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 …

Adaptive Resonance Theory, or ART, is a neural model that explains how normal and
abnormal brains may learn to categorize and recognize objects and events in a changing …

In a complex environment that contains both opportunities and threats, it is important for an
organism to flexibly direct attention based on current events and prior plans. The amygdala …

The creation of machine learning algorithms for intelligent agents capable of continuous,
lifelong learning is a critical objective for algorithms being deployed on real-life systems in …

Brain electric activity exhibits two important features: oscillations with different timescales,
characterized by diverse functional and psychological outcomes, and a temporal power law …

How do the hippocampus and amygdala interact with thalamocortical systems to regulate
cognitive and cognitive-emotional learning? Why do lesions of thalamus, amygdala …

Schizophrenia is associated with diverse cognitive deficits, including disorders of attention-
related oculomotor behavior. At the structural level, schizophrenia is associated with …

This article provides an overview of neural models of synaptic learning and memory whose
expression in adaptive behavior depends critically on the circuits and systems in which the …

This article develops the iSTART neural model that proposes how specific imbalances in
cognitive, emotional, timing, and motor processes that involve brain regions like prefrontal …