Hi, can we discuss possible Solomonoff induction flow for radio engineers?

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Hi,

can we at least discuss the following thing:

1. If we assume that the algorithmic complexity
of neural processes is relatively small
(you could take a look at the Potapov monography
for some arguments)

2. As far as I know a lot of neural processes in human brain are electric
(or electro-chemistry)
in nature. They have a little power and a small
frequency (~ 1-1000 Hz).
So they emit very low frequency radio waves.

3. You can detect those radio waves on
small antennas if the impedance of such antennas
is matched. This is basically the citation
from the book on electrodynamics.
I uploaded one such book on Twirpix site.

4. So you can create a lot of such receivers
- microstrip filter to filter very high frequencies
- impedance matched microstrip antenna
- resistor for noise for oversampling
- very fast comparator to sample signal
in a very large array on a chip using
standard CMOS or some sort of full-custom process
(maybe even with some new materials)

5. BreamForming and large arrays of digital correlators with sub-mm
positioning accuracy
could be achived.

so it seems there is no theoretical
obstacles to implement some sort of
RF human brain sensing or even control
if you can implement reverse structure
with array of a large amount of RF amplifiers
with sub-mm beam forming accuracy

See here more:
https://transitional-writes.dreamwidth.org/44972.html

Kirill Abramovich
Samara, Russia
[email protected]
[email protected]

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<div dir=3D"ltr"><div>Hi,</div><div><br></div><div>can we at least discuss =
the following thing:</div><div><br></div><div>1. If we assume that the algo=
rithmic complexity<br>of neural processes is relatively small<br>(you could=
 take a look at the Potapov monography<br>for some arguments)<br><br>2. As =
far as I know a lot of neural processes in human brain are electric (or ele=
ctro-chemistry)<br>in nature. They have a little power and a small <br>freq=
uency (~ 1-1000 Hz).<br>So they emit very low frequency radio waves.<br><br=
>3. You can detect those radio waves on<br>small antennas if the impedance =
of such antennas<br>is matched. This is basically the citation<br>from the =
book on electrodynamics.<br>I uploaded one such book on Twirpix site.<br><b=
r>4. So you can create a lot of such receivers<br>- microstrip filter to fi=
lter very high frequencies<br>- impedance matched microstrip antenna<br>- r=
esistor for noise for oversampling<br>- very fast comparator to sample sign=
al<br>in a very large array on a chip using<br>standard CMOS or some sort o=
f full-custom process<br>(maybe even with some new materials)<br><br>5. Bre=
amForming and large arrays of digital correlators with sub-mm positioning a=
ccuracy<br>could be achived.<br><br>so it seems there is no theoretical<br>=
obstacles to implement some sort of<br>RF human brain sensing or even contr=
ol<br>if you can implement reverse structure<br>with array of a large amoun=
t of RF amplifiers<br>with sub-mm beam forming accuracy</div><div><br></div=
><div>See here more:</div><div><a href=3D"https://transitional-writes.dream=
width.org/44972.html">https://transitional-writes.dreamwidth.org/44972.html=
</a></div><div><br></div><div>Kirill Abramovich</div><div>Samara, Russia</d=
iv><div><a href=3D"mailto:[email protected]">[email protected]</a></div><div>=
<a href=3D"mailto:[email protected]">[email protected]</a></div></div>

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