ArticleJournal of neurophysiology2017
Using noise to shape motor learning.
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 20 papers.
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.
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.
Who cites it
20 citing papers in PubMed.
- An explicit strategy facilitates adaptation to virtual surgeries by biasing the recruitment of existing synergies.iScience · 2026Article
- Extrinsic variability but not intrinsic variability affects the search for synergies in de-novo motor learning.Scientific reports · 2025Article
- Predictions of bimanual self-touch determine the temporal tuning of somatosensory perception.iScience · 2025Article
- Cortical drive may facilitate enhanced use of the paretic leg induced by random constraint force to the non-paretic leg during walking in chronic stroke.Experimental brain research · 2024Article
- Floating Ball Voice Therapy: Preliminary Effects on Outcomes and Predicting Individual Patient Differences in Generalization.Journal of speech, language, and hearing research : JSLHR · 2024Article
- Designing and Analyzing In-Place Motor Tasks in Virtual Reality With Goal Functions.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2024Article
- Interaction between decision-making and motor learning when selecting reach targets in the presence of bias and noise.PLoS computational biology · 2023Article
- Directed information flow during laparoscopic surgical skill acquisition dissociated skill level and medical simulation technology.NPJ science of learning · 2022Article
- A Hessian-based decomposition characterizes how performance in complex motor skills depends on individual strategy and variability.PloS one · 2021Observational
- A Framework for Optimizing Co-adaptation in Body-Machine Interfaces.Frontiers in neurorobotics · 2021Article
- A tale of too many tasks: task fragmentation in motor learning and a call for model task paradigms.Experimental brain research · 2021Review
- Guiding functional reorganization of motor redundancy using a body-machine interface.Journal of neuroengineering and rehabilitation · 2020Article
- Exploring disturbance as a force for good in motor learning.PloS one · 2020Article
- The dynamics of motor learning through the formation of internal models.PLoS computational biology · 2019Article
- Learning and transfer of complex motor skills in virtual reality: a perspective review.Journal of neuroengineering and rehabilitation · 2019Review
- Development of an EMG-Controlled Serious Game for Rehabilitation.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2019Article
- Conventional analysis of trial-by-trial adaptation is biased: Empirical and theoretical support using a Bayesian estimator.PLoS computational biology · 2018Article
- Reshaping Movement Distributions With Limit-Push Robotic Training.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2018Article
- Learning alternative movement coordination patterns using reinforcement feedback.Experimental brain research · 2018Article
- It's Not (Only) the Mean that Matters: Variability, Noise and Exploration in Skill Learning.Current opinion in behavioral sciences · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Each of our movements is selected from any number of alternative movements. Some studies have shown evidence that the central nervous system (CNS) chooses to make the specific movements that are least affected by motor noise. Previous results showing that the CNS has a natural tendency to minimize the effects of noise make the direct prediction that if the relationship between movements and noise were to change, the specific movements people learn to make would also change in a predictable manner. Indeed, this has been shown for well-practiced movements such as reaching. Here, we artificially manipulated the relationship between movements and visuomotor noise by adding noise to a motor task in a novel redundant geometry such that there arose a single control policy that minimized the noise. This allowed us to see whether, for a novel motor task, people could learn the specific control policy that minimized noise or would need to employ other compensation strategies to overcome the added noise. As predicted, subjects were able to learn movements that were biased toward the specific ones that minimized the noise, suggesting not only that the CNS can learn to minimize the effects of noise in a novel motor task but also that artificial visuomotor noise can be a useful tool for teaching people to make specific movements. Using noise as a teaching signal promises to be useful for rehabilitative therapies and movement training with human-machine interfaces. NEW & NOTEWORTHY: Many theories argue that we choose to make the specific movements that minimize motor noise. Here, by changing the relationship between movements and noise, we show that people actively learn to make movements that minimize noise. This not only provides direct evidence for the theories of noise minimization but presents a way to use noise to teach specific movements to improve rehabilitative therapies and human-machine interface control.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.