We suggest that music perception is an active act of listening, providing an irresistible
epistemic offering. When listening to music we constantly generate plausible hypotheses …

Predictive coding is possibly one of the most influential, comprehensive, and controversial
theories of neural function. While proponents praise its explanatory potential, critics object …

A new theory is taking hold in neuroscience. It is the theory that the brain is essentially a
hypothesis-testing mechanism, one that attempts to minimise the error of its predictions …

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

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 …

This chapter focuses on the imaging (or distributed) method for implementing EEG/MEG
source reconstruction in SPM. This approach results in a spatial projection of sensor data …

We review the theory and algorithms of electrophysiological brain connectivity analysis. This
tutorial is aimed at providing an introduction to brain functional connectivity from …

Evoked potentials provide valuable insight into brain processes that are integral to our ability
to interact effectively and efficiently in the world. The mismatch negativity (MMN) component …

Recent advances in signal analysis have engendered EEG with the status of a true brain
mapping and brain imaging method capable of providing spatio-temporal information …

Bayesian model selection (BMS) is a powerful method for determining the most likely among
a set of competing hypotheses about the mechanisms that generated observed data. BMS …