ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2016
Variability in Dopamine Genes Dissociates Model-Based and Model-Free Reinforcement Learning.
Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.
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Who cites it
48 citing papers in PubMed, 119 citations in OpenAlex.
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- Decrease in decision noise from adolescence into adulthood mediates an increase in more sophisticated choice behaviors and performance gain.PLoS biology · 2024Article
- Model-free decision-making underlies motor errors in rapid sequential movements under threat.Communications psychology · 2024Article
- Rethinking model-based and model-free influences on mental effort and striatal prediction errors.Nature human behaviour · 2023Article
- Quantifying aberrant approach-avoidance conflict in psychopathology: A review of computational approaches.Neuroscience and biobehavioral reviews · 2023Review
- Cortical Grey Matter Mediates Increases in Model-Based Control and Learning from Positive Feedback from Adolescence to Adulthood.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023Article
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- Model-based learning retrospectively updates model-free values.Scientific reports · 2022Article
- Value estimation and latent-state update-related neural activity during fear conditioning predict posttraumatic stress disorder symptom severity.Cognitive, affective & behavioral neuroscience · 2022Article
- Increased and biased deliberation in social anxiety.Nature human behaviour · 2022Article
- Training a spiking neuronal network model of visual-motor cortex to play a virtual racket-ball game using reinforcement learning.PloS one · 2022Article
- Dopamine enhances model-free credit assignment through boosting of retrospective model-based inference.eLife · 2021Article
- Distinct roles for dopamine clearance mechanisms in regulating behavioral flexibility.Molecular psychiatry · 2021Article
- Is impaired dopaminergic function associated with mobility capacity in older adults?GeroScience · 2021Article
- What is dopamine doing in model-based reinforcement learning?Current opinion in behavioral sciences · 2021Article
- The Anterior Cingulate Cortex Predicts Future States to Mediate Model-Based Action Selection.Neuron · 2021Article
- The Straw That Broke the Camel's Back: Natural Variations in 17β-Estradiol and COMT-Val158Met Genotype Interact in the Modulation of Model-Free and Model-Based Control.Frontiers in behavioral neuroscience · 2021Article
- Reliance on model-based and model-free control in obesity.Scientific reports · 2020Article
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4 authors at 3 institutions in 1 country.
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Abstract
Considerable evidence suggests that multiple learning systems can drive behavior. Choice can proceed reflexively from previous actions and their associated outcomes, as captured by "model-free" learning algorithms, or flexibly from prospective consideration of outcomes that might occur, as captured by "model-based" learning algorithms. However, differential contributions of dopamine to these systems are poorly understood. Dopamine is widely thought to support model-free learning by modulating plasticity in striatum. Model-based learning may also be affected by these striatal effects, or by other dopaminergic effects elsewhere, notably on prefrontal working memory function. Indeed, prominent demonstrations linking striatal dopamine to putatively model-free learning did not rule out model-based effects, whereas other studies have reported dopaminergic modulation of verifiably model-based learning, but without distinguishing a prefrontal versus striatal locus. To clarify the relationships between dopamine, neural systems, and learning strategies, we combine a genetic association approach in humans with two well-studied reinforcement learning tasks: one isolating model-based from model-free behavior and the other sensitive to key aspects of striatal plasticity. Prefrontal function was indexed by a polymorphism in the COMT gene, differences of which reflect dopamine levels in the prefrontal cortex. This polymorphism has been associated with differences in prefrontal activity and working memory. Striatal function was indexed by a gene coding for DARPP-32, which is densely expressed in the striatum where it is necessary for synaptic plasticity. We found evidence for our hypothesis that variations in prefrontal dopamine relate to model-based learning, whereas variations in striatal dopamine function relate to model-free learning. SIGNIFICANCE STATEMENT: Decisions can stem reflexively from their previously associated outcomes or flexibly from deliberative consideration of potential choice outcomes. Research implicates a dopamine-dependent striatal learning mechanism in the former type of choice. Although recent work has indicated that dopamine is also involved in flexible, goal-directed decision-making, it remains unclear whether it also contributes via striatum or via the dopamine-dependent working memory function of prefrontal cortex. We examined genetic indices of dopamine function in these regions and their relation to the two choice strategies. We found that striatal dopamine function related most clearly to the reflexive strategy, as previously shown, and that prefrontal dopamine related most clearly to the flexible strategy. These findings suggest that dissociable brain regions support dissociable choice strategies.
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