Learning in the neocortex and hippocampus: Principles from computational models (original) (raw)

Minerva psichiatrica, 2003

Abstract

Résumé/Abstract We review a set of principles, derived from converging biological, psychological, and computational constraints, for understanding the differential contributions of the neocortex and hippocampus to learning and memory. For example, we argue that the neocortex employs a slow learning rate and overlapping distributed representations to extract generalities (eg, prototypes) from the environment. In contrast, the hippocampus learns rapidly using separated representations to encode the conjunctive details of ...

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