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]
