Home > Journals > Minerva Psichiatrica > Past Issues > Minerva Psichiatrica 2003 September;44(3) > Minerva Psichiatrica 2003 September;44(3):153-62

CURRENT ISSUE
 

JOURNAL TOOLS

eTOC
To subscribe
Submit an article
Recommend to your librarian
 

ARTICLE TOOLS

Reprints
Permissions

 

REVIEWS   

Minerva Psichiatrica 2003 September;44(3):153-62

Copyright © 2003 EDIZIONI MINERVA MEDICA

language: English

Learning in the neocortex and hippocampus. Principles from computational models

Atallah H., O’Reilly R. C.


PDF


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.

top of page