ArticleNature communications2018
Multiple timescales of normalized value coding underlie adaptive choice behavior.
Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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Who cites it
30 citing papers in PubMed.
- Article
- Is the Whole the Sum of its Parts? Neural Computation of Consumer Bundle Valuation in Humans.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- The orbitofrontal cortex updates beliefs for state inference.bioRxiv : the preprint server for biology · 2025Article
- Early versus late noise differentially enhances or degrades context-dependent choice.Nature communications · 2025Article
- Computational and Neural Evidence for Altered Fast and Slow Learning from Losses in Problem Gambling.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Article
- Neural timescales reflect behavioral demands in freely moving rhesus macaques.Nature communications · 2024Article
- Electrophysiological population dynamics reveal context dependencies during decision making in human frontal cortex.Nature communications · 2023Article
- Training diversity promotes absolute-value-guided choice.PLoS computational biology · 2022Article
- Efficiently irrational: deciphering the riddle of human choice.Trends in cognitive sciences · 2022Review
- Decision neuroscience and neuroeconomics: Recent progress and ongoing challenges.Wiley interdisciplinary reviews. Cognitive science · 2022Review
- Performance-gated deliberation: A context-adapted strategy in which urgency is opportunity cost.PLoS computational biology · 2022Article
- Article
- High-value decisions are fast and accurate, inconsistent with diminishing value sensitivity.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Learning as filtering: Implications for spike-based plasticity.PLoS computational biology · 2022Article
- Foraging with the frontal cortex: A cross-species evaluation of reward-guided behavior.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2022Review
- Rational regulation of water-seeking effort in rodents.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Range-Adaptive Value Representation in Different Stages of Schizophrenia: A Proof of Concept Study.Schizophrenia bulletin · 2021Article
- Timescales of Cognition in the Brain.Current opinion in behavioral sciences · 2021Article
- Context-sensitive valuation and learning.Current opinion in behavioral sciences · 2021Article
Corrections and comments
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Authors and funding
3 authors.
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Abstract
Adaptation is a fundamental process crucial for the efficient coding of sensory information. Recent evidence suggests that similar coding principles operate in decision-related brain areas, where neural value coding adapts to recent reward history. However, the circuit mechanism for value adaptation is unknown, and the link between changes in adaptive value coding and choice behavior is unclear. Here we show that choice behavior in nonhuman primates varies with the statistics of recent rewards. Consistent with efficient coding theory, decision-making shows increased choice sensitivity in lower variance reward environments. Both the average adaptation effect and across-session variability are explained by a novel multiple timescale dynamical model of value representation implementing divisive normalization. The model predicts empirical variance-driven changes in behavior despite having no explicit knowledge of environmental statistics, suggesting that distributional characteristics can be captured by dynamic model architectures. These findings highlight the importance of treating decision-making as a dynamic process and the role of normalization as a unifying computation for contextual phenomena in choice.
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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.