ArticlePLoS computational biology2017
Dissociating error-based and reinforcement-based loss functions during sensorimotor learning.
Article in PLoS computational biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.
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42 citing papers in PubMed, 99 citations in OpenAlex.
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- Online Movements Reflect Ongoing Deliberation.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
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- Success-efficient/failure-safe strategy for hierarchical reinforcement motor learning.PLoS computational biology · 2025Article
- Exploration-based learning of a stabilizing controller predicts locomotor adaptation.Nature communications · 2024Article
- Roles and interplay of reinforcement-based and error-based processes during reaching and gait in neurotypical adults and individuals with Parkinson's disease.PLoS computational biology · 2024Article
- Human motor learning dynamics in high-dimensional tasks.PLoS computational biology · 2024Article
- Reinforcement Motor Learning After Cerebellar Damage Is Related to State Estimation.Cerebellum (London, England) · 2024Article
- Punishment Leads to Greater Sensorimotor Learning But Less Movement Variability Compared to Reward.Neuroscience · 2024Article
- Reinforcement Learning during Locomotion.eNeuro · 2024Article
- Oculomotor behavior can be adjusted on the basis of artificial feedback signals indicating externally caused errors.PloS one · 2024Article
- Reinforcement-based processes actively regulate motor exploration along redundant solution manifolds.Proceedings. Biological sciences · 2023Article
- Exploring the role of task success in implicit motor adaptation.Journal of neurophysiology · 2023Article
- Exploring the role of task success in implicit motor adaptation.bioRxiv : the preprint server for biology · 2023Article
- Exercising choice over feedback schedules during practice is not advantageous for motor learning.Psychonomic bulletin & review · 2023Article
- The sensorimotor system modulates muscular co-contraction relative to visuomotor feedback responses to regulate movement variability.Journal of neurophysiology · 2023Article
- Shaping Exploration: How Does the Constraint-Induced Movement Therapy Helps Patients Finding a New Movement Solution.Journal of functional morphology and kinesiology · 2022Article
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
It has been proposed that the sensorimotor system uses a loss (cost) function to evaluate potential movements in the presence of random noise. Here we test this idea in the context of both error-based and reinforcement-based learning. In a reaching task, we laterally shifted a cursor relative to true hand position using a skewed probability distribution. This skewed probability distribution had its mean and mode separated, allowing us to dissociate the optimal predictions of an error-based loss function (corresponding to the mean of the lateral shifts) and a reinforcement-based loss function (corresponding to the mode). We then examined how the sensorimotor system uses error feedback and reinforcement feedback, in isolation and combination, when deciding where to aim the hand during a reach. We found that participants compensated differently to the same skewed lateral shift distribution depending on the form of feedback they received. When provided with error feedback, participants compensated based on the mean of the skewed noise. When provided with reinforcement feedback, participants compensated based on the mode. Participants receiving both error and reinforcement feedback continued to compensate based on the mean while repeatedly missing the target, despite receiving auditory, visual and monetary reinforcement feedback that rewarded hitting the target. Our work shows that reinforcement-based and error-based learning are separable and can occur independently. Further, when error and reinforcement feedback are in conflict, the sensorimotor system heavily weights error feedback over reinforcement feedback.
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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.