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Jun. 9th, 2026 06:27 am![[personal profile]](https://www.dreamwidth.org/img/silk/identity/user.png){kind=small}
transitional_writesWhat about the application of the Solomonoff induction
to the RF sensing of human brain?
https://en.wikipedia.org/wiki/Talk:Solomonoff%27s_theory_of_inductive_inference
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
BTW I wrote that remark:
https://en.wikipedia.org/wiki/Talk:Solomonoff%27s_theory_of_inductive_inference
What about the application of the Solomonoff induction to the person to person information exchange?
to the RF sensing of human brain?
https://en.wikipedia.org/wiki/Talk:Solomonoff%27s_theory_of_inductive_inference
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
BTW I wrote that remark:
https://en.wikipedia.org/wiki/Talk:Solomonoff%27s_theory_of_inductive_inference
What about the application of the Solomonoff induction to the person to person information exchange?
no subject
Date: 2026-06-11 08:40 am (UTC)0822z ::ffff:80.234.76.107: at least we can try to intercept vision tract and use OpenCV to see what the other person sees
0823z ::ffff:80.234.76.107: or we can try to change what the other person sees
0823z ::ffff:80.234.76.107: I hope it is clear that it is not more complex then do that with the IP camera
0823z ::ffff:80.234.76.107: you just need RF front end that is possible to implement as it was shown
0824z ::ffff:80.234.76.107: tell it to RF engineers and machine learning ppl
0824z ::ffff:80.234.76.107: maybe other things may surprise you too
0833z ::ffff:80.234.76.107: if you think that the OpenCV of the vision tract is possible
0833z ::ffff:80.234.76.107: why not? you just need full-custom CMOS transiever with a lot of digital correlators.
0833z ::ffff:80.234.76.107: then you may be surpised that other thing are simpler to implement
0833z ::ffff:80.234.76.107: general inductive logic is just a finite state machine
0834z ::ffff:80.234.76.107: with a finite number of states
0834z ::ffff:80.234.76.107: at least you can try to check it
0834z ::ffff:80.234.76.107: maybe you will find that it is wrong
0837z ::ffff:80.234.76.107: because it may be connected to the quantum phusics itself
0839z ::ffff:80.234.76.107: but for vision you just need achivable RF front end
0839z ::ffff:80.234.76.107: and OpenCV
0839z ::ffff:80.234.76.107: you can start with the simple animals
0839z ::ffff:80.234.76.107: with a small number of neurons
no subject
Date: 2026-06-11 08:57 am (UTC)0852z ::ffff:80.234.76.107: https://transitional-writes.dreamwidth.org/44972.html?view=134572&posted=1#cmt134572
0852z ::ffff:80.234.76.107: https://transitional-writes.dreamwidth.org/44972.html
0855z ::ffff:80.234.76.107: 1. you can start with simple animals
0856z ::ffff:80.234.76.107: 2. but the ppl who I know did that experiments started with simple jokes with young fertile women
no subject
Date: 2026-06-11 09:20 am (UTC)0917z ::ffff:80.234.76.107: ppl try to think about. 1. intercept of the human brain impulses by the RF front end. 2. the task to recognize them by the things like OpenCV
0918z ::ffff:80.234.76.107: 1. first thing could be achieved. very low frequency waves could be received by the matched antenna. techniques like LTE beamforming and oversampling could be used to scan groups of neurons
0919z ::ffff:80.234.76.107: 2. this part is not different then that for IP cameras
0919z ::ffff:80.234.76.107: you can start with simple animals
0919z ::ffff:80.234.76.107: you can try to start with other simple tasks
0919z ::ffff:80.234.76.107: to move step by step from simple to more complex things