Optoelectronic neuron implementation

Optoelectronic implementation of neuron and neural networks plays an important role in signal processing, in particular to analyze output signals coming from optical fiber sensor systems. In our laboratory, by using liquid crystal cells and optical fiber connections, we built up a simple optoelectronic neuron that allowed processing of four output signals coming from different optical fiber sensors. However, more complicated optical fiber sensor system would require more advanced optoelectronic neurons for output signal processing. In this paper we present an optoelectronic implementation of two additional types of neuron. In summary an application of different kind of optoelectronic neurons for multilayer neural networks is discussed.