Why is a mathematical model of learning relevant for our understanding of habits? Remember our discussion in Chapter 2 of the work of Wolfram Schultz, who studied how dopamine cells in the monkey’s brain responded to rewards and the cues that predicted them. His research showed that the firing of dopamine neurons very closely matched the difference between actual outcomes and predicted outcomes—exactly the prediction error that is computed in the reinforcement learning model.
