Previous reinforcement-learning models of the basal ganglia network have highlighted the role of dopamine in encoding the mismatch between prediction and reality. Far less attention has been paid to the computational goals and algorithms of the main-axis (actor). Here. we construct a top-down model of the basal ganglia with emphasis on the role of dopamine as both a reinforcement lear... https://www.chiggate.com/earthbath-facial-wipes-25ct-fashion/
Dopaminergic balance between reward maximization and policy complexity
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