Implementation and coupling of dynamic neurons through optoelectronics
Alexandre Ricardo Soares Romariz, Kelvin H. Wagner · The European Symposium on Artificial Neural Networks · 2004
In this work we describe experimental results regarding an optoelec- tronic implementation of a dynamic neuron model. The model is a variation of the FitzHugh-Nagumo equations, and it is implemented with linear optics and simple linear electronic feedback. The demonstration of dynamic features of the isolated neuron and of optical coupling between neurons is discussed, as well as the computational perspective of large arrays of such neurons.