A growing literature suggests that the hippocampus is critical for the rapid extraction of
regularities from the environment. Although this fits with the known role of the hippocampus …

In this article, we present a perspective on the role of the hippocampal system in
generalization, instantiated in a computational model called REMERGE (recurrency and …

This paper reviews the fate of the central ideas behind the complementary learning systems
(CLS) framework as originally articulated in McClelland, McNaughton, and O'Reilly (1995) …

The hippocampal region, a group of brain structures important for learning and memory, has
been the focus of a large number of computational models. These tend to fall into two …

The complementary learning systems framework provides a simple set of principles, derived
from converging biological, psychological and computational constraints, for understanding …

We present an overview of our computational approach towards understanding the different
contributions of the neocortex and hippocampus in learning and memory. The approach is …

The stability–plasticity problem (ie how the brain incorporates new information into its model
of the world, while at the same time preserving existing knowledge) has been at the forefront …

We describe how the Complementary Learning Systems neural network model of
recognition memory (Norman and O'Reilly (2003) Psychol Rev 104: 611–646) can shed light …

A quantitative computational theory of the operation of the hippocampus as an episodic
memory system is described. The CA3 system operates as a single attractor or …

A quantitative computational theory of the operation of the hippocampal CA3 system as an
autoassociation or attractor network used in episodic memory system is described. In this …