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These are the user uploaded subtitles that are being translated: 1 00:00:01,520 --> 00:00:04,990 It lies somewhere in the human mind. 2 00:00:04,990 --> 00:00:07,790 It brings mathematical insight, 3 00:00:07,790 --> 00:00:11,090 sparks artistic inspiration. 4 00:00:11,090 --> 00:00:14,160 It's the gift to see what others can't. 5 00:00:14,160 --> 00:00:19,000 But is genius only for a rare few... 6 00:00:19,000 --> 00:00:21,900 Or do we all have untapped potential? 7 00:00:21,910 --> 00:00:25,310 Now neuroscience is beginning to unleash 8 00:00:25,310 --> 00:00:27,580 our mind's hidden powers, 9 00:00:27,580 --> 00:00:30,750 engineering "Eureka" moments 10 00:00:30,750 --> 00:00:34,180 and augmenting biology with technology 11 00:00:34,180 --> 00:00:38,250 to unlock the genius inside us all. 12 00:00:42,690 --> 00:00:47,400 Space, time, life itself. 13 00:00:49,800 --> 00:00:54,140 The secrets of the cosmos lie through the wormhole. 14 00:00:59,110 --> 00:01:02,110 Captions by Vitac... www.Vitac.Com 15 00:01:02,110 --> 00:01:05,110 captions paid for by discovery communications 16 00:01:07,580 --> 00:01:10,220 Genius. 17 00:01:10,220 --> 00:01:12,750 Music has Stevie wonder. 18 00:01:12,760 --> 00:01:15,090 Physics... Einstein. 19 00:01:15,090 --> 00:01:18,630 Literature... Emily Dickinson. 20 00:01:18,630 --> 00:01:20,630 Every generation is blessed 21 00:01:20,630 --> 00:01:24,070 with men and women who have exceptional minds. 22 00:01:24,070 --> 00:01:26,270 Genius has many facets, 23 00:01:26,270 --> 00:01:29,870 from remarkable memory to inspiration 24 00:01:29,870 --> 00:01:32,140 to invention. 25 00:01:32,140 --> 00:01:34,610 But what about you? 26 00:01:34,610 --> 00:01:38,110 As neuroscientists uncover the secrets of our brains, 27 00:01:38,120 --> 00:01:39,910 they're beginning to unlock 28 00:01:39,920 --> 00:01:43,590 the hidden talents in every one of us. 29 00:01:43,590 --> 00:01:47,520 We may not all start with Einstein's mind, 30 00:01:47,520 --> 00:01:51,330 but why can't we all become geniuses? 31 00:01:58,270 --> 00:02:01,470 Jason Padgett is a mathematical phenomenon, 32 00:02:01,470 --> 00:02:04,910 but he wasn't born this way. 33 00:02:04,910 --> 00:02:07,480 But one night in his early 30s, 34 00:02:07,480 --> 00:02:11,910 Jason's life and mind were completely changed. 35 00:02:11,920 --> 00:02:15,180 I heard, almost more than felt, 36 00:02:15,190 --> 00:02:16,920 this deep thud, 37 00:02:16,920 --> 00:02:21,020 and saw what was just like a bright puff of white light. 38 00:02:21,020 --> 00:02:24,060 And the next thing I knew, I was on my knees, 39 00:02:24,060 --> 00:02:27,560 just getting punched and kicked from every direction. 40 00:02:27,560 --> 00:02:29,330 Before the mugging, 41 00:02:29,330 --> 00:02:32,930 Jason was a furniture salesman, a college dropout. 42 00:02:32,940 --> 00:02:35,300 He had no interest in math. 43 00:02:35,310 --> 00:02:37,140 I absolutely hated math. 44 00:02:37,140 --> 00:02:40,240 I really believed it didn't apply to anything 45 00:02:40,240 --> 00:02:42,140 and there was no use for it. 46 00:02:42,150 --> 00:02:44,880 But the injuries to Jason's brain 47 00:02:44,880 --> 00:02:46,050 somehow unlocked 48 00:02:46,050 --> 00:02:49,320 a new and exceptional way of looking at the world. 49 00:02:52,120 --> 00:02:55,560 Everything that was curved before 50 00:02:55,560 --> 00:02:57,860 looks like it has little edges. 51 00:02:57,860 --> 00:03:01,460 So all the smoothness of everything is gone. 52 00:03:01,460 --> 00:03:03,400 No matter what shape I looked at, 53 00:03:03,400 --> 00:03:06,100 I could cut it into a certain number of triangles 54 00:03:06,100 --> 00:03:07,340 to make that shape. 55 00:03:07,340 --> 00:03:11,270 But I never had noticed it before. 56 00:03:11,270 --> 00:03:12,440 I just made me realize 57 00:03:12,440 --> 00:03:14,880 that this connection with triangles and shapes 58 00:03:14,880 --> 00:03:16,210 was everywhere, 59 00:03:16,210 --> 00:03:20,010 which then just seemed obvious that it was mathematical. 60 00:03:20,020 --> 00:03:24,490 Now whenever Jason looks at mathematical equations, 61 00:03:24,490 --> 00:03:27,690 his mind immediately transforms them 62 00:03:27,690 --> 00:03:30,160 into complex geometric shapes. 63 00:03:30,160 --> 00:03:34,660 His mind imposes the same geometry on the natural world 64 00:03:34,660 --> 00:03:36,730 wherever he sees patterns. 65 00:03:36,730 --> 00:03:40,600 Sometimes it almost feels like a little superpower. 66 00:03:40,600 --> 00:03:43,870 I see the world as pure geometry. 67 00:03:43,870 --> 00:03:46,770 This one-time underachiever 68 00:03:46,780 --> 00:03:49,580 now studies advanced number theory 69 00:03:49,580 --> 00:03:52,150 and makes award-winning drawings 70 00:03:52,150 --> 00:03:55,150 of complex mathematical concepts. 71 00:03:58,590 --> 00:04:01,920 But what exactly changed in his brain 72 00:04:01,930 --> 00:04:05,730 to turn Jason into a mathematical genius? 73 00:04:05,730 --> 00:04:09,830 And could we engineer the same changes in our own brains? 74 00:04:13,640 --> 00:04:18,440 That's what university of Miami neuroscientist Berit brogaard 75 00:04:18,440 --> 00:04:20,380 wanted to find out. 76 00:04:20,380 --> 00:04:23,650 Berit scanned Jason's brain 77 00:04:23,650 --> 00:04:26,950 while he reviewed a sequence of equations. 78 00:04:26,950 --> 00:04:32,990 She found that his brain had rewired itself after his injury. 79 00:04:32,990 --> 00:04:38,160 Most people use both hemispheres to process mathematics, 80 00:04:38,160 --> 00:04:41,660 but Jason's brain relies on newly formed neural circuits 81 00:04:41,670 --> 00:04:45,870 exclusively in his left hemisphere. 82 00:04:45,870 --> 00:04:48,340 Those areas of his brain were so damaged 83 00:04:48,340 --> 00:04:50,870 that they triggered extra connectivity 84 00:04:50,870 --> 00:04:52,570 in other areas of his brain 85 00:04:52,580 --> 00:04:55,610 and allowing those areas to communicate 86 00:04:55,610 --> 00:04:57,480 in ways that were not possible before. 87 00:04:57,480 --> 00:04:59,110 Berit believes 88 00:04:59,120 --> 00:05:02,020 these unusual patterns of brain activity 89 00:05:02,020 --> 00:05:04,950 triggered Jason's geometrical vision. 90 00:05:04,950 --> 00:05:09,360 It's a form of a condition called synesthesia. 91 00:05:12,000 --> 00:05:15,360 There are different forms of synesthesia. 92 00:05:15,370 --> 00:05:17,600 Someone with color synesthesia 93 00:05:17,600 --> 00:05:21,000 might sense numbers as patches of different colors. 94 00:05:21,000 --> 00:05:25,370 A person with smell synesthesia might hear music 95 00:05:25,380 --> 00:05:28,480 and smell the scent of fresh-brewed coffee. 96 00:05:28,480 --> 00:05:31,880 Jason's synesthesia 97 00:05:31,880 --> 00:05:35,120 combines mathematics with his sense of sight. 98 00:05:35,120 --> 00:05:37,350 So when he sees anything, 99 00:05:37,350 --> 00:05:40,460 he instantly sees its underlying geometry. 100 00:05:42,290 --> 00:05:46,430 It's as if he has X-ray vision, 101 00:05:46,430 --> 00:05:52,200 revealing the mathematics that underpins the entire world. 102 00:05:52,200 --> 00:05:57,340 Synesthesia often enhances your cognitive abilities. 103 00:05:57,340 --> 00:05:59,110 Synesthesia is sort of a key 104 00:05:59,110 --> 00:06:02,380 to unlock unconscious or dormant areas of the brain. 105 00:06:02,380 --> 00:06:04,880 Berit thinks we all have the potential 106 00:06:04,880 --> 00:06:09,420 to unlock these abilities without a blow to the head. 107 00:06:09,420 --> 00:06:11,990 She's finding promising results 108 00:06:11,990 --> 00:06:15,560 in a psychedelic drug called psilocybin. 109 00:06:15,560 --> 00:06:18,990 It's the ingredient in magic mushrooms 110 00:06:19,000 --> 00:06:21,100 that makes them magical. 111 00:06:23,000 --> 00:06:25,330 But when we use it in experiments, 112 00:06:25,340 --> 00:06:28,440 we use it in a pure form where it's isolated, 113 00:06:28,440 --> 00:06:31,540 so we can control the amount that we give to subjects. 114 00:06:31,540 --> 00:06:35,210 Psilocybin supercharges the brain 115 00:06:35,210 --> 00:06:38,180 to handle more sensory information. 116 00:06:38,180 --> 00:06:42,380 The result is a synesthesia-like experience 117 00:06:42,390 --> 00:06:45,120 where test subjects perceive 118 00:06:45,120 --> 00:06:48,590 an explosion of patterns and colors 119 00:06:48,590 --> 00:06:52,830 triggered by senses other than sight. 120 00:06:52,830 --> 00:06:55,830 Synesthesia that is typically induced 121 00:06:55,830 --> 00:06:59,130 is sound to color synesthesia. 122 00:06:59,140 --> 00:07:02,740 So people hear colors, in some sense. 123 00:07:02,740 --> 00:07:05,670 But the mechanism underlying that 124 00:07:05,680 --> 00:07:10,380 may be similar to the mechanism underlying Jason's synesthesia. 125 00:07:10,380 --> 00:07:12,410 If researchers like Berit 126 00:07:12,420 --> 00:07:15,280 can develop legal versions of drugs like psilocybin, 127 00:07:15,290 --> 00:07:17,750 many more of us might soon discover 128 00:07:17,750 --> 00:07:21,960 we have exceptional mental abilities. 129 00:07:21,960 --> 00:07:23,560 In principle, 130 00:07:23,560 --> 00:07:27,360 we could all become geniuses by rewiring our brains. 131 00:07:27,360 --> 00:07:29,430 Of course, the trick is how to do that. 132 00:07:29,430 --> 00:07:32,600 You should definitely not go out and hit yourself in the head. 133 00:07:32,600 --> 00:07:35,870 A blow to the head, or a drug, 134 00:07:35,870 --> 00:07:38,340 can transform your mind. 135 00:07:38,340 --> 00:07:41,110 But is there a way to nurture synesthesia 136 00:07:41,110 --> 00:07:44,180 and the inspiration it can bring? 137 00:07:44,180 --> 00:07:47,420 Albert Einstein had a passion for music. 138 00:07:47,420 --> 00:07:49,780 He described his biggest stroke of genius, 139 00:07:49,790 --> 00:07:54,090 the theory of relativity, as a musical perception. 140 00:08:02,200 --> 00:08:05,600 Neuroscientist and music teacher Dr. Martin Gardiner 141 00:08:05,600 --> 00:08:07,600 thinks music is the key 142 00:08:07,600 --> 00:08:11,270 to getting kids on the path towards genius. 143 00:08:11,270 --> 00:08:14,340 Music provides a fantastic opportunity 144 00:08:14,340 --> 00:08:16,610 to strengthen your mind. 145 00:08:16,610 --> 00:08:19,650 It's one of the most marvelous inventions of humanity. 146 00:08:22,950 --> 00:08:24,650 Are you ready? Here we go. 147 00:08:24,650 --> 00:08:27,290 ¶ I've been to Harlem ¶ 148 00:08:27,290 --> 00:08:28,890 In decades of research, 149 00:08:28,890 --> 00:08:31,860 Martin followed children's academic achievements 150 00:08:31,860 --> 00:08:35,400 as they grew from age 7 to 35. 151 00:08:35,400 --> 00:08:39,330 He found that the strongest predictor of academic success 152 00:08:39,340 --> 00:08:41,370 is whether a student receives musical training 153 00:08:41,370 --> 00:08:43,670 at an early age. 154 00:08:43,670 --> 00:08:46,440 ¶ 5 times 6 is 30 ¶ 155 00:08:49,780 --> 00:08:52,180 all right, I have a new song for you, boys and girls. 156 00:08:52,180 --> 00:08:53,680 - Yay! - Are you ready? 157 00:08:53,680 --> 00:08:55,520 Listening ears... It goes like this. 158 00:08:55,520 --> 00:08:58,320 Martin believes one specific musical teaching system 159 00:08:58,320 --> 00:09:01,490 hits all the right neurological notes. 160 00:09:01,490 --> 00:09:03,490 ¶ ...together ¶ 161 00:09:03,490 --> 00:09:07,090 ¶ as we walk together ¶ 162 00:09:07,100 --> 00:09:10,360 It's called the kodály method. 163 00:09:10,370 --> 00:09:12,600 It teaches children to think of music 164 00:09:12,600 --> 00:09:14,370 as a three-dimensional space, 165 00:09:14,370 --> 00:09:16,370 one they can physically explore. 166 00:09:16,370 --> 00:09:21,010 You could call this an artificial form of synesthesia, 167 00:09:21,010 --> 00:09:24,180 transforming sound into geometry. 168 00:09:26,450 --> 00:09:27,920 All right, so when you get your bag, 169 00:09:27,920 --> 00:09:29,840 you're to lay out your hearts in your work space. 170 00:09:31,890 --> 00:09:33,590 In another exercise, 171 00:09:33,590 --> 00:09:35,890 students spell out the rhythm of a song, 172 00:09:35,890 --> 00:09:40,360 exercising parts of the brain normally used in language. 173 00:09:40,360 --> 00:09:43,700 So, I'm gonna clap the pattern for you. 174 00:09:43,700 --> 00:09:45,470 You're gonna clap it back. 175 00:09:45,470 --> 00:09:47,870 Kids taught with the kodály method 176 00:09:47,870 --> 00:09:52,340 usually outperform their peers in math and reading skills 177 00:09:52,340 --> 00:09:54,110 later in life. 178 00:09:54,110 --> 00:09:56,080 There's a lot of integration going on, 179 00:09:56,080 --> 00:09:58,750 and I think that's the most central thing 180 00:09:58,750 --> 00:10:00,750 that music helps us develop, 181 00:10:00,750 --> 00:10:03,850 is how to apply this kind of integration. 182 00:10:05,460 --> 00:10:09,390 ¶¶ 183 00:10:09,390 --> 00:10:10,890 When you play music, 184 00:10:10,890 --> 00:10:13,730 your brain is doing many things at once. 185 00:10:13,730 --> 00:10:16,130 You read notes on the page, 186 00:10:16,130 --> 00:10:18,270 use your muscles to play them, 187 00:10:18,270 --> 00:10:20,970 listen to their sound reverberating, 188 00:10:20,970 --> 00:10:24,010 and keep a perfect sense of timing. 189 00:10:24,010 --> 00:10:26,810 To perform all these functions at once, 190 00:10:26,810 --> 00:10:29,510 your brain needs a good conductor. 191 00:10:29,510 --> 00:10:31,350 The prefrontal cortex 192 00:10:31,350 --> 00:10:34,820 stops various parts of the brain from stepping on one another, 193 00:10:34,820 --> 00:10:38,950 turning discord into a harmonious symphony. 194 00:10:38,960 --> 00:10:41,960 The more these children learn to blend 195 00:10:41,960 --> 00:10:43,920 music, geometry, and language, 196 00:10:43,930 --> 00:10:47,530 the stronger their prefrontal cortexes grow... 197 00:10:47,530 --> 00:10:51,100 ¶ As we walk together ¶ 198 00:10:51,100 --> 00:10:53,330 And the closer they get to genius. 199 00:10:53,340 --> 00:10:56,600 Music helps build some kind of a bridge 200 00:10:56,610 --> 00:11:00,740 that allows you to begin to use these kinds of highest areas. 201 00:11:02,980 --> 00:11:04,150 Very good. 202 00:11:07,480 --> 00:11:10,750 Music helps many areas of our brain 203 00:11:10,750 --> 00:11:14,490 work together in a symphony of creativity. 204 00:11:14,490 --> 00:11:16,590 But you can't write a symphony 205 00:11:16,590 --> 00:11:20,860 unless you have the inspiration for that first musical phrase. 206 00:11:20,860 --> 00:11:24,170 Where do Eureka moments come from? 207 00:11:24,170 --> 00:11:27,100 Do we have to sit around and wait for them, 208 00:11:27,100 --> 00:11:29,800 or can we make them happen on cue? 209 00:11:33,090 --> 00:11:35,260 Eureka! 210 00:11:35,260 --> 00:11:39,660 It's an ancient Greek word meaning "I've found it." 211 00:11:39,670 --> 00:11:42,100 It's connection to genius started 212 00:11:42,100 --> 00:11:44,070 with the inventor Archimedes, 213 00:11:44,070 --> 00:11:45,700 who supposedly shouted it 214 00:11:45,710 --> 00:11:48,340 after finding the solution to a problem 215 00:11:48,340 --> 00:11:52,080 while sitting in a bathtub. 216 00:11:52,080 --> 00:11:55,610 Inspiration often strikes at odd moments. 217 00:11:55,620 --> 00:11:59,280 Philo t. Farnsworth dreamed up the idea of TV 218 00:11:59,290 --> 00:12:03,560 while plowing a potato field. 219 00:12:03,560 --> 00:12:08,560 Einstein dreamed up relativity riding on a train. 220 00:12:08,560 --> 00:12:13,060 Do certain environments help trigger breakthrough ideas? 221 00:12:13,070 --> 00:12:16,100 And if we knew the answer to that, 222 00:12:16,100 --> 00:12:21,340 could we create places where genius could strike any of us? 223 00:12:28,950 --> 00:12:31,880 Cognitive research scientist John Kounios 224 00:12:31,890 --> 00:12:36,620 wants each and every one of us to have a Eureka moment. 225 00:12:36,620 --> 00:12:38,660 In 1943, Richard James 226 00:12:38,660 --> 00:12:40,590 was an engineer aboard a U.S. Navy ship. 227 00:12:42,430 --> 00:12:47,100 He was installing some instruments with Springs. 228 00:12:47,100 --> 00:12:50,200 One of those Springs got loose and started bouncing around, 229 00:12:50,200 --> 00:12:51,840 as if it had a life of its own. 230 00:12:51,840 --> 00:12:56,270 In that instant, James had an aha moment. 231 00:12:56,280 --> 00:13:00,880 He realized that that spring could be the basis of a toy. 232 00:13:00,880 --> 00:13:04,180 People in all walks of life have aha moments. 233 00:13:04,180 --> 00:13:07,690 They're sudden insights that confer a new perspective, 234 00:13:07,690 --> 00:13:09,550 a new way of looking at things. 235 00:13:12,660 --> 00:13:15,460 For 15 years, John and his colleagues 236 00:13:15,460 --> 00:13:18,030 have been studying these sudden genius insights, 237 00:13:18,030 --> 00:13:21,300 trying to find exactly what triggers them. 238 00:13:21,300 --> 00:13:25,400 But how do you study aha moments? 239 00:13:25,410 --> 00:13:29,370 Especially because they can happen anytime, anywhere... 240 00:13:29,380 --> 00:13:31,980 Getting coffee... 241 00:13:31,980 --> 00:13:34,880 Taking a walk... 242 00:13:34,880 --> 00:13:37,620 Even eating lunch. 243 00:13:40,420 --> 00:13:42,590 We started at the very moment of insight, 244 00:13:42,590 --> 00:13:44,690 when an idea pops into awareness, 245 00:13:44,690 --> 00:13:46,990 and we traced it backwards in time... 246 00:13:49,130 --> 00:13:52,200 to reveal all of the brain processes 247 00:13:52,200 --> 00:13:54,670 that led up to that very moment. 248 00:13:57,940 --> 00:13:59,600 You can have a seat here. 249 00:13:59,610 --> 00:14:01,410 Before he can rewind a mind, 250 00:14:01,410 --> 00:14:04,010 John captures moments of insight 251 00:14:04,010 --> 00:14:07,580 by using a challenging word association game. 252 00:14:07,580 --> 00:14:10,750 While tracking brain activity with an eeg, 253 00:14:10,750 --> 00:14:13,080 he shows subjects three words 254 00:14:13,090 --> 00:14:15,120 and gives them 15 seconds 255 00:14:15,120 --> 00:14:17,290 to say another word they have in common. 256 00:14:17,290 --> 00:14:19,690 Give it a try. 257 00:14:19,690 --> 00:14:22,630 Can you find the common word? 258 00:14:22,630 --> 00:14:24,300 Sun? 259 00:14:24,300 --> 00:14:27,400 How about this one? 260 00:14:27,400 --> 00:14:28,800 Fire. 261 00:14:28,800 --> 00:14:30,900 After each answer, 262 00:14:30,900 --> 00:14:32,240 the subject presses a button 263 00:14:32,240 --> 00:14:34,270 to indicate whether they got their answer 264 00:14:34,270 --> 00:14:36,140 from methodical analysis 265 00:14:36,140 --> 00:14:38,810 or from a sudden moment of insight. 266 00:14:38,810 --> 00:14:40,010 Sign? 267 00:14:41,820 --> 00:14:43,380 The results show 268 00:14:43,380 --> 00:14:45,780 that answers based on a Eureka moment 269 00:14:45,790 --> 00:14:50,660 are about 15% more accurate than those from methodical analysis. 270 00:14:53,130 --> 00:14:56,430 And the brain scans allow John to pinpoint 271 00:14:56,430 --> 00:15:00,770 where these aha moments originated. 272 00:15:00,770 --> 00:15:04,700 While analysis lights up the left side of the brain 273 00:15:04,700 --> 00:15:06,840 in the visual cortex, 274 00:15:06,840 --> 00:15:09,310 Eurekas come from the right side, 275 00:15:09,310 --> 00:15:12,810 in the right temporal lobe. 276 00:15:14,610 --> 00:15:16,180 At the moment of insight, 277 00:15:16,180 --> 00:15:18,080 there's a burst of what are called gamma waves. 278 00:15:18,080 --> 00:15:21,620 These are fast brain waves, about 40 per second, 279 00:15:21,620 --> 00:15:23,560 and that reflects the new idea 280 00:15:23,560 --> 00:15:26,190 or the solution popping into awareness. 281 00:15:30,460 --> 00:15:32,530 Now that John has mapped 282 00:15:32,530 --> 00:15:34,770 what a mental breakthrough looks like, 283 00:15:34,770 --> 00:15:39,800 he wants to find out if certain environments can foster them. 284 00:15:39,810 --> 00:15:43,170 So, before he starts the word game, 285 00:15:43,180 --> 00:15:45,640 some subjects watch a comedy show... 286 00:15:45,650 --> 00:15:49,880 He makes the other crazy people look not crazy. 287 00:15:53,550 --> 00:15:55,190 Aah! 288 00:15:55,190 --> 00:15:58,590 While others watch a scary movie. 289 00:15:58,590 --> 00:16:01,930 Can't work out why someone who's all superficial 290 00:16:01,930 --> 00:16:03,830 gets more popular when you mix... 291 00:16:03,830 --> 00:16:07,170 The comedic subjects not only got more right answers, 292 00:16:07,170 --> 00:16:10,500 but they also had a moment of insight more often 293 00:16:10,500 --> 00:16:12,740 than the people who were scared. 294 00:16:15,880 --> 00:16:18,680 Mood plays a very large role 295 00:16:18,680 --> 00:16:20,450 in whether you're open to aha moments, 296 00:16:20,450 --> 00:16:22,350 or you're thinking in analytical fashion. 297 00:16:22,350 --> 00:16:24,450 When you have a sense of threat, 298 00:16:24,450 --> 00:16:28,650 the scope of your attention narrows to what that threat is. 299 00:16:28,660 --> 00:16:30,090 Aah! 300 00:16:32,390 --> 00:16:34,630 When you're feeling happy, 301 00:16:34,630 --> 00:16:37,860 that means you're feeling safe, that there's no threat, 302 00:16:37,860 --> 00:16:41,000 and that gives the person a sense of freedom 303 00:16:41,000 --> 00:16:42,870 to explore long-shot ideas, 304 00:16:42,870 --> 00:16:44,740 which is the stuff of creativity. 305 00:16:44,740 --> 00:16:46,400 He's like the school kid 306 00:16:46,410 --> 00:16:49,010 who claims he knows karate but won't show you any moves. 307 00:16:49,010 --> 00:16:52,880 Inspiration needs the right state of mind. 308 00:16:52,880 --> 00:16:54,450 You can't force aha moments. 309 00:16:54,450 --> 00:16:55,810 They're like cats. 310 00:16:55,820 --> 00:16:59,380 You can coax them, but you can't command them. 311 00:16:59,390 --> 00:17:01,620 But you can create conditions 312 00:17:01,620 --> 00:17:05,220 that make aha moments possible or more likely. 313 00:17:05,230 --> 00:17:07,790 In fact, John's research 314 00:17:07,790 --> 00:17:11,660 has discovered several other Eureka dos and don'ts. 315 00:17:11,670 --> 00:17:16,770 A room painted blue or green is inspirational. 316 00:17:16,770 --> 00:17:20,640 But the brain sees a red room as a threat 317 00:17:20,640 --> 00:17:22,740 and narrows its thinking. 318 00:17:22,740 --> 00:17:27,410 A Russian river and puppies are good for Eureka. 319 00:17:27,410 --> 00:17:30,250 But loud sounds, being nagged, 320 00:17:30,250 --> 00:17:34,490 and deadlines are inspiration killers. 321 00:17:34,490 --> 00:17:36,350 Anyone can have an aha moment. 322 00:17:36,360 --> 00:17:39,190 It's part of what distinguishes human beings 323 00:17:39,190 --> 00:17:40,990 as creative thinkers. 324 00:17:40,990 --> 00:17:45,100 The trick is to create the right circumstances, 325 00:17:45,100 --> 00:17:48,400 the right environment to maximize them. 326 00:17:50,670 --> 00:17:51,970 It's too bad we live 327 00:17:51,970 --> 00:17:56,410 in a noisy, distraction-filled world. 328 00:17:56,410 --> 00:17:57,910 But one scientist has found a way 329 00:17:57,910 --> 00:18:00,750 to turn noise to our advantage. 330 00:18:00,750 --> 00:18:03,410 Not to distract us... - Are you ready? 331 00:18:03,420 --> 00:18:07,120 But to move our brains closer to genius. 332 00:18:11,640 --> 00:18:15,810 The great piano virtuoso Glenn gould had 333 00:18:15,810 --> 00:18:18,010 many strange habits. 334 00:18:18,010 --> 00:18:20,780 For one, he always hummed when he played. 335 00:18:20,780 --> 00:18:23,350 And when he studied music, 336 00:18:23,350 --> 00:18:27,820 he did so to the accompaniment of several tvs and radios 337 00:18:27,820 --> 00:18:31,090 all blaring at full volume. 338 00:18:31,090 --> 00:18:33,960 It was an eccentric technique, 339 00:18:33,960 --> 00:18:37,800 but gould may have been on to something. 340 00:18:37,800 --> 00:18:40,000 There is new evidence that noise, 341 00:18:40,000 --> 00:18:43,370 instead of overwhelming or distracting us, 342 00:18:43,370 --> 00:18:47,710 might actually take us a step closer to genius. 343 00:18:52,820 --> 00:18:57,250 To most of us, noise is a nuisance, 344 00:18:57,250 --> 00:18:59,420 something we try to escape. 345 00:18:59,420 --> 00:19:02,590 But not neuroscientist Roi Cohen Kadosh. 346 00:19:05,030 --> 00:19:08,060 In our everyday life, there is sometimes a lot of noise 347 00:19:08,060 --> 00:19:10,230 like here at the construction site, 348 00:19:10,230 --> 00:19:12,070 but the noise that I'm using is 349 00:19:12,070 --> 00:19:15,240 quite different than the noise that you hear here. 350 00:19:15,240 --> 00:19:18,840 So why we won't we go to somewhere quieter 351 00:19:18,840 --> 00:19:22,710 where I can explain to you? 352 00:19:22,710 --> 00:19:25,410 At his lab at the university of Oxford, 353 00:19:25,410 --> 00:19:28,580 Roi is injecting noise directly into human brains 354 00:19:28,580 --> 00:19:31,520 to try to make people smarter. 355 00:19:31,520 --> 00:19:34,620 Noise can be distracting, 356 00:19:34,620 --> 00:19:35,860 but when we use 357 00:19:35,860 --> 00:19:38,530 the certain level of white noise, 358 00:19:38,530 --> 00:19:41,660 it can actually really improve cognitive 359 00:19:41,660 --> 00:19:44,160 and learning capacities. 360 00:19:47,000 --> 00:19:48,940 White noise... 361 00:19:48,940 --> 00:19:52,070 Rivers naturally produce it. 362 00:19:54,280 --> 00:19:56,580 It helps people sleep. 363 00:19:56,580 --> 00:19:59,980 We even have apps for it. 364 00:19:59,980 --> 00:20:02,550 Roi theorizes that a very specific kind 365 00:20:02,550 --> 00:20:05,290 of white noise can actually supercharge 366 00:20:05,290 --> 00:20:07,920 our cognitive abilities. 367 00:20:07,920 --> 00:20:09,990 It's based on very complicated ideas 368 00:20:09,990 --> 00:20:12,360 that is called stochastic resonance. 369 00:20:12,360 --> 00:20:14,900 When you add just the right amount of white noise 370 00:20:14,900 --> 00:20:16,830 to a very weak signal, 371 00:20:16,830 --> 00:20:19,430 some of the frequencies in the white noise match 372 00:20:19,440 --> 00:20:21,000 those in the signal 373 00:20:21,000 --> 00:20:23,600 and resonate with them, boosting the signal. 374 00:20:23,610 --> 00:20:26,470 This stochastic resonance can work 375 00:20:26,480 --> 00:20:30,740 with any type of noise in sound or vision. 376 00:20:30,750 --> 00:20:32,580 So you have a picture here, 377 00:20:32,580 --> 00:20:35,750 but you really cannot detect reliably, 378 00:20:35,750 --> 00:20:38,550 "what is it in this picture?" 379 00:20:38,550 --> 00:20:41,620 Can you make out what this is? 380 00:20:41,620 --> 00:20:43,990 If you're going to add white noise 381 00:20:43,990 --> 00:20:47,160 at a certain level, you're going to see 382 00:20:47,160 --> 00:20:49,930 that it is the Big Ben. 383 00:20:49,930 --> 00:20:52,870 Now if you're going to add too much noise to that, 384 00:20:52,870 --> 00:20:55,840 it's not going to be any more beneficial. 385 00:20:55,840 --> 00:20:59,110 So, the noise needs to be at a certain level. 386 00:20:59,110 --> 00:21:01,480 Too much noise or too little noise... 387 00:21:01,480 --> 00:21:04,280 Not going to improve your ability. 388 00:21:04,280 --> 00:21:07,280 Neuroscientists have shown that individual neurons 389 00:21:07,280 --> 00:21:11,490 use stochastic resonance to boost weak signals. 390 00:21:11,490 --> 00:21:14,790 So, Roi decided to try it out on a whole mind 391 00:21:14,790 --> 00:21:19,490 by adding electrical noise to his subjects' brains. 392 00:21:19,500 --> 00:21:23,130 Hello, Michael. Please, take a seat. 393 00:21:23,130 --> 00:21:24,900 Roi designed a test that delivers 394 00:21:24,900 --> 00:21:27,270 a targeted burst of electrical noise 395 00:21:27,270 --> 00:21:30,140 to a specific area of a subject's brain, 396 00:21:30,140 --> 00:21:34,140 the dorsolateral prefrontal cortex. 397 00:21:34,140 --> 00:21:37,680 This region plays a key role in problem solving 398 00:21:37,680 --> 00:21:42,950 and is also heavily connected to other parts of the brain. 399 00:21:42,950 --> 00:21:45,820 The idea behind it is that adding noise 400 00:21:45,820 --> 00:21:49,360 will increase firing of brain cells 401 00:21:49,360 --> 00:21:52,390 and therefore will lead to changes in their brain cells. 402 00:21:56,630 --> 00:21:58,100 - Are you ready? - I'm ready, yeah. 403 00:21:58,100 --> 00:21:59,600 Okay. Great. 404 00:21:59,600 --> 00:22:01,640 For 30 minutes, the subject plays 405 00:22:01,640 --> 00:22:05,210 a specially designed video game where the player solves 406 00:22:05,210 --> 00:22:09,210 a series of cognitive challenges in a robot factory. 407 00:22:12,180 --> 00:22:13,750 While this is happening, 408 00:22:13,750 --> 00:22:15,980 through two electrodes on the scalp, 409 00:22:15,990 --> 00:22:19,220 the device floods the brain... Painlessly... 410 00:22:19,220 --> 00:22:21,720 With electrical white noise. 411 00:22:21,720 --> 00:22:25,090 A separate control group also plays the same game 412 00:22:25,090 --> 00:22:29,500 wearing the same cap but with no stimulation. 413 00:22:29,500 --> 00:22:30,530 Once it's finished, 414 00:22:30,530 --> 00:22:33,000 we repeat this procedure multiple days, 415 00:22:33,000 --> 00:22:35,540 and eventually we assess 416 00:22:35,540 --> 00:22:39,870 how much did they change in their abilities. 417 00:22:39,880 --> 00:22:43,480 We found that they learn faster and better compared 418 00:22:43,480 --> 00:22:46,680 to those who receive placebo stimulation. 419 00:22:49,790 --> 00:22:52,090 Roi believes the white noise stimulates 420 00:22:52,090 --> 00:22:55,120 all the electrical systems across the brain 421 00:22:55,120 --> 00:22:57,590 and wakes them up. 422 00:23:00,160 --> 00:23:04,030 The supercharged brains improved in both the short 423 00:23:04,030 --> 00:23:06,570 and long term. 424 00:23:06,570 --> 00:23:07,830 Half a year later, 425 00:23:07,840 --> 00:23:10,570 when Roi tested the subjects again, 426 00:23:10,570 --> 00:23:14,240 he discovered the mental improvements were still there. 427 00:23:14,240 --> 00:23:16,880 This breakthrough technique could also push us 428 00:23:16,880 --> 00:23:19,050 one step closer to genius. 429 00:23:21,050 --> 00:23:22,550 Imagine one day being able 430 00:23:22,550 --> 00:23:25,790 to supercharge any part of your brain... 431 00:23:27,820 --> 00:23:30,720 And become a genius at any task. 432 00:23:30,730 --> 00:23:35,530 The idea in the past was that we are born, 433 00:23:35,530 --> 00:23:39,030 and we're going to be genius or not. 434 00:23:39,030 --> 00:23:42,600 But now we know that our brain is more plastic. 435 00:23:42,610 --> 00:23:44,710 We can change it. 436 00:23:44,710 --> 00:23:48,140 Where can it go? It's a $1 million question. 437 00:23:51,210 --> 00:23:53,780 We're already beginning to use technology 438 00:23:53,780 --> 00:23:57,450 to supercharge our neural pathways. 439 00:23:57,450 --> 00:23:59,620 But there's another way we might unleash 440 00:23:59,620 --> 00:24:02,790 the hidden genius in our minds, 441 00:24:02,790 --> 00:24:04,960 if we dare. 442 00:24:04,960 --> 00:24:09,030 We could tinker with our brain's basic biology. 443 00:24:14,230 --> 00:24:19,060 To solve any problem, you have to get from "a" to "b." 444 00:24:19,070 --> 00:24:22,300 The trouble is, in real life, 445 00:24:22,300 --> 00:24:26,000 there are so many paths to choose from, 446 00:24:26,010 --> 00:24:29,670 and most of them lead to dead ends. 447 00:24:29,680 --> 00:24:33,250 Only a genius can remember every single turn 448 00:24:33,250 --> 00:24:36,720 that led to a blind alley 449 00:24:36,720 --> 00:24:40,220 and which moved them toward their goal. 450 00:24:40,220 --> 00:24:45,020 But what if we could engineer our brains to remember far more? 451 00:24:45,030 --> 00:24:47,430 We'd have perspective to see the bigger picture 452 00:24:47,430 --> 00:24:50,360 and see the path to genius. 453 00:24:55,740 --> 00:24:59,910 John Georgiou, a neuroscience researcher in Toronto, 454 00:24:59,910 --> 00:25:03,880 believes memory is vital to everything we do. 455 00:25:03,880 --> 00:25:06,410 Without memories, we can't do 456 00:25:06,410 --> 00:25:08,180 many of the basic functions, 457 00:25:08,180 --> 00:25:11,120 such as finding our way to work, 458 00:25:11,120 --> 00:25:14,450 recognizing familiar people, 459 00:25:14,450 --> 00:25:17,620 learning to do tasks. 460 00:25:17,620 --> 00:25:19,620 Without memories and learning, 461 00:25:19,630 --> 00:25:23,430 we're essentially unable to function in daily life. 462 00:25:24,670 --> 00:25:27,430 But John also believes we have the power 463 00:25:27,430 --> 00:25:31,900 to make our memories better through genetic engineering. 464 00:25:31,910 --> 00:25:37,510 We have systematically tried to manipulate the genes 465 00:25:37,510 --> 00:25:40,910 that we feel are important in learning and memory. 466 00:25:40,910 --> 00:25:46,550 In theory, we can all become genius 467 00:25:46,550 --> 00:25:50,520 if we were to make modifications 468 00:25:50,520 --> 00:25:54,730 in the way our brain works. 469 00:25:54,730 --> 00:25:57,800 To understand and improve human memory, 470 00:25:57,800 --> 00:26:01,330 John starts small with mice. 471 00:26:01,340 --> 00:26:02,530 What we're trying to do here 472 00:26:02,540 --> 00:26:04,500 is to measure the learning 473 00:26:04,500 --> 00:26:07,440 and memory performance of the mice. 474 00:26:07,440 --> 00:26:09,340 So, what we do is we take a mouse, 475 00:26:09,340 --> 00:26:13,250 and we place it in a round, cylindrical pool of water. 476 00:26:13,250 --> 00:26:15,280 And the mouse has to find its way 477 00:26:15,280 --> 00:26:18,720 to a submerged, hidden platform. 478 00:26:20,350 --> 00:26:23,050 The mouse in John's test cannot see the platform 479 00:26:23,060 --> 00:26:26,930 because a non-toxic paint has been added to the water. 480 00:26:26,930 --> 00:26:29,490 The mouse's only means of orienting itself 481 00:26:29,500 --> 00:26:32,460 are visual cues hung on the walls. 482 00:26:34,770 --> 00:26:37,040 Overhead, a camera tracks 483 00:26:37,040 --> 00:26:38,570 the path the mouse takes, 484 00:26:38,570 --> 00:26:43,280 recording time, distance, and the path traveled. 485 00:26:43,280 --> 00:26:46,140 On the first trial, the mouse will take 486 00:26:46,150 --> 00:26:48,680 anywhere from 60 to 90 seconds 487 00:26:48,680 --> 00:26:50,780 to find the location of the escape platform 488 00:26:50,780 --> 00:26:54,720 because it's, essentially, a random process. 489 00:26:54,720 --> 00:26:57,360 But then, with each repeated trial, 490 00:26:57,360 --> 00:27:00,130 they get better at it. 491 00:27:00,130 --> 00:27:03,030 The more times the mice swim the maze, 492 00:27:03,030 --> 00:27:04,930 the better they remember the location 493 00:27:04,930 --> 00:27:06,530 of the hidden platform. 494 00:27:06,530 --> 00:27:10,270 But John wanted to speed up their learning process. 495 00:27:10,270 --> 00:27:13,100 He wanted to enhance the mice's memory 496 00:27:13,110 --> 00:27:16,370 so they would remember after only one try. 497 00:27:20,210 --> 00:27:23,380 The key for John was targeting the hippocampus, 498 00:27:23,380 --> 00:27:27,220 a part of the brain crucial to memory formation. 499 00:27:27,220 --> 00:27:30,460 As memories form, neurons send electrical 500 00:27:30,460 --> 00:27:33,390 and chemical signals back and forth 501 00:27:33,390 --> 00:27:38,330 until an enzyme called pde4b shuts down 502 00:27:38,330 --> 00:27:40,800 the signal between the neurons. 503 00:27:40,800 --> 00:27:43,670 No more communication means the window closes 504 00:27:43,670 --> 00:27:46,670 for building bigger, richer memories 505 00:27:46,670 --> 00:27:48,710 and the mouse can only focus 506 00:27:48,710 --> 00:27:52,880 on the water in front of its nose. 507 00:27:52,880 --> 00:27:55,310 So, John created a mutation 508 00:27:55,320 --> 00:27:58,020 in the gene for pde4b. 509 00:27:58,020 --> 00:28:02,350 The pde4b mutant mice that we created have a mutation 510 00:28:02,360 --> 00:28:04,290 that impairs the function of the enzyme, 511 00:28:04,290 --> 00:28:06,860 which results in neurons being able 512 00:28:06,860 --> 00:28:10,330 to communicate with each other for extended period of time 513 00:28:10,330 --> 00:28:13,500 and presumably this is what allows the mice 514 00:28:13,500 --> 00:28:16,370 to be better at encoding memories 515 00:28:16,370 --> 00:28:18,340 and recalling memories. 516 00:28:21,580 --> 00:28:24,980 The result was exactly what he expected. 517 00:28:24,980 --> 00:28:28,610 Where the non-mutant mice take up to 90 seconds 518 00:28:28,620 --> 00:28:30,120 to solve the maze, 519 00:28:30,120 --> 00:28:33,490 the mutant mice complete it in less than 30. 520 00:28:35,720 --> 00:28:37,220 The mutant mice were able 521 00:28:37,220 --> 00:28:40,160 to perform this task a lot better. 522 00:28:40,160 --> 00:28:43,600 They were faster and remembered the location 523 00:28:43,600 --> 00:28:45,760 of the escape platform much better. 524 00:28:45,770 --> 00:28:49,900 The mutant pde4b enzyme allows more time 525 00:28:49,900 --> 00:28:52,400 for the mice to build stronger memories. 526 00:28:52,410 --> 00:28:56,070 The mice get smarter. 527 00:28:56,080 --> 00:28:57,480 But mice aren't the only ones 528 00:28:57,480 --> 00:29:00,980 that can have their brains pushed past normal levels. 529 00:29:00,980 --> 00:29:05,280 Human brains also use the pde4b enzyme. 530 00:29:05,290 --> 00:29:10,160 If we were to mutate the pde4b gene in humans, 531 00:29:10,160 --> 00:29:14,490 it's possible that the same effect could be recreated. 532 00:29:14,490 --> 00:29:18,900 We believe that, yes, we can potentially improve 533 00:29:18,900 --> 00:29:21,170 cognitive function in humans. 534 00:29:24,370 --> 00:29:25,940 A stronger memory wouldn't 535 00:29:25,940 --> 00:29:29,440 just help us remember details like directions. 536 00:29:29,440 --> 00:29:32,180 It could give us a larger window of experience, 537 00:29:32,180 --> 00:29:34,510 leading to the kind of visionary genius 538 00:29:34,510 --> 00:29:39,050 that people like Steve Jobs or Jackson Pollock had, 539 00:29:39,050 --> 00:29:42,590 the ability to step back from the small details 540 00:29:42,590 --> 00:29:45,160 and see the big picture. 541 00:29:45,160 --> 00:29:49,190 The road to this type of visionary genius may come 542 00:29:49,200 --> 00:29:53,530 from directly tinkering with the biology of our brain. 543 00:29:53,530 --> 00:29:56,330 We are, indeed, getting closer to unlocking 544 00:29:56,340 --> 00:30:00,310 the key to genius inside of us. 545 00:30:00,310 --> 00:30:03,910 Will it be possible to take a pill and become genius? 546 00:30:03,910 --> 00:30:07,180 Theoretically, it is possible. 547 00:30:07,180 --> 00:30:10,620 Human brains have evolved over millions of years. 548 00:30:10,620 --> 00:30:12,320 We may soon be able to leap 549 00:30:12,320 --> 00:30:15,290 far beyond our evolutionary limits. 550 00:30:15,290 --> 00:30:17,460 But should we make that leap? 551 00:30:17,460 --> 00:30:20,690 Or is there a reason we're not all geniuses? 552 00:30:24,670 --> 00:30:28,410 Bigger, faster, smarter... 553 00:30:28,410 --> 00:30:30,840 Almost daily, science seems to promise 554 00:30:30,850 --> 00:30:34,550 a new kind of supercharged mind. 555 00:30:34,550 --> 00:30:37,180 Diets promise a burst of intelligence. 556 00:30:37,190 --> 00:30:41,790 Drugs promise to boost attention or memory. 557 00:30:41,790 --> 00:30:46,660 But if we do pop that pill, 558 00:30:46,660 --> 00:30:49,600 what might the consequences be? 559 00:30:49,600 --> 00:30:52,570 Instead of being a blessing, 560 00:30:52,570 --> 00:30:54,470 could genius be a curse? 561 00:30:59,010 --> 00:31:03,180 In Warwick, England, psychology professor Thomas Hills has come 562 00:31:03,180 --> 00:31:07,810 to the conclusion that genius is overrated. 563 00:31:07,820 --> 00:31:09,650 His local pub is the perfect place 564 00:31:09,650 --> 00:31:11,480 to demonstrate this. 565 00:31:15,560 --> 00:31:18,230 It's a complicated context... 566 00:31:18,230 --> 00:31:21,060 An environment that requires you to be able to choose beers, 567 00:31:21,060 --> 00:31:22,960 to be able to talk with different people. 568 00:31:22,970 --> 00:31:25,300 It's a challenging situation, 569 00:31:25,300 --> 00:31:28,670 and minds like ours are adapted for this kind of thing. 570 00:31:28,670 --> 00:31:30,900 We tend to think supercharged brains could 571 00:31:30,910 --> 00:31:32,610 only make us better. 572 00:31:32,610 --> 00:31:36,310 They'll help us deal with life's complex problems. 573 00:31:36,310 --> 00:31:38,480 But Thomas disagrees. 574 00:31:38,480 --> 00:31:40,850 His reason... evolution. 575 00:31:40,850 --> 00:31:43,720 So, there's this idea that more is better, right? 576 00:31:43,720 --> 00:31:46,390 More memory, more focus, more self-control, 577 00:31:46,390 --> 00:31:48,190 more willpower... 578 00:31:48,190 --> 00:31:49,560 But you have to realize 579 00:31:49,560 --> 00:31:52,760 that evolution's been sort of selecting 580 00:31:52,760 --> 00:31:54,830 for our minds for millions of years. 581 00:31:54,830 --> 00:31:57,200 And if those things were just good, 582 00:31:57,200 --> 00:31:59,470 why wouldn't we have minds like that already? 583 00:32:02,100 --> 00:32:03,570 Looking at the human mind 584 00:32:03,570 --> 00:32:05,640 through the lens of evolution explains 585 00:32:05,640 --> 00:32:08,510 why most of us aren't geniuses. 586 00:32:08,510 --> 00:32:11,210 In a complex and ever-changing environment, 587 00:32:11,210 --> 00:32:14,250 our minds don't need to be exceptional. 588 00:32:14,250 --> 00:32:16,020 They need to find the right balance 589 00:32:16,020 --> 00:32:18,620 between accuracy and speed. 590 00:32:18,620 --> 00:32:20,390 So, evolution has to pay attention 591 00:32:20,390 --> 00:32:23,890 to both how quickly we want to be able to do things 592 00:32:23,890 --> 00:32:25,360 as well as how accurately 593 00:32:25,360 --> 00:32:26,890 we want to be able to do things. 594 00:32:26,900 --> 00:32:28,630 And a dart game is a good analogy 595 00:32:28,630 --> 00:32:30,330 for this kind of problem. 596 00:32:32,570 --> 00:32:35,070 You can see, first, I'm trying to be fairly accurate. 597 00:32:35,070 --> 00:32:37,940 But as I increase my speed, 598 00:32:37,940 --> 00:32:39,640 I start to lose that accuracy. 599 00:32:39,640 --> 00:32:41,410 So, this represents that balance 600 00:32:41,410 --> 00:32:44,480 between being focused and taking your time 601 00:32:44,480 --> 00:32:48,280 and being too fast and throwing too many things, 602 00:32:48,280 --> 00:32:49,480 maybe in the wrong directions. 603 00:32:54,820 --> 00:32:56,990 Our brains have been guided by evolution 604 00:32:56,990 --> 00:32:59,430 to be pretty good at many things, 605 00:32:59,430 --> 00:33:02,530 not geniuses at one thing. 606 00:33:02,530 --> 00:33:04,400 Our mental limits in any one area 607 00:33:04,400 --> 00:33:06,470 are all too apparent. 608 00:33:06,470 --> 00:33:07,800 Take our memories. 609 00:33:07,800 --> 00:33:08,900 Hey, everybody. 610 00:33:08,900 --> 00:33:10,300 - Hi. - Hi. 611 00:33:10,310 --> 00:33:11,710 Want to play a pub game? 612 00:33:11,710 --> 00:33:13,410 - Yeah. Yeah. - Yeah. 613 00:33:13,410 --> 00:33:15,210 All right, so, in this game, 614 00:33:15,210 --> 00:33:18,310 I'm gonna give you a category, and you say all the items 615 00:33:18,310 --> 00:33:20,850 from that category you can think of. 616 00:33:20,850 --> 00:33:22,750 Thomas is giving what's called 617 00:33:22,750 --> 00:33:26,120 a semantic fluency test to some of his students. 618 00:33:26,120 --> 00:33:28,090 It measures verbal memory. 619 00:33:28,090 --> 00:33:30,960 Jay, your category is occupations. 620 00:33:30,960 --> 00:33:34,690 Go. - Doctor, lawyer, barman, 621 00:33:34,700 --> 00:33:37,560 cleaner, plumber, electrician... 622 00:33:37,570 --> 00:33:39,470 Clinicians use this test 623 00:33:39,470 --> 00:33:40,800 to measure brain health. 624 00:33:40,800 --> 00:33:42,500 Extra, actor... 625 00:33:42,500 --> 00:33:45,040 Everyone has 60 seconds. 626 00:33:45,040 --> 00:33:46,310 Window cleaner... 627 00:33:46,310 --> 00:33:48,780 But most start to stumble a lot earlier. 628 00:33:48,780 --> 00:33:50,340 Jar filler. 629 00:33:52,680 --> 00:33:54,450 Um... 630 00:33:54,450 --> 00:33:56,950 We may know hundreds of professions, 631 00:33:56,950 --> 00:34:01,090 but most people can only recall about 10 to 20 in a minute. 632 00:34:01,090 --> 00:34:04,220 Not all of our memory is instantly available. 633 00:34:04,230 --> 00:34:05,760 I saw the jars on the... 634 00:34:05,760 --> 00:34:07,790 But what if it was? 635 00:34:08,860 --> 00:34:11,770 Polar bear, mouse, lion... 636 00:34:11,770 --> 00:34:14,130 What if every animal you ever learned was 637 00:34:14,140 --> 00:34:16,570 right there at the tip of your tongue? 638 00:34:16,570 --> 00:34:20,510 Tiger, horse, snake, alligator, dog, squirrel... 639 00:34:20,510 --> 00:34:22,410 Let's suppose you had a perfect memory. 640 00:34:22,410 --> 00:34:23,710 Do you want to remember 641 00:34:23,710 --> 00:34:26,080 every blade of grass you've ever seen? 642 00:34:26,080 --> 00:34:27,850 Do you want to remember every slight 643 00:34:27,850 --> 00:34:29,820 you've ever experienced in your life, 644 00:34:29,820 --> 00:34:31,080 every breakup, 645 00:34:31,090 --> 00:34:33,150 every time you've ever stubbed your toe? 646 00:34:33,160 --> 00:34:36,090 How well do you want to remember those things? 647 00:34:36,090 --> 00:34:37,190 What may seem at first 648 00:34:37,190 --> 00:34:38,790 like a superpower... 649 00:34:38,790 --> 00:34:41,860 Might quickly become a curse. 650 00:34:41,860 --> 00:34:44,630 You could remember everything you've ever experienced, 651 00:34:44,630 --> 00:34:46,100 and that might make it more difficult 652 00:34:46,100 --> 00:34:47,900 to learn new things, right? 653 00:34:47,900 --> 00:34:50,800 In some sense, forgetting helps you learn new contexts 654 00:34:50,810 --> 00:34:54,270 and learn new ways to deal with new problems. 655 00:34:54,280 --> 00:34:57,210 Dog, cat, horse, spider... 656 00:34:57,210 --> 00:34:58,510 In other words, forgetting is 657 00:34:58,510 --> 00:35:03,120 just as important a mental skill as remembering. 658 00:35:03,120 --> 00:35:07,050 Uh, um... 659 00:35:07,060 --> 00:35:09,790 Thomas says it's critical to understand 660 00:35:09,790 --> 00:35:13,160 that our evolved brain is a system seeking balance, 661 00:35:13,160 --> 00:35:18,770 operating within limits in order to survive a complex world. 662 00:35:18,770 --> 00:35:22,370 Improving on what nature gave us may seem tempting, 663 00:35:22,370 --> 00:35:25,940 but the brain has taken millions of years to evolve. 664 00:35:25,940 --> 00:35:30,180 Supercharge one area, and you could upset the balance. 665 00:35:30,180 --> 00:35:32,950 Genius like Van gogh, Tesla, 666 00:35:32,950 --> 00:35:36,820 or mathematician John Nash had incredible minds 667 00:35:36,820 --> 00:35:40,290 but also struggled to connect to other people, 668 00:35:40,290 --> 00:35:42,060 understand society, 669 00:35:42,060 --> 00:35:45,120 or even experience deep emotions. 670 00:35:45,130 --> 00:35:47,830 So, there's sort of a mythology around genius, right, 671 00:35:47,830 --> 00:35:51,130 that it's kind of a... Potentially a curse. 672 00:35:51,130 --> 00:35:53,770 We see this in different types of individuals 673 00:35:53,770 --> 00:35:55,770 who've gained fame because they knew 674 00:35:55,770 --> 00:35:57,440 a lot of different kinds of things. 675 00:35:57,440 --> 00:35:59,570 But at the same time, they seemed somehow trapped 676 00:35:59,570 --> 00:36:02,480 in their own world, which presents problems 677 00:36:02,480 --> 00:36:06,410 for social activities, like hanging out in the pub. 678 00:36:06,410 --> 00:36:07,480 Thomas believes 679 00:36:07,480 --> 00:36:10,180 we should celebrate our limitations. 680 00:36:10,190 --> 00:36:12,590 What we call genius might be 681 00:36:12,590 --> 00:36:15,320 a mind that's overdeveloped in one area 682 00:36:15,320 --> 00:36:16,890 and deficient in another. 683 00:36:16,890 --> 00:36:21,560 So, having a super mind is an interesting kind of question. 684 00:36:21,560 --> 00:36:24,960 As soon as you start to unpack what "super mind" means, 685 00:36:24,970 --> 00:36:28,640 you start to realize maybe it's not such a good idea after all. 686 00:36:28,640 --> 00:36:30,200 But their might be a way to break through 687 00:36:30,210 --> 00:36:31,800 our mental limitations 688 00:36:31,810 --> 00:36:35,110 without paying the social and emotional price. 689 00:36:35,110 --> 00:36:39,610 Technology may soon artificially expand the brain, 690 00:36:39,610 --> 00:36:42,020 link all of our minds together, 691 00:36:42,020 --> 00:36:45,080 and show us the path to true genius. 692 00:36:47,920 --> 00:36:50,220 One of my favorite memories is 693 00:36:50,230 --> 00:36:54,530 the taste of my grandmother's iced tea. 694 00:36:54,530 --> 00:36:58,470 But how many memories are now beyond retrieval? 695 00:36:58,470 --> 00:37:00,900 My classmates' names, books I read, 696 00:37:00,900 --> 00:37:03,670 movies I saw decades ago. 697 00:37:03,670 --> 00:37:06,240 The human brain can't... 698 00:37:06,240 --> 00:37:10,110 Shouldn't fit all of life's experiences. 699 00:37:10,110 --> 00:37:14,720 But perhaps there's a way to beat our evolutionary limits. 700 00:37:14,720 --> 00:37:19,690 Imagine off-loading most of our memories, 701 00:37:19,690 --> 00:37:22,520 accessing them only when needed. 702 00:37:22,520 --> 00:37:24,560 And why stop there? 703 00:37:24,560 --> 00:37:28,900 You could have all of mankind's knowledge on tap. 704 00:37:28,900 --> 00:37:33,900 Our collective minds could make us all geniuses. 705 00:37:35,900 --> 00:37:38,870 Mmm. 706 00:37:38,870 --> 00:37:41,680 Dr. Ted berger is a biomedical engineer 707 00:37:41,680 --> 00:37:45,810 who's trying to push the brain past its limits. 708 00:37:45,810 --> 00:37:48,550 We very often in science pay attention 709 00:37:48,550 --> 00:37:50,520 to how brains break down, 710 00:37:50,520 --> 00:37:52,150 but we don't often pay attention 711 00:37:52,150 --> 00:37:54,550 to how we can accelerate brain function, 712 00:37:54,560 --> 00:37:57,960 how we can make brain function above normal. 713 00:37:57,960 --> 00:38:01,700 His lab at the university of Southern California 714 00:38:01,700 --> 00:38:04,130 is developing a way to load digital memories 715 00:38:04,130 --> 00:38:07,230 into our biological brains. 716 00:38:07,240 --> 00:38:09,300 His first hope is to help repair brains 717 00:38:09,310 --> 00:38:11,910 that have trouble retaining memories. 718 00:38:11,910 --> 00:38:14,510 But his research may give us all a way 719 00:38:14,510 --> 00:38:17,740 to become digitally-enhanced geniuses. 720 00:38:23,220 --> 00:38:25,450 Ted's first step was 721 00:38:25,450 --> 00:38:28,660 to understand how the brain stores memories. 722 00:38:28,660 --> 00:38:30,890 This storage facility could represent 723 00:38:30,890 --> 00:38:33,490 the process by which short-term memories 724 00:38:33,500 --> 00:38:35,260 become long-term memories. 725 00:38:37,370 --> 00:38:39,800 When the brain receives new information, 726 00:38:39,800 --> 00:38:42,500 it comes first to short-term memory, 727 00:38:42,500 --> 00:38:43,870 like when a building receives 728 00:38:43,870 --> 00:38:45,870 a package on its loading dock. 729 00:38:48,140 --> 00:38:50,280 A part of the brain called the hippocampus 730 00:38:50,280 --> 00:38:53,710 then scans and categorizes the item, 731 00:38:53,720 --> 00:38:56,620 like this memory of Ted and his daughter, 732 00:38:56,620 --> 00:38:59,690 so it can be sent to long-term storage. 733 00:39:01,920 --> 00:39:03,820 What the hippocampus does is 734 00:39:03,830 --> 00:39:05,830 to pick up these short-term memories 735 00:39:05,830 --> 00:39:09,760 and move them from the loading dock 736 00:39:09,770 --> 00:39:11,430 to the right floor 737 00:39:11,430 --> 00:39:13,230 and the right location. 738 00:39:17,710 --> 00:39:20,640 But if the hippocampus doesn't do its job right, 739 00:39:20,640 --> 00:39:24,040 this memory-storage system can go haywire. 740 00:39:24,050 --> 00:39:28,850 Memories can be misfiled or not created at all. 741 00:39:28,850 --> 00:39:32,190 If the hippocampus were malfunctioning, 742 00:39:32,190 --> 00:39:36,060 then the new information that's on the loading dock 743 00:39:36,060 --> 00:39:39,890 may not get delivered to the right location. 744 00:39:39,900 --> 00:39:42,200 It might even go in the right door 745 00:39:42,200 --> 00:39:45,600 but not all of the memory made it to the door. 746 00:39:49,970 --> 00:39:51,540 Ted is trying to work out 747 00:39:51,540 --> 00:39:54,780 how the hippocampus actually stores memories 748 00:39:54,780 --> 00:39:58,910 so he can hack into the system electronically. 749 00:39:58,910 --> 00:40:01,850 When there's a memory that's generated by the brain, 750 00:40:01,850 --> 00:40:05,390 it involves literally hundreds if not thousands of cells. 751 00:40:05,390 --> 00:40:08,720 And each cell generates a series of pulses. 752 00:40:08,720 --> 00:40:12,230 So, we're actually seeing the memory codes 753 00:40:12,230 --> 00:40:14,390 that are generated by this part of the brain. 754 00:40:15,930 --> 00:40:17,330 With a set of electrodes implanted 755 00:40:17,330 --> 00:40:20,270 in the hippocampus of volunteer patients, 756 00:40:20,270 --> 00:40:23,270 Ted is beginning to decipher how our brains turn 757 00:40:23,270 --> 00:40:26,570 short-term memories into coded form 758 00:40:26,580 --> 00:40:30,710 so that they can be stored as long-term memories. 759 00:40:30,710 --> 00:40:32,550 We ask the patients to look at a picture, 760 00:40:32,550 --> 00:40:37,320 and we can read the code for the picture. 761 00:40:37,320 --> 00:40:39,520 And that means that we could generate, 762 00:40:39,520 --> 00:40:41,820 ourselves, the code 763 00:40:41,820 --> 00:40:43,760 and put it back into the brain. 764 00:40:43,760 --> 00:40:46,730 Having cracked the long-term memory code, 765 00:40:46,730 --> 00:40:49,930 Ted can now use a microchip to send memories 766 00:40:49,930 --> 00:40:53,030 directly into our brain's permanent storage. 767 00:40:56,370 --> 00:40:59,370 Human trials have already begun in patients suffering 768 00:40:59,370 --> 00:41:02,080 from memory loss due to epilepsy 769 00:41:02,080 --> 00:41:05,080 and for soldiers dealing with brain trauma. 770 00:41:05,080 --> 00:41:07,210 But the implications of Ted's breakthrough 771 00:41:07,220 --> 00:41:10,150 could be far greater for humanity 772 00:41:10,150 --> 00:41:12,190 and our quest for genius. 773 00:41:14,220 --> 00:41:17,760 If we can hack into our brains' memory-coding system, 774 00:41:17,760 --> 00:41:20,290 there's no limit to which memories 775 00:41:20,300 --> 00:41:23,330 or whose memories we could access. 776 00:41:26,800 --> 00:41:29,540 It may be possible to take memories 777 00:41:29,540 --> 00:41:31,140 from one organism 778 00:41:31,140 --> 00:41:34,140 and put them into the brain of another organism. 779 00:41:34,140 --> 00:41:37,040 And to a certain extent, that's been shown already. 780 00:41:37,050 --> 00:41:39,750 We can imagine sharing those memories 781 00:41:39,750 --> 00:41:43,250 in such a way that genius evolves 782 00:41:43,250 --> 00:41:44,890 not from an individual 783 00:41:44,890 --> 00:41:48,090 but from a collective set of memories. 784 00:41:48,090 --> 00:41:51,160 Our individual, biologically limited brains 785 00:41:51,160 --> 00:41:54,360 could have instant access to the collective wisdom 786 00:41:54,360 --> 00:41:56,800 of all of humanity. 787 00:41:56,800 --> 00:41:58,730 Thanks to this technology, 788 00:41:58,730 --> 00:42:01,230 the whole world can work together 789 00:42:01,240 --> 00:42:05,840 and think together to solve our biggest problems. 790 00:42:05,840 --> 00:42:09,140 Genius means more than just memory. 791 00:42:09,140 --> 00:42:11,080 Together, as a group, 792 00:42:11,080 --> 00:42:13,080 we might have a greater genius, 793 00:42:13,080 --> 00:42:14,450 a greater capability 794 00:42:14,450 --> 00:42:17,220 than we would have as individuals. 795 00:42:17,220 --> 00:42:20,890 We could really grow the capability for genius 796 00:42:20,890 --> 00:42:23,960 by collectively using our memories 797 00:42:23,960 --> 00:42:25,660 and our creativities. 798 00:42:28,830 --> 00:42:32,870 One day, we might no longer be prisoners 799 00:42:32,870 --> 00:42:34,300 to the inherited genetics 800 00:42:34,300 --> 00:42:38,470 and acts of happenstance that created our brains. 801 00:42:38,470 --> 00:42:42,340 Instead, technology and medicine will make us masters 802 00:42:42,340 --> 00:42:45,410 of all that we want to know. 803 00:42:45,410 --> 00:42:47,450 But even the smartest minds among us 804 00:42:47,450 --> 00:42:50,780 can't know everything that is to come. 805 00:42:50,790 --> 00:42:55,620 We always need to be able to change, to adapt. 806 00:42:55,620 --> 00:42:59,660 True genius is to never stop learning. 62077

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