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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 world.
Adaptive Resonance Theory has the ability to self-organize and self-stabilize recognition code in response to an arbitrary list 4 Page 7 of input patterns. It uses a type of adaptive filter to strain out noise from an input pattern.
Studies demonstrating neural entrainment to complex rhythms support Neural Resonance Theory (NRT), which predicts that synchronization of neural oscillations is the mechanism of pulse perception.
Adaptive resonance theory (ART) is a theory developed by Stephen Grossberg and Gail Carpenter on aspects of how the brain processes information. It describes a number of neural network models which use supervised and unsupervised learning methods, and address problems such as pattern recognition and prediction.
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