Dan Fabulich wrote:
>
>
>
> >> I didn't know that, nor do I know what sort of feedback loops you had in
> >> mind. Continuously adjusted summaries of all encompassing global
> >> activities? I have no clear idea as to what this is; I have even less of
> >> an idea as to why it would be useful.
> >
> >I'm sorry I can't help you see the usefulness of my view of how and why AI
> should
> >best be implemented at a global level.
>
> <sigh> I was asking about "continuously adjusted summaries of all
> encompassing global material," a string of words which makes no sense to
> me. I asked you to explain this. I see little use in continuously
> adjusted summaries of all encompassing global material at the moment,
> because I have no idea what you mean by that. Did you miss that part?
>
FROM THIS MORNING'S EMAIL - I HOPE IT HELPS ABOVE
>From lorincz@iserv.iki.kfki.hu Fri Sep 4 14:05:52 1998
Date: Mon, 31 Aug 1998 12:55:44 +0200 (MET)
From: Andras Lorincz <lorincz@iserv.iki.kfki.hu>
To: connectionists@cs.cmu.edu, comp-neuro@bbb.caltech.edu,
neuron@cattell.psych.upenn.edu
Subject: Hippocampus and independent component analysis
I would like to announce the availability of a new paper on the functional model of the hippocampus. The model fits smoothly the overall anatomical structure and its two-phase operational mode. The model is built on two basic postulates: (1) the entorhinal-hippocampal loop serves as a control
loop with control errors initiating plastic changes
in the hippocampus and
(2) the hippocampal output develops independent components
in the entorhinal cortex
The paper
AUTHOR: Andras Lorincz
TITLE: Forming independent components via temporal
locking of reconstruction architectures:
a functional model of the hippocampus
JOURNAL: Biological Cybernetics (in press)
may be obtained from:
http://iserv.iki.kfki.hu/New/pub.html
Abstract:
The assumption is made that the formulation of relations as independent components (IC) is a main feature of computations accomplished by the brain. Further, it is assumed that memory traces made of non-orthonormal ICs make use of feedback architectures to form internal representations. Feedback then leads to delays and delays in cortical processing form an obstacle to this relational processing. The problem of delay compensation is formulated as a speed-field tracking task and is solved by a novel control architecture. It is shown that in addition to delay compensation the control architecture can also shape long term memories to hold independent components if a two-phase operation mode is assumed. Features such as a trisynaptic loop and a recurrent collateral structure at the second stage of that loop emerge in a natural fashion. Based on these properties a functional model of the hippocampal loop is constructed.
Andras Lorincz
Department of Information Systems
Eotvos Lorand University, Budapest, Hungary