This paper formulates the action of psychedelics by integrating the free-energy principle and
entropic brain hypothesis. We call this formulation relaxed beliefs under psychedelics …

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

Biological systems—like ourselves—are constantly faced with uncertainty. Despite noisy
sensory data, and volatile environments, creatures appear to actively maintain their integrity …

Highlights•Attention is a process of (precision dependent) gain control.•Salience is
associated with planned actions that resolve uncertainty.•While distinct entities, attention …

Neuromodulatory systems, including the noradrenergic, serotonergic, dopaminergic, and
cholinergic systems, track environmental signals, such as risks, rewards, novelty, effort, and …

When we learn a new motor skill, such as playing an approaching tennis ball, both our
sensors and the task possess variability. Our sensors provide imperfect information about …

Uncertainty in various forms plagues our interactions with the environment. In a Bayesian
statistical framework, optimal inference and prediction, based on unreliable observations in …

We perceive the shapes and material properties of objects quickly and reliably despite the
complexity and objective ambiguities of natural images. Typical images are highly complex …

In Bayesian brain theories, hierarchically related prediction errors (PEs) play a central role
for predicting sensory inputs and inferring their underlying causes, eg, the probabilistic …

The question of whether it is possible to automate the scientific process is of both great
theoretical interest, and increasing practical importance because, in many scientific areas …