ArticleeLife2021
Response-based outcome predictions and confidence regulate feedback processing and learning.
Article in eLife, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.
What it found
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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
28 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The Role of the Human Cerebellum for Learning from and Processing of External Feedback in Non-Motor Learning: A Systematic Review.Cerebellum (London, England) · 2024Pooled it
- Striatal Prediction Error Tracking Moderates the Influence of Social Exposure on Adolescent Substance Use Curiosity.Human brain mapping · 2026Article
- Macaque Area LIP Reflects Confidence-Dependent Changes in Decision Policy.bioRxiv : the preprint server for biology · 2026Article
- Modulation of feedback-related negativity by objective and subjective response correctness.Scientific reports · 2026Article
- OCD Compulsions as Aberrant Integration of Uncertainty from Local Goals to Global Goals.Computational psychiatry (Cambridge, Mass.) · 2026Article
- Sensorimotor confidence during explicit motor adaptation.bioRxiv : the preprint server for biology · 2025Article
- How disconfirmatory evidence shapes confidence in decision-making.Communications psychology · 2025Article
- Separable neural signals for reward and emotion prediction errors.Nature communications · 2025Article
- The strength of confidence is involved in controlling the intensity of attentional allocation.Scientific reports · 2025Article
- Considering What We Know and What We Don't Know: Expectations and Confidence Guide Value Integration in Value-Based Decision-Making.Open mind : discoveries in cognitive science · 2025Article
- Multifaceted confidence in exploratory choice.PloS one · 2025Article
- Neurophysiology of Effortful Listening: Decoupling Motivational Modulation from Task Demands.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- The unique role of anosognosia in the clinical progression of Alzheimer's disease: a disorder-network perspective.Communications biology · 2024Review
- A low-dimensional approximation of optimal confidence.PLoS computational biology · 2024Article
- Distinct basal ganglia contributions to learning from implicit and explicit value signals in perceptual decision-making.Nature communications · 2024Article
- Modelling cognitive flexibility with deep neural networks.Current opinion in behavioral sciences · 2024Article
- Microgravity induces overconfidence in perceptual decision-making.Scientific reports · 2023Article
- Feeling lucky? Prospective and retrospective cues for sensorimotor confidence.PLoS computational biology · 2023Article
- Modulation of Motor Vigor by Expectation of Reward Probability Trial-by-Trial Is Preserved in Healthy Ageing and Parkinson's Disease Patients.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023Article
- Learning when effort matters: neural dynamics underlying updating and adaptation to changes in performance efficacy.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Influential theories emphasize the importance of predictions in learning: we learn from feedback to the extent that it is surprising, and thus conveys new information. Here, we explore the hypothesis that surprise depends not only on comparing current events to past experience, but also on online evaluation of performance via internal monitoring. Specifically, we propose that people leverage insights from response-based performance monitoring - outcome predictions and confidence - to control learning from feedback. In line with predictions from a Bayesian inference model, we find that people who are better at calibrating their confidence to the precision of their outcome predictions learn more quickly. Further in line with our proposal, EEG signatures of feedback processing are sensitive to the accuracy of, and confidence in, post-response outcome predictions. Taken together, our results suggest that online predictions and confidence serve to calibrate neural error signals to improve the efficiency of learning.
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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.