Sorry for my delay.
Sorry again, but I have training in
neural networks using the system
of "tlearn" and further correlated systems
(Oxford-MIT framework), and in this
type of simulation we don't know what
are "oscillon" and "wavelet".
Can you explain it?
hod.
> Yes, you are correct the renormalization is an optimization protocol.
True,
> there is an evolutionary connect. But the question of why and how
remains.
> The why and how is simple "correlational opponent processing" or
> "associative reciprocal inhibition" via wavelets and wavelet filtering in
a
> global/local oscillon system.
>
> Ron Blue
> http://turn.to/ai
>
> > Because the brain will ever renormalize the sequence
> > of sensorial inputs to the better internal adaptation to
> > the external sent "image".
> > This will occur in selective basis: the neural nets are
> > "genetically prepared" to optimize any type of stimuli
> > they find in the natural environment (it means: ANY
> > type of stimuli of any environment: one subtype however
> > can be easier than others to assimilate due to the natural
> > selection in the evolutionary "natural" environment).
> > For instance, if you try the famous experience of the
> > inverted lens (glasses), the subject (usually an unlucky
> > first semester student of psychology) will "see" normally
> > after only two weeks. His brain will correct the image
> > after a continuos (but finite) automatic and uncounscioness
> > attempts to understand the new visual environment
> > (the multiple drafts of Dennet).
> > Regards from the JUNGLE
> > Ricardo Holmer Ohara "Hod"_ BRASIL
> >
> >
> > >
> > > ********************************************************************
> > > Don Allen email: [EMAIL PROTECTED]
> > > Dept. of Psychology voice: (604)-323-5871
> > > Langara College fax: (604)-323-5555
> > > 100 W. 49th Ave.
> > > Vancouver, B.C.
> > > Canada, V5Y 2Z6
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> > >
> >
> >
>
>
>
