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A Journal on Psychiatry, Psychology and Psychopharmacology


Official Journal of the Italian Society of Social Psychiatry
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Minerva Psichiatrica 2003 September;44(3):153-62

language: English

Learning in the neocortex and hippocampus. Principles from computational models

Atallah H., O'Reilly R. C.


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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 (e.g., prototypes) from the environment. In contrast, the hippocampus learns rapidly using separated representations to encode the conjunctive details of specific events. We review applications of these ideas to human recognition memory and contextual fear conditioning-2 among a wide range of domains where they have been recently applied. In both domains, the models have generated novel predictions that have been tested and confirmed.

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