Emotion and prediction errors: which ingredients matter?
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.
Authors
- Yoann Stussi (ORCID: https://orcid.org/0000-0002-8601-6737)
- Eva Pool (ORCID: https://orcid.org/0000-0001-5929-1007)
- Marius C. Vollberg (ORCID: https://orcid.org/0000-0003-2301-3552)
- David Sander (ORCID: https://orcid.org/0000-0003-1266-9361)
Institutions
- University of Geneva (CH)
- University of Zurich (CH)
Publication Details
- Journal
- Trends in Cognitive Sciences
- Published
- 2025-10-22
- DOI
- https://doi.org/10.1016/j.tics.2025.10.006
- Citations
- 1
- Primary Topic
- Neural and Behavioral Psychology Studies
- Type
- article
- Field-Weighted Citation Impact
- 1.43