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These are the user uploaded subtitles that are being translated: 1 00:00:00,870 --> 00:00:05,950 [Music] 2 00:00:08,960 --> 00:00:11,120 I'm Jamal Khalili, a professor of 3 00:00:11,120 --> 00:00:13,840 theoretical physics, and I'm exploring 4 00:00:13,840 --> 00:00:16,640 how the most complex objects we know of 5 00:00:16,640 --> 00:00:20,080 in the universe, our brains, evolved. 6 00:00:20,080 --> 00:00:21,359 >> This is what your head looks like 7 00:00:21,359 --> 00:00:22,630 inside. 8 00:00:22,630 --> 00:00:26,759 [Music] 9 00:00:29,199 --> 00:00:31,199 In the last episode, we went from the 10 00:00:31,199 --> 00:00:34,480 first neurons to the early mammal brain. 11 00:00:34,480 --> 00:00:37,480 Wow. 12 00:00:37,840 --> 00:00:40,399 In this episode, I learn how life in the 13 00:00:40,399 --> 00:00:43,740 forests shape our brains 14 00:00:43,740 --> 00:00:45,200 [Music] 15 00:00:45,200 --> 00:00:48,239 and how our primate ancestors solve 16 00:00:48,239 --> 00:00:50,320 problems to survive. 17 00:00:50,320 --> 00:00:51,360 >> Look how quick. 18 00:00:51,360 --> 00:00:54,879 >> Oh my word. 19 00:00:54,879 --> 00:00:56,879 With my wife, I investigate how 20 00:00:56,879 --> 00:00:59,280 relationships made us intelligent. 21 00:00:59,280 --> 00:01:00,559 >> You're not a showoff like me, is that? 22 00:01:00,559 --> 00:01:02,079 >> No, I'm not a show off like you. Not 23 00:01:02,079 --> 00:01:02,800 many people are. 24 00:01:02,800 --> 00:01:03,520 >> It's a long 25 00:01:03,520 --> 00:01:06,080 >> and how our brains are wired to be 26 00:01:06,080 --> 00:01:07,439 social. 27 00:01:07,439 --> 00:01:10,560 >> The single best predictor of how long 28 00:01:10,560 --> 00:01:12,080 you're going to live into the future. 29 00:01:12,080 --> 00:01:13,920 It's simply the number and quality of 30 00:01:13,920 --> 00:01:16,960 close friendships. 31 00:01:16,960 --> 00:01:19,280 As we build artificial intelligence 32 00:01:19,280 --> 00:01:22,799 vying to overtake our brains, 33 00:01:22,799 --> 00:01:24,960 I want to find out what makes the thing 34 00:01:24,960 --> 00:01:28,560 in our skulls so special. 35 00:01:28,560 --> 00:01:33,280 This is my brain and this is its 600 36 00:01:33,280 --> 00:01:35,960 millionyear story. 37 00:01:35,960 --> 00:01:44,679 [Music] 38 00:01:46,320 --> 00:01:49,680 66 million years ago, the Earth lay in 39 00:01:49,680 --> 00:01:52,960 desolation and darkness. An asteroid 40 00:01:52,960 --> 00:01:56,560 smashed into the surface of the planet. 41 00:01:56,560 --> 00:01:59,520 Soot and ash and vaporized bedrock, 42 00:01:59,520 --> 00:02:02,479 dimming the sun. Perhaps threearters of 43 00:02:02,479 --> 00:02:07,399 all life on Earth was wiped out, 44 00:02:08,160 --> 00:02:10,239 including the gigantic dinosaurs which 45 00:02:10,239 --> 00:02:12,720 had ruled the world. 46 00:02:12,720 --> 00:02:14,879 But as the earth slowly recovered, 47 00:02:14,879 --> 00:02:17,920 forests returned and spread across the 48 00:02:17,920 --> 00:02:20,080 land. 49 00:02:20,080 --> 00:02:22,560 And with the dinosaurs gone, small 50 00:02:22,560 --> 00:02:26,080 creatures colonized this new habitat. 51 00:02:26,080 --> 00:02:28,879 Among them were our ancestors. Now, 52 00:02:28,879 --> 00:02:31,200 here's the mystery. How did they survive 53 00:02:31,200 --> 00:02:34,519 this catastrophe? 54 00:02:38,800 --> 00:02:41,280 >> Dr. Ornella Bertron studies the 55 00:02:41,280 --> 00:02:44,080 extremely limited evidence that survives 56 00:02:44,080 --> 00:02:46,239 from this dark period in the Earth's 57 00:02:46,239 --> 00:02:48,239 history. 58 00:02:48,239 --> 00:02:50,239 That is not an easy job. You've drawn 59 00:02:50,239 --> 00:02:51,599 the short straw when it comes to 60 00:02:51,599 --> 00:02:52,959 paleontology. Right. 61 00:02:52,959 --> 00:02:54,800 >> Definitely because it's very difficult. 62 00:02:54,800 --> 00:02:56,800 There's just not that many fossils. We 63 00:02:56,800 --> 00:02:59,040 find teeth. We find like a bit of bone 64 00:02:59,040 --> 00:03:00,800 sometimes. One group that I'm really 65 00:03:00,800 --> 00:03:03,680 interested in understanding is a group 66 00:03:03,680 --> 00:03:06,080 called plesiaforms. They were little 67 00:03:06,080 --> 00:03:09,840 like warm-blooded mammals. 68 00:03:09,840 --> 00:03:13,760 Plesiaforms resembled modern shrews. 69 00:03:13,760 --> 00:03:16,319 It's thought they used their sharp claws 70 00:03:16,319 --> 00:03:19,040 to cling onto the branches of trees in 71 00:03:19,040 --> 00:03:22,080 the primeval forest. They're the closest 72 00:03:22,080 --> 00:03:24,400 we found to the predecessors of all 73 00:03:24,400 --> 00:03:27,840 today's primates, including us. 74 00:03:27,840 --> 00:03:30,480 Orella studies their skulls, but she 75 00:03:30,480 --> 00:03:32,959 doesn't have many to work with. 76 00:03:32,959 --> 00:03:34,959 >> We really have like six good specimens 77 00:03:34,959 --> 00:03:35,760 so far. 78 00:03:35,760 --> 00:03:37,680 >> Six specimens 79 00:03:37,680 --> 00:03:39,680 >> in total these creatures. 80 00:03:39,680 --> 00:03:41,519 >> Yeah. Yeah. So that's that's very 81 00:03:41,519 --> 00:03:43,680 little, but we can learn so much just 82 00:03:43,680 --> 00:03:45,760 from those different skulls. 83 00:03:45,760 --> 00:03:49,120 Ornella has a 3D print of the skull of a 84 00:03:49,120 --> 00:03:52,640 specimen called Ignatius Grey Bullanis 85 00:03:52,640 --> 00:03:56,159 upscaled so we can see the details. By 86 00:03:56,159 --> 00:03:58,799 scanning the cavity inside the skull, 87 00:03:58,799 --> 00:04:01,280 she's been able to produce a cast of the 88 00:04:01,280 --> 00:04:02,319 missing brain. 89 00:04:02,319 --> 00:04:04,000 >> Tada. It's amazing, isn't it? 90 00:04:04,000 --> 00:04:05,280 >> Is incredible. 91 00:04:05,280 --> 00:04:07,200 >> It gave us like so much information 92 00:04:07,200 --> 00:04:09,439 about what actually those animals were 93 00:04:09,439 --> 00:04:12,000 able to do. And for example, these 94 00:04:12,000 --> 00:04:13,040 structures in front. 95 00:04:13,040 --> 00:04:14,799 >> I was just going to ask you there funny 96 00:04:14,799 --> 00:04:16,399 little knobbybly bits at the front. 97 00:04:16,399 --> 00:04:18,478 >> Yes, we still have those structure. The 98 00:04:18,478 --> 00:04:20,079 allactory bulbs in humans. 99 00:04:20,079 --> 00:04:21,918 >> They're old factory. Okay. So that's for 100 00:04:21,918 --> 00:04:23,120 smell the smell. 101 00:04:23,120 --> 00:04:25,680 >> Yeah. Yeah. Exactly. 102 00:04:25,680 --> 00:04:28,880 >> Plesiodapforms had very large smell 103 00:04:28,880 --> 00:04:31,360 processing systems. 104 00:04:31,360 --> 00:04:33,600 Orella believes they may have scavenged 105 00:04:33,600 --> 00:04:36,560 at dusk and at night when a strong sense 106 00:04:36,560 --> 00:04:39,919 of smell is very useful. 107 00:04:39,919 --> 00:04:41,919 I imagine them being like quietly moving 108 00:04:41,919 --> 00:04:44,160 among the branches. That's kind of yeah 109 00:04:44,160 --> 00:04:45,600 how I see them. 110 00:04:45,600 --> 00:04:49,280 >> For this documentary, I've had my brain 111 00:04:49,280 --> 00:04:53,040 scanned and I've been carrying around 112 00:04:53,040 --> 00:04:56,000 a a 3D printed version of my brain. 113 00:04:56,000 --> 00:04:56,639 >> Wow. 114 00:04:56,639 --> 00:04:58,400 >> Which is here, which I'm very proud of. 115 00:04:58,400 --> 00:05:00,000 >> I would be that's amazing. 116 00:05:00,000 --> 00:05:02,240 >> Which we can put alongside Ignatius. I'm 117 00:05:02,240 --> 00:05:04,160 not Look, I'm not boasting. There's been 118 00:05:04,160 --> 00:05:05,199 some evolution. 119 00:05:05,199 --> 00:05:08,400 >> So, just a little bit. 120 00:05:08,400 --> 00:05:10,639 I'm interested in a particular part of 121 00:05:10,639 --> 00:05:14,320 the brain, the neoortex. 122 00:05:14,320 --> 00:05:16,160 >> So here we have the neoortex of 123 00:05:16,160 --> 00:05:18,080 Ignatius. It's very small. It's actually 124 00:05:18,080 --> 00:05:20,320 just this part of the brain. 125 00:05:20,320 --> 00:05:23,680 >> In Ignatius, it covers about 20% of the 126 00:05:23,680 --> 00:05:25,520 top of the brain. That's very different 127 00:05:25,520 --> 00:05:27,360 in a human brain, isn't it? 128 00:05:27,360 --> 00:05:29,199 >> Very, very different. You can see like 129 00:05:29,199 --> 00:05:31,280 the neocortex in humans actually is 130 00:05:31,280 --> 00:05:33,120 covering the entire rest of the brain. 131 00:05:33,120 --> 00:05:35,759 This is amazing how big that it got in 132 00:05:35,759 --> 00:05:38,639 humans. 133 00:05:38,639 --> 00:05:41,600 A rudimentary neoortex helped early 134 00:05:41,600 --> 00:05:44,000 mammals analyze the world around them 135 00:05:44,000 --> 00:05:47,199 and respond to it. For humans, it's 136 00:05:47,199 --> 00:05:49,759 become the seat of advanced thinking, 137 00:05:49,759 --> 00:05:52,720 reasoning, and perception. But the 138 00:05:52,720 --> 00:05:56,479 mystery is why did our neoortex grow so 139 00:05:56,479 --> 00:05:59,680 large compared to any other mammal? 140 00:05:59,680 --> 00:06:02,320 There's a compelling theory and it's to 141 00:06:02,320 --> 00:06:05,440 do with climate change. 142 00:06:05,440 --> 00:06:08,639 About 56 million years ago, greenhouse 143 00:06:08,639 --> 00:06:11,520 gases released by volcanic activity 144 00:06:11,520 --> 00:06:14,319 caused sudden global warming of up to 145 00:06:14,319 --> 00:06:17,319 5ยฐ. 146 00:06:18,560 --> 00:06:21,840 It was the beginning of the Eosene era, 147 00:06:21,840 --> 00:06:25,440 a time of astonishing changes. 148 00:06:25,440 --> 00:06:27,440 In the hop house environment of the 149 00:06:27,440 --> 00:06:30,639 Eioene, dense rainforests spread around 150 00:06:30,639 --> 00:06:33,199 the world. They even reached high enough 151 00:06:33,199 --> 00:06:35,199 latitudes to be within what is today the 152 00:06:35,199 --> 00:06:37,759 Arctic Circle. And as with the 153 00:06:37,759 --> 00:06:42,960 rainforests of today, life proliferated. 154 00:06:42,960 --> 00:06:45,440 Just look at these extraordinary fossils 155 00:06:45,440 --> 00:06:48,319 found near Frankfurt in Germany, dating 156 00:06:48,319 --> 00:06:51,440 nearly 50 million years ago. They give 157 00:06:51,440 --> 00:06:53,520 us an incredible insight into the 158 00:06:53,520 --> 00:06:55,919 competition which raged in the forests 159 00:06:55,919 --> 00:06:57,940 of the early eosene. 160 00:06:57,940 --> 00:07:00,319 [Music] 161 00:07:00,319 --> 00:07:03,599 There were birds and agile tree dwelling 162 00:07:03,599 --> 00:07:06,319 rodents. There were highly dangerous 163 00:07:06,319 --> 00:07:09,199 predators, too. All of this meant fierce 164 00:07:09,199 --> 00:07:12,240 competition for food and resources. And 165 00:07:12,240 --> 00:07:14,560 with all these new predators around, it 166 00:07:14,560 --> 00:07:17,360 was much more dangerous, too. Only those 167 00:07:17,360 --> 00:07:22,360 creatures able to adapt would survive. 168 00:07:22,580 --> 00:07:23,919 [Music] 169 00:07:23,919 --> 00:07:26,880 In these changed circumstances, simply 170 00:07:26,880 --> 00:07:29,680 staying alive would take brains as well 171 00:07:29,680 --> 00:07:32,919 as brawn. 172 00:07:32,990 --> 00:07:34,960 [Music] 173 00:07:34,960 --> 00:07:37,840 As I'm very quickly finding out, a tree 174 00:07:37,840 --> 00:07:40,880 is a tricky place to call home. It's 175 00:07:40,880 --> 00:07:42,639 actually quite difficult moving around 176 00:07:42,639 --> 00:07:44,560 up here. It It doesn't just take 177 00:07:44,560 --> 00:07:47,280 physical strength. You need judgment. 178 00:07:47,280 --> 00:07:49,199 You need to decide whether a branch is 179 00:07:49,199 --> 00:07:50,479 strong enough to hold your weight, 180 00:07:50,479 --> 00:07:52,240 whether it's too wobbly. You need to 181 00:07:52,240 --> 00:07:55,120 plan a route through the trees. 182 00:07:55,120 --> 00:07:56,960 On top of the physical, the mental 183 00:07:56,960 --> 00:07:59,199 agility you need, coping with the 184 00:07:59,199 --> 00:08:01,840 incredibly complex visual field of a 185 00:08:01,840 --> 00:08:04,160 canopy of leaves poses yet more 186 00:08:04,160 --> 00:08:05,919 problems. 187 00:08:05,919 --> 00:08:07,120 While finding it really difficult 188 00:08:07,120 --> 00:08:09,039 peering through the leaves and twigs and 189 00:08:09,039 --> 00:08:11,039 branches, keeping an eye out for 190 00:08:11,039 --> 00:08:13,440 predators as well as foraging for food 191 00:08:13,440 --> 00:08:17,120 must have been a real challenge. 192 00:08:17,120 --> 00:08:19,039 In the face of these evolutionary 193 00:08:19,039 --> 00:08:21,599 pressures, a new kind of creature 194 00:08:21,599 --> 00:08:23,599 appears in the fossil record of the 195 00:08:23,599 --> 00:08:26,240 eosene. 196 00:08:26,240 --> 00:08:28,800 They're called crown primates, the 197 00:08:28,800 --> 00:08:31,039 forerunners of all today's primates, 198 00:08:31,039 --> 00:08:33,799 including, of course, us. 199 00:08:33,799 --> 00:08:39,519 [Music] 200 00:08:39,519 --> 00:08:42,000 Is this the way we sit? 201 00:08:42,000 --> 00:08:45,120 Like this? Early primates were well 202 00:08:45,120 --> 00:08:48,399 adapted to life in the trees. 203 00:08:48,399 --> 00:08:51,040 What's interesting is the way he's 204 00:08:51,040 --> 00:08:54,560 grasping the branch. 205 00:08:54,560 --> 00:08:56,320 [Music] 206 00:08:56,320 --> 00:08:58,959 During the eosene, primates evolved 207 00:08:58,959 --> 00:09:03,959 gripping hands and feet with nails. 208 00:09:10,240 --> 00:09:12,240 They're much more dextrous. They're able 209 00:09:12,240 --> 00:09:15,040 to hold on to this branch. It also means 210 00:09:15,040 --> 00:09:17,680 they can use these hands to find food, 211 00:09:17,680 --> 00:09:20,000 to forage, to manipulate objects much 212 00:09:20,000 --> 00:09:22,220 more easily. 213 00:09:22,220 --> 00:09:25,330 [Music] 214 00:09:26,000 --> 00:09:28,240 The other thing to notice is that they 215 00:09:28,240 --> 00:09:30,480 have eyes at the fronts of their heads, 216 00:09:30,480 --> 00:09:32,560 not on the side. 217 00:09:32,560 --> 00:09:34,720 Animals with eyes on the side of their 218 00:09:34,720 --> 00:09:37,519 heads have a wider field of view and can 219 00:09:37,519 --> 00:09:41,120 spot predators better. 220 00:09:41,120 --> 00:09:43,440 But eyes at the front help with what's 221 00:09:43,440 --> 00:09:45,680 ahead of you, judging the distance to 222 00:09:45,680 --> 00:09:49,790 the next branch or locating food. 223 00:09:49,790 --> 00:09:53,520 [Music] 224 00:09:53,760 --> 00:09:56,240 The effect of millions of years of tree 225 00:09:56,240 --> 00:09:58,399 dwelling is clear when we look at the 226 00:09:58,399 --> 00:10:02,000 fossil record. This is the brain cast of 227 00:10:02,000 --> 00:10:05,600 Ignatius, the plesapp we've already seen 228 00:10:05,600 --> 00:10:07,440 clambering around the forest in the 229 00:10:07,440 --> 00:10:10,560 years after the dinosaur extinction. 230 00:10:10,560 --> 00:10:13,360 And this is the brain cast of a primate 231 00:10:13,360 --> 00:10:16,880 called runa. It evolved around 20 232 00:10:16,880 --> 00:10:20,079 million years after Ignatius. 233 00:10:20,079 --> 00:10:23,519 With Ignatius, the neoortex covered 20% 234 00:10:23,519 --> 00:10:27,600 of its brain. With runa it now covers 235 00:10:27,600 --> 00:10:29,720 half its brain. 236 00:10:29,720 --> 00:10:32,160 [Music] 237 00:10:32,160 --> 00:10:36,690 The neoortex analyzes visual data 238 00:10:36,690 --> 00:10:38,640 [Music] 239 00:10:38,640 --> 00:10:42,240 and it has many other functions besides. 240 00:10:42,240 --> 00:10:45,600 It works in extraordinarily complex ways 241 00:10:45,600 --> 00:10:47,440 which we take for granted in our 242 00:10:47,440 --> 00:10:50,880 everyday lives. 243 00:10:50,880 --> 00:10:52,959 Take for instance what happens inside 244 00:10:52,959 --> 00:10:54,880 our brains when we do something as 245 00:10:54,880 --> 00:10:58,000 deceptively simple as reaching out and 246 00:10:58,000 --> 00:11:00,240 grabbing an apple. It's actually far 247 00:11:00,240 --> 00:11:04,680 more complicated than you might think. 248 00:11:08,000 --> 00:11:10,240 I'm getting an extraordinary insight 249 00:11:10,240 --> 00:11:12,800 into what's involved when we reach out 250 00:11:12,800 --> 00:11:15,279 and grab something. 251 00:11:15,279 --> 00:11:17,360 Dr. David Pitcher at the University of 252 00:11:17,360 --> 00:11:20,640 York has carried out a functional MRI 253 00:11:20,640 --> 00:11:22,480 which measures the way the blood flows 254 00:11:22,480 --> 00:11:25,200 in my brain. 255 00:11:25,200 --> 00:11:26,480 >> Okay, Jim, this is going to be an 256 00:11:26,480 --> 00:11:29,040 8-minute scan. while he plays me videos 257 00:11:29,040 --> 00:11:33,920 of reaching out and grasping an apple. 258 00:11:33,920 --> 00:11:36,320 >> My colleague Al is going to put this uh 259 00:11:36,320 --> 00:11:38,160 hello right on your head. 260 00:11:38,160 --> 00:11:38,880 >> Yeah, I think so. 261 00:11:38,880 --> 00:11:40,959 >> Then he uploads my results to this 262 00:11:40,959 --> 00:11:43,279 machine 263 00:11:43,279 --> 00:11:45,519 >> which uses spatial recognition 264 00:11:45,519 --> 00:11:48,320 technology to guide me around my own 265 00:11:48,320 --> 00:11:49,600 brain. 266 00:11:49,600 --> 00:11:52,079 >> Now where she points to with that um 267 00:11:52,079 --> 00:11:54,079 pointer, this is what your head looks 268 00:11:54,079 --> 00:11:56,480 like inside. 269 00:11:56,480 --> 00:11:57,920 Lovely death mask as well, isn't it? 270 00:11:57,920 --> 00:11:59,680 >> Yeah. Oh, I can rotate that for you as 271 00:11:59,680 --> 00:12:03,360 well, so we can see. 272 00:12:03,360 --> 00:12:05,839 >> My scan shows astonishing activity 273 00:12:05,839 --> 00:12:08,959 across my cerebral cortex as I watch the 274 00:12:08,959 --> 00:12:10,639 video. 275 00:12:10,639 --> 00:12:12,880 First, David shows me how my visual 276 00:12:12,880 --> 00:12:16,160 processing works. A complex system which 277 00:12:16,160 --> 00:12:18,480 really started to develop with those 278 00:12:18,480 --> 00:12:20,639 early primates. 279 00:12:20,639 --> 00:12:23,040 light hits your eyeball that's then 280 00:12:23,040 --> 00:12:25,279 converted into neuronal signaling. That 281 00:12:25,279 --> 00:12:27,760 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 00:12:32,480 --> 00:12:33,760 back of your head. 285 00:12:33,760 --> 00:12:36,560 >> As I was looking at the apple, my visual 286 00:12:36,560 --> 00:12:39,040 cortex connected with another part of my 287 00:12:39,040 --> 00:12:42,399 brain which helps us recognize objects. 288 00:12:42,399 --> 00:12:44,320 >> You see this pathway that lights up? 289 00:12:44,320 --> 00:12:45,760 This is the vententral object 290 00:12:45,760 --> 00:12:46,959 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 00:13:01,440 --> 00:13:04,720 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 00:14:02,800 --> 00:14:04,399 brains. 325 00:14:04,399 --> 00:14:05,920 >> 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 00:57:35,119 --> 00:57:37,839 for empathy, for love, for 1366 00:57:37,839 --> 00:57:40,079 self-sacrifice, for thinking about each 1367 00:57:40,079 --> 00:57:45,559 other that has made us who we are. 1368 00:57:45,839 --> 00:57:48,640 Curious about how MRI technology can 1369 00:57:48,640 --> 00:57:51,680 reveal the secrets of your brain? To 1370 00:57:51,680 --> 00:57:53,440 watch the Open University's new 1371 00:57:53,440 --> 00:57:56,960 animation exploring how an MRI works and 1372 00:57:56,960 --> 00:58:00,400 what it reveals, scan the QR code or go 1373 00:58:00,400 --> 00:58:05,079 to bbc.co.uk. uk/secsofthebrain 1374 00:58:05,200 --> 00:58:06,960 and follow the links to the open 1375 00:58:06,960 --> 00:58:09,960 university. 1376 00:58:11,050 --> 00:58:37,409 [Music] 99632

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