Hi Chris,
Sorry for the delay,
On 12 Sep 2014, at 03:07, 'Chris de Morsella' via Everything List wrote:
On 09 Sep 2014, at 05:16, 'Chris de Morsella' via Everything List
wrote:
Some pretty amazing adaptive behavior with clear strategic
awareness. It shows what even a small fish brain is capable of
(small as compared with a humans almost 100 billion neurons)
Thought you might enjoy watching this clip 80,000 neurons fire in a
zebrafish brain
http://www.sciencealert.com.au/news/20142907-25942.html
I watched it over a few times seeing this simple, yet still fairly
numerous 80,000 node + (multiple factors more synaptic connections)
network in dynamic action…. How it lights up then relaxes back into
lower activity; how activity in one region of the fish brain seems
to trigger or be associated with other areas that light up with
neural activity in a seemingly synchronized manner.
Yes. But not too much, or the fish get epileptic problems.
Fascinating. It looks like one of Telmo's graph, with an observable
dynamics.
Those transparent animals reminds me of the planar boolean graph of
the MGA ...
It makes me wonder if there are certain meta behaviors that large
highly networked and parallelized systems share in common.
Yes.
Most love bread and wine, and most hates taxes and death.
Wonder if there are certain equations that could express these, if
they do exist and again if such underlying common behavior exists if
a knowledge of them can help designers create better systems.
We can study machines with simple (but rich, löbian) beliefs, and then
by imposing simply some self-referentially correct constraints, we can
study the logic of their beliefs and variants in a way which does not
depend of the implementation. So if neural highly parallel system are
supposed to be "correct" or "meaningfull" in the appropriateness of
their response with respect to some highly probable local "reality",
then they will obey to the modal logical equations related to the
logic of self-reference. Now, some of those modal relations can still
be based on the mathematics of the 3p high level cellular automata, or
other parallel implementatioons, and diverse representation theorem
should not be excluded.
For example, how do large wide area networks link up, i.e. what is
the topology of their vertices? How do local area connections and
sub networks interact with and become affected by other dynamic
network activity that has a wide area scope and reach…. And the
role that long distance vertices have to play in linking the large
number of local groups into a cohesively functioning whole.
It might be similar to the ways news circulate on facebook or the net.
It might also be interesting to have map à la Telmo, managing the
dynamics of the "news and gossips" on the social net.
The dynamic functioning of highly parallelized, non-centrally
directed (or timed either) wide area networks, characterized by
having a plethora of regions of specialization, is something I find
of particular interest.
The ultimate reality is 0 dimensional, I think, assuming
computationalism and occam, but of course the fun is not in the
ultimate reality. It comes from inside where parallelism and dialog/
exchange might play a crucial role. Now, computationalism as a TOE
(arithmetic, computer science) has not yet a physical tensor product,
so hard to see if the number dreams cohere enough to have such stable
relationships.
A brain is when amoeba colonies got the cables, but in arithmetic, we
are not yet so advanced.
Bruno
-Chris
From: everything-list@googlegroups.com [mailto:everything-list@googlegroups.com
] On Behalf Of Stephen Paul King
Sent: Monday, September 08, 2014 3:23 PM
To: everything-list@googlegroups.com
Subject: Fish can communicate and UNDERSTAND each other!
http://phenomena.nationalgeographic.com/2014/09/08/when-your-preys-in-a-hole-and-you-dont-have-a-pole-use-a-moray/
I told you that most animals are less stupid than we might think :)
Stupidity grows with competence. With a big brain and agile hands,
you *can* blow up the planet.
Intelligence if of type <>t. You have <>t -> <> ~<>t. Consistency
entails the consistency of inconsistency.It is the basic roots of
all our human and living-being problems. I think.
I think that we can teach a planaria to move in a virtual
environment, and this could be handy to study simple natural neural
net. And copy them. Even for planaria (thousand of neurons, only 19
optical neuron entries) we might copy them a long time before
having a mathematical specification of the global functioning. The
extreme regeneration power of the planaria is also helpful in the
study of brain development.
http://www.scholarpedia.org/article/Planaria_nervous_system
or
http://rstb.royalsocietypublishing.org/content/363/1500/2071.full
n neuron machines can only support mathematical specification for m
neuron machines when m is much less than n.
Bruno
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Stephen Paul King
Senior Researcher
Mobile: (864) 567-3099
stephe...@provensecure.com
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