Top-down feedback in cortex is critical for guiding sensory processing, which has
prominently been formalized in the theory of hierarchical predictive coding (hPC). However …

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

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 …

Recent neurophysiological and neuroanatomical studies suggest a close interaction
between sensory and motor processes across the neocortex. Here, I propose that the …

Prediction errors are differences between expected and actual sensory input and are
thought to be key computational signals that drive learning related plasticity. One way that …

Distinguishing sensory stimuli caused by changes in the environment from those caused by
an animal's own actions is a hallmark of sensory processing. Saccades are rapid eye …

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

Visual stimuli that deviate from the current context elicit augmented responses in the primary
visual cortex (V1). These heightened responses, known as" deviance detection," require …

Many of the sensations experienced by an organism are caused by their own actions, and
accurately anticipating both the sensory features and timing of self-generated stimuli is …

This paper integrates emerging evidence from two broad streams of scientific literature into
one common framework:(a) hierarchical gradients of functional connectivity that reflect the …