WEBVTT - Neural Pixie Dust

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<v Speaker 1>Welcome to Stuff to Blow Your Mind from how Stuff

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<v Speaker 1>Works dot com. Hey, welcome to Stuff to Blow your Mind.

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<v Speaker 1>My name is Robert Lamb and I'm Julie Douglas. Julie,

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<v Speaker 1>I think most of our listeners probably tuned into our

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<v Speaker 1>episode but the future Shot, so they are probably familiar

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<v Speaker 1>with the concept. But even if they're not familiar with

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<v Speaker 1>the concept the future shot, I think they might feel

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<v Speaker 1>a little of it. Let's get through with this episode. Yeah,

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<v Speaker 1>because the toddlers in Future Shot talked about this idea

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<v Speaker 1>of having these sort of neural prosthetics. I didn't call

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<v Speaker 1>him that, but it's more like brain computer interfaces. And

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<v Speaker 1>this was a wild idea in the seventies. But hey,

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<v Speaker 1>let's let's get real here. I mean, this thing is happening.

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<v Speaker 1>In two thousand and three, the world's first brain prosthesis

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<v Speaker 1>was put into an animal, and then just this year

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<v Speaker 1>there was an auditory brain implant in a toddler. So

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<v Speaker 1>we can see that this is becoming more and more common.

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<v Speaker 1>And I attended a panel at the World Science Festival

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<v Speaker 1>on this very topic. It's called cells to silicon your brain.

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<v Speaker 1>And by the way, it always seems to be like

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<v Speaker 1>the the year that all this stuff is going to

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<v Speaker 1>be here for real. I don't know if you've noticed that,

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<v Speaker 1>but they talked about the steps there that they're taking

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<v Speaker 1>right now to make this more of a reality. And

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<v Speaker 1>we'll talk about that in a second. Yeah. Yeah, to

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<v Speaker 1>your point, those are the new two thousand's, I guess,

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<v Speaker 1>the years we can look to and say, this is

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<v Speaker 1>the technology we're gonna have, This is the life we're

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<v Speaker 1>gonna have because of these advancements. And to your point,

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<v Speaker 1>we've seen some pretty impressive steps made thus far. I mean,

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<v Speaker 1>the uh cyborg rat with the with the brain berth

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<v Speaker 1>thesis and cyborg Toddler. It's pretty great now not to

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<v Speaker 1>not to to get too caught up in the idea

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<v Speaker 1>of the cyborg, because if we've we've discussed before, technological

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<v Speaker 1>adaptations on your body, inside your body are becoming more

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<v Speaker 1>and more every day, you know, ranging from a pacemaker

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<v Speaker 1>to a risk watch, and so we're just seeing the

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<v Speaker 1>natural extrapolation of that idea. Yeah, you're augmenting your natural abilities, right.

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<v Speaker 1>I wear glasses, so I'm augmenting my vision. Yeah. None

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<v Speaker 1>of this makes anybody less human. All it does is

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<v Speaker 1>either makes up for injuries or or or some sort

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<v Speaker 1>of shortcomings in one's biology, or it is it is

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<v Speaker 1>gaming the system a bit, or maybe gaming the system

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<v Speaker 1>a lot, depending on what the augmentation is well. And

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<v Speaker 1>you would need this sort of gaming of the system

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<v Speaker 1>quite a bit if you were someone like I say,

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<v Speaker 1>stroke patient who have lost the ability to move your limbs.

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<v Speaker 1>And neuroscientists John Donohue was actually talking about this on

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<v Speaker 1>the panel. Specifically, he referenced a stroke patient named Cathy,

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<v Speaker 1>and he showed this film of her. She sustained permanent

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<v Speaker 1>damage to her brain and as a result, the axons

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<v Speaker 1>that run along her spine and deliver information from her

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<v Speaker 1>motor cortex or her limbs were incapacitated, and so she

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<v Speaker 1>was relegated to a life in a wheelchair with others

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<v Speaker 1>helping her to move and to feed her. And then

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<v Speaker 1>she signed on to this five year experiment with Donna

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<v Speaker 1>Hue and others other researchers, and there was an implant

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<v Speaker 1>inserted into her brain that interacted with robotic arms that

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<v Speaker 1>would do some things for her, like like get the coffee,

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<v Speaker 1>like actually bring coffee to her lips, which she hadn't

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<v Speaker 1>done for years. Yeah, in the video footage, of this

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<v Speaker 1>is pretty remarkable because, yeah, she has not in and

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<v Speaker 1>over a decade, she has not raised a cup of

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<v Speaker 1>coffee to her own lips, of her own volition, and

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<v Speaker 1>now she's doing it. She's thinking the robot arm into action.

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<v Speaker 1>It's there's nothing, you know, she's not moving anything with

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<v Speaker 1>their tongue, it's nothing with their muscles. It's all inside

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<v Speaker 1>her mind. She's thinking about the movement and it is happening,

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<v Speaker 1>and it's amazing. It's it's it's the stuff that you

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<v Speaker 1>would often think, even today, you tend to think of

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<v Speaker 1>as science fiction, the idea that I'm commanding a machine

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<v Speaker 1>with my mind, I'm moving something other than my physical

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<v Speaker 1>body with my mind, and yet here it is. Yeah,

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<v Speaker 1>it is amazing. And so how do you get your

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<v Speaker 1>thoughts externally out there to do something for you. Well,

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<v Speaker 1>it turns out that what you do is you insert

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<v Speaker 1>a wire into the r motor cortex. And what this

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<v Speaker 1>wire is doing, it's just it's not a very big wire,

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<v Speaker 1>so it's not like she's got things, you know, sticking

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<v Speaker 1>out of her head. But what it's doing is it's

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<v Speaker 1>fishing for neural spikes. Now, what are neural spikes? Okay,

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<v Speaker 1>every time neurons fire in the brain, they're shuttling ions

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<v Speaker 1>back and forth, and there's an electrical potential change there.

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<v Speaker 1>So if you have a wire inserted into the brain

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<v Speaker 1>that can detect that electrical change and when it does, uh,

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<v Speaker 1>you know, changes in the ions when you're on stir

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<v Speaker 1>about and meat Uh, it will actually transmit information out

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<v Speaker 1>to a computer to say, I detect neural activity here

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<v Speaker 1>right now, and it's measuring that. So we've talked about

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<v Speaker 1>this before with the Jennifer anistone neurons. I think that's

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<v Speaker 1>what we called them. That when someone is thinking about

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<v Speaker 1>Jennifer Anderson, some people I which I should say not everybody,

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<v Speaker 1>you will see a spike in neuronal activity because there's

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<v Speaker 1>a whole database of information and memory they are related

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<v Speaker 1>to Jennifer Aniston and so the signal is really very strong. Well,

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<v Speaker 1>the same thing happens when you're thinking and you're concentrating,

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<v Speaker 1>like I would like to move my arm right now,

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<v Speaker 1>and I'm trying to think about moving my arm. All

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<v Speaker 1>of those neurons which sort of coalesced together to give

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<v Speaker 1>off a strong signal, and that's what that wire could detect,

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<v Speaker 1>identifying what that signal looks like and then feeding it

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<v Speaker 1>out to this machine. I I often in looking at

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<v Speaker 1>this topic, I keep thinking of it in terms of

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<v Speaker 1>the road, like a mountain road. The early examples we

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<v Speaker 1>talked about that the rat prosthesis that had to do

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<v Speaker 1>with the damaged hippocampus, or the the toddler um prosthesis,

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<v Speaker 1>which specifically was an auditory brain stem and plant. These

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<v Speaker 1>are cases where you have point A, point B, and

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<v Speaker 1>point C. All right, you know you have a road,

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<v Speaker 1>imagine a road across the mountains from your house to

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<v Speaker 1>the store. But then that middle point is is a

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<v Speaker 1>part of the road that's washed away by by a flood.

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<v Speaker 1>So what do you do? How do you get from

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<v Speaker 1>A to to C? Well, you put a bridge over it, right,

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<v Speaker 1>And that's what a lot of this technology is figuring

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<v Speaker 1>out how to fill in that that gap, to how

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<v Speaker 1>to bridge that gap from from one from a healthy

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<v Speaker 1>part of the brain to another healthy part of well,

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<v Speaker 1>let's just say, a healthy part of the chain of

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<v Speaker 1>of of action and reaction to to bridge that gap,

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<v Speaker 1>you know, in a way that lets you function again.

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<v Speaker 1>And then in this we see we see a situation

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<v Speaker 1>where we're not only bridging the gap. We're building the

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<v Speaker 1>bridge out of the organism itself into an external system,

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<v Speaker 1>an external robotic system. You're right, because in this case,

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<v Speaker 1>point A is the neuronal activity. Point B would normally

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<v Speaker 1>be those acts on in her spine, but because they

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<v Speaker 1>can't send the signals to the body, what we're doing

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<v Speaker 1>here are what researchers are doing is they're taking those

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<v Speaker 1>signals out externally, out of the organism, as you say,

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<v Speaker 1>into the computer to decode that neuronal activity, and then

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<v Speaker 1>points C would be the robotic arms instead of her

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<v Speaker 1>own arms. And what is so amazing, so fascinating about

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<v Speaker 1>this is that what they're doing is that they're taking

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<v Speaker 1>the sounds that that these neuronal spikes made and they're

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<v Speaker 1>decoding them. So you might have like five blips that

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<v Speaker 1>that really mean move the arm to the right. You

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<v Speaker 1>might have seven blips that are decoded as move the

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<v Speaker 1>arm to the left, and that is then being put

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<v Speaker 1>into the robotic arm as a command. So the fact

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<v Speaker 1>that they can even take the information out and decode

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<v Speaker 1>it in a way that makes sense um and then

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<v Speaker 1>obviously matches up to what Cathy is thinking because she

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<v Speaker 1>can corroborate that. Yeah, you really get the sense. It's

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<v Speaker 1>almost like listening to a conversation through a wall, and

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<v Speaker 1>they're making sense of it through uh in sort of

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<v Speaker 1>indirect ways, but they're getting enough information out of it.

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<v Speaker 1>They're getting they're they're getting enough of the points they

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<v Speaker 1>get their high highlighting those neural spikes and then figuring

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<v Speaker 1>out what it's it's asking for and then reproducing it. Now,

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<v Speaker 1>the crazy thing about this, it's that they are getting

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<v Speaker 1>this neuronal activity from just a sampling of the neurons.

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<v Speaker 1>So maybe about fifty neurons out of the billions of

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<v Speaker 1>neurons in your brain, uh or the billions of synapsis.

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<v Speaker 1>So that's I mean, that's tiny, that tiny bit of

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<v Speaker 1>neural activity can be picked up and then acted upon.

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<v Speaker 1>I believe in the in the in they talk to you

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<v Speaker 1>you attended World Science Festial Robert crow which Um compared

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<v Speaker 1>it to to voting, where you have like a small

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<v Speaker 1>portion of the population that's voting and the rest are

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<v Speaker 1>not voting, but you're you're figuring out what the public

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<v Speaker 1>wants as a whole based on this small sample. And

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<v Speaker 1>that's kind of what's happened here with the with this situation. Yeah,

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<v Speaker 1>definitely check this out. You can go to RORLD Science

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<v Speaker 1>Festival to their website and just look for cells to

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<v Speaker 1>Silicon and you can see this talk. It's really great. Um,

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<v Speaker 1>so there are drawbacks this of course. There's the idea

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<v Speaker 1>that it may not be something that you could have

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<v Speaker 1>in your brain long term. Kathy has had it for

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<v Speaker 1>five years. She hasn't had any problems. But we know

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<v Speaker 1>that the body doesn't like foreign objects in it. That's true. Also,

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<v Speaker 1>it's worth noting that the robotic reach and grasp actions

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<v Speaker 1>are not going to be as fast as or as

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<v Speaker 1>accurate as those of the enable bodied person. I think

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<v Speaker 1>that's that's that should be pretty obvious. We're not at

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<v Speaker 1>the point in the technology where it's going to be

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<v Speaker 1>a one for one, but but it's it's a step

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<v Speaker 1>in that direction. Yeah, and uh. Donny Hue says that

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<v Speaker 1>the neural spikes are not always the same from trial

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<v Speaker 1>to trial. In other words, there's five blips, might be

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<v Speaker 1>six flips the next time or seven, and so they

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<v Speaker 1>have to figure out the pattern each time. And he

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<v Speaker 1>said that it's very likely that those neural spikes are

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<v Speaker 1>influenced by other conditions at the time, so it could

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<v Speaker 1>be hunger, it could be a particularly emotional state or

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<v Speaker 1>a physical state. UM, which is all really fascinating because

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<v Speaker 1>we've talked about a propri reception before, and we talked

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<v Speaker 1>about it and people who have lost the ability to

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<v Speaker 1>move their limbs and um, and how all of this

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<v Speaker 1>influences the body, the physical state of the body. So um.

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<v Speaker 1>Obviously it's not something that is perfect right now, but

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<v Speaker 1>it's the beginnings of something that could be really important,

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<v Speaker 1>that kind of neural pixie dust of the future. And

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<v Speaker 1>we'll get to that later. Now. Another fascinating example of

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<v Speaker 1>this technology can be found in the work of HeLa Nuremberg,

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<v Speaker 1>who is a neuroscientist working on technology for a prosthetic

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<v Speaker 1>I yeah, because she says that more than ten million

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<v Speaker 1>people in the US are blind or facing blindness because

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<v Speaker 1>of diseases like macular degeneration, and for the vast majority

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<v Speaker 1>of them, it's the prosthetic devices that are available right

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<v Speaker 1>now that are their best hope, but the ones that

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<v Speaker 1>that are common right now are not necessarily the best.

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<v Speaker 1>And she has created a neural prosthetic device that is amazing. Yeah.

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<v Speaker 1>Now think back again to that analogy I'm made about

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<v Speaker 1>the road point A, point B. In point C and

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<v Speaker 1>point B that middle point is washed out by a flood.

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<v Speaker 1>How do you get across it? How do you build

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<v Speaker 1>that bridge? So, when when you're looking at something just

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<v Speaker 1>with normal vision, normal healthy vision, you have the image

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<v Speaker 1>that's going to your eye, it's hitting your retina and

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<v Speaker 1>then the middleman that point B that it is the

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<v Speaker 1>retinal circuitry, and this essentially extracts information from it and

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<v Speaker 1>converts it into a code. And these are electrical pulses

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<v Speaker 1>that are sent to the brain. So to your point,

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<v Speaker 1>what do you do when the photo receptors die? What

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<v Speaker 1>do you do when one link in the chain vanishes? Yeah,

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<v Speaker 1>because that's what happens with macular degeneration. Those photoreceptors on

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<v Speaker 1>the retina die off, and then over time all the

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<v Speaker 1>other cells and the circuits that are connected to them

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<v Speaker 1>die off to renderingly you effectively blind. So the only

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<v Speaker 1>thing that you're left with are those put cells, and

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<v Speaker 1>those are the ones that send the signals to the brain.

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<v Speaker 1>But because of all that degeneration, they're not sending any

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<v Speaker 1>signals anymore. And if you have a regular prosthetic for eyesight,

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<v Speaker 1>um you could allow a person to see bright lights

0:12:14.240 --> 0:12:17.360
<v Speaker 1>or high contrast edges, but these are shadowy with like

0:12:17.520 --> 0:12:20.720
<v Speaker 1>really no real detail. And what you're using in this

0:12:20.880 --> 0:12:24.800
<v Speaker 1>regular prosthetic for eyesight is an encoder that takes in light,

0:12:25.000 --> 0:12:28.240
<v Speaker 1>but the firing pattern is all over the place. So

0:12:28.280 --> 0:12:30.600
<v Speaker 1>what you need then is a device that can mimic

0:12:30.640 --> 0:12:33.560
<v Speaker 1>the actions of that the front end circuitry of sight

0:12:34.000 --> 0:12:37.440
<v Speaker 1>send signals to the retina's output cells and and and

0:12:37.480 --> 0:12:39.800
<v Speaker 1>in this you're you end up mimicking the actions of

0:12:39.840 --> 0:12:42.760
<v Speaker 1>that front end circuitry, so you're taking the image converting

0:12:42.800 --> 0:12:46.160
<v Speaker 1>them into the retina's own code. Yeah. What Nuremberg has

0:12:46.160 --> 0:12:49.600
<v Speaker 1>created is um this prosthetic device that has two parts,

0:12:49.960 --> 0:12:53.360
<v Speaker 1>an encoder and a transducer. Now that encoder mimics the

0:12:53.360 --> 0:12:56.400
<v Speaker 1>actions that you say, that front end circuitry, and then

0:12:56.440 --> 0:12:59.600
<v Speaker 1>the transducer makes the output cells send the code to

0:12:59.640 --> 0:13:02.880
<v Speaker 1>the sin and the result is this retinal prosthetic that

0:13:02.920 --> 0:13:07.320
<v Speaker 1>can produce normal retinal output. And we're talking about is

0:13:07.320 --> 0:13:10.840
<v Speaker 1>is a set of equations that they can implement on

0:13:10.880 --> 0:13:14.120
<v Speaker 1>a chip. And so she's saying, hey, it's just math here.

0:13:14.360 --> 0:13:17.360
<v Speaker 1>And that's the exciting part is that if you take

0:13:17.400 --> 0:13:20.840
<v Speaker 1>these two components of the prosthetic device, then you can

0:13:20.920 --> 0:13:24.960
<v Speaker 1>mimic real eyesight in a person who is blind. Yeah,

0:13:24.960 --> 0:13:28.320
<v Speaker 1>it's pretty pretty, pretty phenomenal. And we're talking about that

0:13:28.400 --> 0:13:30.400
<v Speaker 1>the individual would wear a sort of camera that has

0:13:30.440 --> 0:13:33.120
<v Speaker 1>an encoder of a device that's taking that information from

0:13:33.200 --> 0:13:35.959
<v Speaker 1>the camera and translating it into the retinas code, translating

0:13:36.000 --> 0:13:38.720
<v Speaker 1>it into a version that the brain can make sense of.

0:13:39.640 --> 0:13:45.119
<v Speaker 1>You're talking about a real direct link between mechanical artificial

0:13:45.360 --> 0:13:49.960
<v Speaker 1>sensory and organic reasoning of that sense information. Now, to

0:13:50.040 --> 0:13:52.080
<v Speaker 1>get a sense of this, you should definitely check out

0:13:52.120 --> 0:13:55.680
<v Speaker 1>the talk because she shows two different examples of how

0:13:55.720 --> 0:13:59.240
<v Speaker 1>this works with a regular prosthetic device and with this

0:13:59.320 --> 0:14:03.080
<v Speaker 1>new one. And what she shows is sort of a

0:14:03.160 --> 0:14:08.280
<v Speaker 1>readout of the neural firing activity and regular eyesight um

0:14:08.440 --> 0:14:10.720
<v Speaker 1>the regular prosthetic and the new one. And you will

0:14:10.760 --> 0:14:14.480
<v Speaker 1>see that in the new prosthetic and regular eyes eyesight,

0:14:14.600 --> 0:14:19.840
<v Speaker 1>those patterns are almost identical. It's not perfect, but that

0:14:19.960 --> 0:14:22.080
<v Speaker 1>middle part, the regular one right now that just has

0:14:22.120 --> 0:14:25.720
<v Speaker 1>the encoder that just takes in light, is very imperfect.

0:14:26.160 --> 0:14:28.520
<v Speaker 1>And then she gives the second example of she said,

0:14:28.560 --> 0:14:30.800
<v Speaker 1>you know, we wanted to take a snapshot of what

0:14:30.880 --> 0:14:34.600
<v Speaker 1>people were seeing or what these primates were seeing, because

0:14:34.600 --> 0:14:38.600
<v Speaker 1>I believe they're in human trials right now, clinical trials.

0:14:38.600 --> 0:14:42.600
<v Speaker 1>But what those um images that we're seeing. You see

0:14:42.880 --> 0:14:46.000
<v Speaker 1>the regular eyesight, you see a baby's face. It's perfectly rendered,

0:14:46.000 --> 0:14:48.320
<v Speaker 1>of course, right because you have perfect eyesight. Then you

0:14:48.360 --> 0:14:51.600
<v Speaker 1>have the regular prosthetic and it's very shadowy. You can't

0:14:51.640 --> 0:14:54.680
<v Speaker 1>even make out the pattern, which is amazing because you know,

0:14:54.720 --> 0:14:58.200
<v Speaker 1>you and I have discussed before how humans are pattern

0:14:58.280 --> 0:15:01.520
<v Speaker 1>recognition machines and yet there's no not enough data points

0:15:01.560 --> 0:15:04.240
<v Speaker 1>here to really make a clear picture. And then you

0:15:04.280 --> 0:15:06.480
<v Speaker 1>have this new device that she came up with, and

0:15:06.520 --> 0:15:08.960
<v Speaker 1>it is plain as day that that is the baby space.

0:15:09.520 --> 0:15:14.360
<v Speaker 1>It is not exact, but can you imagine being someone

0:15:14.400 --> 0:15:18.120
<v Speaker 1>who has lost their sight and you all of a

0:15:18.160 --> 0:15:22.000
<v Speaker 1>sudden are hooked up with this neural prosthetic device for

0:15:22.040 --> 0:15:26.160
<v Speaker 1>your eye and you're able to see something is I

0:15:26.160 --> 0:15:29.120
<v Speaker 1>don't know, iconic and recognizable as a tree or a

0:15:29.120 --> 0:15:31.720
<v Speaker 1>baby space. Again, yeah, I mean you would have have

0:15:31.880 --> 0:15:34.320
<v Speaker 1>some level of detail as well as just you know,

0:15:34.360 --> 0:15:39.080
<v Speaker 1>an abstract idea of your environment just for navigational purposes.

0:15:39.120 --> 0:15:42.200
<v Speaker 1>So it's pretty pretty amazing stuff. Yeah, And as you

0:15:42.280 --> 0:15:45.040
<v Speaker 1>had said, this sort of washed out areas, um, you know,

0:15:45.120 --> 0:15:47.840
<v Speaker 1>from points A to C. This is something that Nuremberg

0:15:47.960 --> 0:15:50.200
<v Speaker 1>is is imagining for the rest of the brains, and

0:15:50.320 --> 0:15:53.040
<v Speaker 1>not just eyesight, but for stroke victims. So in the

0:15:53.080 --> 0:15:56.440
<v Speaker 1>cortex of trying to create this sort of communications center

0:15:56.640 --> 0:15:59.680
<v Speaker 1>using the same sort of device. Yeah, figuring any any

0:15:59.760 --> 0:16:02.640
<v Speaker 1>kind of situation where there's a there's a gap, where

0:16:02.640 --> 0:16:04.520
<v Speaker 1>there's a missing link in the chain or a damage

0:16:04.600 --> 0:16:07.360
<v Speaker 1>link in the chain, then we could conceivably go in

0:16:07.400 --> 0:16:11.800
<v Speaker 1>there and build that that bridge, that neural bridge from

0:16:11.840 --> 0:16:15.040
<v Speaker 1>point A to point C. All Right, we're gonna take

0:16:15.040 --> 0:16:16.480
<v Speaker 1>a quick break, and when we get back, we're going

0:16:16.520 --> 0:16:18.520
<v Speaker 1>to talk about it. Just sort of neural dust that

0:16:18.600 --> 0:16:21.520
<v Speaker 1>we may all have sprinkled into our brains in the year.

0:16:31.680 --> 0:16:34.480
<v Speaker 1>All right, we're back. Uh So, if you were not

0:16:34.600 --> 0:16:38.000
<v Speaker 1>future shocked by the earlier information about sort of the

0:16:38.040 --> 0:16:42.000
<v Speaker 1>current state in the in the depending state um of

0:16:42.160 --> 0:16:45.600
<v Speaker 1>these these neural enhancements, then hold onto your bridges, because

0:16:45.640 --> 0:16:49.480
<v Speaker 1>we're about to look at where this could go, where

0:16:49.520 --> 0:16:52.680
<v Speaker 1>this is going, and how it could dramatically change not

0:16:52.720 --> 0:16:54.840
<v Speaker 1>only our lives, but but but what it is to

0:16:54.840 --> 0:16:58.000
<v Speaker 1>be human. Yeah, Okay, so think back to Kathy and

0:16:58.120 --> 0:17:00.560
<v Speaker 1>think about that wire in her brain time I believe

0:17:00.680 --> 0:17:04.840
<v Speaker 1>is referred to as brain gate. UM. Michael Maharbits has

0:17:04.920 --> 0:17:08.800
<v Speaker 1>created a new kind of prosthetic in the form of

0:17:08.840 --> 0:17:12.960
<v Speaker 1>these cubes as small as neurons. Okay, we're talking about

0:17:13.000 --> 0:17:17.960
<v Speaker 1>fifty microns across. Now. The thing is is that they

0:17:18.040 --> 0:17:22.880
<v Speaker 1>don't um they don't work with electromagnetic frequency because they're

0:17:22.880 --> 0:17:25.840
<v Speaker 1>too small, so you can't have something like a wire

0:17:25.960 --> 0:17:29.240
<v Speaker 1>detecting them. But you can use sonogram to detect these.

0:17:30.160 --> 0:17:33.120
<v Speaker 1>And what they're thinking is that you could have these

0:17:33.160 --> 0:17:36.320
<v Speaker 1>sprinkled throughout your brain and you would have all these

0:17:36.400 --> 0:17:41.120
<v Speaker 1>different data points measuring that neuronal activity, and you could

0:17:41.119 --> 0:17:45.840
<v Speaker 1>have a far more robust system that not only exports

0:17:45.880 --> 0:17:48.040
<v Speaker 1>the sort of neural activity, the sort of thoughts that

0:17:48.119 --> 0:17:53.280
<v Speaker 1>you're having, that maybe even imports information. So when you

0:17:53.320 --> 0:17:56.600
<v Speaker 1>start to think about this, this neural dust as it's called,

0:17:57.720 --> 0:18:00.600
<v Speaker 1>and you start to see how you could have these

0:18:00.640 --> 0:18:04.480
<v Speaker 1>prosthetics not just external to you, but implanted in you,

0:18:04.680 --> 0:18:08.840
<v Speaker 1>and you could have this this really very uh sophisticated

0:18:09.080 --> 0:18:12.840
<v Speaker 1>system of information coming in and going out of your body,

0:18:12.840 --> 0:18:15.720
<v Speaker 1>out of your brain. Yeah, I mean, we're talking about

0:18:15.720 --> 0:18:19.200
<v Speaker 1>the ability to to have more of a hands on,

0:18:19.720 --> 0:18:23.639
<v Speaker 1>real time idea of what the brain is doing just

0:18:24.119 --> 0:18:26.080
<v Speaker 1>throughout the course of the day, not just when you're

0:18:26.080 --> 0:18:29.320
<v Speaker 1>hooked up to some machines or or your run through

0:18:29.480 --> 0:18:32.960
<v Speaker 1>an fMRI. I. This would be like a daily constant

0:18:33.080 --> 0:18:36.119
<v Speaker 1>understanding of what your brain is doing. Yeah, and I

0:18:36.119 --> 0:18:38.159
<v Speaker 1>mean you you see this. That the fact that you

0:18:38.160 --> 0:18:41.320
<v Speaker 1>could have more of this neural dust spread throughout your

0:18:41.320 --> 0:18:45.560
<v Speaker 1>brain again, more data points of collection, more ability to

0:18:45.680 --> 0:18:48.560
<v Speaker 1>import that data. But not only that, you could have

0:18:48.680 --> 0:18:51.520
<v Speaker 1>this stuff in there maybe for the rest of your life,

0:18:51.520 --> 0:18:53.520
<v Speaker 1>because as we discussed before, the brain is not like

0:18:53.520 --> 0:18:56.200
<v Speaker 1>foreign objects. But if you have something as tiny as

0:18:56.240 --> 0:18:59.199
<v Speaker 1>a neuron, it's very possible that it could pass in

0:18:59.240 --> 0:19:03.040
<v Speaker 1>the body as something that's uh supposed to be there. Okay,

0:19:03.040 --> 0:19:06.399
<v Speaker 1>so at conceivably then at even an early age, you

0:19:06.440 --> 0:19:10.000
<v Speaker 1>are injected. Your brain is injected with this dust, and

0:19:10.040 --> 0:19:12.720
<v Speaker 1>this dust is spread out through the brain and it's

0:19:12.760 --> 0:19:18.360
<v Speaker 1>all reporting and receiving information from the outside. Well. Right,

0:19:18.440 --> 0:19:22.440
<v Speaker 1>So for someone like Cathy for instance, um, she would

0:19:22.480 --> 0:19:24.840
<v Speaker 1>get sort of an upgrade here because again let's assume

0:19:24.880 --> 0:19:27.720
<v Speaker 1>that there's some sort of implant here or a prosthetic

0:19:27.720 --> 0:19:31.600
<v Speaker 1>device that could easily allow her to to move her

0:19:31.640 --> 0:19:37.640
<v Speaker 1>body around um, and maybe even she could receive directions UM.

0:19:37.680 --> 0:19:42.240
<v Speaker 1>And that's where this thing gets really weird, because you

0:19:42.359 --> 0:19:46.560
<v Speaker 1>could effectively use this as a brain upgrade. And we

0:19:46.640 --> 0:19:48.119
<v Speaker 1>talked about this before, and I think it was in

0:19:48.240 --> 0:19:52.480
<v Speaker 1>monkeys that they had their neural path at ways tinkered

0:19:52.520 --> 0:19:55.159
<v Speaker 1>with when they were making decisions, and the idea was

0:19:55.280 --> 0:19:59.159
<v Speaker 1>you could increase neural activity in one direction so that

0:19:59.200 --> 0:20:02.800
<v Speaker 1>they made spec scific um movements or decisions about what

0:20:02.800 --> 0:20:05.639
<v Speaker 1>they were about to do the right decision, right. So

0:20:05.880 --> 0:20:08.639
<v Speaker 1>what if you have this neural pixie dust and it

0:20:08.680 --> 0:20:12.440
<v Speaker 1>could bolster your memory, It could create stronger neural pathways

0:20:12.560 --> 0:20:15.560
<v Speaker 1>to information. I mean, you wouldn't have to study so much, right.

0:20:16.800 --> 0:20:19.840
<v Speaker 1>It's it's pretty fascinating because we're talking about not only

0:20:20.480 --> 0:20:23.480
<v Speaker 1>not only using this technology to bridge gaps and to

0:20:23.760 --> 0:20:26.800
<v Speaker 1>service a bridge where an area was damaged, but just

0:20:26.880 --> 0:20:30.359
<v Speaker 1>to speed up the connections, to improve the the the

0:20:30.440 --> 0:20:33.560
<v Speaker 1>overall road to where you have you know, just imagine

0:20:33.600 --> 0:20:36.280
<v Speaker 1>again to use the analogy of the mountain mountain roads

0:20:36.320 --> 0:20:38.840
<v Speaker 1>where you have lots of bridges, not because the the

0:20:39.560 --> 0:20:44.040
<v Speaker 1>road is unsafe, but because this makes the transportation, faster, smoother,

0:20:44.600 --> 0:20:48.040
<v Speaker 1>uh and uh and and altogether more effective. Right, It's

0:20:48.080 --> 0:20:49.960
<v Speaker 1>a kind of true all because not only would it

0:20:50.000 --> 0:20:53.720
<v Speaker 1>be helpful for say, struck victims or someone with you know,

0:20:53.720 --> 0:20:58.320
<v Speaker 1>immacular degeneration in this case, UM, but because conceivably it

0:20:58.320 --> 0:20:59.920
<v Speaker 1>could work in the same way that nurembergers to be

0:21:00.000 --> 0:21:03.640
<v Speaker 1>sing her system. But yeah, it could just give you

0:21:03.760 --> 0:21:07.040
<v Speaker 1>that sort of lift that everybody has been fantasizing about

0:21:07.119 --> 0:21:10.359
<v Speaker 1>and thinking about in terms of upgrading your brain in

0:21:10.400 --> 0:21:13.360
<v Speaker 1>a way that it runs faster and smoother. As you say, yeah,

0:21:13.359 --> 0:21:16.040
<v Speaker 1>and you could have like a daily or weekly email

0:21:16.080 --> 0:21:18.040
<v Speaker 1>that you received telling you what you're almost like you

0:21:18.080 --> 0:21:20.320
<v Speaker 1>would web traffic for your website, except you would have

0:21:20.320 --> 0:21:22.280
<v Speaker 1>a readout saying, hey, this is how your brain is doing.

0:21:22.359 --> 0:21:25.400
<v Speaker 1>This is your your neural activity for a given day,

0:21:25.400 --> 0:21:28.120
<v Speaker 1>a given week. Yeah. And here's the thing again, this

0:21:28.200 --> 0:21:30.960
<v Speaker 1>is that we're not just talking about um output here

0:21:31.880 --> 0:21:35.760
<v Speaker 1>working with an implanted prosthetic devices, but we're also talking

0:21:35.760 --> 0:21:40.840
<v Speaker 1>about input. And while this doesn't work on an electromagnetic frequency,

0:21:40.960 --> 0:21:43.600
<v Speaker 1>it does work on that that sort of ultrasound. In fact,

0:21:43.640 --> 0:21:48.120
<v Speaker 1>these neural pixie dusts are called tuning forks for ultrasound. Uh,

0:21:48.160 --> 0:21:51.800
<v Speaker 1>the idea is that maybe you could still kind of

0:21:51.840 --> 0:21:54.920
<v Speaker 1>hack into this system, and that would be a problem, right,

0:21:54.960 --> 0:21:58.920
<v Speaker 1>you could hack into someone's neural circuitry and have them

0:21:58.960 --> 0:22:01.119
<v Speaker 1>doing things. So, so you don't mean just in the

0:22:01.160 --> 0:22:04.640
<v Speaker 1>sense of life hacking where I'm improving my brain by

0:22:04.640 --> 0:22:06.920
<v Speaker 1>having the neural pixie dust. You're talking about an outsider

0:22:07.520 --> 0:22:11.119
<v Speaker 1>hacking into the device that's it's it's attuned with my

0:22:11.240 --> 0:22:15.200
<v Speaker 1>neural pixie dust and essentially hacking my brain, hacking my

0:22:15.200 --> 0:22:19.000
<v Speaker 1>my memory, even hacking my my perception of reality or

0:22:19.080 --> 0:22:22.000
<v Speaker 1>my my actual consciousness. Yeah, now, of course this is

0:22:22.080 --> 0:22:24.000
<v Speaker 1>this is all predicated on the idea that we have

0:22:24.280 --> 0:22:27.199
<v Speaker 1>a much better idea of how the brain works in

0:22:27.240 --> 0:22:30.760
<v Speaker 1>twenty or thirty years, and we have a kind of technology,

0:22:30.800 --> 0:22:35.040
<v Speaker 1>technology that's so pervasive that people would have access to

0:22:35.119 --> 0:22:37.919
<v Speaker 1>these systems. But what if all of that came together

0:22:38.600 --> 0:22:41.320
<v Speaker 1>and we all had neural pixie dust spread throughout our

0:22:41.359 --> 0:22:44.080
<v Speaker 1>brains to help us, right, to help us remember things,

0:22:44.080 --> 0:22:46.840
<v Speaker 1>to help us do things. And I could say, go

0:22:47.040 --> 0:22:49.520
<v Speaker 1>and hack the system for you and say I would

0:22:49.600 --> 0:22:53.160
<v Speaker 1>really love for Robert to do ten cart wheels today.

0:22:53.400 --> 0:22:57.240
<v Speaker 1>And who knows that you should get that sophisticated. Um.

0:22:57.359 --> 0:22:59.920
<v Speaker 1>But that's a possibility. I mean, that's that's the wonderful

0:23:00.200 --> 0:23:02.719
<v Speaker 1>and the horrific thing about this kind of technology, as

0:23:02.760 --> 0:23:05.760
<v Speaker 1>you can really go off the deep end, um and

0:23:05.840 --> 0:23:07.560
<v Speaker 1>kind of go to the dark side and imagine all

0:23:07.600 --> 0:23:12.280
<v Speaker 1>of these things. Of course, we know that science has

0:23:12.320 --> 0:23:15.160
<v Speaker 1>a lot of integrity and that technology so far has

0:23:15.200 --> 0:23:19.960
<v Speaker 1>been uh not used really that much for ill will.

0:23:20.480 --> 0:23:23.560
<v Speaker 1>But oh no, I can't think of a single example

0:23:23.640 --> 0:23:28.160
<v Speaker 1>of technology being used to hurt anyone. Um. Well there, yes,

0:23:28.240 --> 0:23:29.800
<v Speaker 1>you have a point there, But I guess what I'm

0:23:29.800 --> 0:23:31.880
<v Speaker 1>saying is that I so far have not been able

0:23:31.920 --> 0:23:35.159
<v Speaker 1>to pick up on the black market yet an exco

0:23:35.320 --> 0:23:38.960
<v Speaker 1>exo skeleton that can sort of let me U rampage

0:23:38.960 --> 0:23:41.919
<v Speaker 1>through the streets of Atlanta. It's true. So you know,

0:23:42.000 --> 0:23:45.560
<v Speaker 1>maybe this will be a technological advancement that society will

0:23:45.600 --> 0:23:48.520
<v Speaker 1>be able to stay abreast off instead of letting it

0:23:48.560 --> 0:23:51.720
<v Speaker 1>get ahead of of of society as we often do

0:23:52.200 --> 0:23:55.320
<v Speaker 1>with technological advancements. That would be the hope. But here's

0:23:55.320 --> 0:23:58.160
<v Speaker 1>something I want to say to any kids listening. If

0:23:58.200 --> 0:24:01.920
<v Speaker 1>you guys are interested in neuros science, um, and you're

0:24:01.960 --> 0:24:05.520
<v Speaker 1>also interested in engineering or even chemistry or mathematic mathematics,

0:24:05.520 --> 0:24:09.960
<v Speaker 1>you might want to consider joining up with neuroscientists on

0:24:10.040 --> 0:24:12.920
<v Speaker 1>this because, as they were saying on the panel, they

0:24:13.000 --> 0:24:16.240
<v Speaker 1>need people who are coming from these different disciplines, even

0:24:16.280 --> 0:24:20.440
<v Speaker 1>like physics, to help figure out how some of these

0:24:20.440 --> 0:24:23.320
<v Speaker 1>technologies work with the brain and how best to do this.

0:24:23.480 --> 0:24:27.720
<v Speaker 1>It's not just neuroscientists figuring out. They need other disciplines

0:24:27.800 --> 0:24:31.439
<v Speaker 1>to really make this work. Yeah, otherwise, how are we

0:24:31.480 --> 0:24:34.000
<v Speaker 1>going to get to the point where you can actually

0:24:34.600 --> 0:24:38.159
<v Speaker 1>download a copy of your brain and have that stored

0:24:38.200 --> 0:24:40.760
<v Speaker 1>away potentially for safe keeping, and we could reach the

0:24:40.800 --> 0:24:44.760
<v Speaker 1>point where, um, I instantly think of the book Altered

0:24:44.800 --> 0:24:48.840
<v Speaker 1>Carbon by writer Richard K. Morrigan, in which you have

0:24:48.880 --> 0:24:52.439
<v Speaker 1>individuals who have are certainly individuals who can afford it,

0:24:53.040 --> 0:24:56.920
<v Speaker 1>the super rich, for instance, who have copies of their

0:24:56.960 --> 0:25:00.320
<v Speaker 1>brain backed up so that if something happens to their body,

0:25:00.440 --> 0:25:02.840
<v Speaker 1>they can just have their mind re sleeved into a

0:25:02.840 --> 0:25:06.760
<v Speaker 1>new body. Or you want to explore another planet, you

0:25:06.840 --> 0:25:10.119
<v Speaker 1>just have you a copy of your mind sent, uh,

0:25:10.440 --> 0:25:12.320
<v Speaker 1>you know, at the speed of light to to this

0:25:12.400 --> 0:25:14.440
<v Speaker 1>location where it can be put into a new body

0:25:14.600 --> 0:25:17.359
<v Speaker 1>or a robotic body to do whatever needs to be done. Yeah,

0:25:17.400 --> 0:25:20.560
<v Speaker 1>but before all this happens again, they they need to

0:25:20.600 --> 0:25:22.920
<v Speaker 1>put the rubber to the road here and figure out

0:25:22.960 --> 0:25:25.719
<v Speaker 1>how the brain works. Also, technology they need to upgrade

0:25:25.720 --> 0:25:28.160
<v Speaker 1>here because you know, using fMRI I too to look

0:25:28.160 --> 0:25:31.560
<v Speaker 1>at these neuronal spikes, it's not a perfect science because

0:25:31.720 --> 0:25:34.480
<v Speaker 1>the neuronal neuronal activity is happening at something like one

0:25:34.680 --> 0:25:37.600
<v Speaker 1>thousands of a second, but the imaging itself is only

0:25:37.640 --> 0:25:40.199
<v Speaker 1>happening it one second, so it's not a true picture

0:25:40.240 --> 0:25:43.240
<v Speaker 1>of the brain and what's happening. Right, But through this technology,

0:25:43.240 --> 0:25:46.239
<v Speaker 1>well we were conceivably having much better idea of what

0:25:46.280 --> 0:25:49.200
<v Speaker 1>the brain is doing. Yeah, and and Maha Ribbits said

0:25:49.440 --> 0:25:51.640
<v Speaker 1>that where we are with the brain is a lot

0:25:51.760 --> 0:25:57.120
<v Speaker 1>like where we were with cosmology right before the Hubble telescope,

0:25:57.280 --> 0:26:00.600
<v Speaker 1>right and and just like the Hubble telescope allowed us

0:26:00.680 --> 0:26:05.440
<v Speaker 1>to really peer into uh into space and get an

0:26:05.520 --> 0:26:08.120
<v Speaker 1>idea of the breadth and depth of it. He suing,

0:26:08.240 --> 0:26:11.600
<v Speaker 1>there are technologies coming online now that will allow us

0:26:11.600 --> 0:26:13.280
<v Speaker 1>to do the same thing with a brain that middle

0:26:13.320 --> 0:26:16.919
<v Speaker 1>space that we don't know much about now. You know,

0:26:16.960 --> 0:26:19.359
<v Speaker 1>you're talking about hacking earlier, the idea of someone hacking

0:26:19.359 --> 0:26:23.520
<v Speaker 1>into your personal thoughts in India, the inner workings your brain. Um,

0:26:24.440 --> 0:26:26.920
<v Speaker 1>I can't help it, wonder So, so right now we're

0:26:27.400 --> 0:26:30.480
<v Speaker 1>as we as a civilization or we as a culture anyway,

0:26:30.480 --> 0:26:34.960
<v Speaker 1>are obsessed with the lives of celebrities and or not

0:26:34.960 --> 0:26:39.120
<v Speaker 1>even necessarily celebrities, but sort of the the reality stars

0:26:39.480 --> 0:26:41.760
<v Speaker 1>just some sort of ordinary persons thrust in the limelighte.

0:26:41.760 --> 0:26:44.080
<v Speaker 1>We get to watch everything they're doing. But imagine a

0:26:44.119 --> 0:26:46.639
<v Speaker 1>future where it would maybe not even be there just

0:26:46.720 --> 0:26:49.960
<v Speaker 1>their lives, but their actual thoughts we could tap into.

0:26:50.760 --> 0:26:52.920
<v Speaker 1>Or someone's a great thinker, perhaps their thoughts would be

0:26:52.960 --> 0:26:56.240
<v Speaker 1>considered art thought art And for that matter, then is

0:26:56.280 --> 0:26:58.800
<v Speaker 1>there such thing as hate thought? Could you be prosecutecuted

0:26:58.840 --> 0:27:01.720
<v Speaker 1>for hate thought? Well, that's the idea, right, because all

0:27:01.760 --> 0:27:04.480
<v Speaker 1>of a sudden you have would have access to neuronal

0:27:04.600 --> 0:27:07.280
<v Speaker 1>activity that would point to your subconscious. And we know

0:27:07.320 --> 0:27:09.960
<v Speaker 1>the subconscious is all it's down under there making all

0:27:09.960 --> 0:27:13.359
<v Speaker 1>of these diabolical decisions for us, things that we aren't

0:27:13.359 --> 0:27:15.959
<v Speaker 1>really aware of until it reaches the surface of consciousness.

0:27:15.960 --> 0:27:18.879
<v Speaker 1>So if you were able to peer into your subconscious

0:27:19.720 --> 0:27:24.000
<v Speaker 1>via this technology, would you become super aware, a really

0:27:24.040 --> 0:27:27.119
<v Speaker 1>self aware of person, or would you become super paranoid

0:27:27.200 --> 0:27:31.800
<v Speaker 1>that you know, someone was able to predict your movements

0:27:31.880 --> 0:27:34.639
<v Speaker 1>before you could even complete that thought. Yeah, what if

0:27:34.680 --> 0:27:39.080
<v Speaker 1>Google ends up selling your subconscious to advertisers in the future.

0:27:39.200 --> 0:27:41.160
<v Speaker 1>What if hackers what have you turned in the news

0:27:41.200 --> 0:27:44.800
<v Speaker 1>one day? Sorry, hackers got into Amazon and they stole

0:27:44.840 --> 0:27:48.080
<v Speaker 1>everybody's subconscious and their credit cards. But don't worry, we'll

0:27:48.119 --> 0:27:51.679
<v Speaker 1>monitor your credit card for a full year. Dark stuff,

0:27:51.720 --> 0:27:55.520
<v Speaker 1>my friend. But fascinating and wonderful in the current abilities

0:27:55.560 --> 0:27:59.920
<v Speaker 1>to actually help people who need that bridge from a tocy. Yeah,

0:28:00.080 --> 0:28:02.359
<v Speaker 1>and I mean that's the bottom line here, looking at,

0:28:02.440 --> 0:28:06.480
<v Speaker 1>especially in the near term, ways that this technology can

0:28:06.560 --> 0:28:09.920
<v Speaker 1>drastically improve the lives of people who need to have

0:28:10.480 --> 0:28:13.640
<v Speaker 1>uh that that gap bridge that need links in their

0:28:13.720 --> 0:28:18.959
<v Speaker 1>neural chain reforged. Alright, So there you have a neural

0:28:19.119 --> 0:28:22.040
<v Speaker 1>pixie dust. I'm sure everyone has some thoughts on this

0:28:22.040 --> 0:28:26.560
<v Speaker 1>particular topic, be it the the near term health applications

0:28:26.600 --> 0:28:29.919
<v Speaker 1>that we're talking about or the long term science fiction

0:28:30.000 --> 0:28:32.640
<v Speaker 1>e stuff. Uh. Either way, we'd love to hear from

0:28:32.680 --> 0:28:35.080
<v Speaker 1>you with your inside on this um. You can reach

0:28:35.160 --> 0:28:36.879
<v Speaker 1>us out to us in a number of different ways.

0:28:37.119 --> 0:28:38.800
<v Speaker 1>As always, go to stuff to bow your mind dot com.

0:28:38.800 --> 0:28:40.760
<v Speaker 1>That's the mother ship. That's where you will find all

0:28:40.800 --> 0:28:43.040
<v Speaker 1>of our blog post, all of our podcasts, all our videos,

0:28:43.080 --> 0:28:45.200
<v Speaker 1>links out to our social media accounts, and hey be

0:28:45.240 --> 0:28:48.160
<v Speaker 1>sure to go to YouTube where we are mind Stuff Show.

0:28:48.360 --> 0:28:50.960
<v Speaker 1>Check out all of our video series, including this fabulous

0:28:50.960 --> 0:28:55.080
<v Speaker 1>new Elevator series. It is wonderful quirky stuff. Um as I,

0:28:55.120 --> 0:28:58.280
<v Speaker 1>as I think I was explained to to somebody recently

0:28:58.600 --> 0:29:01.120
<v Speaker 1>our video projects, I feel like what we we're trying

0:29:01.160 --> 0:29:04.240
<v Speaker 1>to do different scoops of ice cream for different viewers.

0:29:04.320 --> 0:29:08.840
<v Speaker 1>So whereas the Monster Science series might be a bit

0:29:09.160 --> 0:29:13.560
<v Speaker 1>to um cotton candy and gummy worms for some listeners. Uh,

0:29:13.640 --> 0:29:17.000
<v Speaker 1>some viewers rather uh the the the the information Elevator,

0:29:17.040 --> 0:29:20.080
<v Speaker 1>I feel like it's more what's a refined but creative

0:29:20.400 --> 0:29:27.160
<v Speaker 1>ice cream flavor? M m, maybe a lemon timebet yeah yeah,

0:29:27.400 --> 0:29:28.960
<v Speaker 1>Or I had this one the other day, an actual

0:29:28.960 --> 0:29:33.280
<v Speaker 1>ice cream. It was dates and the salmon vinegar. Uh yeah.

0:29:33.280 --> 0:29:35.640
<v Speaker 1>But now I feel like you're like, we're talking about

0:29:35.640 --> 0:29:39.880
<v Speaker 1>park Avenue here. Yeah, yeah, park Avenue. We can some

0:29:39.880 --> 0:29:42.160
<v Speaker 1>of our stuff is Park Avenue. Monster Science is not

0:29:42.200 --> 0:29:43.800
<v Speaker 1>Park Avenu. This is sort of like I feel like

0:29:43.840 --> 0:29:46.960
<v Speaker 1>Elevator information elevator might be. This is sort of like

0:29:47.560 --> 0:29:50.160
<v Speaker 1>someone who might hang out in your elevator on Park

0:29:50.160 --> 0:29:53.160
<v Speaker 1>Avenue and they're not really paid to be there, but

0:29:53.240 --> 0:29:57.800
<v Speaker 1>they hang out there. That's that's perfect. And they stopped. Yeah, yeah,

0:29:57.800 --> 0:29:59.480
<v Speaker 1>thanks for the call. Yeah, and guys, if you haven't

0:29:59.560 --> 0:30:01.320
<v Speaker 1>checked out moll the scientists got to do it because

0:30:01.320 --> 0:30:04.239
<v Speaker 1>it is a wonderful like gummy worm packed full of

0:30:04.880 --> 0:30:09.560
<v Speaker 1>ice cream, super normal stimuli shot of science. That's right,

0:30:09.600 --> 0:30:12.000
<v Speaker 1>that's what that's what we're trying to do to all right. Uh,

0:30:12.120 --> 0:30:13.880
<v Speaker 1>you guys have thoughts, We want to hear them and

0:30:13.960 --> 0:30:16.280
<v Speaker 1>you can send them to blow the mind at how

0:30:16.360 --> 0:30:23.640
<v Speaker 1>stuff works dot com for more on this and thousands

0:30:23.640 --> 0:30:32.320
<v Speaker 1>of other topics. Is it how stuff works dot com