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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 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