ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2019
Robust Control in Human Reaching Movements: A Model-Free Strategy to Compensate for Unpredictable Disturbances.
Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.
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Who cites it
35 citing papers in PubMed.
- Trial
- Human Steering Control Under Unpredictable Disturbances.The European journal of neuroscience · 2026Article
- Large reaching datasets quantify the impact of age, sex/gender, and experience on motor control.Communications psychology · 2026Article
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- Article
- Increased muscle coactivation is linked with fast feedback control when reaching in unpredictable visual environments.iScience · 2024Article
- Co-contraction embodies uncertainty: An optimal feedforward strategy for robust motor control.PLoS computational biology · 2024Article
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- Inferring control objectives in a virtual balancing task in humans and monkeys.bioRxiv : the preprint server for biology · 2023Article
- Continuous evaluation of cost-to-go for flexible reaching control and online decisions.PLoS computational biology · 2023Article
- Article
- The nervous system tunes sensorimotor gains when reaching in variable mechanical environments.iScience · 2023Article
- Body Mechanics, Optimality, and Sensory Feedback in the Human Control of Complex Objects.Neural computation · 2023Article
- The sensorimotor system modulates muscular co-contraction relative to visuomotor feedback responses to regulate movement variability.Journal of neurophysiology · 2023Article
- Proprioceptive and Visual Feedback Responses in Macaques Exploit Goal Redundancy.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023Article
- Distinct adaptation processes underlie multidigit force coordination for dexterous manipulation.Journal of neurophysiology · 2023Article
- Article
- Separability of Human Motor Memories during reaching adaptation with force cues.PLoS computational biology · 2022Article
- An approximate stochastic optimal control framework to simulate nonlinear neuro-musculoskeletal models in the presence of noise.PLoS computational biology · 2022Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Current models of motor learning suggest that multiple timescales support adaptation to changes in visual or mechanical properties of the environment. These models capture patterns of learning and memory across a broad range of tasks, yet do not consider the possibility that rapid changes in behavior may occur without adaptation. Such changes in behavior may be desirable when facing transient disturbances, or when unpredictable changes in visual or mechanical properties of the task make it difficult to form an accurate model of the perturbation. Whether humans can modulate control strategies without an accurate model of the perturbation remains unknown. Here we frame this question in the context of robust control (
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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.