To date, fMRI research has been concerned primarily with evincing generic principles of
brain function through averaging data from multiple subjects. Given rapid developments in …

Over the past 20 years, neuroimaging has become a predominant technique in systems
neuroscience. One might envisage that over the next 20 years the neuroimaging of …

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 …

Abstract Dynamic Causal Modelling (DCM) is the predominant method for inferring effective
connectivity from neuroimaging data. In the 15 years since its introduction, the neural …

Remarkable progress has come from whole-brain models linking anatomy and function.
Paradoxically, it is not clear how a neuronal dynamical system running in the fixed human …

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 …

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 this paper, we revisit the problem of Bayesian model selection (BMS) at the group level.
We originally addressed this issue in Stephan et al.(2009), where models are treated as …

This technical note introduces a dynamic causal model (DCM) for resting state fMRI time
series based upon observed functional connectivity—as measured by the cross spectra …

This review considers state-of-the-art analyses of functional integration in neuronal
macrocircuits. We focus on detecting and estimating directed connectivity in neuronal …