Their idea is that because the neocortex is learning hippocampal
information very slowly, that this will suffice to prevent catastrophic interference of the
information previously stored in the neocortex. The present experiment demonstrates that
regardless of how slowly new information is learned by a connectionist network, this
information can destroy previously learned information. We suggest that it is crucial that
approximations of the old information — pseudopatterns — be interleaved with the new
information