Work

Emotion and prediction errors: which ingredients matter?

Year: 2025

Type: article

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.

Source: Trends in Cognitive Sciences

DOI: 10.1016/j.tics.2025.10.006

Authors: Marius C. Vollberg, Yoann Stussi, Eva R. Pool, David Sander

Institutions: University of Geneva, University of Zurich

Language: English

Topic: Neural and Behavioral Psychology Studies

Subfield: Cognitive Neuroscience

Field: Neuroscience

Domain: Life Sciences

Open Access status: hybrid

Estimated APC paid: $7,030

Funder: Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung