Research on predictive processing models has focused largely on two specific algorithmic
theories: Predictive Coding for perception and Active Inference for decision-making. While …

Resting state functional magnetic resonance imaging (rs-fMRI) is based on spontaneous
fluctuations in the blood oxygen level dependent (BOLD) signal, which occur simultaneously …

The anatomy of the brain necessarily constrains its function, but precisely how remains
unclear. The classical and dominant paradigm in neuroscience is that neuronal dynamics …

This paper outlines a hierarchical Bayesian framework for interoception,
homeostatic/allostatic control, and meta-cognition that connects fatigue and depression to …

The large-scale organization of dynamical neural activity across cortex emerges through
long-range interactions among local circuits. We hypothesized that large-scale dynamics are …

Large-scale biophysical circuit models provide mechanistic insights into the micro-scale and
macro-scale properties of brain organization that shape complex patterns of spontaneous …

Layer-dependent fMRI allows measurements of information flow in cortical circuits, as
afferent and efferent connections terminate in different cortical layers. However, it is …

We considered a large-scale dynamical circuit model of human cerebral cortex with region-
specific microscale properties. The model was inverted using a stochastic optimization …

In addition to bottom-up input, the visual cortex receives large amounts of feedback from
other cortical areas [1–3]. One compelling example of feedback activation of early visual …

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 …