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 …

Addressing the multiscale organization of the brain, which is fundamental to the dynamic
repertoire of the organ, remains challenging. In principle, it should be possible to model …

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

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 …

Creating autonomous robots that can actively explore the environment, acquire knowledge
and learn skills continuously is the ultimate achievement envisioned in cognitive and …

Over the last decades, theoretical perspectives in the interdisciplinary field of the affective
sciences have proliferated rather than converged due to differing assumptions about what …

Research on predictive processing models has focused largely on two specific algorithmic
theories: Predictive Coding for perception and Active Inference for decision-making. While …

This article considers the evolution of brain architectures for predictive processing. We argue
that brain mechanisms for predictive perception and action are not late evolutionary …

This paper aims to integrate some key constructs in the cognitive neuroscience of cognitive
control and executive function by formalising the notion of cognitive (or mental) effort in …

How to account for the power that art holds over us? Why do artworks touch us deeply,
consoling, transforming or invigorating us in the process? In this paper, we argue that an …