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Updated: Jul 3, 2026

Studying Food Reward and Motivation in Humans
Published on: March 19, 2014
Computing motivation: Incentive salience boosts of drug or appetite states
Kent C Berridge1, Jun Zhang, J Wayne Aldridge
1Department of Psychology, University of Michigan, Ann Arbor, MI 48109.
Abstract:
Current computational models predict reward based solely on learning. Real motivation involves that but also more. Brain reward systems can dynamically generate incentive salience, by integrating prior learned values with even novel physiological states (e.g., natural appetites; drug-induced mesolimbic sensitization) to cause intense desires that were themselves never learned. We hope future computational models may capture this too.
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