Abstract

A conventional associative memory employs correlation as a similarity measure in storage and retrieval operations. We had previously described a variant of this linear associative memory that contains a controllable, adaptive nonlinearity in the correlation domain to suppress cross-correlation noise and increase the memory capacity.¹ Work by Maxwell et al.² and Psaltis and Park³ utilized higher-order correlations to achieve the same effect. A comparative study between the use of isolated higher-order correlation terms and an adaptive nonlinearity will be carried out via computer simulations. Particular emphasis will be placed on the memory capacity and error-tolerance characteristics of the nonlinear associative memory models using different forms of nonlinearities.

© 1986 Optical Society of America