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• W2021014723 abstract "The error detection concept plays a critical role in theories of performance monitoring. In this study, we have proposed a model that somehow unifies two main theories of performance monitoring: reinforcement learning and conflict monitoring. The proposed model, which is a modified and extended version of computational model of reinforcement learning theory, is used to simulate behavioral and event-related brain potential data in a modified version of Eriksen flanker task. This model captures the idea of conflict monitoring theory. Therefore, it can generate a component of event-related brain potential (N200) that reinforcement learning theory is not capable of producing it." @default.
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• W2021014723 date "2013-03-01" @default.
• W2021014723 modified "2023-09-25" @default.
• W2021014723 title "Modeling error detection in human brain: A preliminary unification of reinforcement learning and conflict monitoring theories" @default.
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• W2021014723 doi "https://doi.org/10.1016/j.neucom.2012.04.026" @default.
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