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Abstract:
A network is described that performs classification based on self-regulatory feedback. Structurally it contrasts with current classifier methods by not requiring parameterized connection weights or lateral inhibition. Thus is it different from other biologically inspired networks such as: Neural Networks, Adaptive Resonance Networks.