This article develops the Synchronous Matching Adaptive Resonance Theory (SMART)
neural model to explain how the brain may coordinate multiple levels of thalamocortical and …

In recent years, several hierarchical extensions of well-known learning algorithms have
been proposed. For example, when stimulus-action mappings vary across time or context …

Brain circuitry processes information by rapidly and selectively engaging functional neuronal
networks. The dynamic formation of networks is often evident in rhythmically synchronized …

Adaptive Resonance Theory, or ART, is a cognitive and neural theory of how the brain
autonomously learns to categorize, recognize, and predict objects and events in a changing …

A full understanding of consciousness requires that we identify the brain processes from
which conscious experiences emerge. What are these processes, and what is their utility in …

The human brain is a complex, adaptive system comprised of billions of cells with trillions of
connections. The interactions between the elements of the system oppose this seemingly …

Cognitive functions not only depend on the localization of neural activity, but also on the
precise temporal pattern of activity in neural assemblies. Synchronization of action potential …

This article describes neural models of attention. Since attention is not a disembodied
process, the article explains how brain processes of consciousness, learning, expectation …

Synchronous neuronal activity in the thalamocortical system is critical for a number of
behaviorally relevant computations, but hypersynchrony can limit information coding and …

Synchronous rhythms represent a core mechanism for sculpting temporal coordination of
neural activity in the brain-wide network. This review focuses on oscillations in the cerebral …