Fueled by developments in computational neuroscience, there has been increasing interest
in the underlying neurocomputational mechanisms of psychosis. One successful approach …

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

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

Music is ubiquitous across human cultures—as a source of affective and pleasurable
experience, moving us both physically and emotionally—and learning to play music shapes …

Background Oddball paradigms are frequently used to study auditory discrimination by
comparing event-related potential (ERP) responses from a standard, high probability sound …

An increasing number of studies investigate the visual mismatch negativity (vMMN) or use
the vMMN as a tool to probe various aspects of human cognition. This paper reviews the …

We use behavioral methods, magnetoencephalography, and functional MRI to investigate
how human listeners discover temporal patterns and statistical regularities in complex sound …

Hierarchical predictive coding suggests that attention in humans emerges from increased
precision in probabilistic inference, whereas expectation biases attention in favor of …

Highlights•We summarize recent progress in computational and physiological
models.•These advances provide a basis for future diagnostic applications in psychiatry.•A …

In statistics and machine learning, model accuracy is traded off with complexity, which can
be viewed as the amount of information extracted from the data. Here, we discuss how …