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

Fueled by developments in computational neuroscience, there has been increasing interest
in the underlying neurocomputational mechanisms of psychosis. One successful approach …

Our representation of the physical world requires judgments of magnitudes, such as
loudness, distance, or time. Interestingly, magnitude estimates are often not veridical but …

The idea that predictions shape how we perceive and comprehend the world has become
increasingly influential in the field of systems neuroscience. It also forms an important …

Predictive processing (PP) has been repeatedly presented as a unificatory account of
perception, action, and cognition. In this paper, we argue that this is premature: As a unifying …

Background Sleep dysfunction is extremely common in patients with schizophrenia. Recent
research indicates that sleep dysfunction may contribute to psychotic experiences such as …

Twenty years have passed since the dysconnection hypothesis was first proposed (Friston
and Frith, 1995; Weinberger, 1993). In that time, neuroscience has witnessed tremendous …

This survey presents the most relevant neural network models of autism spectrum disorder
and schizophrenia, from the first connectionist models to recent deep neural network …

Predictive processing is a computational framework that aims to explain how the brain
processes sensory information by making predictions about the environment and minimizing …

Hallucinations, a cardinal feature of psychotic disorders such as schizophrenia, are known
to depend on excessive striatal dopamine. However, an underlying cognitive mechanism …