Evidence map›Paper›PMID 30005926›Full record

ArticleNeuropsychologia2019

Motivation dynamically increases noise resistance by internal feedback during movement.

Sanjay G Manohar, Kinan Muhammed, Sean J Fallon, Masud Husain

Abstract read
In one paragraph

Article in Neuropsychologia, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Cognitive Control as a Multivariate Optimization Problem.Journal of cognitive neuroscience · 2022
    Article
  13. Rational inattention and tonic dopamine.PLoS computational biology · 2021
    Article
  14. The thermodynamics of cognition: A mathematical treatment.Computational and structural biotechnology journal · 2021
    Article
  15. Article
  16. Review
  17. Article
  18. Selecting and Executing Actions for Rewards.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2020
    Article
  19. Article
  20. Reward-Based Improvements in Motor Control Are Driven by Multiple Error-Reducing Mechanisms.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2020
    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

4 authors.

Sanjay G ManoharNuffield Department of Clinical Neurosciences, John Radcliffe Hospital, University of Oxford, Level 6 West Wing, OX3 9DU, United Kingdom; Department of Experimental Psychology, 15 Parks Road, Oxford, United Kingdom. Electronic address: sanjay.manohar@ndcn.ox.ac.uk.
Kinan MuhammedNuffield Department of Clinical Neurosciences, John Radcliffe Hospital, University of Oxford, Level 6 West Wing, OX3 9DU, United Kingdom.
Sean J FallonDepartment of Experimental Psychology, 15 Parks Road, Oxford, United Kingdom.
Masud HusainNuffield Department of Clinical Neurosciences, John Radcliffe Hospital, University of Oxford, Level 6 West Wing, OX3 9DU, United Kingdom; Department of Experimental Psychology, 15 Parks Road, Oxford, United Kingdom.

Funding

Medical Research Council MR/P00878XMedical Research Council MR/P00878X/1Wellcome Trust 206330/Z/17/Z
6 · The paper itself

Abstract

Motivation improves performance, pushing us beyond our normal limits. One general explanation for this is that the effects of neural noise can be reduced, at a cost. If this were possible, reward would promote investment in resisting noise. But how could the effects of noise be attenuated, and why should this be costly? Negative feedback may be employed to compensate for disturbances in a neural representation. Such feedback would increase the robustness of neural representations to internal signal fluctuations, producing a stable attractor. We propose that encoding this negative feedback in neural signals would incur additional costs proportional to the strength of the feedback signal. We use eye movements to test the hypothesis that motivation by reward improves precision by increasing the strength of internal negative feedback. We find that reward simultaneously increases the amplitude, velocity and endpoint precision of saccades, indicating true improvement in oculomotor performance. Analysis of trajectories demonstrates that variation in the eye position during the course of saccades is predictive of the variation of endpoints, but this relation is reduced by reward. This indicates that motivation permits more aggressive correction of errors during the saccade, so that they no longer affect the endpoint. We suggest that such increases in internal negative feedback allow attractor stability, albeit at a cost, and therefore may explain how motivation improves cognitive as well as motor precision.

Indexed as

RewardSaccadesAdultBrainFeedbackHumansModels, NeurologicalMotivationNeuronsPsychomotor PerformanceYoung AdultCognitive effortEye movementsMotivationNoiseOculomotorOptimal control theoryRewardSaccades

Identifiers

PMID30005926
PMCPMC6363982

What OpenQuestion holds

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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.