Background: Analysis of the human connectome using functional magnetic resonance
imaging (fMRI) started in the mid-1990s and attracted increasing attention in attempts to …

This review considers computational psychiatry from a particular viewpoint: namely, a
commitment to explaining psychopathology in terms of pathophysiology. It rests on the …

Cognitive function requires the coordination of neural activity across many scales, from
neurons and circuits to large-scale networks. As such, it is unlikely that an explanatory …

In recent years, the Intelligent transportations system (ITS) has received considerable
attention, due to higher demands for road safety and efficiency in highly interconnected road …

This paper provides a worked example of using Dynamic Causal Modelling (DCM) and
Parametric Empirical Bayes (PEB) to characterise inter-subject variability in neural circuitry …

This article offers a formal account of curiosity and insight in terms of active (Bayesian)
inference. It deals with the dual problem of inferring states of the world and learning its …

We review a theory of homeostatic regulation and adaptive behavioural control within the
Active Inference framework. Our aim is to connect two research streams that are usually …

The brain's default mode network (DMN) has become closely associated with self-referential
mental activity, particularly in the resting-state. While the DMN is important for such …

This paper outlines a hierarchical Bayesian framework for interoception,
homeostatic/allostatic control, and meta-cognition that connects fatigue and depression to …

Inferring the structure and dynamics of network models is critical to understanding the
functionality and control of complex systems, such as metabolic and regulatory biological …