This paper provides a concise description of the free energy principle, starting from a
formulation of random dynamical systems in terms of a Langevin equation and ending with a …

Approaching limitations of digital computing technologies have spurred research in
neuromorphic and other unconventional approaches to computing. Here we argue that if we …

The first comprehensive treatment of active inference, an integrative perspective on brain,
cognition, and behavior used across multiple disciplines. Active inference is a way of …

This review considers computational psychiatry from a particular viewpoint: namely, a
commitment to explaining psychopathology in terms of pathophysiology. It rests on the …

Recent breakthroughs in neurobiology indicate that the time is ripe to understand how
cellular-level mechanisms are related to conscious experience. Here, we highlight the …

The active inference framework, and in particular its recent formulation as a partially
observable Markov decision process (POMDP), has gained increasing popularity in recent …

Neuronal signalling and communication underpin virtually all aspects of brain activity and
function. Network science approaches to modelling and analysing the dynamics of …

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 …

This work addresses the autonomous organization of biological systems. It does so by
considering the boundaries of biological systems, from individual cells to Home sapiens, in …

The aim of this article is to clarify how best to interpret some of the central constructs that
underwrite the free-energy principle (FEP)–and its corollary, active inference–in theoretical …