# Peter Dayan **Domain:** Computational Neuroscience / Machine Learning **Doc Type:** Person **Maturity:** Developed **Related:** [[Reward Prediction Error]], [[Wolfram Schultz]], [[P. Read Montague]], [[Temporal-Difference Learning]], [[Schedule and Loop]] ## Definition Peter Dayan is a computational neuroscientist who helped connect dopamine responses to temporal-difference models of learning. ## Schedule–Loop Context This connection makes the merger explicit: a behavioral learning problem and a control-theoretic update rule describe the same prediction discrepancy at different levels. ## Backlinks - [[Schedule and Loop]] - [[articles/Schedule and Loop|Schedule and Loop]] - [[Russia and Prussia Kybernetiks]]