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

Cortical networks are composed of glutamatergic excitatory projection neurons and local
GABAergic inhibitory interneurons that gate signal flow and sculpt network dynamics …

Similarities in neocortical circuit organization across areas and species suggest a common
strategy to process diverse types of information, including sensation from diverse modalities …

Predictive coding theories of sensory brain function interpret the hierarchical construction of
the cerebral cortex as a Bayesian, generative model capable of predicting the sensory data …

Neocortical areas communicate through extensive axonal projections, but the logic of
information transfer remains poorly understood, because the projections of individual …

Working memory—the brain's ability to internalize information and use it flexibly to guide
behaviour—is an essential component of cognition. Although activity related to working …

Sensory experience and perceptual learning changes receptive field properties of cortical
pyramidal neurons (PNs), largely mediated by synaptic long-term potentiation (LTP). The …

To better understand how network structure shapes intelligent behavior, we developed a
learning algorithm that we used to build personalized brain network models for 650 Human …

The segregation of figures from the background is an important step in visual perception. In
primary visual cortex, figures evoke stronger activity than backgrounds during a delayed …

The brain has evolved to transform sensory information in the environment into neural
representations that can be used for perception and action. Higher-order sensory cortical …