Computational Models of Incentive-Sensitization in Addiction: Dynamic Limbic Transformation of Learning into Motivation

A motivation-based model that incorporates dynamically modulated physiological brain states that change the ability of cues to elicit ‘wanting’ on the fly, and contrasts it to traditional cache-based models of reinforcement and reward learning.