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 …

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 aim of this paper is to introduce a field of study that has emerged over the last decade,
called Bayesian mechanics. Bayesian mechanics is a probabilistic mechanics, comprising …

The free energy principle (FEP) states that any dynamical system can be interpreted as
performing Bayesian inference upon its surrounding environment. Although, in theory, the …

This paper develops a Bayesian mechanics for adaptive systems. Firstly, we model the
interface between a system and its environment with a Markov blanket. This affords …

The free energy principle, an influential framework in computational neuroscience and
theoretical neurobiology, starts from the assumption that living systems ensure adaptive …

This paper introduces a variational formulation of natural selection, paying special attention
to the nature of 'things' and the way that different 'kinds' of 'things' are individuated from—and …

Abstract Bettinger, JS, KJ Friston. Conceptual Foundations of Physiological Regulation
incorporating the Free Energy Principle & Self-Organized Criticality. NEUROSCI BIOBEHAV …

In theoretical biology, we are often interested in random dynamical systems—like the brain—
that appear to model their environments. This can be formalized by appealing to the …

This paper presents a model of consciousness that follows directly from the free-energy
principle (FEP). We first rehearse the classical and quantum formulations of the FEP. In …