The positive-negative axis of emotional valence has long been recognized as fundamental
to adaptive behavior, but its origin and underlying function have largely eluded formal …

Emotional awareness (EA) is recognized as clinically relevant to the vulnerability to, and
maintenance of, psychiatric disorders. However, the neurocomputational processes that …

Active inference offers a first principle account of sentient behavior, from which special and
important cases—for example, reinforcement learning, active learning, Bayes optimal …

Emotions ubiquitously impact action, learning, and perception, yet their essence and role
remain widely debated. Computational accounts of emotion aspire to answer these …

This review paper offers an overview of the history and future of active inference—a unifying
perspective on action and perception. Active inference is based upon the idea that sentient …

Active inference is a Bayesian framework for understanding biological intelligence. The
underlying theory brings together perception and action under one single imperative …

Active Inference is a theory arising from theoretical neuroscience which casts action and
planning as Bayesian inference problems to be solved by minimizing a single quantity—the …

Mood is an integrative and diffuse affective state that is thought to exert a pervasive effect on
cognition and behavior. At the same time, mood itself is thought to fluctuate slowly as a …

Recent advances in neuroscience have characterised brain function using mathematical
formalisms and first principles that may be usefully applied elsewhere. In this paper, we …

The ability to conceptualize and understand one's own affective states and responses–or
“Emotional awareness”(EA)–is reduced in multiple psychiatric populations; it is also …