@BrettFrischmann Computation has many languages that are continuously evolving. The problem lies in the what we choose to measure and how we choose program the interpretation of that data.
@vineettiruvadi Depends on how big your original dataset is, otherwise using your postulate everything in science is wrong because we never have 100% of the data.
Interested in making a wireless BCI? I just made some interactive graphs for the dielectric properties of brain (and body) tissues to help you pick the power levels and frequencies for your transceivers. https://t.co/2vcAM7D9yW
@cfarivar @jevanhutson @BuffyWicks@Cunning_Jordan This is a good step forward but it has been many years since manufacturers started obtaining data this way. We need something similar for brainwaves and hopefully sooner than later.
Some awesome software by @caglorithm, @jajcayn, @ChristophMetzn1, and @FabianKamp.
Thanks for keeping the neuro world open source =)
https://t.co/goe9W3umlM
@rjblaskiewicz@KenDilanianNBC @waltshaub to wit:
"Effects of acoustic heterogeneities on transcranial brain imaging with microwave-induced thermoacoustic tomography"
https://t.co/6F2CUxV7g5
#evilrobotnews... 😉 "#wearenotinkansasanymore" (and have not been, for some time...)