back to indexElon Musk: Brain Computer Interfaces - Machine Learning and Neuroplasticity
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- On the human side, there's this incredible general 00:00:09.540 |
- It's not that plastic, to be totally frank. 00:00:11.700 |
- So there's a firm structure, but nevertheless, 00:00:14.800 |
there is some plasticity, and the open question is, 00:00:20.220 |
is how much of that plasticity can be utilized? 00:00:23.220 |
So on the human side, there's some plasticity 00:00:42.700 |
and then we're trying to understand that language 00:00:49.700 |
we don't know how much, and the machine is adjusting. 00:00:52.820 |
Where do you see, as they try to sort of reach together, 00:00:58.340 |
try to find a protocol, communication protocol, 00:01:01.460 |
that works, where do you see the biggest benefit 00:01:06.060 |
arriving from, on the machine side or the human side? 00:01:10.660 |
- I think the machine side is far more malleable 00:01:15.580 |
So it'll be the machine that adapts to the brain. 00:01:22.260 |
the brain can't adapt that well to the machine. 00:01:35.140 |
So there is that elasticity in the interface, 00:01:39.140 |
which we believe is something that can happen, 00:01:48.060 |
at that synaptic plasticity at the interface side, 00:01:55.260 |
'cause it's a whole nother, it's not in the brain, 00:02:04.620 |
So maybe the brain is able to adjust to external interfaces. 00:02:07.860 |
- There will be some adjustment to the brain,