ReviewCurrent opinion in behavioral sciences2021
Representations of uncertainty: where art thou?
Review in Current opinion in behavioral sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 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
24 citing papers in PubMed, 58 citations in OpenAlex.
- Human learning of probability distributions is biased toward moderate structural complexity.Nature communications · 2026Article
- Combining sampling and attractor dynamics in spiking models of head direction systems.PLoS computational biology · 2026Article
- Active Sensing Subserves Task-Level Control.ArXiv · 2026Article
- Are we ready to tackle perceptual segmentation of natural scenes?Vision research · 2026Review
- Neural variability in the default mode network compresses with increasing belief precision during Bayesian inference.Cerebral cortex (New York, N.Y. : 1991) · 2025Article
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- Article
- A task-invariant prior explains trial-by-trial active avoidance behaviour across gain and loss tasks.Communications psychology · 2025Article
- Antifragile control systems in neuronal processing: a sensorimotor perspective.Biological cybernetics · 2025Review
- Article
- Confidence and second-order errors in cortical circuits.PNAS nexus · 2024Article
- Temporal stability of Bayesian belief updating in perceptual decision-making.Behavior research methods · 2024Article
- Human navigation strategies and their errors result from dynamic interactions of spatial uncertainties.Nature communications · 2024Article
- How does the primate brain combine generative and discriminative computations in vision?ArXiv · 2024Article
- Are we really Bayesian? Probabilistic inference shows sub-optimal knowledge transfer.PLoS computational biology · 2024Article
- Bayesian encoding and decoding as distinct perspectives on neural coding.Nature neuroscience · 2023Review
- Studying the neural representations of uncertainty.Nature neuroscience · 2023Review
- Long- and short-term history effects in a spiking network model of statistical learning.Scientific reports · 2023Article
- Synaptic weights that correlate with presynaptic selectivity increase decoding performance.PLoS computational biology · 2023Article
- Contextual inference in learning and memory.Trends in cognitive sciences · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
Perception is often described as probabilistic inference requiring an internal representation of uncertainty. However, it is unknown whether uncertainty is represented in a task-dependent manner, solely at the level of decisions, or in a fully Bayesian manner, across the entire perceptual pathway. To address this question, we first codify and evaluate the possible strategies the brain might use to represent uncertainty, and highlight the normative advantages of fully Bayesian representations. In such representations, uncertainty information is explicitly represented at all stages of processing, including early sensory areas, allowing for flexible and efficient computations in a wide variety of situations. Next, we critically review neural and behavioral evidence about the representation of uncertainty in the brain agreeing with fully Bayesian representations. We argue that sufficient behavioral evidence for fully Bayesian representations is lacking and suggest experimental approaches for demonstrating the existence of multivariate posterior distributions along the perceptual pathway.
Identifiers
What 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.