This perspective describes predictive processing as a computational framework for
understanding cortical function in the context of emerging evidence, with a focus on sensory …

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 …

Dynamic machine vision requires recognizing the past and predicting the future of a moving
object based on present vision. Current machine vision systems accomplish this by …

Timing is critical to most forms of learning, behavior, and sensory-motor processing.
Converging evidence supports the notion that, precisely because of its importance across a …

Models of working memory (WM) commonly focus on how information is encoded into and
retrieved from storage at specific moments. However, in the majority of real-life processes …

Selective attention comprises essential infrastructural functions supporting cognition—
anticipating, prioritizing, selecting, routing, integrating, and preparing signals to guide …

A sequence of images, sounds, or words can be stored at several levels of detail, from
specific items and their timing to abstract structure. We propose a taxonomy of five distinct …

To produce consistent sensory perception, neurons must maintain stable representations of
sensory input. However, neurons in many regions exhibit progressive drift across days …

The ability to recognize and predict temporal sequences of sensory inputs is vital for survival
in natural environments. Based on many known properties of cortical neurons, hierarchical …

In generative models of brain function, internal representations are used to generate
predictions of sensory input, yet little is known about how internal models influence sensory …