A complex-valued spiking machine

The technique presented in this article comes from the formalization of some passive electric properties of the dendritic trees in biological neurons using a complex-valued spatio-temporal coding. The introduction of this coding in the complex-valued neural networks makes it possible to give an algebraic formalization to the spiking neural networks. Our finality in term of applications is the processing of spatio-temporal patterns in the field of human-computer interactions. This technique was thus evaluated by simulation on handwritten character recognition and, audio and visual speech recognition problems. To improve the performances of it we present in this paper a design methodology which helps building multinetwork spiking machines. The implementation of a pen oriented interface made for an industrialist illustrates the method.