ArticleNature neuroscience2024
A neural mechanism for conserved value computations integrating information and rewards.
Article in Nature neuroscience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed.
- Moral and perceptual conflict processing are implemented by distinct brain activation and functional connectivity patterns.PLoS biology · 2026Article
- Representations of the intrinsic value of information in mouse orbitofrontal cortex.Nature neuroscience · 2026Article
- Interpretable abstractions of artificial neural networks predict behavior and neural activity during human information gathering.Nature neuroscience · 2026Article
- Article
- Exerting effort for non-instrumental information under risk.Scientific reports · 2026Article
- Lateral habenula and periaqueductal gray neurons signal reward prediction error and continuity of reward expectancy to drive reward-seeking behavior.Cell reports · 2026Article
- Activity in human dorsal raphe nucleus signals changes in behavioural policy.Nature communications · 2026Article
- Modeling information demand in the framework of probabilistic reasoning.Communications psychology · 2026Article
- Novelty as a drive of human exploration in complex stochastic environments.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Higher-order and distributed synergistic functional interactions encode information gain in goal-directed learning.Nature communications · 2025Article
- Dorsal raphe nucleus controls motivation-state transitions in monkeys.Science advances · 2025Article
- Do goldfish like to be informed?Proceedings. Biological sciences · 2025Article
- Biased information-seeking and information-integration in social anxiety.Current opinion in psychology · 2025Review
- To know or not to know? Curiosity and the value of prospective information in animals.Learning & behavior · 2025Review
- Periaqueductal gray passes over disappointment and signals continuity of remaining reward expectancy.Research square · 2025Article
- A distributed subcortical circuit linked to instrumental information-seeking about threat.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Representation of Anticipated Rewards and Punishments in the Human Brain.Annual review of psychology · 2025Review
- Periaqueductal gray passes over disappointment and signals continuity of remaining reward expectancy.bioRxiv : the preprint server for biology · 2024Article
- Temporal context effects on suboptimal choice.Psychonomic bulletin & review · 2024Article
- The effect of noninstrumental information on reward learning.Memory & cognition · 2024Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Behavioral and economic theory dictate that we decide between options based on their values. However, humans and animals eagerly seek information about uncertain future rewards, even when this does not provide any objective value. This implies that decisions are made by endowing information with subjective value and integrating it with the value of extrinsic rewards, but the mechanism is unknown. Here, we show that human and monkey value judgements obey strikingly conserved computational principles during multi-attribute decisions trading off information and extrinsic reward. We then identify a neural substrate in a highly conserved ancient structure, the lateral habenula (LHb). LHb neurons signal subjective value, integrating information's value with extrinsic rewards, and the LHb predicts and causally influences ongoing decisions. Neurons in key input areas to the LHb largely signal components of these computations, not integrated value signals. Thus, our data uncover neural mechanisms of conserved computations underlying decisions to seek information about the future.
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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 Socratic graph.