Abstract

Competitively inhibited networks automatically form nonparametric representations of density functions and therefore can be used as MAP predictors on a variety of problems. The dynamics of this class of networks is briefly reviewed and an optical implementation is proposed based on two-step holographic materials.

© 1989 Optical Society of America