1. N.N.Aizenberg, Yu.L.Ivaskiv Multiple-Valued Threshold Logic. Kiev: Naukova Dumka, 1977 (in Russian)
2. N.N.Aizenberg, I.N.Aizenberg “CNN based on multi-valued neuron as a model of associative memory for gray-scale images”, Proc. of the 2-d IEEE International Workshop on Cellular Neural Networks and their Applications, Munich, 1992, pp. 36–41.
3. N.N.Aizenberg, I.N.Aizenberg, G.A.Krivosheev “Multi-Valued Neurons: Learning, Networks, Application to Image Recognition and Extrapolation of Temporal Series”, Lecture Notes in Computer Science, Vol.930, (J.Mira, F.Sandoval—Eds.), Springer-Verlag, 1995, pp.389–395.
4. N.N.Aizenberg, I.N.Aizenberg, G.A.Krivosheev “Multi-Valued Neurons: Mathematical model, Networks, Application to Pattern Recognition”, Proc. of the 13 Int.Conf. on Pattern Recognition, Vienna, August 25–30, 1996, Track D, IEEE Computer Soc. Press, pp. 185–189, 1996.
5. I.N.Aizenberg., N.N.Aizenberg “Universal binary and multi-valued neurons paradigm: conception, learning, applications”, Lecture Notes in Computer Science, Vol. 1240 (J.Mira, R.Moreno-Diaz, J.Cabestany—Eds.), Springer-Verlag, 1997, pp. 463–472.