This paper considers psychotic symptoms in terms of false inferences or beliefs. It is based
on the notion that the brain is an inference machine that actively constructs hypotheses to …

Brains, it has recently been argued, are essentially prediction machines. They are bundles
of cells that support perception and action by constantly attempting to match incoming …

Computational psychiatry is a rapidly growing field attempting to translate advances in
computational neuroscience and machine learning into improved outcomes for patients …

Visual perception is one of the basic tools for exploring the world. However, in
schizophrenia, this modality is disrupted. So far, there has been no clear answer as to …

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

Although visual processing impairments are common in schizophrenia, it is not clear to what
extent these originate in the eye vs. the brain. This review highlights potential contributions …

The brain is a predictive machine. Converging data suggests a diametric predictive strategy
from autism spectrum disorders (ASD) to schizophrenic spectrum disorders (SSD). Whereas …

Illusion, namely a mismatch between the objective and perceived properties of an object
present in the environment, is a common feature of visual perception, both in normal and …

Neuroimaging increasingly exploits machine learning techniques in an attempt to achieve
clinically relevant single-subject predictions. An alternative to machine learning, which tries …

Functional neuroimaging has made fundamental contributions to our understanding of brain
function. It remains challenging, however, to translate these advances into diagnostic tools …