2026-07-072026-07-07http://salesiana.dossiersoluciones.com/handle/123456789/149692We study a modular neuron alternative to the McCulloch-Pitts neuron that arises naturally in analog devices in which the neuron inputs are represented as coherent oscillatory wave signals. Although the modular neuron can compute $XOR$ at the one neuron level, it is still characterized by the same Vapnik-Chervonenkis dimension as the standard neuron. We give the formulas needed for constructing networks using the new neuron and training them using back-propagation. A numerical study of the modular neuron on two data sets is presented, which demonstrates that the new neuron performs at least as well as the standard neuron.19 pages, 7 figures(not included) available upon request, postscript fileAdaptation and Self-Organizing SystemsQuantitative Biologytext