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 …

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 …

Understanding spoken language requires transforming ambiguous acoustic streams into a
hierarchy of representations, from phonemes to meaning. It has been suggested that the …

Deep learning has seen remarkable developments over the last years, many of them
inspired by neuroscience. However, the main learning mechanism behind these advances …

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

Deep learning and predictive coding architectures commonly assume that inference in
neural networks is hierarchical. However, largely neglected in deep learning and predictive …

Primates have evolved diverse cognitive capabilities to navigate their complex social world.
To understand how the brain implements critical social cognitive abilities, we describe …

The idea that predictions shape how we perceive and comprehend the world has become
increasingly influential in the field of systems neuroscience. It also forms an important …

Brain function relies on the coordination of activity across multiple, recurrently connected
brain areas. For instance, sensory information encoded in early sensory areas is relayed to …

Many of our daily activities, such as riding a bike to work or reading a book in a noisy cafe,
and highly skilled activities, such as a professional playing a tennis match or a violin …