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[Music]
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I'm Jamal Khalili, a professor of
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theoretical physics, and I'm exploring
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how the most complex objects we know of
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in the universe, our brains, evolved.
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>> This is what your head looks like
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inside.
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[Music]
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In the last episode, we went from the
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first neurons to the early mammal brain.
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Wow.
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In this episode, I learn how life in the
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forests shape our brains
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[Music]
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and how our primate ancestors solve
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problems to survive.
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>> Look how quick.
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>> Oh my word.
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With my wife, I investigate how
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relationships made us intelligent.
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>> You're not a showoff like me, is that?
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>> No, I'm not a show off like you. Not
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many people are.
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>> It's a long
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>> and how our brains are wired to be
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social.
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>> The single best predictor of how long
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you're going to live into the future.
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It's simply the number and quality of
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close friendships.
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As we build artificial intelligence
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vying to overtake our brains,
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I want to find out what makes the thing
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in our skulls so special.
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This is my brain and this is its 600
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millionyear story.
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[Music]
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66 million years ago, the Earth lay in
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desolation and darkness. An asteroid
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smashed into the surface of the planet.
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Soot and ash and vaporized bedrock,
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dimming the sun. Perhaps threearters of
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all life on Earth was wiped out,
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including the gigantic dinosaurs which
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had ruled the world.
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But as the earth slowly recovered,
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forests returned and spread across the
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land.
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And with the dinosaurs gone, small
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creatures colonized this new habitat.
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Among them were our ancestors. Now,
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here's the mystery. How did they survive
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this catastrophe?
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>> Dr. Ornella Bertron studies the
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extremely limited evidence that survives
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from this dark period in the Earth's
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history.
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That is not an easy job. You've drawn
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the short straw when it comes to
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paleontology. Right.
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>> Definitely because it's very difficult.
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There's just not that many fossils. We
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find teeth. We find like a bit of bone
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sometimes. One group that I'm really
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interested in understanding is a group
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called plesiaforms. They were little
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like warm-blooded mammals.
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Plesiaforms resembled modern shrews.
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It's thought they used their sharp claws
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to cling onto the branches of trees in
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the primeval forest. They're the closest
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we found to the predecessors of all
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today's primates, including us.
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Orella studies their skulls, but she
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doesn't have many to work with.
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>> We really have like six good specimens
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so far.
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>> Six specimens
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>> in total these creatures.
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>> Yeah. Yeah. So that's that's very
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little, but we can learn so much just
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from those different skulls.
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Ornella has a 3D print of the skull of a
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specimen called Ignatius Grey Bullanis
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upscaled so we can see the details. By
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scanning the cavity inside the skull,
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she's been able to produce a cast of the
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missing brain.
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>> Tada. It's amazing, isn't it?
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>> Is incredible.
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>> It gave us like so much information
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about what actually those animals were
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able to do. And for example, these
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structures in front.
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>> I was just going to ask you there funny
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little knobbybly bits at the front.
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>> Yes, we still have those structure. The
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allactory bulbs in humans.
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>> They're old factory. Okay. So that's for
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smell the smell.
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>> Yeah. Yeah. Exactly.
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>> Plesiodapforms had very large smell
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processing systems.
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Orella believes they may have scavenged
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at dusk and at night when a strong sense
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of smell is very useful.
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I imagine them being like quietly moving
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among the branches. That's kind of yeah
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how I see them.
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>> For this documentary, I've had my brain
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scanned and I've been carrying around
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a a 3D printed version of my brain.
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>> Wow.
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>> Which is here, which I'm very proud of.
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>> I would be that's amazing.
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>> Which we can put alongside Ignatius. I'm
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not Look, I'm not boasting. There's been
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some evolution.
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>> So, just a little bit.
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I'm interested in a particular part of
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the brain, the neoortex.
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>> So here we have the neoortex of
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Ignatius. It's very small. It's actually
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just this part of the brain.
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>> In Ignatius, it covers about 20% of the
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top of the brain. That's very different
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in a human brain, isn't it?
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>> Very, very different. You can see like
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the neocortex in humans actually is
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covering the entire rest of the brain.
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This is amazing how big that it got in
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humans.
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A rudimentary neoortex helped early
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mammals analyze the world around them
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and respond to it. For humans, it's
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become the seat of advanced thinking,
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reasoning, and perception. But the
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mystery is why did our neoortex grow so
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large compared to any other mammal?
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There's a compelling theory and it's to
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do with climate change.
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About 56 million years ago, greenhouse
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gases released by volcanic activity
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caused sudden global warming of up to
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5ยฐ.
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It was the beginning of the Eosene era,
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a time of astonishing changes.
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In the hop house environment of the
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Eioene, dense rainforests spread around
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the world. They even reached high enough
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latitudes to be within what is today the
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Arctic Circle. And as with the
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rainforests of today, life proliferated.
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Just look at these extraordinary fossils
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found near Frankfurt in Germany, dating
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nearly 50 million years ago. They give
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us an incredible insight into the
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competition which raged in the forests
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of the early eosene.
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[Music]
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There were birds and agile tree dwelling
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rodents. There were highly dangerous
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predators, too. All of this meant fierce
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competition for food and resources. And
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with all these new predators around, it
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was much more dangerous, too. Only those
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creatures able to adapt would survive.
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[Music]
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In these changed circumstances, simply
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staying alive would take brains as well
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as brawn.
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[Music]
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As I'm very quickly finding out, a tree
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is a tricky place to call home. It's
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actually quite difficult moving around
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up here. It It doesn't just take
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physical strength. You need judgment.
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You need to decide whether a branch is
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strong enough to hold your weight,
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whether it's too wobbly. You need to
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plan a route through the trees.
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On top of the physical, the mental
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agility you need, coping with the
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incredibly complex visual field of a
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canopy of leaves poses yet more
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problems.
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While finding it really difficult
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peering through the leaves and twigs and
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branches, keeping an eye out for
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predators as well as foraging for food
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must have been a real challenge.
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In the face of these evolutionary
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pressures, a new kind of creature
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appears in the fossil record of the
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eosene.
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They're called crown primates, the
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forerunners of all today's primates,
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including, of course, us.
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[Music]
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Is this the way we sit?
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Like this? Early primates were well
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adapted to life in the trees.
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What's interesting is the way he's
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grasping the branch.
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[Music]
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During the eosene, primates evolved
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gripping hands and feet with nails.
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They're much more dextrous. They're able
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to hold on to this branch. It also means
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they can use these hands to find food,
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to forage, to manipulate objects much
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more easily.
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[Music]
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The other thing to notice is that they
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have eyes at the fronts of their heads,
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not on the side.
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Animals with eyes on the side of their
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heads have a wider field of view and can
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spot predators better.
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But eyes at the front help with what's
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ahead of you, judging the distance to
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the next branch or locating food.
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[Music]
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The effect of millions of years of tree
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dwelling is clear when we look at the
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fossil record. This is the brain cast of
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Ignatius, the plesapp we've already seen
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clambering around the forest in the
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years after the dinosaur extinction.
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And this is the brain cast of a primate
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called runa. It evolved around 20
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million years after Ignatius.
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With Ignatius, the neoortex covered 20%
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of its brain. With runa it now covers
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half its brain.
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[Music]
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The neoortex analyzes visual data
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[Music]
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and it has many other functions besides.
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It works in extraordinarily complex ways
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which we take for granted in our
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everyday lives.
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Take for instance what happens inside
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our brains when we do something as
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deceptively simple as reaching out and
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grabbing an apple. It's actually far
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more complicated than you might think.
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I'm getting an extraordinary insight
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into what's involved when we reach out
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and grab something.
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Dr. David Pitcher at the University of
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York has carried out a functional MRI
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which measures the way the blood flows
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in my brain.
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>> Okay, Jim, this is going to be an
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8-minute scan. while he plays me videos
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of reaching out and grasping an apple.
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>> My colleague Al is going to put this uh
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hello right on your head.
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>> Yeah, I think so.
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>> Then he uploads my results to this
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machine
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>> which uses spatial recognition
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technology to guide me around my own
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brain.
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>> Now where she points to with that um
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pointer, this is what your head looks
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like inside.
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Lovely death mask as well, isn't it?
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>> Yeah. Oh, I can rotate that for you as
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well, so we can see.
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>> My scan shows astonishing activity
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across my cerebral cortex as I watch the
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video.
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First, David shows me how my visual
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processing works. A complex system which
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really started to develop with those
278
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early primates.
279
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light hits your eyeball that's then
280
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converted into neuronal signaling. That
281
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information is then sent down the optic
282
00:12:27,760 --> 00:12:30,000
nerve all the way to primary visual
283
00:12:30,000 --> 00:12:32,480
cortex which in humans is right at the
284
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back of your head.
285
00:12:33,760 --> 00:12:36,560
>> As I was looking at the apple, my visual
286
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cortex connected with another part of my
287
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brain which helps us recognize objects.
288
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>> You see this pathway that lights up?
289
00:12:44,320 --> 00:12:45,760
This is the vententral object
290
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recognition pathway.
291
00:12:46,959 --> 00:12:49,680
>> And that pathway leads to the bit of the
292
00:12:49,680 --> 00:12:51,839
brain where I'm storing information of
293
00:12:51,839 --> 00:12:53,120
what apples look like.
294
00:12:53,120 --> 00:12:53,440
>> Yeah.
295
00:12:53,440 --> 00:12:54,959
>> The hard drive of my brain.
296
00:12:54,959 --> 00:12:57,120
>> That's where we store everything. Yeah.
297
00:12:57,120 --> 00:12:59,440
>> Then a second connection activates from
298
00:12:59,440 --> 00:13:01,440
the visual cortex at the back of the
299
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brain to the parietal lobe. The parietal
300
00:13:04,720 --> 00:13:06,959
lobe judges where things are in space
301
00:13:06,959 --> 00:13:08,880
around us and where our body is
302
00:13:08,880 --> 00:13:10,560
positioned.
303
00:13:10,560 --> 00:13:12,720
But to issue the orders to the body to
304
00:13:12,720 --> 00:13:14,720
move, you need a third part of the
305
00:13:14,720 --> 00:13:19,839
neoortex, the primary motor cortex.
306
00:13:19,839 --> 00:13:22,000
>> This is your motor cortex. And there's
307
00:13:22,000 --> 00:13:23,680
parts that control all the motor
308
00:13:23,680 --> 00:13:25,360
function in your body. And if a male
309
00:13:25,360 --> 00:13:27,040
moves the pen down the side of your
310
00:13:27,040 --> 00:13:28,880
head, we're sort of tracking through
311
00:13:28,880 --> 00:13:32,959
different parts of the motor cortex. And
312
00:13:32,959 --> 00:13:36,000
where we come to uh sort of roughly
313
00:13:36,000 --> 00:13:38,160
where Al is now, that's roughly where
314
00:13:38,160 --> 00:13:39,680
the hand area is. So that's the
315
00:13:39,680 --> 00:13:42,320
>> So different parts of the motor cortex
316
00:13:42,320 --> 00:13:45,839
physically relate to different parts of
317
00:13:45,839 --> 00:13:46,480
my body.
318
00:13:46,480 --> 00:13:47,680
>> Exactly.
319
00:13:47,680 --> 00:13:50,959
>> The visual, parietal, and motor cortex
320
00:13:50,959 --> 00:13:54,320
all developed in our primate ancestors.
321
00:13:54,320 --> 00:13:57,199
And a new area of the neoortex was also
322
00:13:57,199 --> 00:14:00,000
beginning to evolve. It would become the
323
00:14:00,000 --> 00:14:02,800
most sophisticated cognitive area of our
324
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brains.
325
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>> The other thing you have to do is be
326
00:14:05,920 --> 00:14:07,760
able to plan and control a motor
327
00:14:07,760 --> 00:14:10,000
actually. So for Mel brings the the
328
00:14:10,000 --> 00:14:12,240
pointer forward a little bit is the
329
00:14:12,240 --> 00:14:14,160
prefrontal cortex. It's where we do all
330
00:14:14,160 --> 00:14:15,760
our thinking. It's where cognitive
331
00:14:15,760 --> 00:14:17,680
control happens. The voice inside your
332
00:14:17,680 --> 00:14:20,480
head.
333
00:14:20,480 --> 00:14:23,040
So just picking up an apple means the
334
00:14:23,040 --> 00:14:26,480
visual cortex, the parietal lobe, the
335
00:14:26,480 --> 00:14:30,000
motor cortex, and the preffrontal cortex
336
00:14:30,000 --> 00:14:33,839
all have to work together.
337
00:14:33,839 --> 00:14:37,519
So four different parts of the brain are
338
00:14:37,519 --> 00:14:40,160
all involved in the simple action of
339
00:14:40,160 --> 00:14:42,399
reaching out picking up an apple. Visual
340
00:14:42,399 --> 00:14:45,519
cortex, parietal lobe, motor cortex,
341
00:14:45,519 --> 00:14:48,040
frontal cortex.
342
00:14:48,040 --> 00:14:50,240
[Music]
343
00:14:50,240 --> 00:14:52,880
From 40 million years ago, the creatures
344
00:14:52,880 --> 00:14:56,160
we now call monkeys were evolving.
345
00:14:56,160 --> 00:14:58,959
Their neoortex was becoming bigger and
346
00:14:58,959 --> 00:15:01,839
more complex in structure.
347
00:15:01,839 --> 00:15:04,079
In today's primates, the larger the
348
00:15:04,079 --> 00:15:06,560
brain, the denser and more closely
349
00:15:06,560 --> 00:15:09,040
packed the neurons, the more networks
350
00:15:09,040 --> 00:15:14,199
they develop, the clever they become.
351
00:15:15,120 --> 00:15:18,079
So, what were the driving factors which
352
00:15:18,079 --> 00:15:20,000
caused some primates to evolve
353
00:15:20,000 --> 00:15:22,880
differently from others? And why did
354
00:15:22,880 --> 00:15:25,920
humans evolve the most intelligence? One
355
00:15:25,920 --> 00:15:28,079
theory has to do with the ability to
356
00:15:28,079 --> 00:15:31,519
find the best, most calorific food. And
357
00:15:31,519 --> 00:15:33,279
it's something we can study by looking
358
00:15:33,279 --> 00:15:36,240
at two species of modern monkeys side by
359
00:15:36,240 --> 00:15:37,199
side.
360
00:15:37,199 --> 00:15:38,959
>> So this is the viewing deck. And here we
361
00:15:38,959 --> 00:15:41,040
can see both species, the capacins and
362
00:15:41,040 --> 00:15:44,519
the squirrel monkeys.
363
00:15:44,800 --> 00:15:46,800
There are relatives, but if we study
364
00:15:46,800 --> 00:15:48,720
enough of our primate relatives, we can
365
00:15:48,720 --> 00:15:52,240
start to make inferences about what our
366
00:15:52,240 --> 00:15:54,240
ancestors, our primate ancestors might
367
00:15:54,240 --> 00:15:56,160
have been like.
368
00:15:56,160 --> 00:15:58,399
>> This is the living link center at
369
00:15:58,399 --> 00:16:02,000
Edinburgh Zoo. Professor Amanda Seed
370
00:16:02,000 --> 00:16:04,800
studies these species side by side to
371
00:16:04,800 --> 00:16:07,279
try to understand the story of our own
372
00:16:07,279 --> 00:16:08,240
brains.
373
00:16:08,240 --> 00:16:10,160
>> The caper monkeys are our larger
374
00:16:10,160 --> 00:16:11,759
monkeys. They're more robust. They have
375
00:16:11,759 --> 00:16:14,720
this uh characteristic dark coloring on
376
00:16:14,720 --> 00:16:16,160
their head and the little tufts at the
377
00:16:16,160 --> 00:16:18,079
front. The squirrel monkeys, on the
378
00:16:18,079 --> 00:16:20,000
other hand, they're smaller. They're
379
00:16:20,000 --> 00:16:21,360
more slender. Look a little bit like
380
00:16:21,360 --> 00:16:23,279
they've been dipped in chocolate.
381
00:16:23,279 --> 00:16:25,680
Capacin monkeys and squirrel monkeys
382
00:16:25,680 --> 00:16:28,240
evolved together in the same place, the
383
00:16:28,240 --> 00:16:30,800
forests of the new world. And yet,
384
00:16:30,800 --> 00:16:33,920
capacins have a much larger neoortex
385
00:16:33,920 --> 00:16:37,120
compared to their body size and exhibit
386
00:16:37,120 --> 00:16:39,839
greater intelligence. The question is
387
00:16:39,839 --> 00:16:42,560
why? And what might that tell us about
388
00:16:42,560 --> 00:16:45,759
the evolution of our own brains? Amanda
389
00:16:45,759 --> 00:16:48,079
and her staff have devised a challenge
390
00:16:48,079 --> 00:16:49,839
these monkeys haven't encountered
391
00:16:49,839 --> 00:16:51,279
before.
392
00:16:51,279 --> 00:16:55,040
They've hidden food in papia mรขe boxes.
393
00:16:55,040 --> 00:16:57,600
The challenge is which species will
394
00:16:57,600 --> 00:16:59,839
figure out that there's food inside and
395
00:16:59,839 --> 00:17:03,480
manage to get it.
396
00:17:05,359 --> 00:17:06,160
>> Straight in.
397
00:17:06,160 --> 00:17:09,720
>> Thank you very much.
398
00:17:12,000 --> 00:17:14,079
>> Straight away the capachins have come
399
00:17:14,079 --> 00:17:16,400
out.
400
00:17:16,400 --> 00:17:18,559
They're very, very curious and their
401
00:17:18,559 --> 00:17:20,880
first thought is, "Can I break it? Is
402
00:17:20,880 --> 00:17:24,280
there food inside?"
403
00:17:25,760 --> 00:17:27,839
>> Meanwhile, the squirrel monkeys hang
404
00:17:27,839 --> 00:17:30,400
around on the sides, and not one of them
405
00:17:30,400 --> 00:17:33,679
looks inside a box. Instead, they wait
406
00:17:33,679 --> 00:17:36,480
for the capins to finish feasting, and
407
00:17:36,480 --> 00:17:40,799
they pick up scraps from their table.
408
00:17:40,799 --> 00:17:43,520
Amanda believes today's test has helped
409
00:17:43,520 --> 00:17:45,840
confirm a theory which links
410
00:17:45,840 --> 00:17:48,000
intelligence to diet.
411
00:17:48,000 --> 00:17:50,880
>> The capacins rely on fruit to a much
412
00:17:50,880 --> 00:17:52,559
greater extent than the squirrel
413
00:17:52,559 --> 00:17:54,240
monkeys. The squirrel monkeys eat fruit
414
00:17:54,240 --> 00:17:56,080
as well, but their diet is largely
415
00:17:56,080 --> 00:17:57,760
comprised of insects.
416
00:17:57,760 --> 00:17:59,760
>> The squirrel monkeys just have to wait
417
00:17:59,760 --> 00:18:02,640
for an insect to come along and grab it,
418
00:18:02,640 --> 00:18:05,919
and that happens a lot. But fruit only
419
00:18:05,919 --> 00:18:08,640
appears a few months every year. is
420
00:18:08,640 --> 00:18:11,200
found around the forest in patches in
421
00:18:11,200 --> 00:18:14,559
often hard to find places. So in order
422
00:18:14,559 --> 00:18:17,120
to find it, you have to remember and
423
00:18:17,120 --> 00:18:19,200
plan ahead.
424
00:18:19,200 --> 00:18:22,080
>> An ability to map your environment in
425
00:18:22,080 --> 00:18:24,720
space and even time to be able to
426
00:18:24,720 --> 00:18:26,559
predict when those resources are going
427
00:18:26,559 --> 00:18:29,280
to become available now becomes useful.
428
00:18:29,280 --> 00:18:30,880
And so now we have more selective
429
00:18:30,880 --> 00:18:33,520
pressure for areas of the brain that can
430
00:18:33,520 --> 00:18:35,039
deal with that. The penny is starting to
431
00:18:35,039 --> 00:18:36,720
drop for me now that it's not so much
432
00:18:36,720 --> 00:18:39,120
that they have larger brains, they're
433
00:18:39,120 --> 00:18:40,960
smarter, therefore they're able to
434
00:18:40,960 --> 00:18:43,120
figure out things like, you know, how to
435
00:18:43,120 --> 00:18:45,760
find food. The need to look for food has
436
00:18:45,760 --> 00:18:48,400
stimulated the growth of a larger brain
437
00:18:48,400 --> 00:18:49,520
over millions of years.
438
00:18:49,520 --> 00:18:52,080
>> Over millions of years.
439
00:18:52,080 --> 00:18:54,320
>> So it may be that at some point in our
440
00:18:54,320 --> 00:18:57,280
evolution, our ancestors were like the
441
00:18:57,280 --> 00:19:00,080
capacins. They concentrated more and
442
00:19:00,080 --> 00:19:03,440
more on fruit, high calorie fuel for
443
00:19:03,440 --> 00:19:06,000
growing brains. But it takes more
444
00:19:06,000 --> 00:19:09,679
intelligence to find.
445
00:19:09,679 --> 00:19:13,039
By 25 million years ago, the first apes
446
00:19:13,039 --> 00:19:16,000
were evolving. Ape brains are generally
447
00:19:16,000 --> 00:19:18,400
larger than monkeys, and they have more
448
00:19:18,400 --> 00:19:22,010
complex structures and networks.
449
00:19:22,010 --> 00:19:24,640
[Music]
450
00:19:24,640 --> 00:19:26,960
It's now thought that around this time
451
00:19:26,960 --> 00:19:29,760
our ancestors took their first baby
452
00:19:29,760 --> 00:19:32,559
steps towards one of our most important
453
00:19:32,559 --> 00:19:35,679
cognitive abilities, complex spoken
454
00:19:35,679 --> 00:19:38,679
language.
455
00:19:42,240 --> 00:19:44,080
I've come to see something very
456
00:19:44,080 --> 00:19:47,280
unexpected which might provide a vital
457
00:19:47,280 --> 00:19:50,280
clue.
458
00:19:50,400 --> 00:19:53,200
These gorillas live at Port Limb Safari
459
00:19:53,200 --> 00:19:55,440
Park in Kent.
460
00:19:55,440 --> 00:19:57,679
I'm with Professor Jillian Forester
461
00:19:57,679 --> 00:19:59,600
who's been studying the primates at this
462
00:19:59,600 --> 00:20:01,840
sanctuary for 20 years.
463
00:20:01,840 --> 00:20:05,039
>> I really like working here at Portland
464
00:20:05,039 --> 00:20:07,039
because it's it feels like more of a
465
00:20:07,039 --> 00:20:09,840
collaboration with the gorillas. Um we
466
00:20:09,840 --> 00:20:11,600
work together, but they're in an
467
00:20:11,600 --> 00:20:13,520
environment that really suits them. The
468
00:20:13,520 --> 00:20:15,679
enclosure was made for them, not for
469
00:20:15,679 --> 00:20:17,200
people to view them.
470
00:20:17,200 --> 00:20:20,080
>> Right.
471
00:20:21,280 --> 00:20:23,760
It's lunchtime and the gorillas have an
472
00:20:23,760 --> 00:20:26,990
unusual treat.
473
00:20:26,990 --> 00:20:29,600
[Music]
474
00:20:29,600 --> 00:20:34,760
Nettles, which they find very tasty.
475
00:20:35,200 --> 00:20:37,679
They found a clever strategy to deal
476
00:20:37,679 --> 00:20:40,810
with their stinging leaves.
477
00:20:40,810 --> 00:20:42,480
[Music]
478
00:20:42,480 --> 00:20:44,799
They strip the nettles off the stem in
479
00:20:44,799 --> 00:20:47,520
one direction, a direction which doesn't
480
00:20:47,520 --> 00:20:49,679
trigger the spines so they don't get
481
00:20:49,679 --> 00:20:51,520
stung.
482
00:20:51,520 --> 00:20:54,000
One gorilla decides to literally walk
483
00:20:54,000 --> 00:20:56,080
away with her spoils.
484
00:20:56,080 --> 00:20:57,200
>> Look at her go.
485
00:20:57,200 --> 00:20:59,200
>> Fantastic.
486
00:20:59,200 --> 00:21:01,280
>> We follow this gorilla to the inside
487
00:21:01,280 --> 00:21:04,799
area where we catch a glimpse of a more
488
00:21:04,799 --> 00:21:08,640
complex form of nettle preparation.
489
00:21:08,640 --> 00:21:11,360
rolling the leaves into a ball to crush
490
00:21:11,360 --> 00:21:13,679
the stinging spines.
491
00:21:13,679 --> 00:21:16,080
This method of preparing nettles has
492
00:21:16,080 --> 00:21:18,159
been recorded in many different gorilla
493
00:21:18,159 --> 00:21:21,159
groups.
494
00:21:24,720 --> 00:21:27,679
And you want me to try this, don't you?
495
00:21:27,679 --> 00:21:29,360
>> Okay. Right. Let's see how we go.
496
00:21:29,360 --> 00:21:30,960
>> Let's see.
497
00:21:30,960 --> 00:21:34,240
>> Ah, well, okay. There we go. I was so
498
00:21:34,240 --> 00:21:36,000
careful not to get stung, which I think
499
00:21:36,000 --> 00:21:37,760
I've survived that I've dropped the
500
00:21:37,760 --> 00:21:38,159
leaves.
501
00:21:38,159 --> 00:21:42,120
>> Dropped the leaves. Yeah. Yep.
502
00:21:42,480 --> 00:21:45,120
>> Not as delicate as you, but nearly
503
00:21:45,120 --> 00:21:47,600
there. I think it's interesting because
504
00:21:47,600 --> 00:21:50,720
eating the nettles requires the gorillas
505
00:21:50,720 --> 00:21:53,520
to take certain actions in order to not
506
00:21:53,520 --> 00:21:54,400
get stung.
507
00:21:54,400 --> 00:21:55,360
>> Okay,
508
00:21:55,360 --> 00:21:57,200
>> we could think of that as almost like
509
00:21:57,200 --> 00:22:00,159
what we'd call a syntax in language.
510
00:22:00,159 --> 00:22:03,200
When I speak, these are motor action
511
00:22:03,200 --> 00:22:06,000
sequences. So my mouth has to make the
512
00:22:06,000 --> 00:22:08,720
right words at the right time in order
513
00:22:08,720 --> 00:22:11,039
for you to understand what I'm saying.
514
00:22:11,039 --> 00:22:13,600
This is a syntax and language. And this
515
00:22:13,600 --> 00:22:17,600
is a syntax in its physical form.
516
00:22:17,600 --> 00:22:20,320
Jillian has created some puzzle boards
517
00:22:20,320 --> 00:22:22,880
which require an understanding of more
518
00:22:22,880 --> 00:22:24,960
complicated syntax than nettle
519
00:22:24,960 --> 00:22:28,000
stripping. The boards have a series of
520
00:22:28,000 --> 00:22:31,520
cogs. The question is, can Great apes
521
00:22:31,520 --> 00:22:33,840
turn them in the right direction, in the
522
00:22:33,840 --> 00:22:36,720
right order to solve the puzzles?
523
00:22:36,720 --> 00:22:38,159
>> Sorry, Jim, but you've got that the
524
00:22:38,159 --> 00:22:41,840
wrong way around. Oh,
525
00:22:41,840 --> 00:22:43,919
>> we're trying out her puzzle boards on
526
00:22:43,919 --> 00:22:46,799
two orangutang brothers. Malu and
527
00:22:46,799 --> 00:22:48,080
Haddie.
528
00:22:48,080 --> 00:22:51,879
>> Oh, here they are.
529
00:22:52,200 --> 00:22:54,960
[Music]
530
00:22:54,960 --> 00:22:55,280
>> Oh,
531
00:22:55,280 --> 00:22:56,480
>> yeah. Oh, they're right in there.
532
00:22:56,480 --> 00:22:57,919
Straight away,
533
00:22:57,919 --> 00:23:00,159
>> they've spotted the nuts, which Jillian
534
00:23:00,159 --> 00:23:03,360
has put at the top of the puzzle boards.
535
00:23:03,360 --> 00:23:05,200
But to get them out, they'll have to
536
00:23:05,200 --> 00:23:07,120
maneuver the nuts to the bottom of the
537
00:23:07,120 --> 00:23:09,039
board.
538
00:23:09,039 --> 00:23:11,840
On his board, Paddyy tries using a twig
539
00:23:11,840 --> 00:23:16,720
as a tool, but that's not going to work.
540
00:23:16,720 --> 00:23:19,039
Over on the other board, Maddu lands on
541
00:23:19,039 --> 00:23:21,039
the correct solution.
542
00:23:21,039 --> 00:23:22,320
>> Oh, look at that.
543
00:23:22,320 --> 00:23:25,120
>> Okay, that Mali has worked that out.
544
00:23:25,120 --> 00:23:26,000
Well, well done.
545
00:23:26,000 --> 00:23:28,320
>> Here we go.
546
00:23:28,320 --> 00:23:31,280
Mie's gotten to the second set of cogs
547
00:23:31,280 --> 00:23:33,760
and now he has Oh, look how quick
548
00:23:33,760 --> 00:23:36,640
>> Oh my word.
549
00:23:36,640 --> 00:23:39,200
>> I can't believe how fluid his movements
550
00:23:39,200 --> 00:23:42,200
are.
551
00:23:43,840 --> 00:23:45,760
>> He's getting to the last stage now. This
552
00:23:45,760 --> 00:23:47,360
is the double cog, the exciting bit.
553
00:23:47,360 --> 00:23:49,200
Will he think about Yes, he's thought
554
00:23:49,200 --> 00:23:51,039
about which way to turn it.
555
00:23:51,039 --> 00:23:51,520
>> Ah,
556
00:23:51,520 --> 00:23:54,080
>> he's gone to the access point. This
557
00:23:54,080 --> 00:23:57,960
could be the solution.
558
00:23:58,080 --> 00:23:59,840
Okay, he's been
559
00:23:59,840 --> 00:24:02,880
>> the last Oh, look at that stage. A big
560
00:24:02,880 --> 00:24:04,720
brother has taken over.
561
00:24:04,720 --> 00:24:07,840
>> Big brother's taken over and Pia's going
562
00:24:07,840 --> 00:24:11,240
to get the reward.
563
00:24:12,480 --> 00:24:14,559
>> But between them, they
564
00:24:14,559 --> 00:24:17,120
>> kind of Yes, it was a collaboration.
565
00:24:17,120 --> 00:24:20,400
>> Yeah. Jillian is convinced that our ape
566
00:24:20,400 --> 00:24:23,440
ancestors developed the ability to solve
567
00:24:23,440 --> 00:24:26,159
ever more complicated physical syntax
568
00:24:26,159 --> 00:24:29,600
problems and were unknowingly building
569
00:24:29,600 --> 00:24:32,480
the foundations of what would one day
570
00:24:32,480 --> 00:24:36,000
become language.
571
00:24:36,000 --> 00:24:38,720
Our ancestors split from orangutangs
572
00:24:38,720 --> 00:24:41,919
around 17 million years ago and from
573
00:24:41,919 --> 00:24:45,520
gorillas about 10 million years ago.
574
00:24:45,520 --> 00:24:48,240
Again, climate change was bringing new
575
00:24:48,240 --> 00:24:50,000
threats.
576
00:24:50,000 --> 00:24:53,279
Millions of years of slow global cooling
577
00:24:53,279 --> 00:24:55,440
meant that rainforests were retreating
578
00:24:55,440 --> 00:24:58,240
to be replaced by open grasslands and
579
00:24:58,240 --> 00:25:00,320
woodland.
580
00:25:00,320 --> 00:25:03,039
Competition for the most nutritious and
581
00:25:03,039 --> 00:25:05,679
calorific foods in the rainforest was
582
00:25:05,679 --> 00:25:08,880
becoming ever more intense. Life for our
583
00:25:08,880 --> 00:25:11,440
primate ancestors was getting harder and
584
00:25:11,440 --> 00:25:14,440
harder.
585
00:25:14,559 --> 00:25:17,039
Survival would now depend on making
586
00:25:17,039 --> 00:25:19,600
finely balanced judgments based on
587
00:25:19,600 --> 00:25:22,080
limited information about where to find
588
00:25:22,080 --> 00:25:24,880
food.
589
00:25:24,880 --> 00:25:26,960
To find out what mark climate change
590
00:25:26,960 --> 00:25:29,279
made on our brains, I'm visiting the
591
00:25:29,279 --> 00:25:32,000
chimpanzees who live at Bedongo Research
592
00:25:32,000 --> 00:25:34,880
Unit at Edinburgh Zoo. Along with
593
00:25:34,880 --> 00:25:37,600
bonobos, they're our closest primate
594
00:25:37,600 --> 00:25:39,279
relatives.
595
00:25:39,279 --> 00:25:41,120
I've been told I can play a game with
596
00:25:41,120 --> 00:25:43,679
them to test their cognitive powers.
597
00:25:43,679 --> 00:25:46,720
>> Not one of you said thank you yet.
598
00:25:46,720 --> 00:25:48,960
>> So, I head to the indoor part of their
599
00:25:48,960 --> 00:25:50,799
living quarters.
600
00:25:50,799 --> 00:25:53,039
When the chimps start making their
601
00:25:53,039 --> 00:25:58,039
noises, it is really loud in here.
602
00:25:58,880 --> 00:26:01,440
The chimpanzees have complete freedom to
603
00:26:01,440 --> 00:26:04,320
do as they like here, so I have to wait
604
00:26:04,320 --> 00:26:09,080
to see if one of them wants to join me.
605
00:26:09,350 --> 00:26:12,449
[Applause]
606
00:26:12,640 --> 00:26:15,039
Eventually, four-year-old Missindi
607
00:26:15,039 --> 00:26:17,200
decides she wants to play.
608
00:26:17,200 --> 00:26:17,919
>> Miss Cindy,
609
00:26:17,919 --> 00:26:21,200
>> look. To get the game started, I show
610
00:26:21,200 --> 00:26:23,279
her two empty cups.
611
00:26:23,279 --> 00:26:24,640
>> Nothing.
612
00:26:24,640 --> 00:26:28,159
>> Then I cover them with a screen and put
613
00:26:28,159 --> 00:26:29,840
a grape under one of them. Do
614
00:26:29,840 --> 00:26:31,840
>> you feel lucky?
615
00:26:31,840 --> 00:26:34,400
I'll put it under this one. Pretend to
616
00:26:34,400 --> 00:26:37,120
put it under this one. She doesn't know
617
00:26:37,120 --> 00:26:40,400
which cup has the grape, so she guesses
618
00:26:40,400 --> 00:26:41,679
the cup on the left.
619
00:26:41,679 --> 00:26:43,200
>> That one. Okay.
620
00:26:43,200 --> 00:26:45,760
>> But now I complicate things.
621
00:26:45,760 --> 00:26:47,600
>> I move this cup back.
622
00:26:47,600 --> 00:26:50,480
>> I remove the cup she doesn't want and
623
00:26:50,480 --> 00:26:53,919
offer her an alternative. A half grape.
624
00:26:53,919 --> 00:26:55,440
Now, what do you want?
625
00:26:55,440 --> 00:26:58,080
>> So, now she has a choice. Pick up a cup
626
00:26:58,080 --> 00:27:00,240
which may or may not have a grape under
627
00:27:00,240 --> 00:27:03,360
it or settle for a guaranteed half
628
00:27:03,360 --> 00:27:05,120
grape.
629
00:27:05,120 --> 00:27:08,960
This one. That one you want. Okay. Well,
630
00:27:08,960 --> 00:27:11,279
look. Look what you could have won, but
631
00:27:11,279 --> 00:27:13,840
unfortunately you have a half. She's
632
00:27:13,840 --> 00:27:16,400
chosen the half grape. It's a safe
633
00:27:16,400 --> 00:27:18,880
decision, but she's missed the chance of
634
00:27:18,880 --> 00:27:21,440
winning a full one.
635
00:27:21,440 --> 00:27:23,200
>> And that that's the choice they have to
636
00:27:23,200 --> 00:27:25,360
make whether they want half a grape for
637
00:27:25,360 --> 00:27:28,640
sure or a whole grape half of the time.
638
00:27:28,640 --> 00:27:31,200
>> We play the game again. And this time
639
00:27:31,200 --> 00:27:34,240
she sticks with the cup.
640
00:27:34,240 --> 00:27:36,080
You're going for it, are you? Are you
641
00:27:36,080 --> 00:27:38,240
confident?
642
00:27:38,240 --> 00:27:40,880
>> Clever. Of course, Miss Cindi is having
643
00:27:40,880 --> 00:27:43,039
to guess if the cup has a grape under
644
00:27:43,039 --> 00:27:46,000
it. But now, what happens if I give her
645
00:27:46,000 --> 00:27:49,600
more information to act on?
646
00:27:49,600 --> 00:27:52,640
I offer her two cups with one grape as
647
00:27:52,640 --> 00:27:55,600
usual. But this time, I show her that
648
00:27:55,600 --> 00:27:59,320
one of them is empty.
649
00:28:01,600 --> 00:28:03,360
Let's see. This is the This is going to
650
00:28:03,360 --> 00:28:05,919
be the clincher. What you going?
651
00:28:05,919 --> 00:28:09,520
Good girl. You Yes, you got it. Well
652
00:28:09,520 --> 00:28:12,159
done. She immediately realizes that the
653
00:28:12,159 --> 00:28:15,200
other cup must be hiding the grape. She
654
00:28:15,200 --> 00:28:16,880
knew there was definitely a grape under
655
00:28:16,880 --> 00:28:18,320
this one. So, choice between that and
656
00:28:18,320 --> 00:28:20,159
the half grape. She's sticking with the
657
00:28:20,159 --> 00:28:22,159
cup cuz she knows there's a grape under
658
00:28:22,159 --> 00:28:23,840
it.
659
00:28:23,840 --> 00:28:27,840
>> The chimps also play video games
660
00:28:27,840 --> 00:28:30,320
which simulate complicated foraging
661
00:28:30,320 --> 00:28:33,320
tasks.
662
00:28:33,360 --> 00:28:35,200
looking for hidden fruits scattered
663
00:28:35,200 --> 00:28:39,240
around a complex landscape.
664
00:28:41,360 --> 00:28:43,279
>> The game is helping investigate the
665
00:28:43,279 --> 00:28:45,760
theory that as the rainforests
666
00:28:45,760 --> 00:28:49,200
retreated, the need to find scarcer food
667
00:28:49,200 --> 00:28:52,159
required greater brain power, memory,
668
00:28:52,159 --> 00:28:55,880
and planning ahead.
669
00:28:58,399 --> 00:29:01,279
>> These games are posing a vital question.
670
00:29:01,279 --> 00:29:03,760
Are the chimps able to keep track of
671
00:29:03,760 --> 00:29:07,520
their own awareness of the world?
672
00:29:07,520 --> 00:29:12,320
>> What they know and what they don't know.
673
00:29:12,320 --> 00:29:14,640
The ability to keep track of what you
674
00:29:14,640 --> 00:29:17,679
know and don't know is a vital and
675
00:29:17,679 --> 00:29:20,640
mysterious part of human intelligence
676
00:29:20,640 --> 00:29:23,120
known as metacognition.
677
00:29:23,120 --> 00:29:24,640
It's something which particularly
678
00:29:24,640 --> 00:29:26,880
interests the head of the research unit,
679
00:29:26,880 --> 00:29:30,000
Professor Joseph Call. Metacognition is
680
00:29:30,000 --> 00:29:33,360
the ability to monitor and control your
681
00:29:33,360 --> 00:29:36,880
own thought processes, your own mental
682
00:29:36,880 --> 00:29:38,880
content. There is a thing called in
683
00:29:38,880 --> 00:29:41,520
metacognition uh that is called the tip
684
00:29:41,520 --> 00:29:43,679
of the tongue phenomena. When somebody
685
00:29:43,679 --> 00:29:45,760
ask you a question and you say I cannot
686
00:29:45,760 --> 00:29:47,440
give you the answer but I know that I
687
00:29:47,440 --> 00:29:49,440
know this answer. I just
688
00:29:49,440 --> 00:29:50,159
>> all the time.
689
00:29:50,159 --> 00:29:52,240
>> Yes, there you go. So this is
690
00:29:52,240 --> 00:29:54,480
metacognition where even though you
691
00:29:54,480 --> 00:29:57,360
cannot produce the answer, you know that
692
00:29:57,360 --> 00:29:59,919
you you know the answer.
693
00:29:59,919 --> 00:30:02,080
>> One theory states that our ancestors
694
00:30:02,080 --> 00:30:04,720
developed metacognition as they solved
695
00:30:04,720 --> 00:30:07,440
problems posed by the environment such
696
00:30:07,440 --> 00:30:11,120
as finding fruit in changing landscapes.
697
00:30:11,120 --> 00:30:13,600
It's thought this led to what's known as
698
00:30:13,600 --> 00:30:16,000
theory of mind.
699
00:30:16,000 --> 00:30:18,799
The awareness not just of your own mind
700
00:30:18,799 --> 00:30:23,158
but others minds too.
701
00:30:23,600 --> 00:30:25,440
>> It's about knowing about your own
702
00:30:25,440 --> 00:30:28,480
processes but also uh imputing processes
703
00:30:28,480 --> 00:30:32,320
to others. What others can see, what
704
00:30:32,320 --> 00:30:35,200
others want, what others intend, what
705
00:30:35,200 --> 00:30:38,600
others believe.
706
00:30:40,080 --> 00:30:42,720
Thinking about others is a crucial step
707
00:30:42,720 --> 00:30:45,360
towards becoming the socially connected
708
00:30:45,360 --> 00:30:50,520
creatures which human beings are today.
709
00:30:52,000 --> 00:30:54,480
Our ancestors split from the lineage of
710
00:30:54,480 --> 00:30:57,679
chimpanzees around 6 to 8 million years
711
00:30:57,679 --> 00:31:01,360
ago. After that came a huge change in
712
00:31:01,360 --> 00:31:04,240
lifestyle, a change with astonishing
713
00:31:04,240 --> 00:31:06,240
consequences.
714
00:31:06,240 --> 00:31:09,120
No one knows exactly how, why, or when
715
00:31:09,120 --> 00:31:11,279
it happened. But at some point during
716
00:31:11,279 --> 00:31:13,760
the millions of years after our own
717
00:31:13,760 --> 00:31:16,240
lineage split from that of chimpanzees
718
00:31:16,240 --> 00:31:19,200
and bonobos, our ancestors left the
719
00:31:19,200 --> 00:31:22,240
forests to make a new life out on the
720
00:31:22,240 --> 00:31:25,200
open plains. They became bipedal,
721
00:31:25,200 --> 00:31:27,679
walking up on two legs, so better able
722
00:31:27,679 --> 00:31:30,080
to adapt to different terrains and
723
00:31:30,080 --> 00:31:32,080
environments.
724
00:31:32,080 --> 00:31:34,720
Between two and three million years ago,
725
00:31:34,720 --> 00:31:37,600
Homohabilis was evolving. The first
726
00:31:37,600 --> 00:31:40,799
human species,
727
00:31:40,799 --> 00:31:42,480
they were developing areas of the
728
00:31:42,480 --> 00:31:46,000
neoortex involved in planning, thinking,
729
00:31:46,000 --> 00:31:49,120
problem solving, and we start to see
730
00:31:49,120 --> 00:31:51,919
some astonishing results of improved
731
00:31:51,919 --> 00:31:55,039
brain power.
732
00:31:55,039 --> 00:31:57,679
Dr. Nada is an experimental
733
00:31:57,679 --> 00:32:00,399
archaeologist. She works at the ancient
734
00:32:00,399 --> 00:32:04,600
technology center in Dorset.
735
00:32:08,960 --> 00:32:10,720
I'm meeting up again with Jillian
736
00:32:10,720 --> 00:32:12,480
Forester.
737
00:32:12,480 --> 00:32:15,039
She and Neda have both investigated the
738
00:32:15,039 --> 00:32:18,159
fascinating links between tools and the
739
00:32:18,159 --> 00:32:20,159
story of our brain.
740
00:32:20,159 --> 00:32:22,000
>> So Jim, I'm really excited to introduce
741
00:32:22,000 --> 00:32:25,120
you to Nata. She works in this beautiful
742
00:32:25,120 --> 00:32:27,279
place and she actually teaches people
743
00:32:27,279 --> 00:32:29,679
how to make these ancient tool sets.
744
00:32:29,679 --> 00:32:32,080
>> Wow. Okay. Teach me.
745
00:32:32,080 --> 00:32:33,760
>> So, we'll just start with a brief
746
00:32:33,760 --> 00:32:36,159
history of some of the ancient types of
747
00:32:36,159 --> 00:32:37,519
stone tool that were made by our
748
00:32:37,519 --> 00:32:40,000
homminid ancestors. This is a core, a
749
00:32:40,000 --> 00:32:42,480
flint core where sharp pieces, as you
750
00:32:42,480 --> 00:32:43,760
can see down on the floor here, have
751
00:32:43,760 --> 00:32:45,519
been knocked off. And these sharp pieces
752
00:32:45,519 --> 00:32:48,080
were used as tools for cutting.
753
00:32:48,080 --> 00:32:50,799
I want to know how much brain power it
754
00:32:50,799 --> 00:32:53,519
takes to create the kind of tools which
755
00:32:53,519 --> 00:32:57,120
our ancestors made. So Netta sets me a
756
00:32:57,120 --> 00:33:00,080
task to make this halffinish handax
757
00:33:00,080 --> 00:33:03,080
thinner.
758
00:33:03,679 --> 00:33:06,880
>> So yeah, you can see that that's not
759
00:33:06,880 --> 00:33:07,840
coming off.
760
00:33:07,840 --> 00:33:08,880
>> It's not brute force.
761
00:33:08,880 --> 00:33:10,080
>> It's not just brute forced
762
00:33:10,080 --> 00:33:12,640
unfortunately.
763
00:33:12,640 --> 00:33:15,039
Breaking the hammerstone.
764
00:33:15,039 --> 00:33:16,640
Oh, so he's actually broken the
765
00:33:16,640 --> 00:33:18,880
hammerstone and not the actual flint,
766
00:33:18,880 --> 00:33:20,960
>> which is quite an achievement really.
767
00:33:20,960 --> 00:33:22,159
So,
768
00:33:22,159 --> 00:33:24,720
>> so as you can see, just hitting it as
769
00:33:24,720 --> 00:33:26,880
hard as you can directly on the spot
770
00:33:26,880 --> 00:33:27,840
which you want to remove
771
00:33:27,840 --> 00:33:28,559
>> is it working
772
00:33:28,559 --> 00:33:32,678
>> isn't the right approach.
773
00:33:32,880 --> 00:33:35,039
>> Making the flint break in the direction
774
00:33:35,039 --> 00:33:37,919
you want it to turns out to be extremely
775
00:33:37,919 --> 00:33:39,760
complicated.
776
00:33:39,760 --> 00:33:41,919
It might seem counterintuitive, but you
777
00:33:41,919 --> 00:33:44,240
actually have to hit it from this side
778
00:33:44,240 --> 00:33:46,399
to be able to thin it effectively.
779
00:33:46,399 --> 00:33:48,480
>> And before we do that, even we need to
780
00:33:48,480 --> 00:33:50,799
prepare a place for us to hit to take a
781
00:33:50,799 --> 00:33:52,960
piece which should travel down there and
782
00:33:52,960 --> 00:33:55,440
thin the flint. If I do it right, I just
783
00:33:55,440 --> 00:33:57,360
need to do a few more preparatory
784
00:33:57,360 --> 00:33:58,000
flakes.
785
00:33:58,000 --> 00:34:00,240
>> Only after a few minutes of careful
786
00:34:00,240 --> 00:34:03,360
preparation can she do this.
787
00:34:03,360 --> 00:34:05,840
>> I'm going to hit on the top. And that's
788
00:34:05,840 --> 00:34:07,600
taken a piece which hasn't traveled as
789
00:34:07,600 --> 00:34:09,040
far as I want, but
790
00:34:09,040 --> 00:34:11,520
>> is kind of isolated this spot a bit
791
00:34:11,520 --> 00:34:15,199
more. So made it stick out a bit more.
792
00:34:15,199 --> 00:34:16,639
>> A lot of times when people think of
793
00:34:16,639 --> 00:34:17,918
stone tools, they're thinking of cave
794
00:34:17,918 --> 00:34:19,679
men. They're thinking of mighty muscles,
795
00:34:19,679 --> 00:34:21,440
big hard hit. But it's also about
796
00:34:21,440 --> 00:34:23,440
planning and thinking ahead.
797
00:34:23,440 --> 00:34:25,440
>> Jillian believes this supports the
798
00:34:25,440 --> 00:34:27,599
theory that our ancestors were using
799
00:34:27,599 --> 00:34:30,159
cognitive abilities which had developed
800
00:34:30,159 --> 00:34:33,280
millions of years beforehand. As we've
801
00:34:33,280 --> 00:34:36,239
seen, our shared primate ancestors had
802
00:34:36,239 --> 00:34:38,800
likely already developed an ability to
803
00:34:38,800 --> 00:34:41,679
master syntactical problems.
804
00:34:41,679 --> 00:34:43,918
>> We've looked at nettle processing with
805
00:34:43,918 --> 00:34:46,159
the gorillas. We've looked at puzzle
806
00:34:46,159 --> 00:34:48,800
solving with orangutans. And now we're
807
00:34:48,800 --> 00:34:51,359
looking here at stone tool making. They
808
00:34:51,359 --> 00:34:53,280
might seem like very, very different
809
00:34:53,280 --> 00:34:55,918
kinds of behaviors on the surface, but
810
00:34:55,918 --> 00:34:58,560
they have a commonality.
811
00:34:58,560 --> 00:35:00,960
And that common point is that they
812
00:35:00,960 --> 00:35:03,520
require us to put actions in the right
813
00:35:03,520 --> 00:35:06,240
order. And that's not different from how
814
00:35:06,240 --> 00:35:09,280
we put words in the right order to make
815
00:35:09,280 --> 00:35:13,400
meaning out of a sentence.
816
00:35:14,720 --> 00:35:16,640
>> Jillian believes that during our
817
00:35:16,640 --> 00:35:19,520
evolution, carrying out problem-solving
818
00:35:19,520 --> 00:35:22,160
actions with our hands led to our
819
00:35:22,160 --> 00:35:26,759
ability to produce spoken language.
820
00:35:28,480 --> 00:35:30,560
She has intriguing evidence from brain
821
00:35:30,560 --> 00:35:33,760
scans which she explains to me using the
822
00:35:33,760 --> 00:35:36,720
3D model of my own brain.
823
00:35:36,720 --> 00:35:38,320
This is your brain as you will know.
824
00:35:38,320 --> 00:35:40,240
We've got the back of it here and the
825
00:35:40,240 --> 00:35:43,520
front of it here. And running right down
826
00:35:43,520 --> 00:35:46,560
the middle here is your motor cortex.
827
00:35:46,560 --> 00:35:48,320
This is telling your body to move
828
00:35:48,320 --> 00:35:50,880
effectively. The hand area and the mouth
829
00:35:50,880 --> 00:35:53,119
area, they're really quite close to one
830
00:35:53,119 --> 00:35:55,440
another. And just in front of that area
831
00:35:55,440 --> 00:35:57,680
here is a region that we call Broca's
832
00:35:57,680 --> 00:36:01,040
area or Broca's region. It's always been
833
00:36:01,040 --> 00:36:03,599
thought to be a language specific
834
00:36:03,599 --> 00:36:08,560
region. It is activated when we speak.
835
00:36:08,560 --> 00:36:10,480
But interestingly,
836
00:36:10,480 --> 00:36:14,160
it is also activated when a deaf signer
837
00:36:14,160 --> 00:36:16,480
signs their language. Doesn't seem to
838
00:36:16,480 --> 00:36:18,880
matter if you're vocalizing or
839
00:36:18,880 --> 00:36:22,640
gesturing. It likes syntax.
840
00:36:22,640 --> 00:36:25,119
Brocker's region is also activated when
841
00:36:25,119 --> 00:36:27,839
we carry out any sequential syntactic
842
00:36:27,839 --> 00:36:31,880
tasks with our hands
843
00:36:32,880 --> 00:36:34,960
as part of an investigation into the
844
00:36:34,960 --> 00:36:37,440
evolution of our brains. Nada
845
00:36:37,440 --> 00:36:40,240
co-authored a huge study of volunteers
846
00:36:40,240 --> 00:36:43,200
who did a 100 hours of training in stone
847
00:36:43,200 --> 00:36:45,920
napping. So one before they'd done any
848
00:36:45,920 --> 00:36:49,200
flintnapping and one after almost 100
849
00:36:49,200 --> 00:36:51,200
hours of flintnapping and we could see
850
00:36:51,200 --> 00:36:53,520
activations in Brocker's area and
851
00:36:53,520 --> 00:36:56,000
changes so developments in that area as
852
00:36:56,000 --> 00:36:56,480
well.
853
00:36:56,480 --> 00:36:58,079
>> It's fascinating is isn't it this
854
00:36:58,079 --> 00:37:01,440
connection between language vocalization
855
00:37:01,440 --> 00:37:03,839
and hand movements. I'm doing it now as
856
00:37:03,839 --> 00:37:06,240
I talk. there is a connection and it's
857
00:37:06,240 --> 00:37:07,599
the same part of the brain that's
858
00:37:07,599 --> 00:37:10,320
controlling different actions I do with
859
00:37:10,320 --> 00:37:13,440
my hands and the the the words that come
860
00:37:13,440 --> 00:37:14,560
out of my mouth.
861
00:37:14,560 --> 00:37:17,280
>> A lot of people's mouths will mimic what
862
00:37:17,280 --> 00:37:19,440
their fingers are doing. For example, if
863
00:37:19,440 --> 00:37:22,000
you were sewing and you had to thread a
864
00:37:22,000 --> 00:37:25,200
needle exactly exactly going to purse
865
00:37:25,200 --> 00:37:27,440
your lips when you've got a tight uh
866
00:37:27,440 --> 00:37:30,400
space and you're going to maybe open
867
00:37:30,400 --> 00:37:32,480
your lips more when you're grabbing
868
00:37:32,480 --> 00:37:35,920
larger objects. This could possibly date
869
00:37:35,920 --> 00:37:37,680
all the way back to just feeding
870
00:37:37,680 --> 00:37:39,359
behavior. If you're going to pick up
871
00:37:39,359 --> 00:37:40,560
something small,
872
00:37:40,560 --> 00:37:41,920
>> you put it in. If you're picking up
873
00:37:41,920 --> 00:37:43,839
something big, you need to open your
874
00:37:43,839 --> 00:37:45,760
mouth wider. We also have this
875
00:37:45,760 --> 00:37:48,240
evolutionary theory that we might have
876
00:37:48,240 --> 00:37:50,960
been first speaking with our hands
877
00:37:50,960 --> 00:37:54,240
before language moved to our mouths.
878
00:37:54,240 --> 00:37:56,160
Only a small portion of the way we
879
00:37:56,160 --> 00:37:57,680
communicate is actually through our
880
00:37:57,680 --> 00:38:00,079
vocalizations. We're still communicating
881
00:38:00,079 --> 00:38:02,400
a huge amount about what we think and
882
00:38:02,400 --> 00:38:04,720
feel and intend through our facial
883
00:38:04,720 --> 00:38:07,440
expressions, our body postures, and the
884
00:38:07,440 --> 00:38:09,200
way we move.
885
00:38:09,200 --> 00:38:11,520
>> So the theory is that carrying out
886
00:38:11,520 --> 00:38:14,480
complex tasks like tool making helped
887
00:38:14,480 --> 00:38:17,359
put in place the final bit of the brain
888
00:38:17,359 --> 00:38:21,640
which will be needed for language.
889
00:38:23,440 --> 00:38:25,920
Over the past 2 million years, our
890
00:38:25,920 --> 00:38:30,800
ancestors brains tripled in size,
891
00:38:30,800 --> 00:38:33,040
particularly in the advanced cognitive
892
00:38:33,040 --> 00:38:37,599
areas such as the preffrontal cortex.
893
00:38:37,599 --> 00:38:40,320
So why did this happen?
894
00:38:40,320 --> 00:38:43,119
One compelling theory lies in the large
895
00:38:43,119 --> 00:38:45,440
groups which hunter gatherer societies
896
00:38:45,440 --> 00:38:49,119
formed and which we've inherited today.
897
00:38:49,119 --> 00:38:52,000
It's known as the social brain theory
898
00:38:52,000 --> 00:38:54,000
and it's something I'm about to explore
899
00:38:54,000 --> 00:38:56,160
in a very personal way. I've been
900
00:38:56,160 --> 00:38:57,520
working on these documentaries now for
901
00:38:57,520 --> 00:38:59,359
nearly 20 years. I've worked with all
902
00:38:59,359 --> 00:39:01,680
sorts of people. This is the first time
903
00:39:01,680 --> 00:39:03,359
I'm working with someone I know very
904
00:39:03,359 --> 00:39:05,440
well, my wife Julie. We've been together
905
00:39:05,440 --> 00:39:08,320
for over 40 years. I was asked to bring
906
00:39:08,320 --> 00:39:12,079
along either a good friend or my wife.
907
00:39:12,079 --> 00:39:14,400
And uh I don't have any good friends.
908
00:39:14,400 --> 00:39:17,200
>> Yeah, not really. You weren't completely
909
00:39:17,200 --> 00:39:18,560
happy to come along.
910
00:39:18,560 --> 00:39:19,760
>> It's not my kind of thing.
911
00:39:19,760 --> 00:39:21,040
>> You're not a showoff like me, is that?
912
00:39:21,040 --> 00:39:22,560
>> No, I'm not a show off like you. Not
913
00:39:22,560 --> 00:39:24,000
many people are show off like you.
914
00:39:24,000 --> 00:39:25,839
>> But anyway, I hope you know what you're
915
00:39:25,839 --> 00:39:27,119
letting yourself in for this time.
916
00:39:27,119 --> 00:39:28,880
>> Not really, but I might finally get to
917
00:39:28,880 --> 00:39:30,320
find out what you do on these shoots.
918
00:39:30,320 --> 00:39:31,760
>> We'll stay friendly and see what
919
00:39:31,760 --> 00:39:32,320
happens.
920
00:39:32,320 --> 00:39:32,800
>> Okay.
921
00:39:32,800 --> 00:39:35,800
>> Okay.
922
00:39:36,160 --> 00:39:38,320
>> Julie and I have been offered an unusual
923
00:39:38,320 --> 00:39:41,040
opportunity. We've been invited to drop
924
00:39:41,040 --> 00:39:44,560
in on a major 5-year exploration of a
925
00:39:44,560 --> 00:39:46,960
unique aspect of the evolution of the
926
00:39:46,960 --> 00:39:48,880
human brain.
927
00:39:48,880 --> 00:39:50,640
Researchers from Nottingham Trent
928
00:39:50,640 --> 00:39:53,359
University have taken over an entire
929
00:39:53,359 --> 00:39:56,359
house.
930
00:39:57,920 --> 00:40:02,079
Cameras have been placed everywhere.
931
00:40:02,079 --> 00:40:04,640
And while we're here, every move will be
932
00:40:04,640 --> 00:40:07,119
filmed from different angles. And the
933
00:40:07,119 --> 00:40:09,440
footage will be analyzed by researchers
934
00:40:09,440 --> 00:40:12,000
hidden away in a different room.
935
00:40:12,000 --> 00:40:13,440
>> Are you ready to play a game together?
936
00:40:13,440 --> 00:40:14,160
>> Yeah.
937
00:40:14,160 --> 00:40:16,480
>> For months now, psychological and
938
00:40:16,480 --> 00:40:18,720
behavioral tests have been carried out
939
00:40:18,720 --> 00:40:22,400
here with 120 pairs of best friends or
940
00:40:22,400 --> 00:40:23,520
couples.
941
00:40:23,520 --> 00:40:25,200
>> The game that you're going to play is
942
00:40:25,200 --> 00:40:26,640
called Lost on the Moon.
943
00:40:26,640 --> 00:40:28,800
>> Lost on the Moon is a puzzle game.
944
00:40:28,800 --> 00:40:31,760
>> Do we need this? Well, we've been asked
945
00:40:31,760 --> 00:40:33,680
to put these items in order of
946
00:40:33,680 --> 00:40:36,079
importance to help us survive on the
947
00:40:36,079 --> 00:40:36,560
moon.
948
00:40:36,560 --> 00:40:38,560
>> Why would we need a box of matches?
949
00:40:38,560 --> 00:40:39,839
>> Because there's no atmosphere on the
950
00:40:39,839 --> 00:40:40,960
moon. Can't
951
00:40:40,960 --> 00:40:42,720
>> light a fire.
952
00:40:42,720 --> 00:40:44,720
>> I'm going to be hungry. I'm saying I'm
953
00:40:44,720 --> 00:40:47,040
going to feel peckish and thirsty.
954
00:40:47,040 --> 00:40:48,800
>> Yeah, but it's not just about you, Jim.
955
00:40:48,800 --> 00:40:50,560
>> Well, you're you'll probably what? A
956
00:40:50,560 --> 00:40:51,200
snack.
957
00:40:51,200 --> 00:40:51,920
>> What have you got?
958
00:40:51,920 --> 00:40:53,280
>> I've got the pistols.
959
00:40:53,280 --> 00:40:54,240
>> Oh, pistols.
960
00:40:54,240 --> 00:40:55,440
>> What we going to shoot
961
00:40:55,440 --> 00:40:57,680
>> you?
962
00:40:57,680 --> 00:40:58,880
Apparently, we're going to need the
963
00:40:58,880 --> 00:41:01,359
pistol because if we run out of food,
964
00:41:01,359 --> 00:41:02,720
Julie's going to get hungry and she's
965
00:41:02,720 --> 00:41:03,520
going to want to shoot me.
966
00:41:03,520 --> 00:41:04,800
>> I'm not going to want to shoot you
967
00:41:04,800 --> 00:41:06,000
because I might get hungry.
968
00:41:06,000 --> 00:41:06,960
>> Just cuz you want to shoot me because
969
00:41:06,960 --> 00:41:09,920
I'm getting on your nerves. Fine. As far
970
00:41:09,920 --> 00:41:11,520
as we're concerned, this is all about,
971
00:41:11,520 --> 00:41:13,440
you know, how can whether we can survive
972
00:41:13,440 --> 00:41:15,760
on the moon until we're rescued, but
973
00:41:15,760 --> 00:41:18,319
it's clearly about actually whether
974
00:41:18,319 --> 00:41:19,200
we're cooperating.
975
00:41:19,200 --> 00:41:20,079
>> We're quite good at that.
976
00:41:20,079 --> 00:41:22,160
>> It might not seem like it all the time,
977
00:41:22,160 --> 00:41:24,640
but we actually do manage to compromise
978
00:41:24,640 --> 00:41:26,160
and and cooperate. What do you mean
979
00:41:26,160 --> 00:41:27,119
doesn't seem like that?
980
00:41:27,119 --> 00:41:29,200
>> Well, it just
981
00:41:29,200 --> 00:41:31,599
>> Sorry, dear. While all this is
982
00:41:31,599 --> 00:41:34,079
happening, our facial expressions are
983
00:41:34,079 --> 00:41:36,240
being recorded and a team of
984
00:41:36,240 --> 00:41:38,720
evolutionary psychologists are analyzing
985
00:41:38,720 --> 00:41:41,839
our results. Then they call us for a
986
00:41:41,839 --> 00:41:43,359
meeting.
987
00:41:43,359 --> 00:41:45,200
So, we've been videoing you while you've
988
00:41:45,200 --> 00:41:47,680
been doing all of these tasks and we've
989
00:41:47,680 --> 00:41:50,000
been measuring your facial movement.
990
00:41:50,000 --> 00:41:52,240
Whether you furrow your brow, whether
991
00:41:52,240 --> 00:41:54,319
you raise your brow, whether you smile,
992
00:41:54,319 --> 00:41:56,079
whether you wrinkle your nose,
993
00:41:56,079 --> 00:41:58,000
>> if I look eyebrow raises,
994
00:41:58,000 --> 00:41:59,440
>> eyebrow raises.
995
00:41:59,440 --> 00:42:01,359
>> So, this gives us a huge amount of very
996
00:42:01,359 --> 00:42:03,680
detailed information of behavioral
997
00:42:03,680 --> 00:42:05,359
information that's happening during a
998
00:42:05,359 --> 00:42:09,119
normal conversation. Jim has a rate of
999
00:42:09,119 --> 00:42:12,000
approximately 127 muscle movements per
1000
00:42:12,000 --> 00:42:13,119
minute.
1001
00:42:13,119 --> 00:42:14,160
>> Is that good?
1002
00:42:14,160 --> 00:42:14,800
>> That's very high.
1003
00:42:14,800 --> 00:42:16,560
>> That's quite high. Yeah, the average is
1004
00:42:16,560 --> 00:42:18,640
about 100.
1005
00:42:18,640 --> 00:42:20,800
>> Julie had slightly less facial movements
1006
00:42:20,800 --> 00:42:23,040
than me, but it might be because she
1007
00:42:23,040 --> 00:42:24,960
tends to play her cards close to her
1008
00:42:24,960 --> 00:42:25,680
chest.
1009
00:42:25,680 --> 00:42:27,200
>> Might just be one of those really dead
1010
00:42:27,200 --> 00:42:29,200
pan people.
1011
00:42:29,200 --> 00:42:31,599
>> The poker face.
1012
00:42:31,599 --> 00:42:34,160
This project is investigating how much
1013
00:42:34,160 --> 00:42:36,880
we use our facial expressions to bond
1014
00:42:36,880 --> 00:42:39,359
with others, especially our nearest and
1015
00:42:39,359 --> 00:42:42,000
dearest, and comparing it with other
1016
00:42:42,000 --> 00:42:43,359
primates.
1017
00:42:43,359 --> 00:42:44,960
>> Many primates have facial expressions
1018
00:42:44,960 --> 00:42:47,520
that are similar to ours, but our faces
1019
00:42:47,520 --> 00:42:49,440
are the most expressive. And we think
1020
00:42:49,440 --> 00:42:52,480
this sort of complexity is is probably
1021
00:42:52,480 --> 00:42:54,800
really important to humans as a species
1022
00:42:54,800 --> 00:42:58,319
and how we manage these really
1023
00:42:58,319 --> 00:43:00,720
>> complex intense social interactions we
1024
00:43:00,720 --> 00:43:01,760
have with other people.
1025
00:43:01,760 --> 00:43:03,520
>> That's helped the evolution of our
1026
00:43:03,520 --> 00:43:05,119
brains. The fact that we are able to
1027
00:43:05,119 --> 00:43:06,880
communicate with facial expressions.
1028
00:43:06,880 --> 00:43:08,960
>> That's the basic idea behind the social
1029
00:43:08,960 --> 00:43:11,839
brain theory that what is difficult um
1030
00:43:11,839 --> 00:43:14,319
is the social stuff. So forming
1031
00:43:14,319 --> 00:43:16,160
relationships, understanding the signals
1032
00:43:16,160 --> 00:43:18,400
of others, understanding the
1033
00:43:18,400 --> 00:43:20,319
relationships between other individuals,
1034
00:43:20,319 --> 00:43:22,319
maintaining your own relationships,
1035
00:43:22,319 --> 00:43:24,480
that's the stuff that's difficult to do,
1036
00:43:24,480 --> 00:43:27,280
and that requires big brains.
1037
00:43:27,280 --> 00:43:29,839
>> Proponents of the social brain theory
1038
00:43:29,839 --> 00:43:32,160
believe there's a direct link between
1039
00:43:32,160 --> 00:43:34,720
the relative intelligence of primates
1040
00:43:34,720 --> 00:43:38,160
and the social groups they can sustain.
1041
00:43:38,160 --> 00:43:40,640
As our ancestors spread out across the
1042
00:43:40,640 --> 00:43:44,960
lands, they formed bigger social groups.
1043
00:43:44,960 --> 00:43:46,800
This helped keep them safe from
1044
00:43:46,800 --> 00:43:50,720
predators, but took more brain power.
1045
00:43:50,720 --> 00:43:52,720
Living in groups has costs, but it also
1046
00:43:52,720 --> 00:43:54,720
has lots of advantages in terms of
1047
00:43:54,720 --> 00:43:56,480
access to mates. You can monopolize
1048
00:43:56,480 --> 00:43:58,720
resources, and primates are very good at
1049
00:43:58,720 --> 00:44:00,400
living in groups. I think it's important
1050
00:44:00,400 --> 00:44:02,000
to think about humans and what we're
1051
00:44:02,000 --> 00:44:03,920
good at. And what we're good at is
1052
00:44:03,920 --> 00:44:07,359
intense social interaction.
1053
00:44:07,359 --> 00:44:09,760
For this program, we decided to conduct
1054
00:44:09,760 --> 00:44:11,760
a little test on the social brain
1055
00:44:11,760 --> 00:44:14,000
theory.
1056
00:44:14,000 --> 00:44:16,000
And what could be more appropriate than
1057
00:44:16,000 --> 00:44:19,150
a good old traditional British pub quiz?
1058
00:44:19,150 --> 00:44:20,560
[Music]
1059
00:44:20,560 --> 00:44:23,040
I've invited Professor Robin Dumbar to
1060
00:44:23,040 --> 00:44:23,760
take part.
1061
00:44:23,760 --> 00:44:26,160
>> What are we having? A whiskey, Jimmy,
1062
00:44:26,160 --> 00:44:26,720
whiskey?
1063
00:44:26,720 --> 00:44:28,160
>> It's a long evening.
1064
00:44:28,160 --> 00:44:30,000
>> He's the person who came up with the
1065
00:44:30,000 --> 00:44:32,560
social brain theory after years studying
1066
00:44:32,560 --> 00:44:35,560
primates.
1067
00:44:36,880 --> 00:44:39,680
I start with some easy questions. The
1068
00:44:39,680 --> 00:44:41,839
greatest science communicator of all
1069
00:44:41,839 --> 00:44:44,720
time is widely acknowledged to be A.
1070
00:44:44,720 --> 00:44:48,480
Carl Sean, B Neil Degrass Tyson, C.
1071
00:44:48,480 --> 00:44:53,480
Brian Cox, or D Jamal Khalili.
1072
00:44:53,680 --> 00:44:56,880
I set the questions. By the way,
1073
00:44:56,880 --> 00:45:00,079
according to the social brain theory,
1074
00:45:00,079 --> 00:45:02,160
what is the number of meaningful
1075
00:45:02,160 --> 00:45:04,240
friendships which the average human
1076
00:45:04,240 --> 00:45:09,000
being is capable of maintaining?
1077
00:45:12,560 --> 00:45:15,920
It's 150.
1078
00:45:15,920 --> 00:45:18,720
In fact, that's a very famous number,
1079
00:45:18,720 --> 00:45:22,598
the Dunbar number.
1080
00:45:22,760 --> 00:45:25,520
[Music]
1081
00:45:25,520 --> 00:45:28,079
The Dumbar number sets limits to the
1082
00:45:28,079 --> 00:45:30,160
number of friends and family we're
1083
00:45:30,160 --> 00:45:32,480
cognitively capable of having proper
1084
00:45:32,480 --> 00:45:35,119
relationships with. The Dumbar number
1085
00:45:35,119 --> 00:45:38,240
you have reflects the cognitive demands
1086
00:45:38,240 --> 00:45:41,920
of managing relationships.
1087
00:45:41,920 --> 00:45:44,560
In fact, it's a concentric circle of
1088
00:45:44,560 --> 00:45:46,960
numbers starting with your closest
1089
00:45:46,960 --> 00:45:49,680
circle of five people, the people you
1090
00:45:49,680 --> 00:45:51,920
think about most and feel most empathy
1091
00:45:51,920 --> 00:45:52,800
for.
1092
00:45:52,800 --> 00:45:57,760
>> The single best predictor of your mental
1093
00:45:57,760 --> 00:46:00,640
health uh and well-being, your physical
1094
00:46:00,640 --> 00:46:02,640
health and well-being, even how long
1095
00:46:02,640 --> 00:46:04,000
you're going to live into the future
1096
00:46:04,000 --> 00:46:06,560
from today. It's simply the number and
1097
00:46:06,560 --> 00:46:08,880
quality of close friendships.
1098
00:46:08,880 --> 00:46:11,839
An average of 50 people are good friends
1099
00:46:11,839 --> 00:46:14,800
and 150 is the average limit for
1100
00:46:14,800 --> 00:46:16,400
meaningful friendships.
1101
00:46:16,400 --> 00:46:18,400
>> Beyond the 150, there's a layer that
1102
00:46:18,400 --> 00:46:20,880
goes out to about 500 of acquaintances.
1103
00:46:20,880 --> 00:46:22,160
You may spend quite a lot of time
1104
00:46:22,160 --> 00:46:23,760
chatting them, but you probably not
1105
00:46:23,760 --> 00:46:25,680
going to invite them home.
1106
00:46:25,680 --> 00:46:28,400
>> Robin says many studies show this. From
1107
00:46:28,400 --> 00:46:31,359
the average size of a medieval village,
1108
00:46:31,359 --> 00:46:34,560
150, to a huge study about the number of
1109
00:46:34,560 --> 00:46:36,720
people we communicate with properly on
1110
00:46:36,720 --> 00:46:39,280
social media.
1111
00:46:39,280 --> 00:46:43,040
The average is 149.
1112
00:46:43,040 --> 00:46:44,960
I'm going to set our audience a
1113
00:46:44,960 --> 00:46:47,599
cognitive test which Robin believes
1114
00:46:47,599 --> 00:46:50,880
helps prove the social brain theory. See
1115
00:46:50,880 --> 00:46:54,640
if you can solve it yourself. Each card
1116
00:46:54,640 --> 00:46:57,760
has a number on one side and a color on
1117
00:46:57,760 --> 00:47:01,119
the other. If a card has an even number
1118
00:47:01,119 --> 00:47:03,280
on one side,
1119
00:47:03,280 --> 00:47:05,920
then on the other side it has to be
1120
00:47:05,920 --> 00:47:07,680
blue.
1121
00:47:07,680 --> 00:47:11,680
Which card or cards do you have to turn
1122
00:47:11,680 --> 00:47:15,280
over to find out if that statement is
1123
00:47:15,280 --> 00:47:17,920
true or not?
1124
00:47:17,920 --> 00:47:20,400
Now, if you find this difficult, don't
1125
00:47:20,400 --> 00:47:24,000
worry at all. Up to 90% of people can't
1126
00:47:24,000 --> 00:47:26,079
work it out.
1127
00:47:26,079 --> 00:47:29,520
>> I got it wrong.
1128
00:47:29,520 --> 00:47:31,599
>> It's because it's deliberately phrased
1129
00:47:31,599 --> 00:47:35,280
in a complicated and abstract way.
1130
00:47:35,280 --> 00:47:37,599
Here's the answer. To find out if that
1131
00:47:37,599 --> 00:47:39,839
statement is true, you'd have to turn
1132
00:47:39,839 --> 00:47:42,160
over two cards.
1133
00:47:42,160 --> 00:47:45,520
They are the number eight card and the
1134
00:47:45,520 --> 00:47:49,119
red card. How many people got that
1135
00:47:49,119 --> 00:47:52,000
right? Can I have a show of hands? Our
1136
00:47:52,000 --> 00:47:54,560
audience tonight did pretty well, but
1137
00:47:54,560 --> 00:47:58,000
the majority didn't get it.
1138
00:47:58,000 --> 00:48:01,839
>> Now, second test. Jane's going to put up
1139
00:48:01,839 --> 00:48:05,359
on one side the age of the person and on
1140
00:48:05,359 --> 00:48:08,640
the other side what they're drinking.
1141
00:48:08,640 --> 00:48:10,640
Beer
1142
00:48:10,640 --> 00:48:14,000
and lemonade.
1143
00:48:14,000 --> 00:48:17,200
Which card or cards do you have to turn
1144
00:48:17,200 --> 00:48:21,119
over to see if there are any underage
1145
00:48:21,119 --> 00:48:24,480
drinkers in your pub? This one just
1146
00:48:24,480 --> 00:48:27,119
feels so much easier.
1147
00:48:27,119 --> 00:48:29,280
To check if anyone is an underage
1148
00:48:29,280 --> 00:48:31,440
drinker, you just need to check the
1149
00:48:31,440 --> 00:48:34,480
16-year-old to see what they're drinking
1150
00:48:34,480 --> 00:48:37,119
and the beer drinker to see how old they
1151
00:48:37,119 --> 00:48:40,480
are. How many people got that right?
1152
00:48:40,480 --> 00:48:41,520
>> Yeah.
1153
00:48:41,520 --> 00:48:45,280
>> There you go. just about everyone. How
1154
00:48:45,280 --> 00:48:48,000
many people found the first test easier
1155
00:48:48,000 --> 00:48:51,960
than the second test?
1156
00:48:53,280 --> 00:48:57,280
No one. And that's the real point
1157
00:48:57,280 --> 00:49:00,319
because amazingly these two tests are
1158
00:49:00,319 --> 00:49:03,440
actually the same test of logic. The
1159
00:49:03,440 --> 00:49:06,720
beer is equivalent to the red and the
1160
00:49:06,720 --> 00:49:09,839
underage card, the 16, is equivalent to
1161
00:49:09,839 --> 00:49:13,200
the even card, the number eight. But we
1162
00:49:13,200 --> 00:49:15,760
humans nearly always find one much
1163
00:49:15,760 --> 00:49:17,839
harder than the other. Somehow phrasing
1164
00:49:17,839 --> 00:49:20,480
it in that way in terms of social
1165
00:49:20,480 --> 00:49:22,400
activities that we're familiar with in
1166
00:49:22,400 --> 00:49:24,559
everyday life
1167
00:49:24,559 --> 00:49:27,119
makes that logic test seem so much
1168
00:49:27,119 --> 00:49:30,160
easier. And yet, it's exactly the same.
1169
00:49:30,160 --> 00:49:32,880
The argument is that's because the brain
1170
00:49:32,880 --> 00:49:36,480
is attuned to constantly checking for
1171
00:49:36,480 --> 00:49:40,640
people who infringe on social rules.
1172
00:49:40,640 --> 00:49:43,839
So we didn't evolve as abstract logical
1173
00:49:43,839 --> 00:49:46,800
calculators. We evolved to work out each
1174
00:49:46,800 --> 00:49:49,920
other and to solve social problems and
1175
00:49:49,920 --> 00:49:52,640
police social rules such as spotting
1176
00:49:52,640 --> 00:49:54,970
underage drinkers.
1177
00:49:54,970 --> 00:49:57,920
[Music]
1178
00:49:57,920 --> 00:49:59,760
A rapidly developing field of
1179
00:49:59,760 --> 00:50:02,079
neuroscience is now making some
1180
00:50:02,079 --> 00:50:04,720
intriguing breakthroughs, revealing
1181
00:50:04,720 --> 00:50:07,520
where in our brains much of our social
1182
00:50:07,520 --> 00:50:11,480
processing takes place.
1183
00:50:11,760 --> 00:50:13,920
Professor Nancy Canwisher runs a
1184
00:50:13,920 --> 00:50:16,480
laboratory at MIT in Massachusetts.
1185
00:50:16,480 --> 00:50:18,319
>> This is a slice through the middle of
1186
00:50:18,319 --> 00:50:19,920
the brain here. So you see this is the
1187
00:50:19,920 --> 00:50:21,119
front of the head, that's the nose,
1188
00:50:21,119 --> 00:50:22,800
that's the back.
1189
00:50:22,800 --> 00:50:25,520
>> Thanks. She made a name for herself when
1190
00:50:25,520 --> 00:50:28,480
she tried to detect brain activity when
1191
00:50:28,480 --> 00:50:31,040
we look at each other.
1192
00:50:31,040 --> 00:50:32,800
>> Faces are one of the most important
1193
00:50:32,800 --> 00:50:34,640
kinds of visual stimula. They are the
1194
00:50:34,640 --> 00:50:36,319
first stimulus that an infant wants to
1195
00:50:36,319 --> 00:50:38,319
look at. And for social primates like
1196
00:50:38,319 --> 00:50:40,079
us, it's absolutely critical to be able
1197
00:50:40,079 --> 00:50:42,480
to perceive faces and all the rich
1198
00:50:42,480 --> 00:50:44,079
information they tell us about another
1199
00:50:44,079 --> 00:50:46,319
person. We popped people in the scanner,
1200
00:50:46,319 --> 00:50:48,559
me to start, uh, and I looked at
1201
00:50:48,559 --> 00:50:50,160
pictures of faces and pictures of
1202
00:50:50,160 --> 00:50:52,079
objects. And so the first time we did
1203
00:50:52,079 --> 00:50:53,599
this, I remember coming out of the
1204
00:50:53,599 --> 00:50:55,839
scanner and finding this little blob in
1205
00:50:55,839 --> 00:50:58,160
my brain and you could just see in the
1206
00:50:58,160 --> 00:50:59,760
time course of response in the
1207
00:50:59,760 --> 00:51:02,079
experiment a big peak during the times I
1208
00:51:02,079 --> 00:51:03,760
was looking at faces in these little
1209
00:51:03,760 --> 00:51:05,440
teeny bumps when I was looking at
1210
00:51:05,440 --> 00:51:07,839
objects and I just thought that's
1211
00:51:07,839 --> 00:51:10,559
amazing.
1212
00:51:10,559 --> 00:51:12,640
What Nancy had found is called the
1213
00:51:12,640 --> 00:51:16,240
fusififor face area a highly specialized
1214
00:51:16,240 --> 00:51:18,720
location in the brain.
1215
00:51:18,720 --> 00:51:21,280
So the fusform face area seems to be
1216
00:51:21,280 --> 00:51:23,520
involved both in detecting a face like
1217
00:51:23,520 --> 00:51:25,520
that thing I'm looking at that's a face
1218
00:51:25,520 --> 00:51:27,520
and in figuring out which face that is.
1219
00:51:27,520 --> 00:51:31,119
Is that Joe or Bob or Mary or Jay?
1220
00:51:31,119 --> 00:51:33,760
This is the scan of my own brain and
1221
00:51:33,760 --> 00:51:37,359
this is my fusififor face area
1222
00:51:37,359 --> 00:51:39,520
activated when I looked at videos of
1223
00:51:39,520 --> 00:51:42,520
faces.
1224
00:51:43,520 --> 00:51:45,599
Nancy and her colleagues have discovered
1225
00:51:45,599 --> 00:51:48,240
other specialized social areas of the
1226
00:51:48,240 --> 00:51:51,240
brain.
1227
00:51:51,440 --> 00:51:53,040
This network has recently been
1228
00:51:53,040 --> 00:51:55,440
discovered. It's called the dynamic
1229
00:51:55,440 --> 00:51:57,599
social pathway.
1230
00:51:57,599 --> 00:52:00,880
It helps us analyze and identify moving
1231
00:52:00,880 --> 00:52:03,680
people and faces, expressions, other
1232
00:52:03,680 --> 00:52:08,040
people's intentions and moods.
1233
00:52:08,720 --> 00:52:10,800
This area is activated when we look at
1234
00:52:10,800 --> 00:52:12,720
people's bodies.
1235
00:52:12,720 --> 00:52:15,200
We even have a spot of our brain called
1236
00:52:15,200 --> 00:52:18,640
the theory of mind area activated when
1237
00:52:18,640 --> 00:52:20,720
we think about what other people are
1238
00:52:20,720 --> 00:52:22,240
thinking.
1239
00:52:22,240 --> 00:52:24,240
>> You can think of all of this apparatus
1240
00:52:24,240 --> 00:52:27,280
as part of our social mind. This is how
1241
00:52:27,280 --> 00:52:29,680
we function in society. It's a very
1242
00:52:29,680 --> 00:52:31,520
tempting hypothesis to say, look, it
1243
00:52:31,520 --> 00:52:33,359
makes total sense for evolution to have
1244
00:52:33,359 --> 00:52:35,280
built this structure in us. We are
1245
00:52:35,280 --> 00:52:37,280
social primates. We care about each
1246
00:52:37,280 --> 00:52:39,599
other. We need to detect and recognize
1247
00:52:39,599 --> 00:52:42,079
each other to survive. And so it would
1248
00:52:42,079 --> 00:52:44,319
make sense for evolution to have crafted
1249
00:52:44,319 --> 00:52:46,880
a specialized face processing machine
1250
00:52:46,880 --> 00:52:49,200
and built it into a brain. But we have
1251
00:52:49,200 --> 00:52:51,520
to be careful.
1252
00:52:51,520 --> 00:52:53,680
>> This is still a fast developing field of
1253
00:52:53,680 --> 00:52:56,720
science. These social networks could
1254
00:52:56,720 --> 00:52:58,800
have developed in our infancy as we
1255
00:52:58,800 --> 00:53:02,240
became exposed to faces or they may be
1256
00:53:02,240 --> 00:53:05,839
part of our evolutionary inheritance.
1257
00:53:05,839 --> 00:53:07,839
What's known for sure is that our
1258
00:53:07,839 --> 00:53:10,319
ability to bond together as social
1259
00:53:10,319 --> 00:53:12,640
creatures starts very early.
1260
00:53:12,640 --> 00:53:14,160
>> I'm convinced he's already saying,
1261
00:53:14,160 --> 00:53:15,920
"Mama,
1262
00:53:15,920 --> 00:53:16,720
look at this."
1263
00:53:16,720 --> 00:53:19,280
>> Dr. Georgina Donati collaborates with
1264
00:53:19,280 --> 00:53:21,760
Jillian Forester in studying brain
1265
00:53:21,760 --> 00:53:24,160
evolution and development.
1266
00:53:24,160 --> 00:53:26,000
Recently, she's brought into the world
1267
00:53:26,000 --> 00:53:30,559
her own test subject, 4mon-old Elio.
1268
00:53:30,559 --> 00:53:32,800
>> Raspberry is is is a new skill, isn't
1269
00:53:32,800 --> 00:53:35,680
it?
1270
00:53:36,400 --> 00:53:38,960
Elio's social brain is already starting
1271
00:53:38,960 --> 00:53:40,480
to kick in.
1272
00:53:40,480 --> 00:53:42,319
>> He's become very vocal recently. He's
1273
00:53:42,319 --> 00:53:43,839
talking a lot. Although he does he when
1274
00:53:43,839 --> 00:53:45,599
other people are talking, he like he's
1275
00:53:45,599 --> 00:53:47,200
likes to listen. But I mean, there are
1276
00:53:47,200 --> 00:53:49,680
all of these incredible mechanisms that
1277
00:53:49,680 --> 00:53:51,440
we've developed. You know, they come out
1278
00:53:51,440 --> 00:53:52,960
screaming their heads off, which makes
1279
00:53:52,960 --> 00:53:56,240
us all kind of run to them immediately.
1280
00:53:56,240 --> 00:53:58,319
And then and then they develop smiles
1281
00:53:58,319 --> 00:54:00,240
and giggles and these things which keep
1282
00:54:00,240 --> 00:54:02,000
us there and keep us interacting with
1283
00:54:02,000 --> 00:54:04,000
them and creates this interaction which
1284
00:54:04,000 --> 00:54:05,280
the babies need to learn
1285
00:54:05,280 --> 00:54:06,480
>> and humans have evolved that
1286
00:54:06,480 --> 00:54:07,760
>> this is something that I think we're
1287
00:54:07,760 --> 00:54:10,720
continuing to to find out and explore.
1288
00:54:10,720 --> 00:54:13,680
>> How does this compare human babies with
1289
00:54:13,680 --> 00:54:15,839
other primates for example or indeed
1290
00:54:15,839 --> 00:54:17,520
other animals? One of the special
1291
00:54:17,520 --> 00:54:20,160
characteristics of us humans is that
1292
00:54:20,160 --> 00:54:22,800
we're born relatively early and
1293
00:54:22,800 --> 00:54:25,200
underdeveloped in comparison to other
1294
00:54:25,200 --> 00:54:27,200
gray apes. Gorillas, when they're born,
1295
00:54:27,200 --> 00:54:29,119
they they can grip onto their mums
1296
00:54:29,119 --> 00:54:30,960
better. They're not independent yet, but
1297
00:54:30,960 --> 00:54:32,800
but they're not quite as vulnerable as
1298
00:54:32,800 --> 00:54:35,599
our human babies. We've got a longer
1299
00:54:35,599 --> 00:54:39,200
developmental period, and it's made us
1300
00:54:39,200 --> 00:54:42,079
able to learn things more socially from
1301
00:54:42,079 --> 00:54:45,510
a very young age. Who's this?
1302
00:54:45,510 --> 00:54:48,639
[Music]
1303
00:54:48,880 --> 00:54:50,319
Who's that?
1304
00:54:50,319 --> 00:54:51,920
>> Of all the toys that he's been
1305
00:54:51,920 --> 00:54:53,760
introduced to, this gorilla is
1306
00:54:53,760 --> 00:54:55,200
definitely the one that makes him
1307
00:54:55,200 --> 00:54:58,200
happiest.
1308
00:54:59,839 --> 00:55:02,079
>> A long childhood gives us what's known
1309
00:55:02,079 --> 00:55:05,760
as high plasticity. Our brains can adapt
1310
00:55:05,760 --> 00:55:07,359
according to the different environments
1311
00:55:07,359 --> 00:55:10,680
we're in.
1312
00:55:11,200 --> 00:55:13,680
But it means our ancestors had to look
1313
00:55:13,680 --> 00:55:16,559
after a helpless infant for years in the
1314
00:55:16,559 --> 00:55:20,880
wild. It poses a huge question.
1315
00:55:20,880 --> 00:55:22,480
>> How did we survive?
1316
00:55:22,480 --> 00:55:25,440
>> Well, so as you'll know, being a parent,
1317
00:55:25,440 --> 00:55:28,319
>> it's a massive parental investment. With
1318
00:55:28,319 --> 00:55:30,480
modern humans, we've often got two
1319
00:55:30,480 --> 00:55:32,240
parents. And we also have extended
1320
00:55:32,240 --> 00:55:35,440
families that help raise these babies,
1321
00:55:35,440 --> 00:55:38,400
not just to be fed, but to be socially
1322
00:55:38,400 --> 00:55:41,839
engaged and to keep giving the stimulus
1323
00:55:41,839 --> 00:55:43,839
and the stimulation to the brain. You
1324
00:55:43,839 --> 00:55:45,119
know, our brains carry on developing
1325
00:55:45,119 --> 00:55:46,800
through adolescence, and we've we think
1326
00:55:46,800 --> 00:55:48,480
now that this is carrying on until we're
1327
00:55:48,480 --> 00:55:51,119
sort of in our mid20s. So potentially
1328
00:55:51,119 --> 00:55:52,559
providing these very nurturing
1329
00:55:52,559 --> 00:55:54,960
environments really just allows this
1330
00:55:54,960 --> 00:55:57,119
plasticity, this learning, this
1331
00:55:57,119 --> 00:55:59,440
flexibility to continue for longer and
1332
00:55:59,440 --> 00:56:01,760
longer.
1333
00:56:01,760 --> 00:56:04,480
>> So the lesson is without loving,
1334
00:56:04,480 --> 00:56:07,200
self-sacrificing parents and supportive
1335
00:56:07,200 --> 00:56:09,680
social communities, we'd never have
1336
00:56:09,680 --> 00:56:12,000
survived the rigors of the wild and
1337
00:56:12,000 --> 00:56:16,680
evolved the brains we have today.
1338
00:56:17,280 --> 00:56:20,160
The human brain has now started to build
1339
00:56:20,160 --> 00:56:23,119
machines which can surpass it in so many
1340
00:56:23,119 --> 00:56:26,880
ways. We humans have used our cognitive
1341
00:56:26,880 --> 00:56:29,280
powers to astonishing effect. From those
1342
00:56:29,280 --> 00:56:32,160
very early stone tools to devices like
1343
00:56:32,160 --> 00:56:34,319
this, a smartphone is basically a
1344
00:56:34,319 --> 00:56:36,960
pocket-siz supercomput capable of
1345
00:56:36,960 --> 00:56:39,599
processing vast amounts of information,
1346
00:56:39,599 --> 00:56:41,359
carrying out operations much more
1347
00:56:41,359 --> 00:56:43,839
quickly than our brains could ever do.
1348
00:56:43,839 --> 00:56:46,160
And today we're on the brink of a new
1349
00:56:46,160 --> 00:56:48,480
technological revolution. Artificial
1350
00:56:48,480 --> 00:56:50,880
intelligence is already performing
1351
00:56:50,880 --> 00:56:54,079
complex mental tasks from essay writing
1352
00:56:54,079 --> 00:56:57,960
to composing music.
1353
00:56:59,359 --> 00:57:02,240
The future of AI, our most extraordinary
1354
00:57:02,240 --> 00:57:05,200
creation, is still unknown. But what
1355
00:57:05,200 --> 00:57:07,599
I've learned on my journey has given me
1356
00:57:07,599 --> 00:57:10,400
hope. that being in a community with
1357
00:57:10,400 --> 00:57:14,079
others was the crucial final step in the
1358
00:57:14,079 --> 00:57:18,119
evolution of our brains.
1359
00:57:18,160 --> 00:57:20,960
What has fundamentally shaped our brains
1360
00:57:20,960 --> 00:57:23,280
is our relationships with each other.
1361
00:57:23,280 --> 00:57:25,599
It's the family and friendship groups we
1362
00:57:25,599 --> 00:57:28,480
form. It's our shared histories, our
1363
00:57:28,480 --> 00:57:31,040
shared cultures, our beliefs, our
1364
00:57:31,040 --> 00:57:35,119
memories. Ultimately, it's our capacity
1365
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for empathy, for love, for
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self-sacrifice, for thinking about each
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other that has made us who we are.
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Curious about how MRI technology can
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reveal the secrets of your brain? To
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watch the Open University's new
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animation exploring how an MRI works and
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what it reveals, scan the QR code or go
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to bbc.co.uk. uk/secsofthebrain
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and follow the links to the open
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university.
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[Music]
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