Journal
BIOLOGICAL PSYCHOLOGY
Volume 139, Issue -, Pages 131-151Publisher
ELSEVIER
DOI: 10.1016/j.biopsycho.2018.10.012
Keywords
Emotional intelligence; Neural systems; Emotion perception; Emotion regulation; Emotional awareness; Predictive coding; Active inference
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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.
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