New evidence from neuroscience wet labs and AI give us a radically new understanding of how brains really work. Saving the World: How Our Brains REALLY work: best new information on functional neuroscience (drpauljohn.blogspot.com) That in turn gives us a new, more complete answer to the basic question: How do genes and hormones like gender affect the brain?
I owe great thanks to the three brilliant
women who led me to explain that answer this week. They got me started by commenting
on recent Harvard research on brain
differences between males and females, and on the trouble Larry Summers got
into when he speculated on that issue. They strated by citing:
After my initial
response, getting into how brains work, I received three replies, and then got
deeper into how brains work in my final reply.
My INITIAL RESPONSE
-------------------------------------------------
On a quick glance...
I am reminded how many
papers with the words "sex" or "soul" or "God" in
them activate hot buttons in the reader which tend to blot out what the authgor
was really working on. But even authors can get mixed up; I remember many
proposals at NSF whether the project summary and the actual project seemed to
be "on different planets," showing and espousing totally different
things.
HAVING studied brains
in incredible detail... here not only published papers but unpublished ones and
conference discussions which SHOULD have gone further.,.. held back by sheer
complexity... I interpret the main results as follows.
Mammal brains like
ours COMBINE a universal learning ability (to learn new weights W and new
connections) TOGETHER WITH important, informative INITIAL WEIGHTS. (And also
some other parameters, like cognitive style and value weights.) E.O.
Wilson, whom I cite a lot in one of my early unpublished papers from
Harvard days on this topic, ALSO spends a lot of pages in his classic book
Sociobiology on "predispositions," which includes INITIAL WEIGHT
INITIAL BEHAVIORS which are easily unlearned. There are many many examples
in the animal world. (I seem to recall a teenage gorilla looking puzzled
and thinking "WHY am I building this dumb nest which has no use at all
here?", outgrowing a behavior which HAD been useful in an environment he
never grew up in.)
And that's pretty much
the core of it. My understanding of how brains work (.e.g in Werbos and Davis)
builds on Lashley, Pribram and Freeman, asserting a UNIVERSAL LEARNING
capability in the higher, larger part of mammal brains (including
human ones). (Humans have a little more, but no difference in the new
machinery between males and females.)
This paper also
reminds me of a woman I met briefly, who spoke at one of Bob Narendra's workshops
at Yale -- the woman who took over for Patricia Goldmann-Rakic, one of the
world's top systems neuroscientists before her death in a car crash.
If I were still
handling brain stuff for NSF, that woman at Yale would have a central role,
because of the unique importance of HER fundamental work. She was CONNECTING
endocrinology and functional neuroscience, showing for example how dozens of
hormones in the bloodstream change the fundamental neural dynamics which
Patricia helped us understand. That is such an important connection! But males
and females both experience ups and downs which sometimes strengthen and
sometimes blot out their higher abstract intellectual abilities. It helps to
understand what is going on.
===========================================
================================
THE THREE REPLIES
======================================================
FIRST-------------------------------------
Larry spoke on gender differences at a private conference on the
position of women and minorities in science and engineering, hosted by the National Bureau of Economic
Research. a lengthy address delivered without notes
As an example, Dr Summers told
the conference about giving his daughter two trucks. She treated them like
dolls, and named them mummy and daddy trucks, he said.
This reminds me of a story one
of us told about one of his daughters making a family out of counting bears
instead of mechanically grouping and counting them. She was onto something,
because the essence of counting objects is that they are identical, and whoever
invented counting bears should have realized that adding a pink mama bear to a
green daddy bear doesn't just create two bears, but a new object -- a family
unit ;) Boys most likely don't care about such social constructs early in life.
I don't know who larry's daughter became, but this girl moved on to get a PhD
in hard science.
SECOND
REPLY------------------------------------------------------------------------------
Of course, women are different from men.
However, insinuating that women are inferior to men got Summers in trouble --
deservedly in my opinion. He should have been smarter in how to express
his belief or better a scientific fact!
THIRD
REPLY-----------------------------------------------------------------------------
We always knew it is right. This belongs
to the things we should not say - women and men are different
shhhh..... :-)
============================================
MY FINAL REPLY:
============================================================
Discussing the Harvard
woman's paper further.. the commenters rightly noted that universal
learning ability does NOT make males and females learn the same.
Male versus female is
just one special case of what genes do to us -- XX versus XY in this case.
I mentioned THREE
types of effects of genes on behavior:
(1) Predispositions
which can be unlearned;
(2) Deep hardwired
VALUE parameters, not for the learned values, but for primary
reinforcement, for the
utility function which
the rest of the brian learns to ,maximize; and
(3) cognitive style
parameters, basically like the learning rates or learning rate parameters which
any competent neural network system has (even when it has adaptive learning
rates).
The actual circuits we
observe in brains cut across many parts of the brain, and are the COMBINED
result of all three genetic effects and many levels of learning. Approaching
these circuits as ONE THING can be very misleading. I liked that Yale woman who
disentangled dozens of hormones.
The commenters
mentioned a male mouse eating baby mice instead of building a nest. Yes,
that example is very different from the example of a young gorilla,
which was about unlearning a predisposition(genetic effect 1). It was
basically about that male not loving the babies as much as the mother mouse
did. That is governed by a utility function parameter, genetic effect type
2. Love is not a scalar hardwired thing, but it is certainly AFFECTED by
genetic things. Like an adaptive learning rate, it changes, but there are
genetic factors affecting how it changes.
Why don't we
have a paper on this? Good point. I can help, but I can't write.
It's ironic that my English is usually so inferior to that of the rest of you.
I guess THAT is an example of learning effects! (Actually, of all three types
of starting point effects as well!)
[I actually do have an
old paper buried in my deep files, which makes the key points in
connections with sociobiology and international politics. In truth, Karl
Deutsch asked me to wrote it for his festschrift, he liked it, but the editor
at MIt said "these things have nothing to do with cybernetics." That
was back when I started a new faculty job at UMCP, and was a PI on a DARPA
grant I focused my energy on. No time for stuff they weren't interested
in.
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