Schizophrenia is a severe psychiatric disorder with considerable morbidity and mortality.
Although the past two decades have seen limited improvement in the treatment of …

Computational models lie at the intersection of basic neuroscience and healthcare
applications because they allow researchers to test hypotheses in silico and predict the …

This paper offers a formal account of emotional inference and stress-related behaviour,
using the notion of active inference. We formulate responses to stressful scenarios in terms …

Most neuropsychiatric disorders are highly polygenic, implicating hundreds to thousands of
causal genetic variants that span much of the genome. This widespread polygenicity …

Schizophrenia has been conceptualized as a neurodevelopmental disorder with synaptic
alterations and aberrant cortical–subcortical connections. Antipsychotics are the mainstay of …

Developmental Coordination Disorder (DCD) is a heterogeneous neurodevelopmental
disorder known for primary symptoms of motor learning and execution difficulties. Recent …

Computational thinking refers to the cognitive processes underpinning the application of
computer science concepts and methodologies to the methodical approach and creation of …

Electroencephalography (EEG) and magnetoencephalography (MEG) are among the most
important techniques for non-invasively studying cognition and disease in the human brain …

Brain research has in recent years indisputably entered a new epoch, driven by substantial
methodological advances and digitally enabled data integration and modeling at multiple …

The electroencephalogram (EEG) is a major tool for non-invasively studying brain function
and dysfunction. Comparing experimentally recorded EEGs with neural network models is …