creators_name: Howe, Michael
creators_name: Miikkulainen, Risto
type: journalp
datestamp: 2001-11-18
lastmod: 2011-03-11 08:54:49
metadata_visibility: show
title: Hebbian Learning and
Temporary Storage in the Convergence-Zone Model of Episodic Memory
ispublished: pub
subjects: comp-neuro-sci
subjects: comp-sci-neural-nets
full_text_status: public
keywords: Episodic memory, hippocampus, forgetting, convergence-zones
abstract: The Convergence-Zone model shows how sparse, random memory patterns can lead to one-shot storage and high capacity in the hippocampal component of the episodic memory system. This paper presents a biologically more realistic version of the model, with continuously-weighted connections and storage through Hebbian learning and normalization. In contrast to the gradual weight adaptation in many neural network models, episodic memory turns out to require high learning rates. Normalization allows earlier patterns to be overwritten, 
      introducing time-dependent forgetting similar to the hippocampus.
date: 2000
date_type: published
publication: Neurocomputing
volume: 32-33
pagerange: 817-821
refereed: TRUE
citation:   Howe, Michael and Miikkulainen, Risto  (2000) Hebbian Learning and Temporary Storage in the Convergence-Zone Model of Episodic Memory.  [Journal (Paginated)]     
document_url: http://cogprints.org/1892/3/howe.hebbian-convergence-zone.pdf