I attached a promotional image that was required as part of the application:
It’s a great opportunity, but I’d also like to remind you that I can apply this to any existing dataset of electroencephalograms. I recall that in a meeting where the book “Neuroscience Research in Short-Duration Human Spaceflight” was presented, it was mentioned that they might share some EEG data they have, although I don’t think that will happen anytime soon. In any case, I’m also leaving a previous message here on the subject in case you ever find it useful:
I will soon share another post about an application of my method for predicting performance in mental arithmetic with very high accuracy, in fact, I have already shared with you the results regarding diagnosis in mental pathologies:
I usually share only publications, but essentially I can find almost anything in the brain as long as the EEGs are well labeled. With this, I want to greatly expand the potential of my method. I can do something similar with genes, but the computational cost would be extremely high if I wanted the same level of precision (though it could be worth it). I mention this because I’m not limited to EEG, however, in the case of genes, I wouldn’t want to limit myself only to diagnosis, since I know I can go directly to causality, although it is considerably more difficult.