The basic building block of artificial ["NeuralNetwork"]s. It receives one or more inputs and produces one or more identical outputs <nop>[</nop>see ["DalesRule"]<nop>]</nop>, each of which is a simple non-linear function of the sum of the inputs to the neuron. The non-linear function is typically a threshhold or step function which is usually smoothed (i.e. a ["Sigmoid"]) to facilitate ["Learning"].

Also known as a MccullochPittsNeuron.