Computational Models of the Spatial and Mnemonic Functions of the Hippocampus

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Abstract
The use of computational models has been invaluable for exploring the link between neurons and behavior, enabling hypothetical mechanisms to be defined precisely and examined quantitatively. This chapter reviews many of these models, including models of spatial functions, models of more general associative mnemonic functions, models that stress feedforward processing through the hippocampal system, and those stressing recurrent processing within it. Spatial models are reviewed first, as they are most firmly rooted in the known electrophysiology of the region. These models cover both the representation of the animal's spatial location and orientation and the use of this information in spatial navigation. The models of mnemonic function, specifically associative or episodic memory, follow from Marr's seminal 1971 model. This model is used as a generic framework in which to consider the various subsequent developments to it. Finally, the chapter reviews those models attempting to bring together the spatial and mnemonic functions of the hippocampus.

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