Related Experiment Video
Updated: Jan 14, 2026

Errors as a Means of Reducing Impulsive Food Choice
Published on: June 5, 2016
Emotion and prediction errors: which ingredients matter?
Marius C Vollberg1, Yoann Stussi2, Eva R Pool2
1Zurich Center for Neuroeconomics, Department of Economics, University of Zurich, Zurich, Switzerland; Swiss Center for Affective Sciences, University of Geneva, Geneva, Switzerland.
None:
Does including emotions improve reinforcement-learning models? A recent EEG study by Heffner and colleagues presents separate neural signatures for reward and emotion prediction errors. This advance invites questions about, and even holds clues to, which ingredients of emotion and prediction errors most improve reinforcement-learning models.
Related Concept Videos
Cognitive Theories: Schachter-Singer Theory of Emotion
Physiological Arousal and Cognitive Labeling
According to this theory, when an individual experiences...
The Influence of Cognition on Affect
First Impression
Fundamental Attribution Error
Hindsight Biases
Factors Affecting Perception
An illustrative example of a perceptual set is the scenario where an airline pilot told...

