ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2024
Neural Representation of Valenced and Generic Probability and Uncertainty.
Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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Who cites it
4 citing papers in PubMed.
- Interpretable abstractions of artificial neural networks predict behavior and neural activity during human information gathering.Nature neuroscience · 2026Article
- The Anterior Insula Processes a Time-Resolved Subjective Risk Prediction Error.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Universal Coding for Uncertainty?The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Social Risk Coding by Amygdala Activity and Connectivity with the Dorsal Anterior Cingulate Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Representing the probability and uncertainty of outcomes facilitates adaptive behavior by allowing organisms to prepare in advance and devote attention to relevant events. Probability and uncertainty are often studied only for valenced (appetitive or aversive) outcomes, raising the question of whether the identified neural machinery also processes the probability and uncertainty of motivationally neutral outcomes. Here, we aimed to dissociate valenced from valence-independent (i.e., generic) probability (
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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.