Perception and perceptual decision-making are strongly facilitated by prior knowledge about
the probabilistic structure of the world. While the computational benefits of using prior …

Many theories of perception are anchored in the central notion that the brain continuously
updates an internal model of the world to infer the probable causes of sensory events. In this …

For many years, the dominant theoretical framework guiding research into the neural origins
of perceptual experience has been provided by hierarchical feedforward models, in which …

People naturally interact with the world multimodally, through both parallel and sequential
use of multiple perceptual modalities. Multimodal human–computer interaction has sought …

Prediction errors (PE) are a central notion in theoretical models of reinforcement learning,
perceptual inference, decision-making and cognition, and prediction error signals have …

It has become accepted in the neuroscience community that perception and performance
are quintessentially multisensory by nature. Using the full palette of modern brain imaging …

A striking feature of human perception is that our subjective experience depends not only on
sensory information from the environment but also on our prior knowledge or expectations …

According to the predictive coding theory, top-down predictions are conveyed by backward
connections and prediction errors are propagated forward across the cortical hierarchy …

Our ability to selectively attend to one auditory signal amid competing input streams,
epitomized by the “Cocktail Party” problem, continues to stimulate research from various …

Sensory processing is strongly influenced by prior expectations. Valid expectations have
been shown to lead to improvements in perception as well as in the quality of sensory …