ArticleNeurobiology of aging2018
Age affects reinforcement learning through dopamine-based learning imbalance and high decision noise-not through Parkinsonian mechanisms.
Article in Neurobiology of aging, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Intact reinforcement learning in healthy ageing.Experimental brain research · 2025Article
- Exploration-Exploitation Mechanisms in Recurrent Neural Networks and Human Learners in Restless Bandit Problems.Computational brain & behavior · 2024Article
- Simulated synapse loss induces depression-like behaviors in deep reinforcement learning.Frontiers in computational neuroscience · 2024Article
- Memory precision and age differentially predict the use of decision-making strategies across the lifespan.Scientific reports · 2023Article
- Effects of Adult Age and Functioning of the Locus Coeruleus Norepinephrinergic System on Reward-Based Learning.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023Article
- Altered Reinforcement Learning from Reward and Punishment in Anorexia Nervosa: Evidence from Computational Modeling.Journal of the International Neuropsychological Society : JINS · 2022Article
- Deciphering Age Differences in Experience-Based Decision-Making: The Role of Sleep.Nature and science of sleep · 2020Article
- Age-related variability in decision-making: Insights from neurochemistry.Cognitive, affective & behavioral neuroscience · 2019Review
- How age affects reinforcement learning.Aging · 2018Article
- Divergent Effects of Metformin on an Inflammatory Model of Parkinson's Disease.Frontiers in cellular neuroscience · 2018Article
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4 authors.
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Abstract
Probabilistic reinforcement learning declines in healthy cognitive aging. While some findings suggest impairments are especially conspicuous in learning from rewards, resembling deficits in Parkinson's disease, others also show impairments in learning from punishments. To reconcile these findings, we tested 252 adults from 3 age groups on a probabilistic reinforcement learning task, analyzed trial-by-trial performance with a Q-reinforcement learning model, and correlated both fitted model parameters and behavior to polymorphisms in dopamine-related genes. Analyses revealed that learning from both positive and negative feedback declines with age but through different mechanisms: when learning from negative feedback, older adults were slower due to noisy decision-making; when learning from positive feedback, they tended to settle for a nonoptimal solution due to an imbalance in learning from positive and negative prediction errors. The imbalance was associated with polymorphisms in the DARPP-32 gene and appeared to arise from mechanisms different from those previously attributed to Parkinson's disease. Moreover, this imbalance predicted previous findings on aging using the Probabilistic Selection Task, which were misattributed to Parkinsonian mechanisms.
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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.