Path: utzoo!attcan!uunet!samsung!emory!hubcap!ncrcae!usceast!park
From: park@usceast.UUCP (Kihong Park)
Newsgroups: comp.ai.neural-nets
Subject: Re: A theoretical question: multiple patterns and synchrony
Message-ID: <3189@usceast.UUCP>
Date: 11 Apr 90 18:57:11 GMT
References: <761@mirsa.inria.fr>
Organization: University of South Carolina, Columbia
Lines: 14

Why make the assumption that segmentable "parts" of an image are stored
as different local minima on the same network, i.e., its energy landscape?
You may want view your image processing system as consisting of a
number of relatively "independent" modules, each of which with different
functionalities. Then, temporal synchronicity can possibly be achieved.
That is, in the most simplest case where each model encodes among other
things one "part" of the image, the simultaneous convergence to local
minima in each module may bring forth a synchronized convergence of the
total system to a global minimum. Hence no temporal sequencing.
The above explanation is of course too simplistic, but nevertheless it
should illustrate that in any nontrivial system, modularization is a
key factor. How to achieve this is a big problem. 

Kihong Park. (park@cs.scarolina.edu)