ArticleCognitive, affective & behavioral neuroscience2017
Electrophysiological correlates reflect the integration of model-based and model-free decision information.
Article in Cognitive, affective & behavioral neuroscience, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Dissecting the interplay of model-based control, impulsivity and compulsivity on self-control in daily life.Scientific reports · 2026Article
- Distributional dual-process model predicts strategic shifts in decision-making under uncertainty.Communications psychology · 2025Article
- On the effects of impulsivity and compulsivity on neural correlates of model-based performance.Scientific reports · 2024Article
- Shorter planning depth and higher response noise during sequential decision-making in old age.Scientific reports · 2023Article
- The potential application of event-related potentials to enhance research on reward processes in eating disorders.The International journal of eating disorders · 2022Review
- Model-based learning retrospectively updates model-free values.Scientific reports · 2022Article
- Model-Based Planning Deficits in Compulsivity Are Linked to Faulty Neural Representations of Task Structure.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021Article
- Article
- The influence of internal models on feedback-related brain activity.Cognitive, affective & behavioral neuroscience · 2020Article
- Alcohol Hangover Does Not Alter the Application of Model-Based and Model-Free Learning Strategies.Journal of clinical medicine · 2020Article
- Age-related variability in decision-making: Insights from neurochemistry.Cognitive, affective & behavioral neuroscience · 2019Review
- Developmental Changes in Learning: Computational Mechanisms and Social Influences.Frontiers in psychology · 2017Review
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this study, we investigated the interplay of habitual (model-free) and goal-directed (model-based) decision processes by using a two-stage Markov decision task in combination with event-related potentials (ERPs) and computational modeling. To manipulate the demands on model-based decision making, we applied two experimental conditions with different probabilities of transitioning from the first to the second stage of the task. As we expected, when the stage transitions were more predictable, participants showed greater model-based (planning) behavior. Consistent with this result, we found that stimulus-evoked parietal (P300) activity at the second stage of the task increased with the predictability of the state transitions. However, the parietal activity also reflected model-free information about the expected values of the stimuli, indicating that at this stage of the task both types of information are integrated to guide decision making. Outcome-related ERP components only reflected reward-related processes: Specifically, a medial prefrontal ERP component (the feedback-related negativity) was sensitive to negative outcomes, whereas a component that is elicited by reward (the feedback-related positivity) increased as a function of positive prediction errors. Taken together, our data indicate that stimulus-locked parietal activity reflects the integration of model-based and model-free information during decision making, whereas feedback-related medial prefrontal signals primarily reflect reward-related decision processes.
Indexed as
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Registered trials
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.