A network model of basal ganglia for understanding the roles of dopamine and serotonin in reward-punishment-risk based decision making.

ABSTRACT: There is significant evidence that in addition to reward-punishment based decision making, the Basal Ganglia (BG) contributes to risk-based decision making (Balasubramani et al., 2014). Despite this evidence, little is known about the computational principles and neural correlates of risk computation in this subcortical system. We have previously proposed a reinforcement learning (RL)-based model of the BG that simulates the interactions between dopamine (DA) and serotonin (5HT) in a diverse set of experimental studies including reward, punishment and risk based decision making (Balasubramani et al., 2014). Starting with the classical idea that the activity of mesencephalic DA represents reward prediction error, the model posits that serotoninergic activity in the striatum controls risk-pr

SUBMITTER: Balasubramani PP 

PROVIDER: S-EPMC4469836 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature