As Ben suggests, clearly Granger’s title claims to much.  At best the
article suggests what may be some important aspects of the computational
architecture of the human brain, not anything approaching a complete
instruction set.



But as I implied in my last post to Richard Loosemore, you have to forgive
academics for aggressive marketing, because “publish or perish” seems to
have replaced by “market or perish.”



The serialization of spreading activation described in Granger’s paper and
on this list represents what in Novamente would appear to label as an
“ambient activation process”, because it is largely bottom up.



I personally found the paper’s description of the Basil Ganglia quite
interesting. The basil ganglia receive a lot of midlevel-and-above-up
activation from the prefrontal and motor lobes.  Many believe that at
least within each of multiple different channels (which may be
hierarchical, with some having control over others) it performs some sort
of go-no-go and/or winner-take-all or K-winner-take-all) action selections
function.  This relates not only to motor functions but also to mental
functions.  So, as opposed to the ambient activation process described
above, the Basil Ganglia may represent a more top-down
goal-and/or-value-driven attention control process.



In fact, for about my last hour at the Similarity Summit 2007 I had one of
those "really fascinating conversations" with Todd Huffman (
<mailto:[EMAIL PROTECTED]> [EMAIL PROTECTED]), a brain science type.
Near the end of our time together I told him I had developed a hunch that
the basil ganglia could select a synchronicity signal of interest, say
that being currently received by a node of emotional or goal-related
importance.  Then -- through the intralaminar nuclei which appears to be
influenced by the basil-ganglia (and which are know to be essential to
consciousness) -- the cortico-thalamic feedback loop could give
preferential dis-inhibition to the individual cortico-thalamic loops of
cortical columns from almost any part of the cortex that were firings in
sync with the selected synchronicity.



Both he and his female friend said that what I had guessed was a known,
current hypothesis in brain science.



This would, in effect, let the brain tune in on what was exciting that
node of importance.  In effect, providing a way to do current
context-specific backward chaining.  A somewhat similar process could be
used for forward chaining, and for giving preferential activation to a
whole ensemble of activations distributed throughout different parts of
the cortex.



If there were some mechanism for back propagating the synchronicity used
for such selective tungin -- such as through the reciprocal links that
exist at almost every level in the cortex and/or by the action of the
synchronicity favoring nature of the cortico-thalamic feedback loop,
itself, combined with the ability of synchronicity signals to represent a
changing mix of multiple different multiplexed signals-- then such context
specific backward chaining could spread through multiple activation hops.
Since synchronicity is often observed at multiple relatively distant parts
of the brain at once, there is reason to believe this might be possible.
(Although there are other models for synchronicity spreading, such as
those involving rippling waves of dis-inhibitation in the reticular
thalamic nuclei, which might, conceiveable, be activated by the Granger's
serialzed activations.)



In any case, if I don’t get jumped on again for daring to share thoughts
that are outside the box of the proven and/or totally thought-out, I think
Granger’s paper also providing useful information, at least to me, about
the basil ganglia.  I value such information because the basil ganglia
appears to be part of the machinery that provides top down control for the
cortex and plays an important role in goal, sub-goal, and conscious
attention selection.


Edward W. Porter
Porter & Associates
24 String Bridge S12
Exeter, NH 03833
(617) 494-1722
Fax (617) 494-1822
[EMAIL PROTECTED]



-----Original Message-----
From: Benjamin Goertzel [mailto:[EMAIL PROTECTED]
Sent: Sunday, October 21, 2007 3:05 PM
To: [email protected]
Subject: Re: Bogus Neuroscience [WAS Re: [agi] Human memory and number of
synapses]



Loosemore wrote:





Edward

If I were you, I would not get too excited about this paper, nor others
of this sort (see, e.g. Granger's other general brain-engineering paper
at http://www.dartmouth.edu/~rhg/pubs/RHGai50.pdf).

This kind of research comes pretty close to something that deserves to
be called "bogus neuroscience" -- very dense publication, full of
neuroanatomic detail, with occasional assertions that a particular
circuit or brain structure corresponds to a cognitive function.  Only
problem:  the statements about neuroanatomy are at the [Experienced
Researcher] level, while the statements about cognitive functions are at
the [First Year Psychology Student Who Took One Class In Cog Psy And
Thinks They Know Everything] level.

The statements about cognitive functions are embarrassing in their
naivete.


Richard, I think you do have a point, but as often, I think you overstate
it ;-)

The title of one of Granger's other papers makes an interesting point:

Granger R (2006) Engines of the Brain: The computational instruction set
of human cognition. AI Magazine (In press)

Let's suppose that he is right and he has found, in some moderately
accurate metaphorical sense, "the computational instruction set of human
cognition."

It's not really clear what this means....

For instance, let's suppose that Susan Greenfield is roughly right -- and
concepts, when they rise to attention, take the form of transient neural
assemblies, each one of which is assembled based on a core of complexly
interconnected neurons.

Then, the most Granger's "instruction set" would explain would be some of
the mechanics by which these transient neural assemblies form.

He refers to olfaction a lot, but Walter Freeman showed years ago that
rabbit olfactory cortex is full of complex strange attractors that play a
role in olfactory recognition.  Most likely similar complex strange
attractors (and associated strange transients, associated with
Greenfieldian transient assemblies) play a role in cognitive cortex ...
but Granger's work tells you none of this.  At best it tells you the
low-level neural structures and operations that mediate the emergence of
these complex dynamics...

So, when Granger talks about language learning and language processing,
yeah, he seems to be WAY oversimplifying things.  Maybe the mechanisms he
isolates really ARE in some sense the basic operations underlying
linguistic facility, but surely not in the simplistic sort of way he
alludes to.  Rather, if he's right, it would most likely be because the
mechanisms he isolates serve as the infrastructure for some complex
dynamical process giving rise to the strange transient assemblies
representing linguistic concepts and structures.

But then there are a couple missing links,
-- explain how Granger's mechanisms or something analogus gives rise to
Greenfieldian strange transients, with Freeman-like strange-attractor
aspects
-- explain how this Greenfield/Freeman stuff can give rise to complex
behaviors like language learning

In some chapters in my books Chaotic Logic and From Complexity to
Creativity, in the late 1990's, I attempted to explain the latter, but
didn't finish the job as I got distracted with AI ;-)

Basically, one can look at a strange attractor and model its dynamics
using formal grammar theory.  So, grammars can emerge from complex
dynamical systems.  This is a means via which symbolic systems can
palpably emerge from subsymbolic systems.  In physics it's called
"symbolic dynamics."

Anyway I'm digressing too much into my own weird brain theories (which btw
are only loosely connected to Novamente) -- my point is that SOME
additional theories like this are necessary to connect Granger's neural
ideas to cognition .. you can't just hack them together with glib verbiage
as he seems to do in some passages in his papers...

OTOH I find his discussion of various issues in neuroscience quite
insightful...

-- Ben G

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