APS
2026 APS Annual Convention
Mood-As-Momentum: Real-World Tests of a Neurocomputational Account of Mood Fluctuations
This symposium presents evidence that everyday mood fluctuations arise not only from life events but from internal, time-varying reinforcement-learning states. The speakers will present results from a large 4-week mobile experiment including ambulatory EEG/ECG, showing how amplified reward and punishment learning forecast mood changes and illuminate mechanisms of negative emotionality.
Chairs & Discussants
- Michael HallquistChair
UNC-Chapel Hill
Presentations
- Decoding Everyday Learning States: A Mobile Neurocomputational Approach to Mood-As-MomentumEran Eldar
- Learning States Forecast Mood: Prospective Models Linking Reinforcement Sensitivity, Daily Events, and Affective VulnerabilityMichael Hallquist
- Neural and Cardiac Signatures of Learning States: Ambulatory EEG/ECG Evidence for Mood MechanismsAlexandre Dombrovski