This article presents an extended version of the convolution-correlation memory model TODAM (theory of distributed associative memory) that eliminates some inadequacies of previous versions and provides a unified treatment of item, associative, and serial-order information. TODAM2 extends the chunking model to provide a general model for episodic…

An associative model of serial learning is described based on the assumption that the effective stimulus for a serial-list item is generated by adaptation-level coding of the item's ordinal position. How the model can generate predictions of aspects of serial-learning data is illustrated. (SLD)

The notion of strength is defined in several alternative ways for chains of associations connected in series and in parallel. Network strength theory is extended to handle retrieval dynamics for a network of associations, in a manner that permits various degrees of serial versus parallel manner that permits various degrees of serial versus…