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

Crossmodal plasticity is a textbook example of the ability of the brain to reorganize based on
use. We review evidence from the auditory system showing that such reorganization has …

Predictive processing postulates the existence of prediction error neurons in cortex. Neurons
with both negative and positive prediction error response properties have been identified in …

For a growing number of researchers, it is now accepted that the brain is a predictive organ
that predicts the content of the sensorium and crucially the precision of—or confidence in …

Predictive processing is a computational framework that aims to explain how the brain
processes sensory information by making predictions about the environment and minimizing …

While sensory representations in the brain depend on context, it remains unclear how such
modulations are implemented at the biophysical level, and how processing layers further in …

Semantic representations in higher sensory cortices form the basis for robust, yet flexible
behavior. These representations are acquired over the course of development in an …

How is the massive dimensionality and complexity of the microscopic constituents of the
nervous system brought under sufficiently tight control so as to coordinate adaptive …

One of the key problems the brain faces is inferring the state of the world from a sequence of
dynamically changing stimuli, and it is not yet clear how the sensory system achieves this …

Artificial intelligence (AI) is rapidly becoming one of the key technologies of this century. The
majority of results in AI thus far have been achieved using deep neural networks trained with …