Proceedings of the Annual Meeting of the Cognitive Science Society

A jumpnet includes two memory storage systems: a processing network that employs superimpositional storage and a control network that recodes input patterns into minimally overlapping hidden patterns. By creating temporary, input-specific changes in the weights of the processing network, the control network causes the processing network to "jvimp" to the region of its weight space that is most appropriate for a particular input pattern. Simulation results demonstrate that jumpnets exhibit only moderate levels of interference while retaining the computational advantages of superimpositional memory.