Path: utzoo!attcan!uunet!lll-winken!lll-tis!helios.ee.lbl.gov!pasteur!ames!mailrus!tut.cis.ohio-state.edu!uccba!uceng!dmocsny
From: dmocsny@uceng.UC.EDU (daniel mocsny)
Newsgroups: comp.ai.neural-nets
Subject: temporal domain in vision
Keywords: multiplex filter model
Message-ID: <233@uceng.UC.EDU>
Date: 14 Sep 88 17:34:09 GMT
Organization: Univ. of Cincinnati, College of Engg.
Lines: 13

In Science News, vol. 134, July 23, 1988, C. Vaughan reports on the
work of B. Richmond of NIMH and L. Optican of the National Eye
Institute on their multiplex filter model for encoding data on
neural spike trains. The article implies that real neurons multiplex
lots of data onto their spike trains, much more than the simple
analog voltage in most neurocomputer models. I have not seen
Richmond and Optican's papers and the Science News article was
sufficiently watered down to be somewhat baffling. Has anyone
seen the details of this work, and might it lead to a method to
significantly increase the processing power of an artificial neural
network?

Dan Mocsny
Internet: dmocsny@uceng.UC.EDU