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 …

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 …

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

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

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

Is there a canonical way to think of agency beyond reward maximisation? In this paper, we
show that any type of behaviour complying with physically sound assumptions about how …

The multifaceted nature of experience poses a challenge to the study of consciousness.
Traditional neuroscientific approaches often concentrate on isolated facets, such as …

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 …