For example, if we were able to βReadβ neural pathways as a wearable, it mean our understanding of these pathways are so damn good weβre easily able to Manipulate them from the outside-in.
For right now, it's largely a matter of Digital Signal Processing and Machine Learning. Signals recorded from the scalp are very broad and spread out while signals from implants are local and easy to locate/map out. However for classifying movement directly from the brain, Noninvasive methods have about the same classification accuracy as Invasive (70-75%). There are many ways to improve on this and I think you will see some major improvements in Noninvasive BMIs with the advent of OPM-MEG sensors running at room temp. OPM-MEG practically eliminates the volume conduction of the signal moving through tissue and becoming distorted (think like an electric lightning bolt moving through air and randomly hitting the ground, this is the issue with EEG).
For right now, it's largely a matter of Digital Signal Processing and Machine Learning. Signals recorded from the scalp are very broad and spread out while signals from implants are local and easy to locate/map out. However for classifying movement directly from the brain, Noninvasive methods have about the same classification accuracy as Invasive (70-75%). There are many ways to improve on this and I think you will see some major improvements in Noninvasive BMIs with the advent of OPM-MEG sensors running at room temp. OPM-MEG practically eliminates the volume conduction of the signal moving through tissue and becoming distorted (think like an electric lightning bolt moving through air and randomly hitting the ground, this is the issue with EEG).
Excellent stuff, Iβm going to remember you my garden varietal pede, I have a lot of questions on these type of topics!
Sounds good! Ask away when your mind comes upon a question and I'll do my best to answer :)