Causal Inference Gates Corticostriatal Learning
| Autor: | Samuel J. Gershman, Dennis Clarke, Hayley M. Dorfman, Brent L. Hughes, Bernice Cheung, Momchil S. Tomov |
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| Rok vydání: | 2021 |
| Předmět: |
Male
Adolescent Inferior frontal gyrus Causal structure Young Adult Reward medicine Humans Learning Reinforcement learning Research Articles Adaptive behavior Brain Mapping medicine.diagnostic_test General Neuroscience Ventral striatum Brain Bayes Theorem Magnetic Resonance Imaging medicine.anatomical_structure Causal inference Female Nerve Net Functional magnetic resonance imaging Psychology Reinforcement Psychology Insula Cognitive psychology |
| Zdroj: | J Neurosci |
| ISSN: | 1529-2401 0270-6474 |
| DOI: | 10.1523/jneurosci.2796-20.2021 |
| Popis: | Attributing outcomes to your own actions or to external causes is essential for appropriately learning which actions lead to reward and which actions do not. Our previous work showed that this type of credit assignment is best explained by a Bayesian reinforcement learning model which posits that beliefs about the causal structure of the environment modulate reward prediction errors (RPEs) during action value updating. In this study, we investigated the brain networks underlying reinforcement learning that are influenced by causal beliefs using functional magnetic resonance imaging (fMRI) while human participants (n = 31; 13 males, 18 females) completed a behavioral task that manipulated beliefs about causal structure. We found evidence that RPEs modulated by causal beliefs are represented in dorsal striatum, while standard (unmodulated) RPEs are represented in ventral striatum. Further analyses revealed that beliefs about causal structure are represented in anterior insula and inferior frontal gyrus. Finally, structural equation modeling revealed effective connectivity from anterior insula to dorsal striatum. Together, these results are consistent with a possible neural architecture in which causal beliefs in anterior insula are integrated with prediction error signals in dorsal striatum to update action values. SIGNIFICANCE STATEMENT: Learning which actions lead to reward – a process known as reinforcement learning – is essential for survival. Inferring the causes of observed outcomes – a process known as causal inference – is crucial for appropriately assigning credit to one’s own actions and restricting learning to effective action-outcome contingencies. Previous studies have linked reinforcement learning to the striatum and causal inference to prefrontal regions, yet how these neural processes interact to guide adaptive behavior remains poorly understood. Here, we found evidence that causal beliefs represented in the prefrontal cortex modulate action value updating in posterior striatum, separately from the unmodulated action value update in ventral striatum posited by standard reinforcement learning models. |
| Databáze: | OpenAIRE |
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