TED2016

Moran Cerf: This scientist can hack your dreams

Filmed:
671,209 views

What if we could peek inside our brains and see our dreams -- or even shape them? Studying memory-specific brain cells, neuroscientist (and ex-hacker) Moran Cerf found that our sleeping brains retain some of the content we encounter when we're awake and that our dreams can influence our waking actions. Where could this lead us? "Neuroscientists are now giving us a new tool to control our dreams," Cerf says, "a new canvas that flickers to life when we fall asleep."

Double-click the English transcript below to play the video.

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So we spend a 12th of our life dreaming,
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and most of it is forgotten.
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What if we could peek inside our brain
and see our dreams,
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maybe even shape them?
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I am a neuroscientist, and I study
how thinking works inside the brain.
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But this story starts five years ago,
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when my work was about to be
published broadly,
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and one slip of a tongue
made me take a big turn.
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It was October 28th, and I woke up
because my phone was buzzing.
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I look at the phone and I see
that I have hundreds of missed calls.
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So I pick up the phone,
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and on the other line
is a producer from the BBC,
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and in a thick British accent,
he asks me about my work
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and specifically about my team's ability
to record people's dreams
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for the first time in history.
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Now, just to be clear, my work had nothing
to do with recording people's dreams.
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(Laughter)
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Apparently, he saw a short movie
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that I made to accompany the publication
that's about to come out,
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and I'm explaining the results there,
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but I want to end with something
that's like a TED-like uplifting message,
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so I ask one of my colleagues
to explain what the future may hold.
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And he says, "In the future,
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we'll be able to decode
people's intentions, people's memories,
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people's emotions --
and maybe even their dreams."
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And the camera fades out.
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So I explained to the producer
that we didn't actually do that.
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(Laughter)
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And he asks me,
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"But is it possible
to record people's dreams?"
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And I say, "In theory, it's possible."
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"Thank you, bye."
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(Laughter)
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Five minutes later, the headline on BBC:
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"Scientist claims
dream recording is possible."
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(Laughter)
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Within minutes, the entire world
picks up on this headline,
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and everyone speaks about my team's
ability to record people's dreams.
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(Laughter)
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It doesn't matter how much I explained
to everyone that this was impossible.
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The story now has a life of its own.
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(Laughter)
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So I call my dad, who is a journalist,
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and I ask him,
"Dad, how can I kill a story?"
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And he says, "No problem,
just turn off the phone.
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No one cares about science."
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So I turn off the phone --
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(Laughter)
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(Applause)
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and people start emailing me their dreams.
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(Laughter)
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A famous chef asks me if I can
open his brain and extract a recipe
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he's been dreaming of for a while.
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(Laughter)
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People ask me to look
into their spouse's dreams.
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Others, who finally have a proof
that the CIA is spying on them,
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want me to go and testify in Congress.
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Warner Brothers calls me.
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They want me to be the face
of the upcoming DVD release
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of the movie "Inception,"
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to show the science behind it.
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(Laughter)
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And a big computer company
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wanted to option
the "dream-recording machine,"
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because my device now has a name,
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it has specifications,
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it had Wikipedia pages
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and fans all over the world.
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(Laughter)
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To make things worse --
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(Laughter)
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my students had the idea
to go out to a Halloween party
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to forget about things,
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so I decided, in state
of a depreciative sense of humor,
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to dress up like Sigmund Freud.
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(Laughter)
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So now there is not only
just a story about me
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but also a nice visual to go with it,
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and I am deemed by the media now
the modern-day Freud.
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This story went on for a few weeks,
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until, fortunately, Prince William
proposed to his girlfriend,
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which was much more important,
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and I got to go back to my work.
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(Applause)
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Now, if you were interested
in studying dreams,
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I would recommend starting first
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by just looking at people's thoughts
when they are awake,
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and this is what I do.
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So I am indeed a neuroscientist,
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but I study the brain
in a very non-traditional way,
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partially inspired by my background.
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Before I became a neuroscientist,
I was a computer hacker.
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I used to break into banks
and government institutes
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to test their security.
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And I wanted to use the same
techniques that hackers use
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to look inside black boxes
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when I wanted to study the brain,
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looking from the inside out.
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Now, neuroscientists study the brain
in one of two typical methods.
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Some of them look at the brain
from the outside
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using imaging techniques like EEG or fMRI.
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And the problem there is that the signal
is very kind of blurry, coarse.
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So others look at the brain
from the inside,
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where they stick electrodes
inside the brain
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and listen to brain cells
speaking their own language.
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This is very precise,
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but this obviously can be done
only with animals.
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Now, if you were to peek inside the brain
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and listen to it speak,
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what you would see
is that it has this electrochemical signal
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that you can translate to sound,
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and this sound is
the common currency of the brain.
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It sounds something like this.
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(Clicking)
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So I wanted to use this in humans,
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but who would let you do that?
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Patients who undergo brain surgery.
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So I partner with neurosurgeons
across the globe
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who employ this unique procedure
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where they open the skull of patients,
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they stick electrodes in the brain
to find the source of the problem,
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and finding the source
can take days or sometimes weeks,
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so this gives us a unique opportunity
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to eavesdrop on the brains of patients
while they are awake and behaving
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and they have their skull open
with electrodes inside.
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So now that we do that, we want to find
what triggers those cells active,
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what makes them tick.
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So what we do is we run
studies like this one.
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This is Linda, one of our patients.
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She is sitting here
and watching those clips.
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(Video) ... can't even begin to imagine.
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(Singing)
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Morgan Cerf: What you hear is the sound
of one cell in her brain.
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Try to see if you can figure out
what it cares about.
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(Clicking)
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(Video) ... I have a dream that one day --
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(Clicking increases)
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The Simpsons.
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(Laughter)
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This is one cell out of a little network
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that's bound hand and fist
with the concept of The Simpsons
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in Linda's brain.
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Now, if you know what The Simpsons are,
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then you all have
similar cells in your brain
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that came to life right now
when you saw this image.
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Now, those cells are amazing.
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They're very precise.
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They don't fire for any cartoon character
or any yellow creature.
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(Laughter)
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They only fire when you think
of The Simpsons.
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They fire when you see
any picture of The Simpsons.
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Even if you hear the sound
of The Simpsons,
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or just read the text, "The Simpsons,"
these cells will fire.
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In fact, they fire
even if you close your eyes
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and just imagine The Simpsons
in your own head.
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We can remove the world,
and the show still goes on.
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And we know that because
we came back to Linda
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and asked her now,
without saying anything,
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to just close her eyes
and recall from her memory
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the things she has seen before,
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and what you see is that
as she remembers The Simpsons,
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the same cell fires.
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In fact, it fires seconds
before she speaks.
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(Clicking)
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(Video) The Simpsons.
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(Laughter)
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So we get to see her thoughts
coming to her.
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Now, this is remarkable,
because when I speak to you right now,
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I feel that everything that I have to say
comes out in real time.
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But now you can tell
that we're actually a little bit behind.
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My brain plans the next word.
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That's the slowest I could ever speak.
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(Laughter)
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So once we find such cells in her brain,
Bart Simpson, mom, dad,
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the Eiffel Tower, we can essentially
know what she's thinking,
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and then we can do all sorts of fancy
stuff that is based on those cells.
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For example, we can have her
think of her mom
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and just move a spaceship
on a computer screen
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with her thoughts alone.
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Or, if I can see her thoughts arising,
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I can actually do things
before she's conscious of it.
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So I can ask her to press a button,
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but beat her to it and turn
the lights on before she gets there.
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(Buzz)
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(Laughter)
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And it doesn't matter
how smart she is or how fast she is.
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I'm always going to be there earlier
because I'm inside her head.
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(Laughter)
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(Laughter)
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(Applause)
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And finally,
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if we can actually show your thoughts,
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we can just project them on a screen
in front of your eyes.
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And this is what we did five years ago.
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So naturally, when people saw
thoughts on a screen,
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they started imagining the possibility
of decoding dreams in the same way.
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Which we did not do.
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(Laughter)
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Until two years ago.
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(Laughter)
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When I got a call from the BBC again,
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and they asked me about dream recording,
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I told them, "You know,
we've been through it before."
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And they said, "No, we actually
want you to comment
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on the work of someone that just came out
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that shows that this can be done."
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So it turns out, three years
after I explained to everyone
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why this was only theoretically possible,
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a colleague of mine,
Professor Yukiyasu Kamitani from Japan,
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was inspired by it and did it.
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And that's when I decided
I want to do it myself.
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So I decided I'm going to dive
into dream research in two paths.
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The researcher in me said I'm going
to try to see if we can access them
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and show them,
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and the hacker in me said
I want to see if we can influence them
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and change people's behaviors.
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Looking into dreams
is really interesting, obviously,
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but it's also very helpful.
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And the reason is that we don't really
know what we're dreaming precisely
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if we just rely on what you tell us,
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because the language that you use
is unreliable for two reasons.
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One, they fade away when we wake up.
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And this is by design:
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this is our brain's way of making sure
we don't confuse them with real memories,
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so you don't think
you actually scored a touchdown
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and had dinner with Aaron Sorkin.
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And if you actually remember something,
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we only describe them in the vocabulary
that we have when we're awake.
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So blind people usually don't describe
their dreams visually,
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because sight isn't in their vocabulary.
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Or, if anyone here is in their 70s,
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it's very likely
that when you were younger,
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you described your dreams
in black and white.
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Only when people started seeing
movies in color
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did they think that dreams
should be in color too.
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So looking into dreams
is really interesting.
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It's allowing us to actually
get access to something that you forget.
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Imagine giving Einstein, Shakespeare
or Picasso access to the dreams
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they forget in the morning.
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We were very excited about it,
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and we said, let's try
to do it. But how?
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And then we had the idea:
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maybe the same neurons
that fire when you're awake
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survive even when you're sleeping.
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After all, it's the same brain.
It's us, awake or asleep.
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So my colleague Florian Mormann
had the idea to go to the patient
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and tell them a story that involved
the things that we find during the day.
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So Bart Simpson visits Paris,
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he goes to a Beatles concert
with Al Gore, and so on.
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Then he asks the patient
to memorize the story and go to sleep,
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and tells them, when you wake up,
I'll ask you to tell it again.
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And what he shows
is that when they're sleeping,
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the brain replays the same story
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using the same neurons
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in the same order, sequence and timing,
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as if you see the story in your mind,
and this is remarkable.
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Now we don't know
if the story that she sees
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is the same as the one that we decode.
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Maybe in her mind, Al Gore is holding
a balloon and Bart Simpson is blue.
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But something about the content
is preserved, and we can now decode it.
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And this is the first time
someone could show a dream
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in such precise accuracy in humans.
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So we were very excited.
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But we said, this is still people
with open brains, electrodes inside.
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Can we do it with everyone?
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And here, our colleagues from Japan
show us that the answer is yes.
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We can zoom out from the brain
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and actually bring people
and try to look at their dreams.
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Now, when you zoom out,
the resolution decreases,
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so instead of seeing
Bart Simpson and Al Gore,
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you will see maybe that it's a person
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or an object or some character,
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but something about
the content is preserved.
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And maybe we can look at it.
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So we brought people to the scanner
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and had them fall asleep,
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12:50
and fortunately, from my experience,
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12:52
people fall asleep in my studies
all the time.
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12:55
And while they are sleeping,
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12:56
the computer tries to guess
what they're dreaming
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12:59
using those high-level concepts.
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13:01
Is it a person? Is it a character?
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1679
13:03
And once the computer
is getting good in making a guess
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13:07
on what you're dreaming,
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1864
13:09
we wake you up
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1223
13:10
and we ask you to tell us the story.
285
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1800
13:12
And what we show is that the computer
is amazing in just learning over time
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4635
13:17
to guess your dream
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1183
13:18
and predict something about the gist
of the story that you saw in your mind.
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3761
13:23
So now we're pretty excited,
because we have a way to get there,
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3063
13:26
working both internally and externally.
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3137
13:30
So this gets us now to thinking
about the ability
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2960
13:33
to maybe also change things
when you are asleep.
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3436
13:37
To change things when you are asleep,
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1762
13:39
you have to know something
about the function of dreams.
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2666
13:42
And here neuroscientists are debating,
and the range of options is wide.
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3412
13:45
Some say the function of dreams
is to forget things, erase memories
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3253
13:48
or suppress thoughts,
297
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1150
13:50
whereas the others say that this is
our brain's way of simulating futures,
298
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4261
13:54
so you're kind of thinking about
dumping him and moving to Vancouver
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3529
13:57
or marrying him
and starting a family in Alabama.
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2567
14:00
You don't know the answer.
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1269
14:01
Your brain is going
to simulate both options
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2110
14:03
and give you something
to think about when you wake up.
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2785
14:06
But regardless of whichever
option you believe in,
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2714
14:09
what's common to all of them
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1391
14:10
is that during the night,
we think that this is our brain's way
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3004
14:13
of keeping ourselves up
and crafting answers to problems.
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5133
14:19
So we said that if we define
the right moment,
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4301
14:23
we can maybe change things in your dreams.
309
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2187
14:25
Now, this of course is quite spooky,
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1927
14:27
the idea that something
happens to me when I'm sleeping.
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2634
14:30
But we're going to show you
how we're using that.
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2797
14:33
So a colleague of mine
brought people to the lab
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2291
14:35
who are addicted smokers,
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1446
14:36
and she had them go to sleep.
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1633
14:39
And during the sleep, she sprayed
the smell of cigarettes into their nose.
316
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3916
14:42
And right after,
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1321
14:44
she sprayed the smell
of rotten eggs into their nose,
318
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2485
14:46
making their brain think
they don't like smoking.
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2483
14:50
And then she wakes them up.
320
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1302
14:51
They have no idea what happened,
321
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1894
14:53
but somehow their brain
creates this feeling.
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2251
14:56
So when they leave the lab,
for a few days after,
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2453
14:58
they feel less of an urge to smoke.
324
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2023
15:01
And then we said,
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1262
15:02
let's see if we can do the same thing
with people whose awake realities
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4145
15:06
haunt them when they are awake
327
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2055
15:08
and when they're sleeping,
328
896808
1683
15:10
like Nicholas.
329
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1554
15:12
He was discharged from the Army
after his service in Iraq
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3501
15:15
because he has post-traumatic stress.
331
903618
2332
15:18
His awake reality bothers him,
332
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2068
15:20
and he is unable to solve it.
333
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1708
15:22
So we got him into the lab
334
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1245
15:23
and had him to go sleep
for several nights.
335
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2512
15:26
And every night, we paired the sounds
that trigger the traumas
336
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6134
15:32
in his brain when he is awake,
337
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1626
15:33
and immediately after,
sprayed positive smells
338
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2580
15:36
to create some changes in his brain.
339
924420
2673
15:39
(Gunfire)
340
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1602
15:41
So we slowly, overnight,
341
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1231
15:43
used the fact that our brains
and our memories are not fixed.
342
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3554
15:46
They're malleable.
They change as we use them.
343
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2341
15:49
So we make his brain
remember something and override it,
344
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2658
15:51
remember, and override it in his dream.
345
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3449
15:55
And then when he wakes up,
he again has no idea what happened,
346
943309
2936
15:58
but suddenly he feels
less of this anxiety when he is up.
347
946269
3468
16:03
And this has been going on
for a few months now with Nicholas.
348
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4476
16:08
So we are pretty excited about that,
349
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1722
16:10
and now we're trying to see if there is
a way to help other people in the same way
350
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3873
16:14
by working with them
when they are awake in one way
351
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3444
16:17
and with the same brain
when they are asleep.
352
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2706
16:20
And we are thinking about
other ways to enhance experiences
353
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3919
16:24
using the opportunity
that your dream provides.
354
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2580
16:27
For example, what if we can teach you
things when you are asleep?
355
975218
3659
16:30
So you go to sleep
and you wake up knowing kung fu.
356
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3325
16:34
(Laughter)
357
982250
1007
16:35
Or two people sleep side by side,
and we can share dreams simultaneously.
358
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4365
16:40
Or just help you navigate your dream
to a specific location.
359
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3531
16:43
A lot of things in our life
are owed to dreams.
360
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2626
16:46
The periodic table. Hitchcock's movies.
361
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2873
16:49
What if we can help you focus your dreams
on something specific?
362
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3067
16:52
Or, I know there are a lot
of engineers here.
363
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2096
16:54
What if I can build a device
that helps guarantee
364
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2290
16:56
a positive sleep for everyone?
365
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1523
16:59
We are not there yet.
366
1007058
2849
17:01
But if there is one thing
I learned from the last five years,
367
1009931
2999
17:04
it is that saying that something
is impossible before you know it
368
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3196
17:08
is a mistake.
369
1016174
1208
17:10
Because science
isn't just about collecting facts,
370
1018319
2776
17:13
it's also about enabling promises,
hunches and even dreams.
371
1021119
5428
17:19
Neuroscientists are now giving us
a new tool to control our dreams,
372
1027523
3880
17:23
a new platform to create experiences on,
373
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2595
17:26
a new canvas that flickers to life
when we fall asleep.
374
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3126
17:29
So designers, perfumers,
musicians, filmmakers
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3427
17:32
can now use this
to create new experiences.
376
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2698
17:36
Because in the end,
377
1044385
2229
17:38
we are now able to, for the first time,
378
1046638
2818
17:41
help people change behavior
and understand ourselves better
379
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4587
17:46
by essentially teaching ourselves
to dream bigger.
380
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5111
17:51
Thank you.
381
1059971
1151
17:53
(Applause)
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6740

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