Causal Inference Gates Corticostriatal Learning

纹状体 强化学习 腹侧纹状体 心理学 动作(物理) 认知心理学 脑岛 钢筋 因果模型 推论 功能磁共振成像 神经科学 因果推理 人工智能 社会心理学 计算机科学 医学 物理 病理 多巴胺 量子力学
作者
Hayley M. Dorfman,Momchil S. Tomov,Bernice Cheung,Dennis Clarke,Samuel J. Gershman,Brent Hughes
出处
期刊:The Journal of Neuroscience [Society for Neuroscience]
卷期号:41 (32): 6892-6904 被引量:10
标识
DOI:10.1523/jneurosci.2796-20.2021
摘要

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 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 one9s 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.
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