A previously proposed model for memory based on neurophysiological considerations is reviewed. It is extended by introducing positive feedback of a set of neurons onto itself and allowing the neurons to saturate. The resulting model is analyzed by distinctive features, categorical perception, and as it applies to probability learning. (Editor/RK)