Movement, cognition and perception arise from the collective activity of neurons within
cortical circuits and across large-scale systems of the brain. While the causes of single …

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 …

It is typically assumed that large networks of neurons exhibit a large repertoire of nonlinear
behaviours. Here we challenge this assumption by leveraging mathematical models derived …

The processes underwriting the acquisition of culture remain unclear. How are shared
habits, norms, and expectations learned and maintained with precision and reliability across …

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 …

This technical note describes some Bayesian procedures for the analysis of group studies
that use nonlinear models at the first (within-subject) level–eg, dynamic causal models–and …

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

In this paper we outline a framework for the study of the mechanisms involved in the
engagement of human agents with cultural affordances. Our aim is to better understand how …

With the advent of new analysis methods in neuroimaging that involve independent
component analysis (ICA) and dynamic causal modelling (DCM), investigations have …

The human brain is a complex, interconnected network par excellence. Accurate and
informative map** of this human connectome has become a central goal of neuroscience …