A continuously adaptable artificial neural network

Describes the development of an artificial neuron based loosely on evidence from natural neurons. The organization of these neurons into an artificial network, termed a differentiator, is discussed. Simulation results are presented which demonstrate the ability of the network to categorise noise-corrupted input patterns and adapt to changing input patterns