ReviewNature neuroscience2023
Studying the neural representations of uncertainty.
Review in Nature neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 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.
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.
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Who cites it
27 citing papers in PubMed.
- Towards an integrative neuroscience of metacognition.Nature reviews. Neuroscience · 2026Review
- A shared multi-feature population code for sensory reliability across mouse visual cortex.bioRxiv : the preprint server for biology · 2026Article
- Active Sensing Subserves Task-Level Control.ArXiv · 2026Article
- Clarifying the conceptual dimensions of representation in neuroscience.Nature reviews. Neuroscience · 2026Review
- Dynamic expectation strength and precision shape human pain perception through shared and dissociable α-oscillatory mechanisms.PLoS biology · 2026Article
- Cortical deviance detection represents a canonical difference signal.bioRxiv : the preprint server for biology · 2026Article
- A non-monotonic code for event probability in the human brain.Nature communications · 2025Article
- The neural basis for uncertainty processing in hierarchical decision making.Nature communications · 2025Article
- Neural variability in the default mode network compresses with increasing belief precision during Bayesian inference.Cerebral cortex (New York, N.Y. : 1991) · 2025Article
- Adaptive reward representations integrate expected uncertainty signals in orbitofrontal cortex.Science advances · 2025Article
- Article
- Uncertainty, Not Mental Content, Drives Dorsomedial Prefrontal Engagement during Inferences about Others.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Humans use underestimates of auditory spatial and temporal uncertainty for perceptual inference.Proceedings. Biological sciences · 2025Article
- Quantitative dynamics of neural uncertainty in sensory processing and decision-making during discriminative learning.Experimental & molecular medicine · 2025Article
- Article
- The strength of confidence is involved in controlling the intensity of attentional allocation.Scientific reports · 2025Article
- An entropic explanation of insistence on sameness in autism.Frontiers in computational neuroscience · 2025Article
- A neural code supporting prospective probabilistic reasoning for instrumental information demand in humans.Communications biology · 2024Article
- Multiple and subject-specific roles of uncertainty in reward-guided decision-making.bioRxiv : the preprint server for biology · 2024Article
- Confidence and second-order errors in cortical circuits.PNAS nexus · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
The study of the brain's representations of uncertainty is a central topic in neuroscience. Unlike most quantities of which the neural representation is studied, uncertainty is a property of an observer's beliefs about the world, which poses specific methodological challenges. We analyze how the literature on the neural representations of uncertainty addresses those challenges and distinguish between 'code-driven' and 'correlational' approaches. Code-driven approaches make assumptions about the neural code for representing world states and the associated uncertainty. By contrast, correlational approaches search for relationships between uncertainty and neural activity without constraints on the neural representation of the world state that this uncertainty accompanies. To compare these two approaches, we apply several criteria for neural representations: sensitivity, specificity, invariance and functionality. Our analysis reveals that the two approaches lead to different but complementary findings, shaping new research questions and guiding future experiments.
Indexed as
Identifiers
37814025What OpenQuestion holds
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.