Use of electron trapping materials in optical signal processing 3: Modifiable Hopfield type neural networks

Abstract

Novel electron trapping materials are capable of performing optical formation of an interconnection matrix based on the Hopfield prescribed learning rule. The matrix is further modifiable when a memory is changed or added. An association is performed using the optically formed matrix. In addition, the construction of single liquid crystal display XOR and XNOR gates for the matrix formulation is described. The XOR operation of an electroluminescent lamp is demonstrated.