"New lamps for old!" (generalized multiple-valued neurons)

Contributions to multiple-valued threshold logic in the seventies are reviewed at the light of developments in the area of artificial neural networks. It is shown that it is possible to adapt methods of design of feedforward neural networks to generate networks of multiple-valued neurons to realize any multiple-valued function.