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Emotion and prediction errors: which ingredients matter?

Publication date2025-10
First online date2025-10-21
Abstract

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.

Keywords
  • Affect
  • Emotion
  • Prediction error
  • Reinforcement learning
  • Social behavior
Citation (ISO format)
VOLLBERG, Marius et al. Emotion and prediction errors: which ingredients matter? In: Trends in cognitive sciences, 2025. doi: 10.1016/j.tics.2025.10.006
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Journal ISSN1364-6613
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304downloads

Technical informations

Creation29/10/2025 14:04:05
First validation04/11/2025 10:53:50
Update27/11/2025 09:47:38
Status update27/11/2025 09:47:38
Last indexation27/11/2025 09:47:39
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