4 ms·
Amazing. One thing I'm not clear on is this: did they have to re-establish the brain activity -> muscle movements model for each patient? Because presumably tha
by bjackman 7y ago
Amazing. One thing I'm not clear on is this: did they have to re-establish the brain activity -> muscle movements model for each patient? Because presumably that wouldn't have worked for a paralysed patient. In that case, the question is how hard is it to generalise a brain activity model so that it can be trained on one population and then used to get data from a paralysed person's brain?
- fundamental 7y agoYes, typically in brain computer interface tasks there is a need for retraining models given different individuals or even the same individual on different days/weeks/months. In another summary page there is the statement: > The researchers also found that the neural code for vocal movements partially overlapped across participants, and that one research subject’s vocal tract simulation could be adapted to respond to the neural instructions recorded from another participant’s brain. Together, these findings suggest that individuals with speech loss due to neurological impairment may be able to learn to control a speech prosthesis modeled on the voice of someone with intact speech. As per paralyzed individuals that is a primary target of this area of research. Things get considerably more complex in those cases however as they would need to start out with a pre-trained model which couldn't be naturally adapted by listening to their own speech. Additionally any brain damage which many have contributed to their condition can impair some of the signals in question. Overall the particular problem seems to be advancing from when I worked with a lock-in patient last, but there's still a good ways to go.