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Conference papers

Hippocampal Auto-Associative Memory

Nicolas Rougier 1
1 CORTEX - Neuromimetic intelligence
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : In the framework of autonomous navigation, the use of a cognitive map requires to perform fast and robust storage of different pieces of information. Classical models of auto-associative memory have been proven to be limited in such a context because of the well known catastrophic interference phenomenon. Taking strong inspiration from the inner organization of the hippocampus, we present in this paper a model of auto-associative memory based on 4 distinct structures (EC, DG, CA3 and CA1) where information is processed along a loop at three distinct levels and has been tested successfully on a real robot.
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Submitted on : Friday, September 16, 2005 - 12:09:51 PM
Last modification on : Friday, February 4, 2022 - 3:16:20 AM
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  • HAL Id : inria-00000238, version 1



Nicolas Rougier. Hippocampal Auto-Associative Memory. International Joint Conference on Neural Networtks - IJCNN'01, Jul 2001, United States, Washington D.C. ⟨inria-00000238⟩



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