For many years, the dominant theoretical framework guiding research into the neural origins
of perceptual experience has been provided by hierarchical feedforward models, in which …

The term 'stress'–coined in 1936–has many definitions, but until now has lacked a
theoretical foundation. Here we present an information-theoretic approach–based on the …

This paper considers functional integration in the brain from a computational perspective.
We ask what sort of neuronal message passing is mandated by active inference—and what …

In predictive coding, experience generates predictions that attenuate the feeding forward of
predicted stimuli while passing forward unpredicted “errors.” Different models have …

In brain regions containing crossing fibre bundles, voxel-average diffusion MRI measures
such as fractional anisotropy (FA) are difficult to interpret, and lack within-voxel single fibre …

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 …

According to predictive-coding theory, cortical areas continuously generate and update
predictions of sensory inputs at different hierarchical levels and emit prediction errors when …

Highlights•Attention is a process of (precision dependent) gain control.•Salience is
associated with planned actions that resolve uncertainty.•While distinct entities, attention …

The neurobiological understanding of mood, and by extension mood disorders, remains
elusive despite decades of research implicating several neuromodulator systems. This …

This paper presents a review of theoretical and empirical work on repetition suppression in
the context of predictive coding. Predictive coding is a neurobiologically plausible scheme …