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

The brain is a complex, multiscale dynamical system composed of many interacting regions.
Knowledge of the spatiotemporal organization of these interactions is critical for establishing …

Active inference is a normative principle underwriting perception, action, planning, decision-
making and learning in biological or artificial agents. From its inception, its associated …

Predictive processing (PP) is now a prominent theoretical framework in the philosophy of
mind and cognitive science. This review focuses on PP research with a relatively …

This paper describes a path integral formulation of the free energy principle. The ensuing
account expresses the paths or trajectories that a particle takes as it evolves over time. The …

The past twenty-five years have seen a strong increase in the number of publications related
to criticality in different areas of neuroscience. The potential of criticality to explain various …

Active inference is an approach to understanding behaviour that rests upon the idea that the
brain uses an internal generative model to predict incoming sensory data. The fit between …

The free energy principle, and its corollary active inference, constitute a bio-inspired theory
that assumes biological agents act to remain in a restricted set of preferred states of the …

Pain is a subjective sensory experience that can, mostly, be reported but cannot be directly
measured or quantified. Nevertheless, a suite of biomarkers related to mechanisms, neural …

To infer the causes of its sensations, the brain must call on a generative (predictive) model.
This necessitates passing local messages between populations of neurons to update beliefs …