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 …

Abstract Under the Predictive Processing Framework, perception is guided by internal
models that map the probabilistic relationship between sensory states and their causes …

Active inference is a mathematical framework which originated in computational
neuroscience as a theory of how the brain implements action, perception and learning …

Generative artificial intelligence (GAI) is a rapidly growing field with a wide range of
applications. In this paper, a thorough examination of the research landscape in GAI is …

In this study, we examined the relationship between physiological encoding of surprise and
the learning of anticipatory eye movements. Active inference portrays perception and action …

The definition of the visual cortex is primarily based on the evidence that lesions of this area
impair visual perception. However, this does not exclude that the visual cortex may process …

In this chapter, we identify fundamental geometric structures that underlie the problems of
sampling, optimization, inference, and adaptive decision-making. Based on this …

Computational models of visual attention in artificial intelligence and robotics have been
inspired by the concept of a saliency map. These models account for the mutual information …

The free energy principle and its corollary, the active inference framework, serve as
theoretical foundations in the domain of neuroscience, explaining the genesis of intelligent …

Human observers are known to frequently act like Bayes-optimal decision-makers. Growing
evidence indicates that the deployment of the visual system may similarly be driven by …