ArticleScience advances2023
Computational mechanisms underlying latent value updating of unchosen actions.
Article in Science advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Automatic value learning results in counterproductive human behavior.Nature communications · 2026Article
- Computational learning phenotypes are not related to individual differences in resting-state fMRI connectivity.Frontiers in neuroscience · 2026Article
- How working memory and reinforcement learning interact when avoiding punishment and pursuing reward concurrently.Journal of experimental psychology. General · 2025Article
- The more random people's preference judgments are, the more they explore in gambling tasks.BMC psychology · 2024Article
- Flexible gating between subspaces in a neural network model of internally guided task switching.Nature communications · 2024Article
- Flexible gating between subspaces in a neural network model of internally guided task switching.bioRxiv : the preprint server for biology · 2024Article
- Value Estimation versus Effort Mobilization: A General Dissociation between Ventromedial and Dorsomedial Prefrontal Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- From Tripping and Falling to Ruminating and Worrying: A Meta-Control Account of Repetitive Negative Thinking.Current opinion in behavioral sciences · 2024Article
- Cognitive psychology: computing the value of the choices we do not make.Communications psychology · 2024Article
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Current studies suggest that individuals estimate the value of their choices based on observed feedback. Here, we ask whether individuals also update the value of their unchosen actions, even when the associated feedback remains unknown. One hundred seventy-eight individuals completed a multi-armed bandit task, making choices to gain rewards. We found robust evidence suggesting latent value updating of unchosen actions based on the chosen action's outcome. Computational modeling results suggested that this effect is mainly explained by a value updating mechanism whereby individuals integrate the outcome history for choosing an option with that of rejecting the alternative. Properties of the deliberation (i.e., duration/difficulty) did not moderate the latent value updating of unchosen actions, suggesting that memory traces generated during deliberation might take a smaller role in this specific phenomenon than previously thought. We discuss the mechanisms facilitating credit assignment to unchosen actions and their implications for human decision-making.
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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.