Abstract
The construct of emotional intelligence (EI) broadly reflects the idea that individuals differ in their disposition/ability to adaptively generate, recognize, understand, and regulate the emotions of self and others. However, while the neural processes underlying such differences have begun to receive investigation, no brain-based model of EI has yet been proposed to help guide the design and interpretation of neuroimaging research in this area. In this article, we propose a neural model of EI to fill this need. This model incorporates recent insights from emotion theory, computational neuroscience, and large-scale network models of brain function. It also highlights several domain general processes – including those underlying conceptualization, automatic attention, habit formation, and cognitive control – that offer plausible targets for improving EI with training. Our model offers considerable promise in advancing understanding of intelligent emotional functioning and in guiding future neuroscience research on EI.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 131-151 |
| Number of pages | 21 |
| Journal | Biological Psychology |
| Volume | 139 |
| DOIs | |
| State | Published - Nov 2018 |
Keywords
- Active inference
- Emotion perception
- Emotion regulation
- Emotional awareness
- Emotional intelligence
- Neural systems
- Predictive coding
ASJC Scopus subject areas
- General Neuroscience
- Neuropsychology and Physiological Psychology
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