<html><head><meta http-equiv="Content-Type" content="text/html charset=iso-8859-1"></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space;">I would caution again that the brain might know much more about the structure of the world at birth than we know.<div><br></div><div>That makes the traditional feedforward approach to object recognition (and learning) suspect.</div><div><br></div><div>IMHO</div><div><br></div><div>Jim bower</div><div><br></div><div><br></div><div><div>On Mar 14, 2014, at 1:17 PM, Juyang Weng <<a href="mailto:weng@cse.msu.edu">weng@cse.msu.edu</a>> wrote:</div><br class="Apple-interchange-newline"><blockquote type="cite">
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> It's clear that language and general intelligence doesn't
require it.<br>
<br>
This is clearly wrong if you know and understand our DN. I believe
that any brain theory will miss the boat if it cannot explain the
First Principle. The brain is not just an information processor, it
is first a developer for the information processor. If one does not
understand how the information processor develops, he definitely
misses the boat in explaining how the brain processes information. <br>
<br>
That is why although "theories of the brain will come in at multiple
levels of abstraction", they may miss the boat.<br>
The brain uses a single architecture to do all brain functions we
are aware of! It uses the same architecture to do vision, audition,
motor, reasoning, decision making, motivation (including pain
avoidance and pleasure seeking, novelty seeking, higher emotion,
etc.).<br>
<br>
-John <br>
<br>
<div class="moz-cite-prefix">On 3/13/14 9:40 PM, Brian J Mingus
wrote:<br>
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<blockquote cite="mid:CAJ=QoBSv639L_NRUwbOQ7D5hEBOQJc_hwSQ=Tquc60N41ESdsg@mail.gmail.com" type="cite">
<div dir="ltr">Hi John,
<div><br>
</div>
<div>Theories of the brain will come in at multiple levels of
abstraction. A reasonable first pass is to take object
recognition as a given. It's clear that language and general
intelligence doesn't require it. Hellen Keller is a great
example - deaf and blind, and with patience, extremely
intelligent. Visual and auditory object recognition simply
aren't required! </div>
<div><br>
</div>
<div>Brian<br>
<div><br>
</div>
<div><br>
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<div class="gmail_extra"><br>
<br>
<div class="gmail_quote">On Thu, Mar 13, 2014 at 6:38 PM, Juyang
Weng <span dir="ltr"><<a moz-do-not-send="true" href="mailto:weng@cse.msu.edu" target="_blank">weng@cse.msu.edu</a>></span>
wrote:<br>
<blockquote class="gmail_quote" style="margin:0 0 0
.8ex;border-left:1px #ccc solid;padding-left:1ex">Danko,<br>
<br>
Good attempt.<br>
<br>
Any theory about brain/mind must address the First
Principle: How it learns visual invariance directly from
natural cluttered environments.<br>
Your article does not seem to address the First Principle,
does it?<br>
<br>
-John
<div class=""><br>
<br>
On 3/7/14 11:22 AM, Danko Nikolic wrote:<br>
<blockquote class="gmail_quote" style="margin:0 0 0
.8ex;border-left:1px #ccc solid;padding-left:1ex">
I believe that the readers of Connectionists list my be
interested in the manuscript available on arXiv
(1402.5332) proposing the principles by which adaptive
systems create intelligent behavior. It is a theoretical
paper that has been recently submitted to a journal, and
the editors agreed to post it on arXiv.<br>
<br>
A nice context for this manuscript is, I think, the
recent discussion on Connectionists list on "how the
brain works?", -- including the comparison to how the
radio works, arguments that neuroscience has not reached
the maturity of 19th century physics, that the
development should be an essential component, etc.<br>
<br>
I assess that anyone who enjoyed following that
discussion, like I did, would be interested also in what
the proposed theory has to say.<br>
<br>
The theory addresses those problems by placing the
question of brain workings one level more abstract than
it is usually discussed: It proposes a general set of
properties that adaptive systems need to have to exhibit
intelligent behavior (nevertheless, concrete examples
are given from biology and technology). Finally, the
theory proposes what is, in principle, missing in the
current approaches in order to account for the higher,
biological-like levels of adaptive behavior.<br>
<br>
For those who are interested, I recommend using the link
on my website:<br>
<br>
<a moz-do-not-send="true" href="http://www.danko-nikolic.com/practopoiesis/" target="_blank">http://www.danko-nikolic.com/practopoiesis/</a><br>
<br>
because there I provided, in addition, a simplified
introduction into some of the main conclusions derived
from the theory.<br>
<br>
I would very much like to know what people think.
Comments will be appreciated.<br>
<br>
With warm greetings from Germany,<br>
<br>
Danko Nikolic<br>
<br>
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<br>
-- <br>
</div>
--<br>
Juyang (John) Weng, Professor<br>
Department of Computer Science and Engineering<br>
MSU Cognitive Science Program and MSU Neuroscience Program<br>
428 S Shaw Ln Rm 3115<br>
Michigan State University<br>
East Lansing, MI 48824 USA<br>
Tel: <a moz-do-not-send="true" href="tel:517-353-4388" value="+15173534388" target="_blank">517-353-4388</a><br>
Fax: <a moz-do-not-send="true" href="tel:517-432-1061" value="+15174321061" target="_blank">517-432-1061</a><br>
Email: <a moz-do-not-send="true" href="mailto:weng@cse.msu.edu" target="_blank">weng@cse.msu.edu</a><br>
URL: <a moz-do-not-send="true" href="http://www.cse.msu.edu/%7Eweng/" target="_blank">http://www.cse.msu.edu/~weng/</a><br>
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<pre class="moz-signature" cols="72">--
--
Juyang (John) Weng, Professor
Department of Computer Science and Engineering
MSU Cognitive Science Program and MSU Neuroscience Program
428 S Shaw Ln Rm 3115
Michigan State University
East Lansing, MI 48824 USA
Tel: 517-353-4388
Fax: 517-432-1061
Email: <a class="moz-txt-link-abbreviated" href="mailto:weng@cse.msu.edu">weng@cse.msu.edu</a>
URL: <a class="moz-txt-link-freetext" href="http://www.cse.msu.edu/~weng/">http://www.cse.msu.edu/~weng/</a>
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