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Article 6557 of comp.ai.philosophy:
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>From: ucjtpsk@ucl.ac.uk (Mr Shiv Kaul)
Newsgroups: comp.ai.philosophy
Subject: Re: Memory and store/retrieve.
Message-ID: <1992Aug04.103154.19770@bas-a.bcc.ac.uk>
Date: 4 Aug 92 10:31:54 GMT
References: <1992Jul28.194953.7337@puma.ATL.GE.COM> <1992Jul29.165648.1525@mp.cs.niu.edu> 	<1992Jul30.152320.2247@puma.ATL.GE.COM> 	<1992Jul31.160209.26718@mp.cs.niu.edu> <BILL.92Jul31195028@ca3.nsma.arizona.edu>
Organization: Bloomsbury Computing Consortium
Lines: 20

bill@nsma.arizona.edu (Bill Skaggs) writes:

>One theory that is increasing in popularity (a little bit of
>cheerleading here!) holds that when episodic memories (i.e. memories
>for specific events) are first acquired, they are placed in a
>discrete-item memory, because as far as we know that's the only kind
>of network that can learn from a single brief presentation; then over
>the course of time, they are "consolidated" into a more efficient,
>higher-capacity, incremental-learning network.

Can you (or anyone else) cite some references that outline this theory
of episodic memory consolidation?

Shiv

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