ArticleeLife2022
Valence biases in reinforcement learning shift across adolescence and modulate subsequent memory.
Article in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.
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Who cites it
32 citing papers in PubMed.
- Hippocampal-cingulate dynamics in the human brain link reinforcement-learning and memory.bioRxiv : the preprint server for biology · 2026Article
- Assessing the validity and reliability of computational phenotyping of mood.PLoS computational biology · 2026Article
- Article
- Noisy Memory Generates Value in Changing Environments.Adaptive behavior · 2025Article
- Neurocomputational basis of learning when choices simultaneously affect both oneself and others.Nature communications · 2025Article
- Internal uncertainty impacts social information use in risky choice across adolescence.Communications psychology · 2025Article
- Reinforcement learning increasingly relates to memory specificity from childhood to adulthood.Nature communications · 2025Article
- Distorted learning from local metacognition supports transdiagnostic underconfidence.Nature communications · 2025Article
- The preference for surprise in reinforcement learning underlies the differences in developmental changes in risk preference between autistic and neurotypical youth.Molecular autism · 2025Article
- Decrease in decision noise from adolescence into adulthood mediates an increase in more sophisticated choice behaviors and performance gain.PLoS biology · 2024Article
- Revisiting adolescence as a sensitive period for sociocultural processing.Neuroscience and biobehavioral reviews · 2024Review
- Sensitivity to the Instrumental Value of Choice Increases Across Development.Psychological science · 2024Article
- Positive affect modulates memory by regulating the influence of reward prediction errors.Communications psychology · 2024Article
- Ethological computational psychiatry: Challenges and opportunities.Current opinion in neurobiology · 2024Review
- Learning environment-specific learning rates.PLoS computational biology · 2024Article
- The future of metacognition research: Balancing construct breadth with measurement rigor.Cortex; a journal devoted to the study of the nervous system and behavior · 2024Review
- Revisiting the musical reminiscence bump: insights from neurocognitive and social brain development in adolescence.Frontiers in psychology · 2024Article
- Instructed motivational states bias reinforcement learning and memory formation.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Confirmatory reinforcement learning changes with age during adolescence.Developmental science · 2023Article
- Computational Mechanisms of Addiction and Anxiety: A Developmental Perspective.Biological psychiatry · 2023Review
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Authors and funding
3 authors.
Funding
Abstract
As individuals learn through trial and error, some are more influenced by good outcomes, while others weight bad outcomes more heavily. Such valence biases may also influence memory for past experiences. Here, we examined whether valence asymmetries in reinforcement learning change across adolescence, and whether individual learning asymmetries bias the content of subsequent memory. Participants ages 8-27 learned the values of 'point machines,' after which their memory for trial-unique images presented with choice outcomes was assessed. Relative to children and adults, adolescents overweighted worse-than-expected outcomes during learning. Individuals' valence biases modulated incidental memory, such that those who prioritized worse- (or better-) than-expected outcomes during learning were also more likely to remember images paired with these outcomes, an effect reproduced in an independent dataset. Collectively, these results highlight age-related changes in the computation of subjective value and demonstrate that a valence-asymmetric valuation process influences how information is prioritized in episodic memory.
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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.