ArticleNature communications2023
Natural statistics support a rational account of confidence biases.
Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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.
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Who cites it
15 citing papers in PubMed.
- Towards an integrative neuroscience of metacognition.Nature reviews. Neuroscience · 2026Review
- Observer effect modulates classification in a quantum epistemic framework.Scientific reports · 2026Article
- Confidence in naturalistic decision making.Neuroscience of consciousness · 2026Article
- Physicians' metacognition in medical decision-making.Neuroscience of consciousness · 2026Article
- Confidence Is Detection-Like in High-Dimensional Spaces.Open mind : discoveries in cognitive science · 2026Article
- Using artificial neural networks to reveal the human confidence computation.PLoS computational biology · 2025Article
- How disconfirmatory evidence shapes confidence in decision-making.Communications psychology · 2025Article
- Computational and Neuronal Basis of Visual Confidence.Annual review of vision science · 2025Review
- A Comprehensive Drift-Adaptive Framework for Sustaining Model Performance in COVID-19 Detection From Dynamic Cough Audio Data: Model Development and Validation.Journal of medical Internet research · 2025Article
- A novel behavioral paradigm reveals the nature of confidence computation in multi-alternative perceptual decision making.Research square · 2024Article
- Human-like dissociations between confidence and accuracy in convolutional neural networks.PLoS computational biology · 2024Article
- Pharmacological Elevation of Catecholamine Levels Improves Perceptual Decisions, But Not Metacognitive Insight.eNeuro · 2024Article
- Human-like dissociations between confidence and accuracy in convolutional neural networks.bioRxiv : the preprint server for biology · 2024Article
- Reflexivity gradient-Consciousness knowing itself.Frontiers in psychology · 2024Review
- Toward 'Computational-Rationality' Approaches to Arbitrating Models of Cognition: A Case Study Using Perceptual Metacognition.Open mind : discoveries in cognitive science · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Previous work has sought to understand decision confidence as a prediction of the probability that a decision will be correct, leading to debate over whether these predictions are optimal, and whether they rely on the same decision variable as decisions themselves. This work has generally relied on idealized, low-dimensional models, necessitating strong assumptions about the representations over which confidence is computed. To address this, we used deep neural networks to develop a model of decision confidence that operates directly over high-dimensional, naturalistic stimuli. The model accounts for a number of puzzling dissociations between decisions and confidence, reveals a rational explanation of these dissociations in terms of optimization for the statistics of sensory inputs, and makes the surprising prediction that, despite these dissociations, decisions and confidence depend on a common decision variable.
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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.