Psychiatry faces fundamental challenges with regard to mechanistically guided differential
diagnosis, as well as prediction of clinical trajectories and treatment response of individual …

To infer the causes of its sensations, the brain must call on a generative (predictive) model.
This necessitates passing local messages between populations of neurons to update beliefs …

This paper revisits the dynamic causal modelling of fMRI timeseries by replacing the usual
(Taylor) approximation to neuronal dynamics with a neural mass model of the canonical …

Theoretical frameworks such as predictive coding suggest that the perception of the body
and world–interoception and exteroception–involve intertwined processes of inference …

The cortical cholinergic input system has been described as a neuromodulator system that
influences broadly defined behavioral and brain states. The discovery of phasic, trial-based …

Social learning is fundamental to human interactions, yet its computational and
physiological mechanisms are not well understood. One prominent open question concerns …

Successful interaction with the environment requires flexible updating of our beliefs about
the world. By estimating the likelihood of future events, it is possible to prepare appropriate …

Interactions across frontal cortex are critical for cognition. Animal studies suggest a role for
mediodorsal thalamus (MD) in these interactions, but the computations performed and direct …

Active inference is a leading theory in neuroscience that provides a simple and neuro-
biologically plausible account of how action and perception are coupled in producing …

The deployment of visuospatial attention and the programming of saccades are governed by
the inferred likelihood of events. In the present study, we combined computational modeling …