A framework combining rapid learning with relatively separated episodic representations and slower learning with overlapping representations that extract shared structure. Hippocampal reinstatement supplies experience for interleaved cortical learning. The computational aim is to retain specific events while integrating new knowledge without destructive interference, not simply to duplicate short- and long-duration stores.[ref]
Why there are complementary learning systems in the hippocampus and neocortex: insights from the successes and failures of connectionist models of learning and memory by James L. McClelland and others. Psychological Review 102, pp. 419–457; pp. 432–435 and Figures 9–11, interference and interleaved learning; later sections on consolidation
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