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 …

This review article summarises recently proposed theories on how neural circuits in the
brain could approximate the error back-propagation algorithm used by artificial neural …

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 …

How is it that thoroughly physical material beings such as ourselves can think, dream, feel,
create and understand ideas, theories and concepts? How does mere matter give rise to all …

In predictive coding, experience generates predictions that attenuate the feeding forward of
predicted stimuli while passing forward unpredicted “errors.” Different models have …

The concept of the brain as a prediction machine has enjoyed a resurgence in the context of
the Bayesian brain and predictive coding approaches within cognitive science. To date, this …

This Perspective considers the influential notion of a canonical (cortical) microcircuit in light
of recent theories about neuronal processing. Specifically, we conciliate quantitative studies …

Sensory signals are highly structured in both space and time. These structural regularities in
visual information allow expectations to form about future stimulation, thereby facilitating …

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 …

There have been numerous attempts to explain the enigma of autism, but existing
neurocognitive theories often provide merely a refined description of 1 cluster of symptoms …