Predictive coding theories posit that the perceptual system is structured as a hierarchically
organized set of generative models with increasingly general models at higher levels. The …

Predictive accounts of perception have received increasing attention in the past 20 years.
Detecting violations of auditory regularities, as reflected by the Mismatch Negativity (MMN) …

Predictive coding (PC) posits that the brain uses a generative model to infer the
environmental causes of its sensory data and uses precision-weighted prediction errors …

The mismatch negativity (MMN) component is an event-related potential (ERP) that can be
elicited by any change in the acoustic environment, and it is related to memory-based …

The predictive coding model of perception proposes that neuronal responses are modulated
by the amount of sensory input that the internal prediction cannot account for (ie, prediction …

We investigated the role of attention in feature binding in the auditory and the visual
modality. One auditory and one visual experiment used the mismatch negativity (MMN and …

THE purpose of this study was to test the previous report that generation of the mismatch
negativity (MMN) component of event-related brain potentials (ERPs) is indifferent to the …

For our adaptive behavior in a dynamically changing environment, an essential task of the
brain is to automatically encode sequential regularities inherent in the environment into a …

Previous studies showed a visual analogue of the mismatch negativity (MMN) event-related
potential (ERP), which is elicited by violating some sensory regularity. Separating physical …

Predictive coding theories posit that neural networks learn statistical regularities in the
environment for comparison with actual outcomes, signaling a prediction error (PE) when …