Mehdi Keramati

An integrated homeostatic reinforcement learning theory of motivation explains the transition to cocaine addiction

This paper develops a computational theory integrating homeostatic regulation and reinforcement learning to explain cocaine addiction, showing how chronic use leads to increased drug-seeking behavior and relapse.

Collecting reward to defend homeostasis: A homeostatic reinforcement learning theory

This paper proposes a homeostatic reinforcement learning theory that links reward seeking to physiological stability and explains how dopaminergic activity modulates behavior to maintain homeostasis.