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An Erp Investigation Of Reward Signals For Differing Classes Of Reinforcing Stimuli, Darin R. Brown
An Erp Investigation Of Reward Signals For Differing Classes Of Reinforcing Stimuli, Darin R. Brown
Psychology ETDs
In order to successfully traverse an actively complex environment, an agent is required to learn from the consequences of their actions. For over a century, models of behavior have been developed demonstrating these consequence-based learning systems. More recently, underlying biological systems have been found to adhere to these constructs of learning. The electroencephalographic signal known as the Reward Positivity (RewP) is thought to reflect a dopamine-dependent cortical signal specific to reward receipt. Importantly, this signal has been shown to adhere to an axiomatic (rule-like) positive reward prediction error, whereby it is evoked following outcomes that are better than expected. These …