ArticleJournal of vision2019
Did I do that? Detecting a perturbation to visual feedback in a reaching task.
Article in Journal of vision, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Dissociating the behavioral and computational features of implicit motor learning and explicit perturbation detection.bioRxiv : the preprint server for biology · 2026Article
- Implicit adaptation's effect on sensorimotor and motor confidence.bioRxiv : the preprint server for biology · 2025Article
- Involvement of Perimovement Neural Beta-Oscillations in Strategic Aiming for Motor Adaptation.The European journal of neuroscience · 2025Article
- Causal inference, prediction and state estimation in sensorimotor learning.Proceedings. Biological sciences · 2025Article
- Sensorimotor adaptation impedes perturbation detection in grasping.Psychonomic bulletin & review · 2025Article
- Implicit reward-based motor learning.Experimental brain research · 2023Article
- Implicit reward-based motor learning.bioRxiv : the preprint server for biology · 2023Article
- Feeling lucky? Prospective and retrospective cues for sensorimotor confidence.PLoS computational biology · 2023Article
- Understanding implicit sensorimotor adaptation as a process of proprioceptive re-alignment.eLife · 2022Article
- Changes in error-correction behavior according to visuomotor maps in goal-directed projection tasks.Journal of neurophysiology · 2022Article
- Assessing explicit strategies in force field adaptation.Journal of neurophysiology · 2020Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
The motor system executes actions in a highly stereotyped manner despite the high number of degrees of freedom available. Studies of motor adaptation leverage this fact by disrupting, or perturbing, visual feedback to measure how the motor system compensates. To elicit detectable effects, perturbations are often large compared to trial-to-trial reach endpoint variability. However, awareness of large perturbations can elicit qualitatively different compensation processes than unnoticeable ones can. The current experiment measures the perturbation detection threshold, and investigates how humans combine proprioception and vision to decide whether displayed reach endpoint errors are self-generated only, or are due to experimenter-imposed perturbation. We scaled or rotated the position of the visual feedback of center-out reaches to targets and asked subjects to indicate whether visual feedback was perturbed. Subjects detected perturbations when they were at least 1.5 times the standard deviation of trial-to-trial endpoint variability. In contrast to previous studies, subjects suboptimally combined vision and proprioception. Instead of using proprioceptive input, they responded based on the final (possibly perturbed) visual feedback. These results inform methodology in motor system experimentation, and more broadly highlight the ability to attribute errors to one's own motor output and combine visual and proprioceptive feedback to make decisions.
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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.