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Neural Information-processing Energy Consumption [was Re: Correlation [...]]

KP_PC k.p.collins at worldnet.att.net
Sat Nov 1 13:42:07 EST 2003


"OmegaZero2003" <OmegaZero2003 at yahoo.com> wrote in message
news:eeabfba6aa3cf3535dd74a9254353ed5 at news.teranews.com...
|
| "KP_PC" <k.p.collins at worldnet.att.net> wrote in message
| news:z6Dob.22995$Ec1.2035357 at bgtnsc05-news.ops.worldnet.att.net...
| > [...]

| > An over-abundance of neurons would only
| > 'get in the way' of convergence within the
| > global network.
|
|
| Nah!  Not at all!!

What I posted, quoted above, stands Proven.

It's simple.

Given that x neurons are required to embody
this or that 'thought' within the neural Topology,
a nervous system that has x neurons, will
converge more-rapidly, in a less-energy-con-
suming way, then will a nervous system having
x + n neurons.

The inherent energy consumption is a measure
of information-processing efficiency.

So, by imposing greater-than-necessary energy
consumption upon a nervous system's informa-
tion processing, an over-abundance of neurons
would only 'get in the way' of convergence within
the global network.

Q. E. D.

It's rather analogous to what happens in 'normal'
Research environments :-]

Why stuff that really Needs to be Done so rarely
actually is Done within 'normal' Research environ-
ments - over-abundance of folks, consuming all
the available energy relatively-wastefully.

'Normal' Research environments actually coerse
such greater-than-necessary energy consumption.

So, it not only stands Proven, it Matters greatly.

k. p. collins





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