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Hebbian Learning and Temporary Storage in the Convergence-Zone Model of Episodic Memory

Howe, Michael and Miikkulainen, Risto (2000) Hebbian Learning and Temporary Storage in the Convergence-Zone Model of Episodic Memory. [Journal (Paginated)]

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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.

Item Type:Journal (Paginated)
Keywords:Episodic memory, hippocampus, forgetting, convergence-zones
Subjects:Neuroscience > Computational Neuroscience
Computer Science > Neural Nets
ID Code:1892
Deposited By:Miikkulainen, Risto
Deposited On:18 Nov 2001
Last Modified:11 Mar 2011 08:54

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