The imprecise nature of psychiatric nosology restricts progress towards characterizing and
treating mental health disorders. One issue is the 'heterogeneity problem': different causal …

To survive, organisms must effectively respond to the challenge of maintaining their
physiological integrity in the face of an ever-changing environment. Preserving this …

In the past decades, reductionism has dominated both research directions and funding
policies in clinical psychology and psychiatry. The intense search for the biological basis of …

Why has computational psychiatry yet to influence routine clinical practice? One reason may
be that it has neglected context and temporal dynamics in the models of certain mental …

For more than a century, research on psychopathology has focused on categorical
diagnoses. Although this work has produced major discoveries, growing evidence points to …

Neurological illnesses, including cognitive impairment, memory decline and dementia, affect
over 50 million people worldwide, imposing a substantial burden on individuals and society …

The use of Artificial Intelligence and machine learning in basic research and clinical
neuroscience is increasing. AI methods enable the interpretation of large multimodal …

This paper addresses the challenges faced by multiscale formulations of the variational (free
energy) approach to dynamics that obtain for large-scale ensembles. We review a …

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 …

This article provides an illustrative treatment of psychiatric morbidity that offers an alternative
to the standard nosological model in psychiatry. It considers what would happen if we …