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 …

The hard problem of consciousness is the problem of explaining how we experience qualia
or phenomenal experiences, such as seeing, hearing, and feeling, and knowing what they …

The processes whereby our brains continue to learn about a changing world in a stable
fashion throughout life are proposed to lead to conscious experiences. These processes …

Principles derived from an analysis of experimental literatures in VISIOn, speech, cortical
development, and reinforcement learning, including attentional blocking and cognitive …

Biological neural network models whereby brains make minds help to understand
autonomous adaptive intelligence. This article summarizes why the dynamics and emergent …

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

Myriad signals relentlessly bombard our senses. These signals may ar? rive in disconnected
pieces, yet we can integrate them as unified moments oi conscious experience. The …

Part I of this paper describes a model for the parallel development and adult coding of
neural feature detectors. It shows how any set of arbitrary spatial patterns can be recoded, or …

This survey samples from the ever-growing family of adaptive resonance theory (ART)
neural network models used to perform the three primary machine learning modalities …

This article described neural network models for adaptive control of arm movement
trajectories during visually guided reaching and, more generally, a framework for …