An influential neurocomputational theory of the biological mechanisms of decision making, the "basal ganglia go/no-go model," holds that individual variability in decision making is determined by differences in the makeup of a striatal system for approach and avoidance learning. The model has been tested empirically with the probabilistic selection task (PST), which determines whether individuals learn better from positive or negative feedback. In accordance with the model, in the present study we examined whether an individual's ability to learn from positive and negative reinforcement can be predicted by genetic factors related to the midbrain dopamine system. We also asked whether psychiatric and personality factors related to substance dependence and dopamine affect PST performance. Although we found characteristics that predicted individual differences in approach versus avoidance learning, these observations were qualified by additional findings that appear inconsistent with the predictions of the go/no-go model. These results highlight a need for future research to validate the PST as a measure of basal ganglia reward learning. Keywords Individual differences . Addiction . Personality . Midbrain dopamine system . Basal ganglia . Reinforcement learning . Decision making . Probabilistic selection task Neuroimaging studies reveal that normal performance on decision making tasks is associated with widespread activations of the basal ganglia, midbrain dopamine system, and connected structures. These neural pathways are integral components of complex functional neuroanatomical loops underlying reinforcement learning and decision-making that appear critical for several cognitive, motor, and emotional Seeberger, & O'Reilly, 2004;Maia & Frank, 2011; Moustafa, Cohen, Sherman, & Frank, 2008; Moustafa, Sherman, & Frank, 2008;Solomon, Smith, Frank, Ly, & Carter, 2011;Steele, Kumar, & Ebmeier, 2007;Waltz, Frank, Robinson, & Gold, 2007;Waltz, Frank, Wiecki, & Gold, 2011;Wiecki & Frank, 2010) are associated with biases in basal ganglia function in such tasks, reflecting idiosyncratic differences in our abilities to learn and make choices. Yet the neural mechanisms that underlie individual differences in decision making remain poorly understood.According to an influential neurocomputational model of decision making, "the basal ganglia go/no-go model," dopaminergic signaling in the basal ganglia facilitates or suppresses action representations during reinforcement learning tasks: Phasic bursts of dopamine activity facilitate reward learning by reinforcing striatal connections that express D1 receptors (the "go/approach" pathway), whereas phasic dips in dopamine activity facilitate avoidance learning by reinforcing striatal connections that express D2 receptors (the "no-go/avoidance" pathway; Frank et al., 2004). Empirically, the model predictions are typically tested with the probabilistic selection task (PST), a trial-and-error learning task in which participants are required to learn three concurrent discrimi...