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Different aspects of performance feedback engage different brain areas: Disentangling valence and expectancy in feedback processing

机译:绩效反馈的不同方面涉及不同的大脑区域:反馈处理中的价和期望值脱节

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摘要

Evaluating the positive and negative outcomes of our behaviour is important for action selection and learning. Such reinforcement learning has been shown to engage a specific neural circuitry including the mesencephalic dopamine system and its target areas, the striatum and medial frontal cortex, especially the anterior cingulate cortex (ACC). An intensively pursued debate regards the prevailing influence of feedback expectancy and feedback valence on the engagement of these two brain regions in reinforcement learning and their respective roles are far from being understood. To this end, we used a time estimation task with three different types of feedback that allows disentangling the effect of feedback valence and expectancy using functional magnetic resonance imaging (fMRI). Our results show greater ACC activation after unexpected positive and unexpected negative feedback than after expected feedback and by this sensitivity to unexpected events in general irrespective of their valence.
机译:评估我们行为的正面和负面结果对于行动选择和学习很重要。这种强化学习已显示出参与特定的神经回路,包括中脑多巴胺系统及其靶区域,纹状体和内侧额叶皮层,特别是前扣带回皮层(ACC)。激烈的辩论涉及反馈期望和反馈价对这两个大脑区域参与强化学习的普遍影响,其各自的作用远未被理解。为此,我们使用了具有三种不同类型反馈的时间估计任务,该任务可以使用功能磁共振成像(fMRI)来区分反馈价和期望值的影响。我们的结果表明,在出现意外的正反馈和意外的负反馈后,ACC的激活要比预期的反馈要大,并且对这种意外事件的敏感性,无论其效价如何,都比预期的反馈要大。

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