WEBVTT - Ep90 "What's the future of connecting our tech to our brains?"

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<v Speaker 1>Why is it so hard to reverse engineer the brain?

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<v Speaker 1>Can't we just measure the signals and all of the

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<v Speaker 1>brain cells and then figure out the neural code. And

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<v Speaker 1>if not, why not? And what does this have to

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<v Speaker 1>do with solving vision loss and eavesdropping on the activity

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<v Speaker 1>of cells using other cells and communication between brains using

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<v Speaker 1>something other than conversation or observing and understanding and maybe

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<v Speaker 1>changing our own experience of the world. Welcome to Intercosmos

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<v Speaker 1>with me David Eagleman. I'm a neuroscientist and author at

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<v Speaker 1>Stanford and in these episodes, we sail deeply into our

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<v Speaker 1>three pounds universe to understand the mysterious creatures inside the

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<v Speaker 1>eighty six billion neurons that are chattering along with tiny

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<v Speaker 1>electrical and chemical signals producing our experience. Now, today's question

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<v Speaker 1>is how do you actually get inside the brain to

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<v Speaker 1>study it? After all, we know that the brain is

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<v Speaker 1>the root of all of our thoughts and hopes and

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<v Speaker 1>dreams and aspirations and our consciousness. And the reason we

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<v Speaker 1>know this is because even very small bits of damage

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<v Speaker 1>to the brain change who you are and how you

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<v Speaker 1>think and whether you're conscious. Note that other parts of

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<v Speaker 1>your body, like your heart, can get completely replaced by

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<v Speaker 1>a machine and you are no different. Or you can

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<v Speaker 1>lose your arms and your legs and you can still

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<v Speaker 1>be conscious, or you can get a kidney replacement and

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<v Speaker 1>you're still thinking about your life and your family and

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<v Speaker 1>what you need to do tomorrow. But even a tiny

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<v Speaker 1>bit of damage to the brain caused by let's say

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<v Speaker 1>a stroke or a tumor or a traumatic brain injury,

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<v Speaker 1>even a small bit of damage can change you entirely.

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<v Speaker 1>Even if you don't lose your consciousness, you might lose

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<v Speaker 1>your ability to think clearly, or to speak, or to move,

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<v Speaker 1>or to recognize animals or understand music, or understand the

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<v Speaker 1>concept of a mirror, or a thousand other things that

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<v Speaker 1>have taught us over the centuries about the complex landscape

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<v Speaker 1>of this three pound inner cosmos. So we know the

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<v Speaker 1>brain is necessary for our cognition and experience, but we

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<v Speaker 1>didn't get to that understanding through detailed studies of the

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<v Speaker 1>intricate circuitry, but instead mostly through observations of crude damage.

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<v Speaker 1>So there's still an enormous amount that we don't understand

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<v Speaker 1>about how the whole system works. We only have a

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<v Speaker 1>sense of how it breaks. It would be like if

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<v Speaker 1>you were a space salien and you looked at cell

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<v Speaker 1>phones and discovered that if you zap the phone with

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<v Speaker 1>your laser, then it doesn't make calls anymore. Okay, that's important,

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<v Speaker 1>but it doesn't tell you how telecommunication works in terms

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<v Speaker 1>of base stations and frequency bands and compression and sim

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<v Speaker 1>cards and everything else. For that, you would need to

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<v Speaker 1>take off the cover of the cell phone to figure

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<v Speaker 1>out what the billions of transistors are actually doing. And

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<v Speaker 1>that's really our modern challenge in neuroscience to study this

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<v Speaker 1>incredibly detailed system more directly. So why is progress still

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<v Speaker 1>so slow on that front? Well, it turns out it's

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<v Speaker 1>very hard to study the brain's trillions of neurons directly,

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<v Speaker 1>this pink, magical computational material that mother nature has refined

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<v Speaker 1>through hundreds of millions of years evolution. Why because this

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<v Speaker 1>is the computational core, and so mother nature has protected

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<v Speaker 1>it in armored bunker plating. So that's the first challenge.

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<v Speaker 1>The brain is tightly protected inside the prison of our skull.

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<v Speaker 1>But that's only part of the challenge, and that can

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<v Speaker 1>be addressed by careful neurosurgery. The bigger difficulty is that

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<v Speaker 1>even when we can get in there by drilling a

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<v Speaker 1>little hole in the skull. What we find is an

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<v Speaker 1>incredibly densely packed device made of very sophisticated units that

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<v Speaker 1>are microscopically small, and there are almost one hundred billion

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<v Speaker 1>of them, which is about twelve times more than there

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<v Speaker 1>are people on the planet. And each one of these

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<v Speaker 1>neurons is sending very tiny electrical signals tens or hundreds

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<v Speaker 1>of times per second, and these signals zoomed down axons

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<v Speaker 1>and cause chemicals neurotransmitters to be released. And it's not

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<v Speaker 1>generally clear how to read this insanely dense circuitry to

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<v Speaker 1>understand how these trillions of incredibly small signals racing around

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<v Speaker 1>in there lead to a particular outcome at the scale

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<v Speaker 1>of a human like you move your arm, or you

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<v Speaker 1>have a craving for pistachios, or suddenly you're reminded of

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<v Speaker 1>the poem osomandias or whatever. What is the relationship between

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<v Speaker 1>this small scale and the large scale? So how do

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<v Speaker 1>neuroscientists try to decode this incredible complexity. The answer is

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<v Speaker 1>by marrying the technology that we have like computers, directly

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<v Speaker 1>to the cells of the brain. And this is what

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<v Speaker 1>we generally call a brain computer interface or BCEI. We

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<v Speaker 1>use that term to refer to essentially anything that allows

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<v Speaker 1>direct communication between the brain and to an external device.

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<v Speaker 1>So people use these to control wheelchairs or robotic arms,

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<v Speaker 1>or type directly onto a screen or speak through a

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<v Speaker 1>synthetic voice. The idea is to use BCIs to restore

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<v Speaker 1>functions in people who have lost them, like paralysis or blindness,

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<v Speaker 1>and someday perhaps to enhance the capabilities of healthy people. Now,

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<v Speaker 1>how does a BCI actually work. People sometimes think about

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<v Speaker 1>BCIs as measuring electrical activity on the scalp with an

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<v Speaker 1>EEG electroncephalogram, and that counts, but you don't get very

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<v Speaker 1>much detail from the outside of the skull. So the

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<v Speaker 1>more sophisticated forms of BCIs involves measuring brain activity directly

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<v Speaker 1>from the cells. And the main way to do this

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<v Speaker 1>is with small metal electrodes that you insert into the

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<v Speaker 1>brain tissue. And with these electrodes you can send little

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<v Speaker 1>electrical zapps to stimulate the neurons, and you can can

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<v Speaker 1>also listen to hear when the neurons themselves are giving

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<v Speaker 1>off small electrical signals. Now, this has been a technology

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<v Speaker 1>that researchers and neurosurgeons have used for many decades, but

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<v Speaker 1>it's still a challenge because you have to drill a

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<v Speaker 1>hole in the skull and these little, tiny metal electrodes.

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<v Speaker 1>Although they're tiny, they're actually pretty big from the point

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<v Speaker 1>of view of neurons. From the point of view of

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<v Speaker 1>the neurons, it's like inserting a tree trunk. It damages

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<v Speaker 1>the tissue. Now you've probably heard of companies like Neurlink.

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<v Speaker 1>They're still inserting electrodes just like neurosurgeons have done for decades,

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<v Speaker 1>but they're working to make them smaller and finer and

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<v Speaker 1>robotically inserted, and also wireless in their communications so the

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<v Speaker 1>information can go back and forth without having a cable there.

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<v Speaker 1>So it's a better version of the same idea of

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<v Speaker 1>sticking electronics into the brain. But are there new ideas

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<v Speaker 1>about how to read and write to brain cells, about

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<v Speaker 1>how to interface with the brain. Today, we're going to

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<v Speaker 1>talk about what is at the cutting edge, and so

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<v Speaker 1>for that I called a colleague of mine who is

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<v Speaker 1>shaping the future of BCI technology, Max Hodak. Max is

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<v Speaker 1>an unusually brave thinker. He started studying brain machine interfaces

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<v Speaker 1>as an undergraduate, and while most people would be thrilled

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<v Speaker 1>to simply be a part of that. He was already

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<v Speaker 1>thinking about the ways that parts of the science were

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<v Speaker 1>inefficient and could be improved. Some years later, he went

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<v Speaker 1>on to be a part of the co founding team

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<v Speaker 1>at Neuralink and he became the president, and then four

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<v Speaker 1>years ago he left to found his own company, Science Corporation.

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<v Speaker 1>When I visited him at Science Corporation recently, many of

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<v Speaker 1>the things I saw there would have seemed like science

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<v Speaker 1>fiction fantasy just a few years ago. So here's my

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<v Speaker 1>interview with Max Hodak. You started a company called Science Corp,

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<v Speaker 1>which will refer to as Science and tell us about

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<v Speaker 1>science because it's so exciting what you're doing there.

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<v Speaker 2>Our main focus at Sciences is restoring vision to people

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<v Speaker 2>that have gone blind because they've lost the rods and

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<v Speaker 2>cones in the retina. And I this was not something

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<v Speaker 2>I'd not worked on the retina before, but I had

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<v Speaker 2>this thesis that that the technology was there that this

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<v Speaker 2>would be possible. There's I think two different ways to

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<v Speaker 2>do this that people have been thinking about in the retina.

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<v Speaker 2>There's a technical optogenetics, where you use a gene therapy

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<v Speaker 2>to deliver a little bit of DNA to the cells

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<v Speaker 2>of the optic nerve to make them light sensitive. That

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<v Speaker 2>then you could activate with a laser, or you could

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<v Speaker 2>put an electrical stimulator under the retina and drive the

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<v Speaker 2>remaining the cells that are still there electrically.

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<v Speaker 1>And the mean for just one saying, the retina is

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<v Speaker 1>the lawn of cells at the back of the eyeballer

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<v Speaker 1>catching the photons that are coming in through the front.

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<v Speaker 1>And so if you've got a problem where let's say

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<v Speaker 1>those cells have died for whatever reason, lots of reasons,

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<v Speaker 1>then what you're talking about is how do you how

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<v Speaker 1>do you get those cells to catch the photons and

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<v Speaker 1>send their signals back along the optic nerve.

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<v Speaker 2>Yeah, so I think you know to take a step back.

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<v Speaker 2>If you're thinking about getting vision into the brain, there's

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<v Speaker 2>a couple of different places you could think to do it.

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<v Speaker 2>The first is the retina. So the back of the

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<v Speaker 2>eye is the retina, which is this really nice two

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<v Speaker 2>D sheet of neurons and a big cable going into

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<v Speaker 2>the brain. So in some ways this is like a

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<v Speaker 2>really ideal interface to the brain. Evolution has done this

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<v Speaker 2>to give us vision. The first stop of the optic

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<v Speaker 2>nerve out of the eye is a structure in the

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<v Speaker 2>thalamus called the lateral janiculate nucleus, which is a very

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<v Speaker 2>deep structure in the brain. It's very old evolutionarily, and

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<v Speaker 2>there's about one point five million cells in the optic nerve.

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<v Speaker 2>There's about about the same number of cells in the thalamus.

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<v Speaker 2>And then from there you go out to a much

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<v Speaker 2>larger number of neurons in cortex called primary visual cortex.

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<v Speaker 2>And so if you want to supply vision to the brain,

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<v Speaker 2>in some sense synthetically your choices are really in the retina,

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<v Speaker 2>in the in the LGN, or in V one, and

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<v Speaker 2>everywhere past the optic nerve gets much much harder. Nobody

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<v Speaker 2>has ever really shown the restoration of form vision by

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<v Speaker 2>directly stimulating either the LGN or V one. I mean,

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<v Speaker 2>people haven't even really shown the restoration of form vision

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<v Speaker 2>simulating the optic nerve. The device that we're bringing to

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<v Speaker 2>market now that just recently finished to face three clinical

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<v Speaker 2>trial sits under the retina and stimulates a layer of

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<v Speaker 2>cells called the retinal bipolar cells, which are the first

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<v Speaker 2>cells past the rods and cones. And so this is

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<v Speaker 2>really in many ways the first opportunity to get a

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<v Speaker 2>visual signal back into the signaling pathways into the brain.

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<v Speaker 1>So let's back up. So how does your device work.

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<v Speaker 2>So the device is called Prima. It's a pretty cool idea.

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<v Speaker 2>So it's a tiny little solar panel chip about two

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<v Speaker 2>millimeters by two millimeters, so it's really very small, and

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<v Speaker 2>there's if you look. If you look at it, you'll

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<v Speaker 2>see all these little hex grids on it, these little

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<v Speaker 2>hex tiles. Each one of those TXT tiles is a

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<v Speaker 2>photodiode and an electrode. So what we do is you

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<v Speaker 2>implant this under the retina in the back of the

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<v Speaker 2>eye where the rods and concept degenerated, and the patient

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<v Speaker 2>wears glasses that have a laser projector on them, and

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<v Speaker 2>the laser projector projects the scene with laser energy onto

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<v Speaker 2>the implant in the back of the eye, and wherever

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<v Speaker 2>the laser energy is absorbed, it stimulates, and wherever there's

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<v Speaker 2>darkness in the scene that it doesn't. And so this

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<v Speaker 2>is a cool idea because there's no implanted battery, there's

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<v Speaker 2>no wires, there's no PCBs, there's no electronics other than

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<v Speaker 2>this tiny little chip. Because you send it both energy

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<v Speaker 2>and information simultaneously in the laser pulse and so this

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<v Speaker 2>is like, it's tough to imagine how you would do

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<v Speaker 2>this more simply than this. And when you look at

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<v Speaker 2>past devices, so like a little over a decade ago,

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<v Speaker 2>there was a company called Second Site that had a

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<v Speaker 2>retinal stimulator that is probably what people would be most

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<v Speaker 2>famous when people think about retinal prustcs. So it worked

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<v Speaker 2>very differently than than the science prima implant. First of all,

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<v Speaker 2>it targeted a different layer of cells. It targeted the

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<v Speaker 2>optic nerve rather than the bip our cells, which are

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<v Speaker 2>just much harder to stimulate naturalistically in this way. And

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<v Speaker 2>the second is because it wasn't it was a conventional

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<v Speaker 2>electrical implant. You had this big titanium box attached to

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<v Speaker 2>the side of the eye. You had cables going in

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<v Speaker 2>through through the eyeball to power it. This was a

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<v Speaker 2>four and a half hour surgery. Being able to just

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<v Speaker 2>put this little two by two millimeter chip of silicon

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<v Speaker 2>fully wirelessly under the eye with a little inserted tool

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<v Speaker 2>is a totally different game and it's and the clinical

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<v Speaker 2>trial results I think really speak for themselves. The first

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<v Speaker 2>time ever in the history of the world, as far

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<v Speaker 2>as we know, that blind patients have been able to

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<v Speaker 2>read again.

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<v Speaker 1>Oh that's so amazing. So all of the electronics and

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<v Speaker 1>all that stuff is in the glasses themselves, which are

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<v Speaker 1>capturing the scene like a camera and zapping it back

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<v Speaker 1>with a laser to the chip.

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<v Speaker 2>Yeah yeah, powering it, Yeah, basically like a solar cell.

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<v Speaker 1>Congratulations on all your progress with that. It's an incredible device.

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<v Speaker 3>Yeah.

0:13:56.800 --> 0:13:59.600
<v Speaker 2>And also I should say we didn't develop this from

0:13:59.640 --> 0:14:03.120
<v Speaker 2>a scratch ourselves. We acquired this from another company called Pixium,

0:14:03.320 --> 0:14:08.800
<v Speaker 2>which was based in Paris and had done has started

0:14:08.840 --> 0:14:11.560
<v Speaker 2>the clinical trial. Originally the technology came from a I

0:14:11.640 --> 0:14:14.800
<v Speaker 2>love at Stanford scientist Daniel Planker in the Electrical Engineering

0:14:14.800 --> 0:14:17.400
<v Speaker 2>department who came up with the idea, did the early

0:14:17.400 --> 0:14:20.280
<v Speaker 2>work at Stanford that was licensed by Pixium. They started

0:14:20.280 --> 0:14:23.120
<v Speaker 2>the clinical trial which we acquired and have finished and

0:14:23.200 --> 0:14:25.160
<v Speaker 2>finished the clinical trial and to bring in to market.

0:14:25.080 --> 0:14:27.960
<v Speaker 1>Right, I mean, I'm so I'm so jazzed that you

0:14:28.000 --> 0:14:30.480
<v Speaker 1>guys are doing that or bringing it to market and

0:14:30.520 --> 0:14:33.040
<v Speaker 1>making making this across the finish line. So that's what

0:14:33.080 --> 0:14:36.440
<v Speaker 1>you're doing in the retina for people who have lost vision.

0:14:37.680 --> 0:14:42.720
<v Speaker 1>Tell me what you're doing with uh reading from neurons?

0:14:42.880 --> 0:14:46.520
<v Speaker 1>So before just before we get there. So the challenge

0:14:46.840 --> 0:14:50.400
<v Speaker 1>with brain computer interfaces has always been, well several One

0:14:50.440 --> 0:14:52.520
<v Speaker 1>of them is that you know, mother nature has wrapped

0:14:52.560 --> 0:14:55.480
<v Speaker 1>the brain in this armored bunker plating, so it's hard

0:14:55.480 --> 0:14:57.360
<v Speaker 1>to get to. But then when you get in there,

0:14:57.760 --> 0:15:00.600
<v Speaker 1>you've got eighty six billion neurons and you have to

0:15:00.600 --> 0:15:03.840
<v Speaker 1>figure out who's saying what. And the traditional way to

0:15:03.880 --> 0:15:07.280
<v Speaker 1>do this is to dunk an electrode in there, which

0:15:07.680 --> 0:15:10.640
<v Speaker 1>really damages the tissue. So obviously people have been trying

0:15:10.680 --> 0:15:13.240
<v Speaker 1>to make electrodes thinner and thinner. But you've got an

0:15:13.280 --> 0:15:16.600
<v Speaker 1>idea that you're working on which is amazing. Tell us

0:15:16.640 --> 0:15:17.040
<v Speaker 1>about that.

0:15:17.440 --> 0:15:19.800
<v Speaker 2>Yeah, so that I can like, there's no free space

0:15:19.800 --> 0:15:22.240
<v Speaker 2>in the brain. The brain is wet, it squished together.

0:15:23.040 --> 0:15:28.680
<v Speaker 2>Evolution has really compressed as much as much as it

0:15:28.680 --> 0:15:30.960
<v Speaker 2>can into as small a space and an energy budget

0:15:30.960 --> 0:15:34.400
<v Speaker 2>as it possibly can, and so there's there has not

0:15:34.520 --> 0:15:37.040
<v Speaker 2>really left holes that we can take advantage of in there.

0:15:37.320 --> 0:15:40.760
<v Speaker 2>Evolution is extremely good at its job, and there's limits

0:15:40.760 --> 0:15:42.720
<v Speaker 2>how small you can make an electrode. You can't make

0:15:42.840 --> 0:15:48.360
<v Speaker 2>a like one nanometer wire because as a wire, just

0:15:48.400 --> 0:15:52.240
<v Speaker 2>any electrical wire gets smaller, the resistance increases there's just

0:15:52.280 --> 0:15:55.880
<v Speaker 2>real limits how small you can make a recording electrode

0:15:56.040 --> 0:15:59.320
<v Speaker 2>before you lose the ability to distinguish the signal that

0:15:59.520 --> 0:16:03.520
<v Speaker 2>you care the biological activity from the background noise. And

0:16:03.560 --> 0:16:07.040
<v Speaker 2>then on the stimulation side, this is actually worse because

0:16:07.080 --> 0:16:09.240
<v Speaker 2>there's real limits how small you can make a stimulating

0:16:09.240 --> 0:16:12.120
<v Speaker 2>electrode before you start splitting water in the brain and

0:16:12.120 --> 0:16:14.720
<v Speaker 2>producing hydrogen and oxygen, and like, you really don't want

0:16:14.720 --> 0:16:17.520
<v Speaker 2>to be doing this, And so we think about, like,

0:16:17.600 --> 0:16:20.080
<v Speaker 2>what does an ideal neural interface look like. I think

0:16:20.120 --> 0:16:23.080
<v Speaker 2>one of the high level intuitions that I started with was, Yeah,

0:16:23.080 --> 0:16:26.200
<v Speaker 2>the brain is encased in this dark vault of a skull,

0:16:26.720 --> 0:16:28.640
<v Speaker 2>but it has to communicate with the world.

0:16:28.960 --> 0:16:30.720
<v Speaker 3>There's like you, the.

0:16:30.720 --> 0:16:34.040
<v Speaker 2>Brain is not telepathically connected to the outside world. I mean,

0:16:34.040 --> 0:16:36.240
<v Speaker 2>it's also important to realize that you're not seeing the

0:16:36.280 --> 0:16:39.400
<v Speaker 2>world out there, right, You're only ever seeing in perceiving

0:16:39.440 --> 0:16:40.960
<v Speaker 2>information that's arrived at the brain.

0:16:41.360 --> 0:16:42.400
<v Speaker 3>And so how does it get there.

0:16:43.400 --> 0:16:45.280
<v Speaker 2>All of the information that flows in or out of

0:16:45.280 --> 0:16:47.760
<v Speaker 2>the brain flows through a relatively small number of cables.

0:16:48.200 --> 0:16:52.160
<v Speaker 2>There's twelve cranial nerves and thirty one spinal nerves. The

0:16:52.200 --> 0:16:55.960
<v Speaker 2>optic nerve is cranial nerve two. The vestibular cochlear nerve

0:16:55.960 --> 0:16:58.520
<v Speaker 2>that carries hearing in balance is also called nerve eight.

0:17:00.080 --> 0:17:03.920
<v Speaker 2>And kind of thinking about you've got this relatively small

0:17:03.960 --> 0:17:06.200
<v Speaker 2>number of wires, we can think about attaching to those

0:17:06.280 --> 0:17:09.320
<v Speaker 2>like we do for getting vision into the brain through

0:17:09.760 --> 0:17:13.560
<v Speaker 2>the remnants of nerve too. But this also kind of

0:17:13.720 --> 0:17:16.120
<v Speaker 2>got in the back of my mind going this idea

0:17:16.119 --> 0:17:18.560
<v Speaker 2>of can we grow a thirteenth cranial nerve that really

0:17:18.560 --> 0:17:21.679
<v Speaker 2>feels like the ideal neural interface. Biology has given us

0:17:21.680 --> 0:17:24.320
<v Speaker 2>other examples of fiber bundles that get information in and

0:17:24.320 --> 0:17:26.879
<v Speaker 2>out of the brain for really any purpose that the

0:17:26.880 --> 0:17:30.639
<v Speaker 2>brain needs. It, is it possible to add a thirteenth

0:17:30.680 --> 0:17:35.000
<v Speaker 2>biological wire that, instead of having an eye at the

0:17:35.000 --> 0:17:37.359
<v Speaker 2>other end or having a bunch of muscles at the

0:17:37.359 --> 0:17:39.480
<v Speaker 2>other end, had a USBC port basically, And so the

0:17:39.560 --> 0:17:41.600
<v Speaker 2>high level intuition here is like, what can we add

0:17:41.600 --> 0:17:43.520
<v Speaker 2>to the brain? How does the brain do this? Like

0:17:43.560 --> 0:17:45.639
<v Speaker 2>how does nature do this on its own? And the

0:17:45.680 --> 0:17:49.560
<v Speaker 2>answers it uses neurons, And so this kind of prompts

0:17:49.600 --> 0:17:51.600
<v Speaker 2>a question what happens if we add more neurons to

0:17:51.640 --> 0:17:54.000
<v Speaker 2>the brain and the answers, they grow in and wire

0:17:54.119 --> 0:18:00.240
<v Speaker 2>up and give you these bidirectional chemical synapses. And so

0:18:00.320 --> 0:18:03.280
<v Speaker 2>this has led to an approach that we call biohybrid

0:18:04.240 --> 0:18:07.800
<v Speaker 2>like biohybrid neural interfaces, and it really feels like it

0:18:07.840 --> 0:18:11.600
<v Speaker 2>has the scalability that many conventional methods don't. Now there

0:18:11.600 --> 0:18:14.680
<v Speaker 2>are alternatives to electrodes, So tell us what a biohybrid

0:18:14.760 --> 0:18:18.800
<v Speaker 2>interface is. So a biohybrid neural interface is when we

0:18:18.840 --> 0:18:22.840
<v Speaker 2>take heavily engineered stem cell derived neurons in a dish,

0:18:23.160 --> 0:18:27.159
<v Speaker 2>we load those into the electronic device, and then what

0:18:27.200 --> 0:18:30.560
<v Speaker 2>you place into the brain is just the ingrafted cells.

0:18:31.040 --> 0:18:34.040
<v Speaker 2>So we're not placing any metal or any like, no

0:18:34.119 --> 0:18:36.480
<v Speaker 2>electronic or mechanical component goes into the brain.

0:18:36.640 --> 0:18:37.679
<v Speaker 1>Instead, you're growing.

0:18:38.560 --> 0:18:42.960
<v Speaker 2>We basically graft these these cells onto the brain through

0:18:43.560 --> 0:18:46.640
<v Speaker 2>an appropriate starting point, and then those grow out form

0:18:46.680 --> 0:18:50.240
<v Speaker 2>new connections just as kind of more more of the brain.

0:18:50.880 --> 0:18:53.160
<v Speaker 1>And this is because mother nature is really good at

0:18:53.240 --> 0:18:55.959
<v Speaker 1>growing cells into groups of other cells and so on.

0:18:56.000 --> 0:18:57.280
<v Speaker 1>So you're taking advantage of that.

0:18:57.400 --> 0:18:59.680
<v Speaker 2>Yeah, we're letting biology do as much as the heavy

0:18:59.720 --> 0:19:01.960
<v Speaker 2>lifting as we can. Now, this creates other problems, but

0:19:02.560 --> 0:19:04.200
<v Speaker 2>the and I think smart people can say, well, now

0:19:04.240 --> 0:19:07.200
<v Speaker 2>you have a really complicated selling engineering problem to solve.

0:19:07.520 --> 0:19:09.760
<v Speaker 2>But if you can solve that in the meaningful way

0:19:09.840 --> 0:19:12.639
<v Speaker 2>that you have to, yeah, you can get biologies do

0:19:12.640 --> 0:19:13.439
<v Speaker 2>a lot of work for you.

0:19:13.720 --> 0:19:16.679
<v Speaker 1>Yeah. So these cells that you're putting on there and

0:19:16.880 --> 0:19:20.320
<v Speaker 1>growing in you have heavily engineered these cells. So tell

0:19:20.400 --> 0:19:21.240
<v Speaker 1>us about that. Yeah.

0:19:21.280 --> 0:19:22.399
<v Speaker 2>So there's a couple of things you need to do.

0:19:22.760 --> 0:19:24.520
<v Speaker 2>The first is it needs to be matched to the

0:19:24.560 --> 0:19:27.479
<v Speaker 2>immune system. Now, if you don't do this, it's you

0:19:27.520 --> 0:19:30.639
<v Speaker 2>can still make a cell therapy for a patient, but

0:19:30.760 --> 0:19:33.920
<v Speaker 2>you need to do it on an individualized patient basis

0:19:33.960 --> 0:19:37.840
<v Speaker 2>per patient. This is very expensive. It can take a

0:19:37.920 --> 0:19:39.800
<v Speaker 2>very long time to make edit the other edits that

0:19:39.840 --> 0:19:42.560
<v Speaker 2>we need. And so the first set of editing that

0:19:42.600 --> 0:19:46.160
<v Speaker 2>we do is to make the neurons hypommunogenic, meaning that

0:19:46.240 --> 0:19:48.520
<v Speaker 2>they don't bother the immune system when you put them

0:19:48.560 --> 0:19:49.240
<v Speaker 2>in a patient.

0:19:49.359 --> 0:19:50.119
<v Speaker 1>So how do you do that?

0:19:51.520 --> 0:19:54.480
<v Speaker 2>This is a much longer topic. There's these things called

0:19:54.520 --> 0:20:01.200
<v Speaker 2>major histoic compatibility complexes, and we need to suppress some

0:20:01.200 --> 0:20:05.560
<v Speaker 2>protein expression and force some other protein expression to basically

0:20:05.600 --> 0:20:09.719
<v Speaker 2>tell the immune system not to eat you and and

0:20:09.800 --> 0:20:11.040
<v Speaker 2>also that you are fine.

0:20:11.280 --> 0:20:13.359
<v Speaker 1>And how far along are you on that pathway? Is

0:20:13.400 --> 0:20:13.960
<v Speaker 1>that solved?

0:20:14.720 --> 0:20:16.480
<v Speaker 2>I mean, I wouldn't say that that's a solved problem.

0:20:16.520 --> 0:20:20.200
<v Speaker 2>I would say as a as a fields, there's several

0:20:20.359 --> 0:20:24.240
<v Speaker 2>standalone companies that their ip is hypo immune agenic stem cells,

0:20:24.720 --> 0:20:26.920
<v Speaker 2>and so we are i'd say, pretty close to the

0:20:26.960 --> 0:20:30.560
<v Speaker 2>state of the art in the field, but it's not perfect.

0:20:30.840 --> 0:20:31.000
<v Speaker 3>Now.

0:20:31.040 --> 0:20:33.720
<v Speaker 2>In the brain, the immune system tends to leave you

0:20:33.760 --> 0:20:36.680
<v Speaker 2>alone more than many other areas like this is, for example,

0:20:36.760 --> 0:20:38.240
<v Speaker 2>a lot of the work that's been done in gene

0:20:38.240 --> 0:20:40.600
<v Speaker 2>therapy so far has been done in the eye because

0:20:40.880 --> 0:20:43.240
<v Speaker 2>the immune system tends not to overreact in the eye

0:20:43.680 --> 0:20:45.960
<v Speaker 2>because when it does in a patient and a subject

0:20:45.960 --> 0:20:49.359
<v Speaker 2>goes blind, this historically is a bad thing. And so

0:20:49.760 --> 0:20:52.200
<v Speaker 2>there's some areas where you tend to get more autoimmune

0:20:52.200 --> 0:20:55.800
<v Speaker 2>reactions in some are Some are anatomy where this happens less.

0:20:55.920 --> 0:20:58.960
<v Speaker 2>The brain is one of the areas where because around

0:20:59.000 --> 0:21:02.080
<v Speaker 2>the time of the surgery you're treating them with systemic

0:21:03.320 --> 0:21:08.040
<v Speaker 2>immunosuppressants anyway, and then once the bloodburned bearer has healed,

0:21:08.359 --> 0:21:16.720
<v Speaker 2>it being approximately hypominogenic is probably fine.

0:21:25.280 --> 0:21:28.600
<v Speaker 1>Okay, So you do that to these cells, you engineer

0:21:28.640 --> 0:21:31.679
<v Speaker 1>them that way, and then you stick them on so

0:21:31.720 --> 0:21:33.840
<v Speaker 1>that they grow in. But of course you're keeping the

0:21:33.960 --> 0:21:37.160
<v Speaker 1>cell bodies outside and then what are you doing with those?

0:21:37.520 --> 0:21:39.520
<v Speaker 2>Yeah, So the next edit that we make is we

0:21:39.520 --> 0:21:43.760
<v Speaker 2>add a protein called a light gated ion channel also

0:21:43.800 --> 0:21:46.439
<v Speaker 2>as an option to these cells, which allows us to

0:21:46.520 --> 0:21:48.360
<v Speaker 2>fire them using light.

0:21:49.000 --> 0:21:50.240
<v Speaker 3>And this is pretty important.

0:21:50.280 --> 0:21:52.880
<v Speaker 2>So when we have so the device that the cell

0:21:52.960 --> 0:21:56.840
<v Speaker 2>is embedded in has two components around each cell. It

0:21:56.880 --> 0:21:59.720
<v Speaker 2>has a recording electrode which allows us to detect the

0:22:00.080 --> 0:22:02.720
<v Speaker 2>date of the cell, and it has a tiny little

0:22:02.720 --> 0:22:04.800
<v Speaker 2>micro LED kind of like you'd have in like your

0:22:04.840 --> 0:22:08.080
<v Speaker 2>phone screen next to the cell. And so when we

0:22:08.119 --> 0:22:10.280
<v Speaker 2>want to fire a neuron, we turn on the LED

0:22:10.560 --> 0:22:12.680
<v Speaker 2>and that depolarizes the cell and sends a pulse into

0:22:12.720 --> 0:22:15.920
<v Speaker 2>the brain. And when that neuron receives input from the brain,

0:22:15.960 --> 0:22:18.400
<v Speaker 2>because it's grown out both inputs and outputs, we can

0:22:18.400 --> 0:22:20.840
<v Speaker 2>detect that with the electrode, and so being able to

0:22:20.880 --> 0:22:24.240
<v Speaker 2>optically stimulate using light and electrically record use it in

0:22:24.440 --> 0:22:27.840
<v Speaker 2>an electrode. A capacity of electrode allows us to minimize

0:22:27.920 --> 0:22:30.600
<v Speaker 2>crosstalk between these so that we can do them both simultaneously.

0:22:31.280 --> 0:22:33.800
<v Speaker 1>And they're sandwiched in between this. So the cell body

0:22:33.840 --> 0:22:36.040
<v Speaker 1>is sandwiched in between the little light and the little

0:22:36.040 --> 0:22:38.640
<v Speaker 1>recording electrode. And so you can say, for this guy,

0:22:38.680 --> 0:22:40.200
<v Speaker 1>I want to turn him on now, and I want

0:22:40.240 --> 0:22:42.720
<v Speaker 1>to record what he's doing through time.

0:22:42.840 --> 0:22:45.479
<v Speaker 2>Yeah, it's not quite exactly one to one, but it's

0:22:45.520 --> 0:22:46.040
<v Speaker 2>pretty close.

0:22:46.200 --> 0:22:50.520
<v Speaker 1>Great, And how many neurons can you grow in there

0:22:50.920 --> 0:22:51.399
<v Speaker 1>at once?

0:22:51.600 --> 0:22:53.879
<v Speaker 2>Well, I mean this is so there's the number of

0:22:53.920 --> 0:22:56.399
<v Speaker 2>electrodes in the device, or number of channels in the device,

0:22:56.800 --> 0:22:58.720
<v Speaker 2>and then there's the number of cells, and then there's

0:22:58.720 --> 0:23:00.399
<v Speaker 2>the number of synapses that you get the brain. And

0:23:00.440 --> 0:23:03.880
<v Speaker 2>these are slightly different things. So the chips that we're

0:23:03.880 --> 0:23:09.160
<v Speaker 2>working with right now have four thousand electrodes per FIN,

0:23:09.840 --> 0:23:12.480
<v Speaker 2>and so we're thin is one of these one of

0:23:12.480 --> 0:23:14.760
<v Speaker 2>these little sandwiches. Yeah, and so it's actually it's really

0:23:14.760 --> 0:23:18.000
<v Speaker 2>eight thousand per because it's four thousand microelids and four

0:23:18.040 --> 0:23:20.359
<v Speaker 2>thousand electrodes. But we call this a four thousand channel

0:23:20.359 --> 0:23:24.040
<v Speaker 2>fin and we're working on stacks of these to scale

0:23:24.040 --> 0:23:27.879
<v Speaker 2>this up to hundreds of thousands of channels in one

0:23:28.240 --> 0:23:31.119
<v Speaker 2>in a couple millimeters by a couple millimeters. But I mean,

0:23:31.119 --> 0:23:34.480
<v Speaker 2>you could load this with a half a milli liter

0:23:34.600 --> 0:23:39.919
<v Speaker 2>of cells, which easily millions of cells, and those can

0:23:40.000 --> 0:23:43.280
<v Speaker 2>form many billions of synapses through the brain.

0:23:43.560 --> 0:23:46.240
<v Speaker 1>Do each of these cells form about let's say, ten

0:23:46.280 --> 0:23:47.720
<v Speaker 1>thousand synapses or.

0:23:47.960 --> 0:23:50.199
<v Speaker 2>I mean it's tough to count them. I mean you

0:23:50.240 --> 0:23:55.000
<v Speaker 2>can get there's the order of magnitude. People think it's

0:23:55.000 --> 0:23:57.159
<v Speaker 2>like maybe about a thousand synapses per cell, but I

0:23:57.160 --> 0:23:59.320
<v Speaker 2>mean we can't. These are tough to actually count.

0:23:59.440 --> 0:24:01.800
<v Speaker 1>Right, If you had a million neurons in there, you'd

0:24:01.800 --> 0:24:04.040
<v Speaker 1>get a billion synapses in the brain.

0:24:04.720 --> 0:24:05.840
<v Speaker 3>Yeah, back of the envelope.

0:24:05.880 --> 0:24:07.679
<v Speaker 1>Back of the envelope. And then so what you'd be

0:24:07.720 --> 0:24:11.720
<v Speaker 1>able to do is stimulate exactly as you want to, Okay,

0:24:11.720 --> 0:24:14.000
<v Speaker 1>fire number three hundred and seventy nine, now, fire number

0:24:14.000 --> 0:24:16.800
<v Speaker 1>one hundred and fifteen, and son, and then record the

0:24:16.880 --> 0:24:20.480
<v Speaker 1>activity going on there so you can read and write.

0:24:20.840 --> 0:24:22.359
<v Speaker 3>Yeah, so you can read and write. And it's a

0:24:22.359 --> 0:24:23.359
<v Speaker 3>fairly complex.

0:24:23.880 --> 0:24:26.800
<v Speaker 2>So you've got this transform between the activate the activities

0:24:26.840 --> 0:24:28.800
<v Speaker 2>and the cells and your device and what's going on

0:24:28.840 --> 0:24:30.800
<v Speaker 2>in the brain. We don't think of it in terms

0:24:30.840 --> 0:24:33.600
<v Speaker 2>of the single unit activity. In the beginning of the field,

0:24:33.840 --> 0:24:36.520
<v Speaker 2>we were really thinking in terms of single neurons, and

0:24:36.600 --> 0:24:40.000
<v Speaker 2>in the very beginning, the first experiments that were done

0:24:40.040 --> 0:24:43.760
<v Speaker 2>in animals didn't have a model of brain activity really

0:24:43.800 --> 0:24:45.600
<v Speaker 2>at all. What they did is they place electrodes in

0:24:45.640 --> 0:24:49.399
<v Speaker 2>the brain and then say, when this neuron fires, the

0:24:49.680 --> 0:24:51.920
<v Speaker 2>cursor should go up, and when this neuron fires, the

0:24:51.960 --> 0:24:53.960
<v Speaker 2>cursor should go down, and you just can learn to

0:24:53.960 --> 0:24:57.280
<v Speaker 2>separate these things. So the brain is very plastic under feedback.

0:24:57.800 --> 0:25:00.480
<v Speaker 2>Now that works for a very small number of channels,

0:25:00.480 --> 0:25:03.520
<v Speaker 2>and of course the subject isn't learning to modulate those

0:25:03.560 --> 0:25:06.760
<v Speaker 2>neurons specifically. They're actually modulating big groups of neurons around

0:25:06.800 --> 0:25:09.159
<v Speaker 2>where the electrode is, and so as you go to

0:25:09.240 --> 0:25:14.439
<v Speaker 2>higher level control, that doesn't really work anymore. But the

0:25:14.480 --> 0:25:22.000
<v Speaker 2>brain has these abstract informational representations of things like intended

0:25:22.000 --> 0:25:27.680
<v Speaker 2>motor activity or face recognition or other things that objects

0:25:27.720 --> 0:25:30.680
<v Speaker 2>that it thinks about, and so we're still at the

0:25:30.720 --> 0:25:33.639
<v Speaker 2>early stages of learning to use these devices. Really different

0:25:33.640 --> 0:25:38.280
<v Speaker 2>type of BCI, But how we think what we think

0:25:38.320 --> 0:25:41.040
<v Speaker 2>we're seeing is these cells would really join these cortical

0:25:41.119 --> 0:25:43.879
<v Speaker 2>representations and then just become part of part of the brain,

0:25:44.240 --> 0:25:46.480
<v Speaker 2>and you can do neuroscience on them like you would

0:25:46.480 --> 0:25:48.320
<v Speaker 2>any other part of the brain, except that the soel

0:25:48.359 --> 0:25:50.120
<v Speaker 2>body is right there in your device and really easy

0:25:50.119 --> 0:25:50.560
<v Speaker 2>to observe.

0:25:51.040 --> 0:25:53.760
<v Speaker 1>What are the biggest challenges that you're facing in terms

0:25:53.760 --> 0:25:56.800
<v Speaker 1>of bridging these digital systems and these biological systems.

0:25:57.119 --> 0:26:00.560
<v Speaker 2>There's many of the hard problems here are not the

0:26:00.600 --> 0:26:04.200
<v Speaker 2>really obvious sexy ones. In fact, actually I realized the

0:26:03.840 --> 0:26:06.200
<v Speaker 2>other other week that the very first piece of writing

0:26:06.200 --> 0:26:08.840
<v Speaker 2>that I put on the Internet was kind of this

0:26:09.000 --> 0:26:11.159
<v Speaker 2>like sophomore literally as a software I call it, but

0:26:11.600 --> 0:26:14.879
<v Speaker 2>the software grant about how like back in circa two

0:26:14.920 --> 0:26:17.560
<v Speaker 2>thousand and eight, everyone felt like the hard problems here

0:26:17.560 --> 0:26:20.760
<v Speaker 2>were understanding the neural code and like real science to

0:26:20.880 --> 0:26:24.679
<v Speaker 2>study these like deep neuroscience questions, and it was kind

0:26:24.720 --> 0:26:26.480
<v Speaker 2>of for the technicians to figure out how to get

0:26:26.480 --> 0:26:28.439
<v Speaker 2>the electrodes in the brain, whereas actually the problem is

0:26:28.440 --> 0:26:30.960
<v Speaker 2>how do you get these electrodes in the brain. And

0:26:31.480 --> 0:26:33.600
<v Speaker 2>certainly the neuroscience has advanced a lot, and the neuroscience

0:26:33.640 --> 0:26:35.840
<v Speaker 2>is very cool, but a lot of the problems here

0:26:35.840 --> 0:26:39.119
<v Speaker 2>are things like packaging, which is a fancy term for

0:26:39.760 --> 0:26:42.880
<v Speaker 2>when you place an electronic device in the body, it's

0:26:42.920 --> 0:26:45.000
<v Speaker 2>going to be it's going to be attacked, it's going

0:26:45.040 --> 0:26:48.600
<v Speaker 2>to be degraded, it gets encapsulated in scar tissue that

0:26:48.960 --> 0:26:53.119
<v Speaker 2>neurons are pulled away from you. There's these very harsh

0:26:53.520 --> 0:26:56.280
<v Speaker 2>chemical environments that try to attack and destroy your device.

0:26:57.040 --> 0:26:59.479
<v Speaker 2>It's important to realize that there are no truly passive

0:26:59.520 --> 0:27:02.480
<v Speaker 2>surfaces anywhere in the body, like even bone is constantly

0:27:02.480 --> 0:27:05.960
<v Speaker 2>getting remodeled and turned over and regenerated, and so when

0:27:06.000 --> 0:27:09.000
<v Speaker 2>you place one of these non regenerating device in the body,

0:27:09.000 --> 0:27:11.480
<v Speaker 2>it's going to be attacked. And so now we have

0:27:11.600 --> 0:27:13.920
<v Speaker 2>we have much better materials than we did ten years ago,

0:27:14.440 --> 0:27:20.760
<v Speaker 2>specifically things like silicon carbide, which is really annoying material

0:27:20.800 --> 0:27:22.880
<v Speaker 2>to work with, but a very good encapsulant that does

0:27:22.920 --> 0:27:24.920
<v Speaker 2>not degrade in the body in the same way as

0:27:24.920 --> 0:27:28.199
<v Speaker 2>these older polymer king capsulans do. It's like, if you

0:27:28.200 --> 0:27:29.720
<v Speaker 2>look at the history of Prima part of like how

0:27:29.760 --> 0:27:30.840
<v Speaker 2>did PIXI them, the company we.

0:27:30.800 --> 0:27:31.719
<v Speaker 3>Bought this get here?

0:27:31.880 --> 0:27:35.320
<v Speaker 2>They actually had an approved device in the I want

0:27:35.320 --> 0:27:37.800
<v Speaker 2>to say twenty fourteen twenty fifteen called Iris, which was

0:27:37.840 --> 0:27:40.879
<v Speaker 2>a different retinal prosthesis and it worked very differently. It

0:27:40.920 --> 0:27:45.159
<v Speaker 2>had a conventional electronics package, It required a battery, but

0:27:45.400 --> 0:27:47.920
<v Speaker 2>it was it was got on market and then was

0:27:48.160 --> 0:27:52.480
<v Speaker 2>withdrawn and it was withdrawn because of packaging failures. Basically,

0:27:52.520 --> 0:27:56.040
<v Speaker 2>the device didn't have an acceptable lifespan in human patients

0:27:56.080 --> 0:27:59.480
<v Speaker 2>once on the market, and that was like they were

0:27:59.720 --> 0:28:01.720
<v Speaker 2>using materials that were available at the time, which was

0:28:01.800 --> 0:28:03.880
<v Speaker 2>before we figured out, as I feel, how to work

0:28:03.920 --> 0:28:07.479
<v Speaker 2>with things like silicon carbide. And that is an example

0:28:07.520 --> 0:28:09.760
<v Speaker 2>of a problem that enabled Prima to work. So Prima

0:28:09.880 --> 0:28:12.679
<v Speaker 2>is a full carbid encapsulation and it should last I

0:28:12.680 --> 0:28:15.280
<v Speaker 2>mean there's now dat out to six years and some

0:28:15.280 --> 0:28:16.840
<v Speaker 2>patients and it should outlast these patients.

0:28:16.840 --> 0:28:17.719
<v Speaker 3>It should last decades.

0:28:18.240 --> 0:28:18.600
<v Speaker 1>Amazing.

0:28:18.640 --> 0:28:20.400
<v Speaker 2>And so that's an example of like a big area

0:28:20.440 --> 0:28:22.119
<v Speaker 2>of progress in the last few years that people wouldn't

0:28:22.119 --> 0:28:22.520
<v Speaker 2>really think of.

0:28:23.400 --> 0:28:27.080
<v Speaker 1>And so, what are some surprising findings or unexpected obstacles

0:28:27.119 --> 0:28:30.960
<v Speaker 1>that you've run into while doing let's say the biohybrid electrodes.

0:28:31.840 --> 0:28:35.399
<v Speaker 2>I mean, biology is just it's when it works, it

0:28:35.400 --> 0:28:38.120
<v Speaker 2>can do a lot of things that we humanity is

0:28:38.200 --> 0:28:42.040
<v Speaker 2>just not at that level of capability yet. But also

0:28:42.520 --> 0:28:47.280
<v Speaker 2>in neural engineering or either whether that means systems neuroscience

0:28:47.480 --> 0:28:52.320
<v Speaker 2>or BCI, you'll start in mice and then maybe you'll

0:28:52.360 --> 0:28:54.640
<v Speaker 2>work in an intermediate species like pigs and then eventually

0:28:54.720 --> 0:28:57.000
<v Speaker 2>end up in monkeys, then end up in humans. And

0:28:57.120 --> 0:29:02.880
<v Speaker 2>when you have an electrode or even something like optogenetics

0:29:03.440 --> 0:29:05.520
<v Speaker 2>that works basically the same in mice as a dozen

0:29:05.520 --> 0:29:08.480
<v Speaker 2>monkeys as it does in humans. When you're engrafting neurons

0:29:08.520 --> 0:29:10.360
<v Speaker 2>into the brain, I mean, there's a big difference between

0:29:10.360 --> 0:29:14.520
<v Speaker 2>mouse neurons and human neurons and macac neurons are different

0:29:14.520 --> 0:29:17.240
<v Speaker 2>thing entirely, and so you end up having to redo

0:29:17.280 --> 0:29:19.280
<v Speaker 2>a bunch of this work in each species that you

0:29:19.320 --> 0:29:22.240
<v Speaker 2>work in, and so there's every time we switch species,

0:29:22.280 --> 0:29:24.800
<v Speaker 2>there's a lot to relearn. And fifteen years ago now

0:29:25.080 --> 0:29:27.520
<v Speaker 2>probably something like that, there is a major discovery of

0:29:27.920 --> 0:29:31.280
<v Speaker 2>the ability to turn any cell into a stem cell. Again,

0:29:31.320 --> 0:29:34.000
<v Speaker 2>this was a discovery called induced plury potency, won the

0:29:34.000 --> 0:29:37.640
<v Speaker 2>Nobel Prize a while ago, and that works really well

0:29:37.680 --> 0:29:41.440
<v Speaker 2>in rodents, it works really well in human cells. Turning

0:29:41.640 --> 0:29:46.920
<v Speaker 2>a macaque skin cell into an ips is like there's

0:29:46.960 --> 0:29:48.600
<v Speaker 2>just a bunch of little tricks that don't work as well.

0:29:49.040 --> 0:29:51.440
<v Speaker 2>And so the biology is pretty deep in all of

0:29:51.480 --> 0:29:51.920
<v Speaker 2>these areas.

0:29:51.920 --> 0:29:55.440
<v Speaker 1>It's surprising that those are different, but you know, just

0:29:55.440 --> 0:29:57.320
<v Speaker 1>given the evolutionary shared history.

0:29:57.400 --> 0:29:59.400
<v Speaker 2>But yes, yeah, I mean there's a lot that's conserved,

0:29:59.400 --> 0:30:00.960
<v Speaker 2>but there's also a lot of little things that are

0:30:00.960 --> 0:30:01.600
<v Speaker 2>slightly different.

0:30:01.680 --> 0:30:04.400
<v Speaker 1>Yeah, quite right. So big congratulations on where Prima is

0:30:04.480 --> 0:30:08.480
<v Speaker 1>right now. That's so exciting. On the biohybrid electrodes, it

0:30:08.520 --> 0:30:10.719
<v Speaker 1>said you have growing neurons into the brain and then

0:30:10.760 --> 0:30:12.880
<v Speaker 1>being able to read and write that way. When do

0:30:12.920 --> 0:30:14.680
<v Speaker 1>you think that's going to be ready in humans? What's

0:30:14.720 --> 0:30:15.200
<v Speaker 1>your prediction.

0:30:16.280 --> 0:30:18.840
<v Speaker 2>I think that the first human ingraftment will happen around

0:30:18.880 --> 0:30:23.360
<v Speaker 2>twenty thirty, okay, so I think like probably five years, okay.

0:30:24.040 --> 0:30:26.360
<v Speaker 1>And what is the first thing you're going to tackle

0:30:26.400 --> 0:30:27.520
<v Speaker 1>once it gets into humans?

0:30:28.040 --> 0:30:30.600
<v Speaker 2>Well, I mean it should be it's a communication device,

0:30:30.840 --> 0:30:34.320
<v Speaker 2>and so motory coding, speech to coding, all of that

0:30:34.360 --> 0:30:36.440
<v Speaker 2>should be possible. And so I think in the near

0:30:36.520 --> 0:30:39.520
<v Speaker 2>term it's you're looking at the figure of merit for

0:30:39.520 --> 0:30:43.080
<v Speaker 2>any brain computer interface for communication is a bandwidth measured

0:30:43.080 --> 0:30:47.000
<v Speaker 2>in bits per second. The record for keyboard and mouse

0:30:47.360 --> 0:30:50.120
<v Speaker 2>kind of low dimension motority coding is about seven bits

0:30:50.120 --> 0:30:53.760
<v Speaker 2>per second, which is I think neuralinks current participants. There's

0:30:53.760 --> 0:30:58.160
<v Speaker 2>a group at UC Davis led by saying Nick Card

0:30:58.280 --> 0:31:01.760
<v Speaker 2>and Sergey Staviski, who recently showed speech to coding from

0:31:01.800 --> 0:31:03.880
<v Speaker 2>pridal cortex that gets about twenty to twenty five e

0:31:03.880 --> 0:31:08.960
<v Speaker 2>bits per second. Human language is routinely rated at forty

0:31:09.040 --> 0:31:10.680
<v Speaker 2>bits per second, So you think that you can as

0:31:10.720 --> 0:31:12.520
<v Speaker 2>them tote towards that, and so I think in the

0:31:12.560 --> 0:31:14.160
<v Speaker 2>near term what we're looking for is a forty bit

0:31:14.200 --> 0:31:19.000
<v Speaker 2>per second communication prosthesis. Longer term, this is where neural

0:31:19.040 --> 0:31:22.360
<v Speaker 2>engineering and BCI diverge a little bit, and there's a

0:31:22.360 --> 0:31:24.480
<v Speaker 2>lot of interest internally at looking at how is this

0:31:24.520 --> 0:31:28.560
<v Speaker 2>applicable in stroke or other areas where you've lost cells

0:31:28.880 --> 0:31:32.480
<v Speaker 2>where conventional BCI techniques really won't work in the same way,

0:31:33.240 --> 0:31:36.680
<v Speaker 2>and potentially even organic nerd degenerative diseases, But those are

0:31:36.760 --> 0:31:39.120
<v Speaker 2>very hard and I don't want over promise on the

0:31:39.120 --> 0:31:39.880
<v Speaker 2>timeline there.

0:31:40.960 --> 0:31:43.280
<v Speaker 1>Now, if we were just going to blue sky here,

0:31:43.480 --> 0:31:47.080
<v Speaker 1>part of the mythology about BCIs is that at some

0:31:47.200 --> 0:31:50.400
<v Speaker 1>point everyone will have one of these for summer, you know,

0:31:50.440 --> 0:31:52.560
<v Speaker 1>for communicating faster with their cell phone or their computer

0:31:52.600 --> 0:31:54.920
<v Speaker 1>or whatever. To what degree do you think that's hype

0:31:55.120 --> 0:31:59.000
<v Speaker 1>versus let's imagine one hundred years from now, where do

0:31:59.080 --> 0:32:01.160
<v Speaker 1>you realistically see think it's going to be in terms

0:32:01.160 --> 0:32:02.720
<v Speaker 1>of the amount of market it has.

0:32:02.920 --> 0:32:05.400
<v Speaker 2>Yeah, I mean one hundred years from now. I have

0:32:05.520 --> 0:32:08.480
<v Speaker 2>this event horizon somewhere between twenty thirty and twenty thirty

0:32:08.520 --> 0:32:10.680
<v Speaker 2>five now that I just can't see beyond, and kind

0:32:10.680 --> 0:32:12.600
<v Speaker 2>of for my entire life, I always kind kind of

0:32:12.640 --> 0:32:15.840
<v Speaker 2>like see the future, and we are clearly in the

0:32:15.880 --> 0:32:19.040
<v Speaker 2>takeoff era now, and this is not I don't think

0:32:19.040 --> 0:32:21.400
<v Speaker 2>I'm saying anything that contrarian, at least in Silicon Valley,

0:32:21.440 --> 0:32:24.160
<v Speaker 2>but one hundred years from now is almost impossible for

0:32:24.200 --> 0:32:24.920
<v Speaker 2>me to imagine.

0:32:25.240 --> 0:32:25.480
<v Speaker 3>Now.

0:32:25.520 --> 0:32:28.240
<v Speaker 2>With that said, I don't think that healthy forty year

0:32:28.240 --> 0:32:30.239
<v Speaker 2>olds are going to be getting holes drilled in their

0:32:30.240 --> 0:32:33.320
<v Speaker 2>skull anytime soon. My view is that it'll be a

0:32:33.440 --> 0:32:38.120
<v Speaker 2>long time before these things are really augmentative, much less

0:32:38.120 --> 0:32:42.240
<v Speaker 2>elective procedures. But everybody eventually becomes a patient. There's some

0:32:42.360 --> 0:32:45.480
<v Speaker 2>point as you get older. For example, the main indication

0:32:45.520 --> 0:32:50.360
<v Speaker 2>of prima is age related macular degeneration, which is very

0:32:50.360 --> 0:32:53.400
<v Speaker 2>common and if someone lives into their late seventies or eighties,

0:32:54.280 --> 0:32:57.800
<v Speaker 2>is actually pretty prevalent, and so for many many of

0:32:57.840 --> 0:33:00.600
<v Speaker 2>these things. Eventually there will come a time when it

0:33:00.640 --> 0:33:03.560
<v Speaker 2>makes sense. I mean we consider retinal prostisis and cochlear

0:33:03.840 --> 0:33:09.440
<v Speaker 2>prosteces also BCIs when I look at, say twenty years

0:33:09.480 --> 0:33:14.200
<v Speaker 2>from now, the things that I that are very much research.

0:33:14.320 --> 0:33:16.400
<v Speaker 2>This is not a thing that's happening in the next

0:33:16.440 --> 0:33:19.840
<v Speaker 2>five years. But if you can get a neural interface

0:33:20.200 --> 0:33:23.920
<v Speaker 2>with the bandwidth of that say like the two hemispheres

0:33:23.920 --> 0:33:26.240
<v Speaker 2>are connected, which is about one hundred million fibers on

0:33:26.280 --> 0:33:28.520
<v Speaker 2>both sides that project across the midline to connect the

0:33:28.560 --> 0:33:32.520
<v Speaker 2>two hemispheres of your brain into a single thing. If

0:33:32.560 --> 0:33:35.280
<v Speaker 2>you can get something of that bandwidth, which is probably

0:33:35.400 --> 0:33:39.760
<v Speaker 2>only tens of megabits, then this takes you into really

0:33:39.800 --> 0:33:42.760
<v Speaker 2>interesting territory about really being able to redraw the borders

0:33:42.760 --> 0:33:45.560
<v Speaker 2>around brains and gets at this thing called the binding problem.

0:33:46.160 --> 0:33:48.880
<v Speaker 3>And that feels less than twenty years away for me.

0:33:48.960 --> 0:33:52.200
<v Speaker 2>This feels not like the next five years, but not

0:33:52.200 --> 0:33:54.720
<v Speaker 2>not to the distant future like within people's lifespans today.

0:33:55.040 --> 0:33:56.960
<v Speaker 1>So let's stile click on that tell us about the

0:33:57.000 --> 0:33:58.880
<v Speaker 1>binding problem and how you think this addresses that.

0:34:00.000 --> 0:34:01.400
<v Speaker 2>But I mean, I don't have a solution for the

0:34:01.640 --> 0:34:04.000
<v Speaker 2>binding problem. Is if the brain is made up of

0:34:04.000 --> 0:34:05.800
<v Speaker 2>a lot of different neurons and a lot of different

0:34:05.800 --> 0:34:08.680
<v Speaker 2>areas kind of connected together. Why do we Where does

0:34:08.760 --> 0:34:13.080
<v Speaker 2>this unified perception come from? You? You see the world,

0:34:13.080 --> 0:34:14.880
<v Speaker 2>you can think about it, you hear things. All of

0:34:14.880 --> 0:34:17.040
<v Speaker 2>this is fit together into a coherent hole for you.

0:34:17.120 --> 0:34:20.080
<v Speaker 1>When the bluebird flies past you, the blue doesn't come

0:34:20.120 --> 0:34:22.000
<v Speaker 1>off of the bird, and the chirping doesn't seem like

0:34:22.040 --> 0:34:24.840
<v Speaker 1>it's coming from somewhere else. It seems like a unified object. Yeah, exactly,

0:34:24.920 --> 0:34:27.399
<v Speaker 1>even though even though blue is processed apparently in one

0:34:27.440 --> 0:34:29.320
<v Speaker 1>part of your brain and the motion another part, and

0:34:29.400 --> 0:34:31.200
<v Speaker 1>the chirping in a different part. Yeah, okay.

0:34:31.360 --> 0:34:34.080
<v Speaker 2>And so in some there's some sense in which almost

0:34:34.120 --> 0:34:38.319
<v Speaker 2>all communication is about creating correlations between brains. There's we're

0:34:38.360 --> 0:34:41.360
<v Speaker 2>having a conversation right now. There's concept spaces in my

0:34:41.440 --> 0:34:45.000
<v Speaker 2>brain that are being active that I developed from education,

0:34:45.120 --> 0:34:48.680
<v Speaker 2>like learning English learning, math learning, science, doing these things,

0:34:49.200 --> 0:34:53.440
<v Speaker 2>and I can serialize these neural activations to vibrations over

0:34:53.480 --> 0:34:56.080
<v Speaker 2>the air, send over to you, receive through your ears

0:34:56.280 --> 0:34:59.120
<v Speaker 2>that then activate these correlations in your brain that allow

0:34:59.200 --> 0:35:04.120
<v Speaker 2>us to share these concepts. But we don't. Our brains

0:35:04.160 --> 0:35:09.680
<v Speaker 2>don't become one thing. And so there's there's some point

0:35:09.800 --> 0:35:12.239
<v Speaker 2>between the types of correlations that you get between the

0:35:12.239 --> 0:35:14.480
<v Speaker 2>hemispheres of a brain and the types of correlations that

0:35:14.480 --> 0:35:18.000
<v Speaker 2>we get between brains that are in dialogue. And where

0:35:18.040 --> 0:35:21.680
<v Speaker 2>does this Where is that crossing point? We don't know today,

0:35:22.560 --> 0:35:26.840
<v Speaker 2>but I think that biohybrid devices have the potential to

0:35:26.520 --> 0:35:29.440
<v Speaker 2>get close to there, and that takes us to really

0:35:29.680 --> 0:35:34.320
<v Speaker 2>different regimes than kind of conventional VCI technology.

0:35:34.440 --> 0:35:35.919
<v Speaker 1>Let me just make sure I understand what you said.

0:35:35.920 --> 0:35:39.839
<v Speaker 1>So the idea is, if you're reading and writing from

0:35:39.880 --> 0:35:42.920
<v Speaker 1>my brain and from your brain, we can get closer

0:35:42.960 --> 0:35:44.120
<v Speaker 1>to being a single brain.

0:35:45.239 --> 0:35:47.040
<v Speaker 2>Well, like, yeah, the question is like, where does that happen?

0:35:47.239 --> 0:35:50.719
<v Speaker 2>What makes I mean? People back in This has done

0:35:50.800 --> 0:35:53.640
<v Speaker 2>less commonly now, but it was never really done that commonly.

0:35:53.719 --> 0:35:56.120
<v Speaker 2>But people used to cut the connection between the two

0:35:56.160 --> 0:35:58.799
<v Speaker 2>hemispheres of the brain to treat epilepsy. You could prevent

0:35:58.800 --> 0:36:02.440
<v Speaker 2>a seizure from spreading from one to the other. And

0:36:03.320 --> 0:36:06.719
<v Speaker 2>those split brain patients were really interesting to study.

0:36:06.440 --> 0:36:07.520
<v Speaker 3>Because you could.

0:36:09.640 --> 0:36:12.879
<v Speaker 2>You could ask kind of the right hand a question

0:36:12.920 --> 0:36:15.160
<v Speaker 2>which would go to the left hemisphere, and then you

0:36:15.160 --> 0:36:18.000
<v Speaker 2>could ask the other hand, which was coming from the

0:36:18.040 --> 0:36:21.360
<v Speaker 2>other hemisphere, to kind of answer, and you get the

0:36:21.440 --> 0:36:23.759
<v Speaker 2>sense that there's two agents going on.

0:36:23.760 --> 0:36:24.279
<v Speaker 3>In one head.

0:36:24.480 --> 0:36:25.640
<v Speaker 1>Yeah, one in each hemisphere.

0:36:25.680 --> 0:36:28.680
<v Speaker 2>And so if you take that then the opposite direction,

0:36:28.880 --> 0:36:32.480
<v Speaker 2>what do you get? I think is really interesting.

0:36:32.800 --> 0:36:36.120
<v Speaker 1>You're saying, put four hemispheres together and yeah you get Yeah,

0:36:36.560 --> 0:36:38.840
<v Speaker 1>Now who would do this? Who would volunteer for example,

0:36:39.760 --> 0:36:41.080
<v Speaker 1>two spouses for example?

0:36:41.200 --> 0:36:41.880
<v Speaker 3>Yeah, exactly.

0:36:41.920 --> 0:36:46.399
<v Speaker 2>So I think this is in the beginning this this

0:36:46.440 --> 0:36:49.040
<v Speaker 2>is going to be something like you've got like a

0:36:49.120 --> 0:36:52.200
<v Speaker 2>long married couple one has a terminal disease. Can you

0:36:52.280 --> 0:36:56.320
<v Speaker 2>make the loss of that brain like having a stroke

0:36:56.360 --> 0:36:59.359
<v Speaker 2>you recover from, rather than the that rather than lights out?

0:37:00.160 --> 0:37:03.759
<v Speaker 1>Oh wow, and we double click on that story. What

0:37:03.800 --> 0:37:04.959
<v Speaker 1>would the narrative be there?

0:37:05.120 --> 0:37:09.279
<v Speaker 2>Well, I mean you get so the if you have

0:37:09.480 --> 0:37:12.200
<v Speaker 2>if you can build these super organisms and get kind

0:37:12.200 --> 0:37:15.319
<v Speaker 2>of equilibration of representation over some extended period of time.

0:37:16.080 --> 0:37:19.600
<v Speaker 2>I mean, people already store memories in their spouse's brains

0:37:19.600 --> 0:37:21.640
<v Speaker 2>that then they can access and recall later. Right, this

0:37:21.680 --> 0:37:24.040
<v Speaker 2>is about creating correlations between brains, and so there's some

0:37:25.000 --> 0:37:27.319
<v Speaker 2>they suspect that there's some nonlinearity in there where you

0:37:27.360 --> 0:37:29.960
<v Speaker 2>get something really different, but of course we don't know

0:37:30.000 --> 0:37:32.799
<v Speaker 2>exactly where that is yet. I mean, this is a

0:37:32.800 --> 0:37:36.400
<v Speaker 2>tricky field because there's a fine line between doing very

0:37:37.239 --> 0:37:39.440
<v Speaker 2>like we're right now in the process of preparing twelve

0:37:39.560 --> 0:37:43.920
<v Speaker 2>hundred pages of regulatory documentation that is like very nuanced

0:37:43.960 --> 0:37:47.080
<v Speaker 2>in exactly how you do these tests to verify these

0:37:47.120 --> 0:37:49.479
<v Speaker 2>like things that have passed clinical trials that are in

0:37:49.680 --> 0:37:53.799
<v Speaker 2>almost fifty patients in six countries, and then you kind

0:37:53.800 --> 0:37:56.360
<v Speaker 2>of play some of these technologies out not even that

0:37:56.440 --> 0:37:58.360
<v Speaker 2>long five ten years, and you sound like a lunatic.

0:37:58.840 --> 0:38:01.200
<v Speaker 2>But that's part of why this is such an exciting field.

0:38:01.239 --> 0:38:04.680
<v Speaker 1>I think, right, what would you see so I know,

0:38:04.800 --> 0:38:07.440
<v Speaker 1>I know the event horizon for both of us is,

0:38:07.480 --> 0:38:10.040
<v Speaker 1>you know, not more much more than a decade out.

0:38:10.080 --> 0:38:13.680
<v Speaker 1>But what would you see is the societal benefits that

0:38:13.680 --> 0:38:16.560
<v Speaker 1>could happen from this, you know, at whatever time scale,

0:38:17.880 --> 0:38:20.920
<v Speaker 1>for example, connecting brains or something. Have you thought about

0:38:20.960 --> 0:38:23.719
<v Speaker 1>what that could what that would turn into not just responuses,

0:38:23.760 --> 0:38:24.520
<v Speaker 1>but for society.

0:38:25.080 --> 0:38:26.800
<v Speaker 2>I mean at the end of that is this idea

0:38:26.800 --> 0:38:30.319
<v Speaker 2>of substrate independence, which is the thing like when I,

0:38:30.640 --> 0:38:32.560
<v Speaker 2>like I see a person, there's two parts of this.

0:38:32.640 --> 0:38:36.480
<v Speaker 2>There's the there's the robot, and there's an agent. And

0:38:37.080 --> 0:38:39.040
<v Speaker 2>I'm going to be pretty pretty disappointed if I get

0:38:39.120 --> 0:38:42.400
<v Speaker 2>murdered by my pancreas, which is like basically a support

0:38:42.440 --> 0:38:46.720
<v Speaker 2>structure for like keeping the agent going. And so there's

0:38:47.000 --> 0:38:48.799
<v Speaker 2>I think this takes us to Okay, if we're serious

0:38:48.800 --> 0:38:51.000
<v Speaker 2>about exploring the universe, I think we have to adapt

0:38:51.040 --> 0:38:54.000
<v Speaker 2>ourselves the environment rather than bringing little pressurized bottles of

0:38:54.000 --> 0:38:56.759
<v Speaker 2>Earth with us everywhere we go. Because our like once

0:38:56.840 --> 0:38:58.640
<v Speaker 2>great grandparents grew up on a planet that happened to

0:38:58.680 --> 0:39:01.040
<v Speaker 2>have those things, and so I think this is like

0:39:01.200 --> 0:39:02.520
<v Speaker 2>very profound technology.

0:39:02.640 --> 0:39:05.960
<v Speaker 1>So substrate independence, just for the audience, means getting off

0:39:06.000 --> 0:39:08.880
<v Speaker 1>of this wet biological stuff and onto something more robust,

0:39:08.960 --> 0:39:10.960
<v Speaker 1>like a silicon chip or something. In other words, getting

0:39:12.000 --> 0:39:17.160
<v Speaker 1>your mind into something that can survive space travel.

0:39:16.920 --> 0:39:19.839
<v Speaker 2>Which could be other biological brains, or it could be

0:39:20.160 --> 0:39:25.520
<v Speaker 2>an engineered system. Brains are composed of ordinary matter assembled

0:39:25.520 --> 0:39:26.719
<v Speaker 2>by the rules of chemistry.

0:39:26.960 --> 0:39:28.080
<v Speaker 3>There's no magic in there.

0:39:28.080 --> 0:39:31.800
<v Speaker 2>They're very complicated and we don't have obviously complete explanations

0:39:31.840 --> 0:39:35.160
<v Speaker 2>for how they work. But they're ultimately physical systems, and

0:39:35.239 --> 0:39:37.800
<v Speaker 2>so there's something that they're doing that's producing this experience

0:39:37.840 --> 0:39:39.320
<v Speaker 2>that ultimately must be explainable.

0:39:55.239 --> 0:39:58.120
<v Speaker 1>And so what you're doing with the electrodes, the biohybrid

0:39:58.120 --> 0:40:01.799
<v Speaker 1>electrodes in the brain. How does this lead to substrate independence?

0:40:02.320 --> 0:40:04.719
<v Speaker 2>Well, the idea is that if you can get like,

0:40:04.800 --> 0:40:07.640
<v Speaker 2>if you can really, in some profound sense, lose track

0:40:07.640 --> 0:40:11.160
<v Speaker 2>of where one brain ends in another begins, then where

0:40:11.200 --> 0:40:12.680
<v Speaker 2>does this take you. I have no idea what that

0:40:12.760 --> 0:40:14.759
<v Speaker 2>experience will feel like, but I'm pretty confident that that

0:40:14.800 --> 0:40:16.400
<v Speaker 2>device is going to get made in the next decade.

0:40:16.440 --> 0:40:17.720
<v Speaker 3>And this is research.

0:40:17.760 --> 0:40:20.200
<v Speaker 2>This is not a there's nothing to sell here yet,

0:40:20.280 --> 0:40:23.680
<v Speaker 2>but it's the type of frontier that is enabled by

0:40:23.760 --> 0:40:26.000
<v Speaker 2>the types of devices that are getting made now and

0:40:26.040 --> 0:40:29.000
<v Speaker 2>that and there's I think enough near term commercial revenue

0:40:29.040 --> 0:40:31.759
<v Speaker 2>from things like the from the visual pres thesis to

0:40:32.280 --> 0:40:33.000
<v Speaker 2>fund this.

0:40:33.000 --> 0:40:33.760
<v Speaker 3>This stuff happening.

0:40:34.080 --> 0:40:36.640
<v Speaker 1>So if you're able to read from the brain, then

0:40:36.680 --> 0:40:38.640
<v Speaker 1>you can take that data and put it into a

0:40:38.680 --> 0:40:40.040
<v Speaker 1>different substrate.

0:40:40.080 --> 0:40:42.600
<v Speaker 2>Whether that requires so to do that, that requires new

0:40:42.600 --> 0:40:44.600
<v Speaker 2>physics that we don't understand today. We'd have to really

0:40:44.719 --> 0:40:49.120
<v Speaker 2>understand what is the brain doing that is producing this

0:40:49.320 --> 0:40:52.839
<v Speaker 2>ordered experience that we have. But I strongly suspect that

0:40:52.960 --> 0:40:56.960
<v Speaker 2>intelligence and consciousness are separate or independent. Is possible to

0:40:56.960 --> 0:40:59.800
<v Speaker 2>have a pure experience in the absence of adaptive behavior

0:41:00.160 --> 0:41:03.680
<v Speaker 2>and it's possible to have very apparent adaptive behavior and

0:41:03.680 --> 0:41:08.080
<v Speaker 2>the absence of experience, So these things are separate now.

0:41:09.360 --> 0:41:12.080
<v Speaker 2>In order to have true substrate independence, like you could

0:41:12.120 --> 0:41:14.440
<v Speaker 2>build a silicon based system that is as good as

0:41:14.480 --> 0:41:18.279
<v Speaker 2>our brains. This requires a physics and neuroscience breakthrough that

0:41:18.320 --> 0:41:20.600
<v Speaker 2>will produce several Nobel prizes that we don't have yet.

0:41:20.960 --> 0:41:23.520
<v Speaker 3>But I do think that that is not one hundred

0:41:23.600 --> 0:41:24.000
<v Speaker 3>years away.

0:41:24.000 --> 0:41:26.440
<v Speaker 2>I think that there's really compelling threads of research that

0:41:26.440 --> 0:41:28.240
<v Speaker 2>are being pulled on that have the potential to produce

0:41:28.800 --> 0:41:31.920
<v Speaker 2>those equations. But even if we don't get those equations,

0:41:32.680 --> 0:41:35.040
<v Speaker 2>if you can build brain to brain connections, then you

0:41:35.360 --> 0:41:37.040
<v Speaker 2>don't need them, because you know that brains are good

0:41:37.160 --> 0:41:39.720
<v Speaker 2>enough and if you can assemble, if you can connect

0:41:39.760 --> 0:41:43.920
<v Speaker 2>them together, then that is another approach with some drawbacks and.

0:41:45.800 --> 0:41:48.680
<v Speaker 3>Some like big head starts.

0:41:48.880 --> 0:41:51.160
<v Speaker 1>Do you think people would volunteer to connect their brain

0:41:51.200 --> 0:41:53.440
<v Speaker 1>to someone else's I'm not sure. I'm not sure I

0:41:53.440 --> 0:41:54.840
<v Speaker 1>would enjoy connect with everything.

0:41:54.880 --> 0:41:55.160
<v Speaker 3>I don't know.

0:41:55.200 --> 0:41:57.680
<v Speaker 2>I mean, I don't think that this is for everybody. Also,

0:41:57.719 --> 0:41:59.440
<v Speaker 2>this is on a thing that exists today. I think

0:41:59.440 --> 0:42:03.759
<v Speaker 2>that this is a really interesting thing on the horizon

0:42:03.960 --> 0:42:06.040
<v Speaker 2>that is like enough to notice. So like, oh that, like,

0:42:06.120 --> 0:42:10.879
<v Speaker 2>if that's possible, what does that mean? But I think

0:42:10.920 --> 0:42:15.040
<v Speaker 2>it's tough to to I think really anticipate it too much.

0:42:15.080 --> 0:42:15.759
<v Speaker 3>Right now, you.

0:42:15.800 --> 0:42:17.759
<v Speaker 1>Onz wrote that one of the main goals in neuroscience

0:42:17.840 --> 0:42:20.480
<v Speaker 1>is to understand the physics of consciousness so that we

0:42:20.520 --> 0:42:23.560
<v Speaker 1>can engineer experience. So tell us what you mean by that.

0:42:23.800 --> 0:42:25.279
<v Speaker 2>Yeah, So to be clear, I don't think that's like

0:42:25.320 --> 0:42:26.960
<v Speaker 2>the only goal of neuroscience. I think there's lots people

0:42:27.000 --> 0:42:28.719
<v Speaker 2>working in neuroscience that are thinking about other stuff and

0:42:28.760 --> 0:42:33.000
<v Speaker 2>have never asked themselves those questions. But I think that,

0:42:33.120 --> 0:42:35.840
<v Speaker 2>I mean, arguably one of the kind of end goals

0:42:35.840 --> 0:42:41.279
<v Speaker 2>of technology is is recursion in the sense of we

0:42:43.239 --> 0:42:47.160
<v Speaker 2>gain the gain the ability to observe and manipulate kind

0:42:47.200 --> 0:42:53.840
<v Speaker 2>of our own existence, and we I think, like Earth

0:42:53.920 --> 0:42:56.560
<v Speaker 2>is small and intensely contested, and space is large, and

0:42:56.560 --> 0:43:00.560
<v Speaker 2>the speed of light is low, and there's like you

0:43:00.640 --> 0:43:03.520
<v Speaker 2>never run out of real estate, and like in the matrix,

0:43:04.520 --> 0:43:06.520
<v Speaker 2>and so getting to a point where we can we

0:43:06.600 --> 0:43:10.440
<v Speaker 2>really have we have control over our like the nature

0:43:10.480 --> 0:43:14.520
<v Speaker 2>of our experience feels like kind of a logical endpoint

0:43:14.520 --> 0:43:16.080
<v Speaker 2>of a lot of what we've seen over the last

0:43:16.160 --> 0:43:18.440
<v Speaker 2>like since the beginning of the technological revolution.

0:43:19.040 --> 0:43:22.359
<v Speaker 1>So, how is what you're doing with the biohybrid electrodes.

0:43:22.880 --> 0:43:25.279
<v Speaker 1>How will this get us closer to understanding something about

0:43:25.320 --> 0:43:27.160
<v Speaker 1>the physics of consciousness? Oh?

0:43:27.200 --> 0:43:29.440
<v Speaker 2>Well, I mean one thing, one thing that I think

0:43:29.520 --> 0:43:32.600
<v Speaker 2>is true about about consciousness is that there's a good

0:43:32.680 --> 0:43:35.279
<v Speaker 2>chance that to really know one will have to see

0:43:35.280 --> 0:43:37.360
<v Speaker 2>it for yourself. I think that the problem, one of

0:43:37.360 --> 0:43:39.200
<v Speaker 2>the problems that has made it so hard to study

0:43:39.800 --> 0:43:42.239
<v Speaker 2>is not it's not that it's magic or that there's

0:43:42.239 --> 0:43:46.120
<v Speaker 2>like some metaphysical thing that makes it inherently impossible, but

0:43:46.239 --> 0:43:48.799
<v Speaker 2>that there's no measurements that we can take that will

0:43:48.800 --> 0:43:50.960
<v Speaker 2>tell us things, because you can always if you believe

0:43:50.960 --> 0:43:54.520
<v Speaker 2>that intelligence and adaptive behavior is separate from phenomenal experience,

0:43:55.040 --> 0:43:57.360
<v Speaker 2>then if you run a behavioral experiment in an animal,

0:43:57.960 --> 0:44:00.520
<v Speaker 2>you can always see some explanation for what's happening without

0:44:00.520 --> 0:44:02.360
<v Speaker 2>resorting to saying anything about conciousness. And when we do

0:44:02.400 --> 0:44:05.520
<v Speaker 2>experiments in animals, we don't talk about what they see

0:44:05.640 --> 0:44:07.480
<v Speaker 2>or perceive. We say they can use the information or

0:44:07.480 --> 0:44:11.160
<v Speaker 2>they can learn the information. And so when you think

0:44:11.160 --> 0:44:13.520
<v Speaker 2>about what experiments can you really run that would allow

0:44:13.560 --> 0:44:18.120
<v Speaker 2>you to know if you've learned something this This often

0:44:18.120 --> 0:44:21.439
<v Speaker 2>looks like, can we add a new sensory mode? Can

0:44:21.480 --> 0:44:24.839
<v Speaker 2>we It's also pretty tough to imagine a sense that

0:44:25.280 --> 0:44:27.400
<v Speaker 2>you don't have, because again evolution is very good at

0:44:27.440 --> 0:44:29.680
<v Speaker 2>its job and it's really fit filled this available time

0:44:29.680 --> 0:44:31.719
<v Speaker 2>and space. But for example, it's sense that you don't have.

0:44:32.280 --> 0:44:35.200
<v Speaker 2>Is a true vector sense, So the ability to see

0:44:35.520 --> 0:44:37.920
<v Speaker 2>a field, like a three D field out in the environment,

0:44:38.000 --> 0:44:39.440
<v Speaker 2>and we don't have this because you don't have the

0:44:39.480 --> 0:44:40.600
<v Speaker 2>sense organs to do this.

0:44:40.640 --> 0:44:42.680
<v Speaker 3>We don't make measurements out of a distance. We only get

0:44:42.719 --> 0:44:43.799
<v Speaker 3>measurements that arrive to you.

0:44:44.239 --> 0:44:46.319
<v Speaker 2>If we had some way to get this signal, say

0:44:46.320 --> 0:44:48.600
<v Speaker 2>from remote sensors or other things, then you could get

0:44:48.640 --> 0:44:51.320
<v Speaker 2>the information. So what would a true vector sense feel

0:44:51.360 --> 0:44:53.880
<v Speaker 2>like to experience? And so at the point where we

0:44:53.960 --> 0:44:58.360
<v Speaker 2>can implement that and make and then make that available

0:44:58.480 --> 0:44:59.920
<v Speaker 2>to you, and then way that you see it, you're

0:45:00.000 --> 0:45:03.200
<v Speaker 2>I guess this was this was a new information, and

0:45:03.239 --> 0:45:05.880
<v Speaker 2>I'm experiencing it directly and I can use it intuitively,

0:45:05.960 --> 0:45:06.880
<v Speaker 2>and there's no other way.

0:45:06.719 --> 0:45:07.719
<v Speaker 3>I could have experienced this.

0:45:08.120 --> 0:45:09.520
<v Speaker 2>I think that is like the type of proof of

0:45:09.560 --> 0:45:13.600
<v Speaker 2>concept for knowing that you've gotten some of that model.

0:45:14.000 --> 0:45:15.719
<v Speaker 2>And I think that this isn't I don't think that

0:45:15.760 --> 0:45:17.400
<v Speaker 2>you can do this with conventional electrodes. I think that

0:45:17.440 --> 0:45:19.520
<v Speaker 2>you need something like a biohybrid neural interface to get

0:45:19.560 --> 0:45:23.359
<v Speaker 2>to that level. Why when you electrically stimulate vision into

0:45:23.360 --> 0:45:25.040
<v Speaker 2>the brain. So let's say that you put an electrode

0:45:25.080 --> 0:45:28.759
<v Speaker 2>in primary visual cortex. If you inject charge through this,

0:45:28.960 --> 0:45:30.920
<v Speaker 2>you can absolutely get a flash of light somewhere in

0:45:30.920 --> 0:45:32.760
<v Speaker 2>the visual field. And if you do this in an animal,

0:45:32.800 --> 0:45:34.040
<v Speaker 2>you can get them to look to the way you

0:45:34.040 --> 0:45:36.080
<v Speaker 2>put the flash of light, and so you can say, okay,

0:45:36.120 --> 0:45:38.720
<v Speaker 2>I got some visual signal into the brain. The problem

0:45:38.760 --> 0:45:41.359
<v Speaker 2>is that these flashes of light, these are known as phosphenes.

0:45:41.960 --> 0:45:44.240
<v Speaker 2>And what a phosphine really is is when you stimulate

0:45:44.280 --> 0:45:48.200
<v Speaker 2>lots of neurons simultaneously, you average them together. And so

0:45:48.280 --> 0:45:50.840
<v Speaker 2>if you have a neuron that represents like red and

0:45:50.880 --> 0:45:53.000
<v Speaker 2>some part of the visual field, next to something that

0:45:53.080 --> 0:45:57.360
<v Speaker 2>represents like a spatial frequency, next to something that represents

0:45:57.440 --> 0:46:01.000
<v Speaker 2>like emotion, like an orientation emotion, and you drive all

0:46:01.000 --> 0:46:04.919
<v Speaker 2>of these simultaneously, you kind of average them. Basically nothing

0:46:04.960 --> 0:46:07.560
<v Speaker 2>that the only information that's remaining is is i thing

0:46:07.600 --> 0:46:09.400
<v Speaker 2>called writing a topic, which is where in the visual

0:46:09.400 --> 0:46:11.920
<v Speaker 2>field was it? And if you do that, then you're limited.

0:46:12.160 --> 0:46:15.239
<v Speaker 2>You throw away almost all of the information that you

0:46:15.280 --> 0:46:18.719
<v Speaker 2>could have conveyed. And when you do this, also, like

0:46:18.760 --> 0:46:21.800
<v Speaker 2>this very continuous stimulation tends to produce the most intense

0:46:21.960 --> 0:46:25.320
<v Speaker 2>immune responses to electrodes that you get. And so these

0:46:25.920 --> 0:46:29.719
<v Speaker 2>these writing electrodes tend to be very encapsulated. And so

0:46:29.800 --> 0:46:32.000
<v Speaker 2>you want something that gives you access to hundreds of

0:46:32.000 --> 0:46:37.120
<v Speaker 2>thousands or millions of neurons and the at single cell

0:46:37.200 --> 0:46:42.560
<v Speaker 2>informational resolution in ways that will the brain will really

0:46:43.120 --> 0:46:48.160
<v Speaker 2>adapt to informationally, and electrodes don't get that type of

0:46:48.239 --> 0:46:51.040
<v Speaker 2>specific stimulation, certainly not at the hundreds and nobody's ever

0:46:51.120 --> 0:46:55.680
<v Speaker 2>done something like one hundred thousand electrodes for stimulation. And

0:46:56.560 --> 0:46:59.520
<v Speaker 2>there's the other technique, optogenetics, where you do this with

0:46:59.520 --> 0:47:00.920
<v Speaker 2>an optic stimulator.

0:47:00.920 --> 0:47:02.919
<v Speaker 3>This requires genetically modifying the host brain.

0:47:02.960 --> 0:47:06.000
<v Speaker 2>You have to use a gene therapy to deliver this

0:47:06.040 --> 0:47:09.279
<v Speaker 2>new protein to the cells of the brain. This is

0:47:09.320 --> 0:47:11.680
<v Speaker 2>not a thing that is really done in humans and cortex,

0:47:11.719 --> 0:47:13.440
<v Speaker 2>and there's reasons that that is that it's going to

0:47:13.480 --> 0:47:16.080
<v Speaker 2>be really difficult, and so there isn't I don't as

0:47:16.120 --> 0:47:18.560
<v Speaker 2>from where I said, I don't see another technology that

0:47:18.600 --> 0:47:22.320
<v Speaker 2>is really capable of getting hundreds of thousands or millions

0:47:22.360 --> 0:47:24.560
<v Speaker 2>of neurons at single cell resolution in a way that

0:47:24.640 --> 0:47:26.799
<v Speaker 2>is long term stable, in a way that allows those

0:47:26.800 --> 0:47:30.400
<v Speaker 2>neurons to learn the signal that you're trying to give them.

0:47:30.440 --> 0:47:32.759
<v Speaker 1>What philosophical questions keep you up at night?

0:47:34.400 --> 0:47:38.279
<v Speaker 2>So there's a question that whenever I go to like

0:47:38.320 --> 0:47:40.560
<v Speaker 2>things where I see my friends, there's a question that

0:47:40.600 --> 0:47:43.680
<v Speaker 2>splits the table evenly every time, which is is a

0:47:43.760 --> 0:47:48.439
<v Speaker 2>destructively scanned upload you? So these expanded you with think

0:47:49.280 --> 0:47:50.759
<v Speaker 2>side of things that my friends and I call the

0:47:50.760 --> 0:47:54.759
<v Speaker 2>transporter problems. And in some sense they're very simple, which

0:47:54.800 --> 0:47:58.000
<v Speaker 2>is like if you have if you take like a

0:47:58.040 --> 0:47:59.879
<v Speaker 2>scan of a brain, but at the end the brain

0:47:59.920 --> 0:48:02.759
<v Speaker 2>is no more, and then you can use this to

0:48:02.760 --> 0:48:07.160
<v Speaker 2>build a perfectly biophysically accurate like atomic simulation of that person.

0:48:07.760 --> 0:48:09.800
<v Speaker 2>Does this make you feel better about dying of cancer?

0:48:10.520 --> 0:48:11.960
<v Speaker 2>And for me, the answer to that is no. And

0:48:12.000 --> 0:48:14.920
<v Speaker 2>I think many people and faced actually with that situation,

0:48:15.000 --> 0:48:16.319
<v Speaker 2>would conclude no.

0:48:17.120 --> 0:48:20.160
<v Speaker 1>This is no as in you feel you will have

0:48:20.239 --> 0:48:22.920
<v Speaker 1>died if you got destroyed, yet there was a replica

0:48:22.960 --> 0:48:24.560
<v Speaker 1>of you that got booted up a second later.

0:48:25.280 --> 0:48:25.960
<v Speaker 3>Yeah, exactly.

0:48:26.000 --> 0:48:28.440
<v Speaker 2>This is like I'll be survived by my friends, which

0:48:28.880 --> 0:48:31.040
<v Speaker 2>is great, but doesn't necessarily make me feel a lot

0:48:31.120 --> 0:48:32.640
<v Speaker 2>better about my specific situation.

0:48:32.920 --> 0:48:35.719
<v Speaker 1>Right. In other words, the replica that gets booted up

0:48:35.760 --> 0:48:38.279
<v Speaker 1>a second later thinks, wow, I'm max. It was just

0:48:38.320 --> 0:48:40.280
<v Speaker 1>over there and now I'm over here. But the question

0:48:40.320 --> 0:48:41.759
<v Speaker 1>is do you get any benefit from that?

0:48:41.920 --> 0:48:42.240
<v Speaker 3>Exactly?

0:48:42.320 --> 0:48:45.560
<v Speaker 2>And so from its perspective, it's probably right. And I

0:48:45.560 --> 0:48:48.000
<v Speaker 2>think that people respond to this while saying like, well,

0:48:48.000 --> 0:48:49.840
<v Speaker 2>every night you lose consciousness, you wake up in the

0:48:49.880 --> 0:48:52.239
<v Speaker 2>next morning, you've broken some continuity there, which I think

0:48:52.320 --> 0:48:55.200
<v Speaker 2>is like also totally fair. That's like also not that's true,

0:48:55.400 --> 0:48:57.759
<v Speaker 2>but still doesn't really make me feel better. And so

0:48:57.800 --> 0:49:03.560
<v Speaker 2>the two camps here are my agency living on in

0:49:03.600 --> 0:49:06.920
<v Speaker 2>the world, which can be done through some other, some model,

0:49:07.000 --> 0:49:08.920
<v Speaker 2>some replication of me that makes me feel like my

0:49:08.920 --> 0:49:12.520
<v Speaker 2>influence will persist, versus I will accept drift in the

0:49:12.560 --> 0:49:14.759
<v Speaker 2>personality in the agency as long as I get continuity.

0:49:15.640 --> 0:49:20.000
<v Speaker 2>And so that's like the brain to brain connection there

0:49:20.120 --> 0:49:22.440
<v Speaker 2>is like you'll get significant personality drift because you're kind

0:49:22.440 --> 0:49:26.600
<v Speaker 2>of averaging together to people to some degree, but you

0:49:26.640 --> 0:49:34.160
<v Speaker 2>get continuity or is this living on an agency without continuity?

0:49:34.680 --> 0:49:35.239
<v Speaker 3>Is that good?

0:49:35.520 --> 0:49:39.440
<v Speaker 2>And what's interesting is people's brains seem to make a

0:49:39.520 --> 0:49:41.560
<v Speaker 2>choice on this early in their life and they are

0:49:41.600 --> 0:49:44.319
<v Speaker 2>unable to see the other one. They're very convinced that

0:49:44.360 --> 0:49:46.640
<v Speaker 2>this is like one of these two things is nonsensical.

0:49:47.320 --> 0:49:49.279
<v Speaker 2>And so my read on this is that this is

0:49:49.320 --> 0:49:52.239
<v Speaker 2>a there's a choice of metaphysics that's being made here

0:49:52.840 --> 0:49:55.000
<v Speaker 2>and from which you reason. So this is a kind

0:49:55.000 --> 0:49:57.040
<v Speaker 2>of a choice that your brain has made that allows

0:49:57.080 --> 0:49:59.919
<v Speaker 2>you to see something and then from there you start reason.

0:50:00.239 --> 0:50:02.120
<v Speaker 2>And so you can't like really talk your way through this,

0:50:02.200 --> 0:50:03.720
<v Speaker 2>But I think these are kind of the two tribes

0:50:03.760 --> 0:50:08.759
<v Speaker 2>that like metaphysical tribes here, And my guess is that

0:50:08.840 --> 0:50:11.200
<v Speaker 2>kind of people get converted to continuity when faced when

0:50:11.200 --> 0:50:13.680
<v Speaker 2>it becomes like a real thing. But that's the that's

0:50:13.680 --> 0:50:16.000
<v Speaker 2>a philosophical question for which I don't know there's a

0:50:16.080 --> 0:50:18.080
<v Speaker 2>right answer that keeps debate going.

0:50:18.680 --> 0:50:21.320
<v Speaker 1>And do you feel any differently about the problem if

0:50:21.800 --> 0:50:25.840
<v Speaker 1>you were degraded into your atoms and then those atoms

0:50:25.880 --> 0:50:29.880
<v Speaker 1>were beamed over somewhere and then reconstructed, But it's still you.

0:50:29.880 --> 0:50:31.880
<v Speaker 1>You're degraded and you're rebuilt up. Does that make a

0:50:31.880 --> 0:50:32.400
<v Speaker 1>difference for you?

0:50:32.600 --> 0:50:32.799
<v Speaker 3>Yeah?

0:50:32.800 --> 0:50:35.280
<v Speaker 2>I mean, so this is this is the second transporter problem.

0:50:35.400 --> 0:50:37.239
<v Speaker 2>Is if you send the atoms, does this make it better?

0:50:37.520 --> 0:50:39.719
<v Speaker 2>And I think really the thing that I don't know?

0:50:39.800 --> 0:50:42.239
<v Speaker 2>I mean, I think so. There's a show that I

0:50:42.280 --> 0:50:44.880
<v Speaker 2>love that recently came to Netflix, was really hard to

0:50:44.880 --> 0:50:46.040
<v Speaker 2>watch for a while called Pantheon.

0:50:46.520 --> 0:50:47.560
<v Speaker 3>Highly highly recommended.

0:50:47.560 --> 0:50:49.640
<v Speaker 2>I think Pantheon is probably the best depiction of how

0:50:49.680 --> 0:50:51.640
<v Speaker 2>I think the next like fifteen years might go that

0:50:51.680 --> 0:50:52.520
<v Speaker 2>I've ever seen in fiction.

0:50:54.400 --> 0:50:55.320
<v Speaker 3>It's adult animation.

0:50:55.880 --> 0:50:57.919
<v Speaker 2>It's by that it's based on a series of short

0:50:57.960 --> 0:51:00.560
<v Speaker 2>stories by Ken Lew who is probably best known as

0:51:00.600 --> 0:51:03.600
<v Speaker 2>the English language translator for the Three Body Problem series.

0:51:04.440 --> 0:51:08.040
<v Speaker 2>And that show is amazing but also terrible metaphysics. It's

0:51:08.080 --> 0:51:11.560
<v Speaker 2>a destructive upload, it's like, but the characters also realize this.

0:51:11.600 --> 0:51:13.719
<v Speaker 2>There's graffiti on a building at one point that says

0:51:13.760 --> 0:51:16.600
<v Speaker 2>like Dina live forever, which I don't find that compelling

0:51:16.600 --> 0:51:19.560
<v Speaker 2>of value proposition, but it's an interesting depiction of a

0:51:19.600 --> 0:51:21.560
<v Speaker 2>world where you kind of get to the other side

0:51:21.560 --> 0:51:24.439
<v Speaker 2>of that of that choice of metaphysics to the degree

0:51:24.440 --> 0:51:26.640
<v Speaker 2>that people aren't worrying about it anymore, and from the

0:51:26.800 --> 0:51:30.919
<v Speaker 2>backwards looking perspective it works out fine. And so that's

0:51:30.920 --> 0:51:34.680
<v Speaker 2>certainly one potential view there. The other is that what

0:51:34.760 --> 0:51:36.640
<v Speaker 2>if you really believe what matters is continuity, then what

0:51:36.640 --> 0:51:37.759
<v Speaker 2>you have to do is you kind of have to

0:51:37.800 --> 0:51:41.440
<v Speaker 2>get a seed brain on both sides of the transporter,

0:51:41.800 --> 0:51:45.160
<v Speaker 2>briefly establish brain to brain link to get the continuity

0:51:45.200 --> 0:51:47.919
<v Speaker 2>through it, and then that's enough. As long as there's

0:51:47.920 --> 0:51:52.359
<v Speaker 2>a brief moment of continuity, then that kind of gets

0:51:52.360 --> 0:51:53.920
<v Speaker 2>you through that philosophically.

0:51:54.239 --> 0:51:56.719
<v Speaker 1>Oh interesting, So this is where you might do your

0:51:56.880 --> 0:51:58.360
<v Speaker 1>four hemisphere trick.

0:51:58.400 --> 0:52:00.839
<v Speaker 2>Exactly, Well, yeah, I mean typically mean and that in

0:52:00.880 --> 0:52:03.560
<v Speaker 2>the case where it's really like an adom for adam reconstruction,

0:52:03.800 --> 0:52:07.200
<v Speaker 2>and the representations are already shared, then you wouldn't need

0:52:07.239 --> 0:52:10.399
<v Speaker 2>any time. If you did this with two people do

0:52:12.280 --> 0:52:14.280
<v Speaker 2>for that to really make sense, there'd be some time

0:52:14.320 --> 0:52:19.439
<v Speaker 2>to get representational like drift between them. It's funny because

0:52:19.440 --> 0:52:21.719
<v Speaker 2>if we talk about these things are interesting and are

0:52:21.800 --> 0:52:25.719
<v Speaker 2>genuinely becoming from the realm of science fiction where they

0:52:25.920 --> 0:52:27.319
<v Speaker 2>some of them still are today, and to the realm

0:52:27.320 --> 0:52:30.239
<v Speaker 2>of engineering, which not all of this is today, but

0:52:30.360 --> 0:52:33.600
<v Speaker 2>also only clear Like we don't at work, we don't

0:52:33.880 --> 0:52:35.440
<v Speaker 2>really spend a lot of time thinking about like the

0:52:35.440 --> 0:52:37.680
<v Speaker 2>future of humanity. It is mostly, as I often say,

0:52:37.719 --> 0:52:41.160
<v Speaker 2>debugging Linux drivers, yeah, and writing regulatory documentation.

0:52:42.320 --> 0:52:45.800
<v Speaker 1>So what drives you in your work?

0:52:46.400 --> 0:52:48.480
<v Speaker 2>I mean, look, if you really believe that these things

0:52:48.480 --> 0:52:51.960
<v Speaker 2>are possible within our lifetimes, I just like AI is

0:52:52.000 --> 0:52:54.800
<v Speaker 2>also very exciting. There are other exciting things happening.

0:52:54.440 --> 0:52:54.960
<v Speaker 3>In the world.

0:52:55.000 --> 0:52:57.480
<v Speaker 2>But when you really believe that these things could actually

0:52:57.520 --> 0:52:59.960
<v Speaker 2>be possible, I think it is tough to think about

0:53:00.040 --> 0:53:00.520
<v Speaker 2>a lot else.

0:53:05.200 --> 0:53:08.840
<v Speaker 1>That was Max Odak, founder and CEO of Science Corporation.

0:53:09.440 --> 0:53:11.680
<v Speaker 1>He's working on the challenge of how to read and

0:53:11.680 --> 0:53:14.719
<v Speaker 1>write from the brain, and really there are only a

0:53:14.760 --> 0:53:18.279
<v Speaker 1>handful of people who are doing that. With the smarts

0:53:18.360 --> 0:53:22.880
<v Speaker 1>and entrepreneurial bravery of Max, he and his team are

0:53:22.920 --> 0:53:25.640
<v Speaker 1>at the cutting edge of integrating with the brain, whether

0:53:25.760 --> 0:53:29.360
<v Speaker 1>that's by turning pixels into lasers and stimulating a tiny

0:53:29.400 --> 0:53:33.719
<v Speaker 1>implant in the back of the eye, or growing neurons

0:53:33.760 --> 0:53:38.200
<v Speaker 1>into the brain that ingratiate themselves into the network in

0:53:38.239 --> 0:53:41.200
<v Speaker 1>a way that you can spy on the activity there.

0:53:41.520 --> 0:53:43.400
<v Speaker 1>You can check out more about his company in the

0:53:43.400 --> 0:53:46.400
<v Speaker 1>show notes at Eagleman dot com, slash podcast, and Max's

0:53:46.440 --> 0:53:51.359
<v Speaker 1>website is science dot xyz. So let's wrap up at

0:53:51.400 --> 0:53:55.800
<v Speaker 1>its core, the idea of growing cells into the brain

0:53:56.080 --> 0:54:00.680
<v Speaker 1>as a brain computer interface. This challenges the comment intuition

0:54:00.880 --> 0:54:06.400
<v Speaker 1>of a division between biology and machinery, and more generally, however,

0:54:06.480 --> 0:54:10.760
<v Speaker 1>we make interfaces to the brain, these open the possibility

0:54:11.040 --> 0:54:14.000
<v Speaker 1>that we'll be able to someday not only interpret what

0:54:14.120 --> 0:54:17.080
<v Speaker 1>it is to be a human, but also enhance that

0:54:17.920 --> 0:54:21.000
<v Speaker 1>and that in the future, even things like our thoughts,

0:54:21.040 --> 0:54:26.480
<v Speaker 1>which seem unassailably private and ineffable. Things like thoughts might

0:54:26.560 --> 0:54:30.480
<v Speaker 1>soon traverse digital pathways the way any data flows through

0:54:30.520 --> 0:54:34.480
<v Speaker 1>a network. What does it mean when a thought leaves

0:54:34.520 --> 0:54:38.000
<v Speaker 1>the confines of the skull? The story of BCIs is

0:54:38.200 --> 0:54:41.320
<v Speaker 1>just beginning, and it's not just a story about the technology.

0:54:41.320 --> 0:54:44.920
<v Speaker 1>It's the story of a whole new channel of communication.

0:54:45.040 --> 0:54:49.040
<v Speaker 1>It's about translating the language of neurons into the language

0:54:49.080 --> 0:54:53.120
<v Speaker 1>of computers, or perhaps eventually into the brains of other people.

0:54:53.640 --> 0:54:56.880
<v Speaker 1>It's about giving voice to the mute, it's about giving

0:54:56.960 --> 0:55:01.200
<v Speaker 1>movement to the paralyzed, and it's about giving wings to

0:55:01.239 --> 0:55:04.880
<v Speaker 1>our imagination. So The work by Max and others in

0:55:04.920 --> 0:55:09.719
<v Speaker 1>the BCI space invites us to consider whether our brains

0:55:10.080 --> 0:55:15.040
<v Speaker 1>have to always remain isolated entities, or whether they can

0:55:15.080 --> 0:55:19.640
<v Speaker 1>interface with a broader universe. This work reminds us that

0:55:19.680 --> 0:55:23.640
<v Speaker 1>the brain doesn't always have to be merely an imprisoned

0:55:23.760 --> 0:55:28.600
<v Speaker 1>container for thought, but instead a living, dynamic interface with

0:55:28.680 --> 0:55:31.960
<v Speaker 1>the world, one that's going to soon enough, maybe in

0:55:32.000 --> 0:55:37.880
<v Speaker 1>our lifetimes, reach far beyond the biological limits to which

0:55:37.920 --> 0:55:45.960
<v Speaker 1>we have become accustomed. Go to Eagleman dot com slash

0:55:46.000 --> 0:55:49.879
<v Speaker 1>podcast for more information and to find further reading. Send

0:55:49.920 --> 0:55:52.799
<v Speaker 1>me an email at podcasts at eagleman dot com with

0:55:52.920 --> 0:55:56.239
<v Speaker 1>questions or discussion, and check out and subscribe to Inner

0:55:56.280 --> 0:55:59.400
<v Speaker 1>Cosmos on YouTube for videos of each episode and to

0:55:59.480 --> 0:56:03.399
<v Speaker 1>leave comma until next time. I'm David Eagleman, and this

0:56:03.560 --> 0:56:04.759
<v Speaker 1>is Inner Cosmos.