotor Cortexadaptationlearningmotor controlreaching movementvisuomotor feedback

Identifiers

PMID28835530
PMCPMC5672538

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.