ArticleNature communications2024
Confidence control for efficient behaviour in dynamic environments.
Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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Who cites it
10 citing papers in PubMed.
- Towards an integrative neuroscience of metacognition.Nature reviews. Neuroscience · 2026Review
- Can Systematic Drift Rate Variability Replace Random Variability in the Diffusion Decision Model?Computational brain & behavior · 2026Article
- Macaque Area LIP Reflects Confidence-Dependent Changes in Decision Policy.bioRxiv : the preprint server for biology · 2026Article
- CoSuBio: Confidence and success dataset based on multimodal biosignals.Data in brief · 2026Article
- Neural basis of concurrent deliberation toward a choice and confidence judgment.Nature neuroscience · 2026Article
- Designing Neural Dynamics: From Digital Twin Modeling to Regeneration.International journal of molecular sciences · 2025Review
- No Central Executive? Decision Formation Through Multi-Area Population Dynamics.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Review
- The metacognitive paradox of OCD: confidence is globally reduced but shows increased sensitivity to local evidence.Research square · 2025Article
- Computational and Neuronal Basis of Visual Confidence.Annual review of vision science · 2025Review
- Neural basis of concurrent deliberation toward a choice and confidence judgment.bioRxiv : the preprint server for biology · 2025Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Signatures of confidence emerge during decision-making, implying confidence may be of functional importance to decision processes themselves. We formulate an extension of sequential sampling models of decision-making in which confidence is used online to actively moderate the quality and quantity of evidence accumulated for decisions. The benefit of this model is that it can respond to dynamic changes in sensory evidence quality. We highlight this feature by designing a dynamic sensory environment where evidence quality can be smoothly adapted within the timeframe of a single decision. Our model with confidence control offers a superior description of human behaviour in this environment, compared to sequential sampling models without confidence control. Using multivariate decoding of electroencephalography (EEG), we uncover EEG correlates of the model's latent processes, and show stronger EEG-derived confidence control is associated with faster, more accurate decisions. These results support a neurobiologically plausible framework featuring confidence as an active control mechanism for improving behavioural efficiency.
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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.