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 …

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 …

In this article, we analyse social interactions, drawing on diverse points of views, ranging
from dialectics, second-person neuroscience and enactivism to dynamical systems, active …

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 can one conciliate the claim that humans are uncertainty minimizing systems that seek
to navigate predictable and familiar environments with the claim that humans can be …

Active inference is an account of cognition and behavior in complex systems which brings
together action, perception, and learning under the theoretical mantle of Bayesian inference …

Recent advances in neuroscience have characterised brain function using mathematical
formalisms and first principles that may be usefully applied elsewhere. In this paper, we …

This article discusses four fundamental topics for future Distributed Computing Continuum
Systems: their representation, model, lifelong learning, and business model. Further, it …

This paper presents a version of neurophenomenology based on generative modelling
techniques developed in computational neuroscience and biology. Our approach can be …