Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
409656 | Neurocomputing | 2013 | 13 Pages |
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.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Sareh Zendehrouh, Shahriar Gharibzadeh, Farzad Towhidkhah,