Mary Lou Jepsen: Could future devices read images from our brains?

79,109 views ・ 2014-03-03

TED


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00:12
I had brain surgery 18 years ago,
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and since that time, brain science has become
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a personal passion of mine.
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I'm actually an engineer.
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And first let me say, I recently joined
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Google's Moonshot group,
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where I had a division,
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the display division in Google X,
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and the brain science work I'm speaking about today
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is work I did before I joined Google
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and on the side outside of Google.
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So that said, there's a stigma
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when you have brain surgery.
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Are you still smart or not?
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And if not, can you make yourself smart again?
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After my neurosurgery,
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part of my brain was missing,
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and I had to deal with that.
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It wasn't the grey matter, but it was the gooey part dead center
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that makes key hormones and neurotransmitters.
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Immediately after my surgery,
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I had to decide what amounts of each of over
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a dozen powerful chemicals to take each day,
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because if I just took nothing,
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I would die within hours.
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Every day now for 18 years -- every single day --
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I've had to try to decide the combinations
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and mixtures of chemicals,
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and try to get them, to stay alive.
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There have been several close calls.
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But luckily, I'm an experimentalist at heart,
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so I decided I would experiment
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to try to find more optimal dosages
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because there really isn't a clear road map
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on this that's detailed.
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I began to try different mixtures,
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and I was blown away by how
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tiny changes in dosages
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dramatically changed my sense of self,
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my sense of who I was, my thinking,
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my behavior towards people.
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One particularly dramatic case:
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for a couple months I actually tried dosages
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and chemicals typical of a man in his early 20s,
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and I was blown away by how my thoughts changed.
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(Laughter)
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I was angry all the time,
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I thought about sex constantly,
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and I thought I was the smartest person
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in the entire world, and
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—(Laughter)—
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of course over the years I'd met guys kind of like that,
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or maybe kind of toned-down versions of that.
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I was kind of extreme.
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But to me, the surprise was,
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I wasn't trying to be arrogant.
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I was actually trying,
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with a little bit of insecurity,
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to actually fix a problem in front of me,
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and it just didn't come out that way.
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So I couldn't handle it.
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I changed my dosages.
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But that experience, I think, gave me
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a new appreciation for men
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and what they might walk through,
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and I've gotten along with men
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a lot better since then.
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What I was trying to do
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with tuning these hormones
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and neurotransmitters and so forth
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was to try to get my intelligence back
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after my illness and surgery,
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my creative thought, my idea flow.
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And I think mostly in images,
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and so for me that became a key metric --
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how to get these mental images
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that I use as a way of rapid prototyping,
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if you will, my ideas,
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trying on different new ideas for size,
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playing out scenarios.
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This kind of thinking isn't new.
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Philiosophers like Hume and Descartes and Hobbes
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saw things similarly.
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They thought that mental images and ideas
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were actually the same thing.
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There are those today that dispute that,
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and lots of debates about how the mind works,
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but for me it's simple:
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Mental images, for most of us,
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are central in inventive and creative thinking.
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So after several years,
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I tuned myself up and I have lots of great,
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really vivid mental images with a lot of sophistication
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and the analytical backbone behind them.
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And so now I'm working on,
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how can I get these mental images in my mind
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out to my computer screen faster?
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Can you imagine, if you will,
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a movie director being able to use
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her imagination alone to direct the world in front of her?
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Or a musician to get the music out of his head?
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There are incredible possibilities with this
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as a way for creative people
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to share at light speed.
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And the truth is, the remaining bottleneck
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in being able to do this
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is just upping the resolution of brain scan systems.
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So let me show you why I think we're pretty close to getting there
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by sharing with you two recent experiments
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from two top neuroscience groups.
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Both used fMRI technology --
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functional magnetic resonance imaging technology --
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to image the brain,
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and here is a brain scan set from Giorgio Ganis
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and his colleagues at Harvard.
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And the left-hand column shows a brain scan
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of a person looking at an image.
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The middle column shows the brainscan
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of that same individual
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imagining, seeing that same image.
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And the right column was created
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by subtracting the middle column from the left column,
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showing the difference to be nearly zero.
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This was repeated on lots of different individuals
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with lots of different images,
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always with a similar result.
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The difference between seeing an image
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and imagining seeing that same image
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is next to nothing.
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Next let me share with you one other experiment,
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this from Jack Gallant's lab at Cal Berkeley.
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They've been able to decode brainwaves
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into recognizable visual fields.
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So let me set this up for you.
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In this experiment, individuals were shown
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hundreds of hours of YouTube videos
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while scans were made of their brains
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to create a large library of their brain reacting
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to video sequences.
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Then a new movie was shown with new images,
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new people, new animals in it,
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and a new scan set was recorded.
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The computer, using brain scan data alone,
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decoded that new brain scan
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to show what it thought the individual was actually seeing.
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On the right-hand side, you see the computer's guess,
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and on the left-hand side, the presented clip.
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This is the jaw-dropper.
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We are so close to being able to do this.
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We just need to up the resolution.
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And now remember that when you see an image
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versus when you imagine that same image,
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it creates the same brain scan.
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So this was done with the highest-resolution
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brain scan systems available today,
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and their resolution has increased really
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about a thousandfold in the last several years.
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Next we need to increase the resolution
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another thousandfold
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to get a deeper glimpse.
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How do we do that?
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There's a lot of techniques in this approach.
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One way is to crack open your skull and put in electrodes.
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I'm not for that.
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There's a lot of new imaging techniques
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being proposed, some even by me,
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but given the recent success of MRI,
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first we need to ask the question,
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is it the end of the road with this technology?
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Conventional wisdom says the only way
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to get higher resolution is with bigger magnets,
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but at this point bigger magnets
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only offer incremental resolution improvements,
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not the thousandfold we need.
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I'm putting forward an idea:
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instead of bigger magnets,
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let's make better magnets.
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There's some new technology breakthroughs
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in nanoscience
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when applied to magnetic structures
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that have created a whole new class of magnets,
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and with these magnets, we can lay down
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very fine detailed magnetic field patterns
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throughout the brain,
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and using those, we can actually create
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holographic-like interference structures
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to get precision control over many patterns,
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as is shown here by shifting things.
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We can create much more complicated structures
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with slightly different arrangements,
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kind of like making Spirograph.
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So why does that matter?
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A lot of effort in MRI over the years
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has gone into making really big,
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really huge magnets, right?
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But yet most of the recent advances
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in resolution have actually come from
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ingeniously clever encoding and decoding solutions
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in the F.M. radio frequency transmitters and receivers
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in the MRI systems.
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Let's also, instead of a uniform magnetic field,
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put down structured magnetic patterns
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in addition to the F.M. radio frequencies.
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So by combining the magnetics patterns
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with the patterns in the F.M. radio frequencies
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processing which can massively increase
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the information that we can extract
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in a single scan.
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And on top of that, we can then layer
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our ever-growing knowledge of brain structure and memory
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to create a thousandfold increase that we need.
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And using fMRI, we should be able to measure
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not just oxygenated blood flow,
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but the hormones and neurotransmitters I've talked about
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and maybe even the direct neural activity,
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which is the dream.
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We're going to be able to dump our ideas
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directly to digital media.
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Could you imagine if we could leapfrog language
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and communicate directly with human thought?
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What would we be capable of then?
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And how will we learn to deal
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with the truths of unfiltered human thought?
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You think the Internet was big.
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These are huge questions.
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It might be irresistible as a tool
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to amplify our thinking and communication skills.
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And indeed, this very same tool
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may prove to lead to the cure
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for Alzheimer's and similar diseases.
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We have little option but to open this door.
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Regardless, pick a year --
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will it happen in five years or 15 years?
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It's hard to imagine it taking much longer.
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We need to learn how to take this step together.
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Thank you.
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(Applause)
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