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These are the user uploaded subtitles that are being translated: 1 00:00:13,496 --> 00:00:15,153 It creeps! 2 00:00:15,222 --> 00:00:18,363 It crawls! 3 00:00:18,432 --> 00:00:19,502 It's this big, blobby yellow thing. 4 00:00:21,228 --> 00:00:24,196 It's slime mold! 5 00:00:25,991 --> 00:00:30,582 A slithering shape-shifter like no other on this planet. 6 00:00:30,651 --> 00:00:32,273 AUDREY DUSSUTOUR It reminded us 7 00:00:32,342 --> 00:00:35,035 of this alien organism from a '50s movie 8 00:00:35,104 --> 00:00:36,726 that ate people. 9 00:00:36,795 --> 00:00:38,348 "The Blob"! 10 00:00:38,417 --> 00:00:42,835 This one-celled wonder has no brain. 11 00:00:42,904 --> 00:00:45,148 No brain, no organs, no neurons. 12 00:00:45,217 --> 00:00:46,460 Yet it's able to do some of the behaviors 13 00:00:46,529 --> 00:00:49,394 we normally associate with animals with brains. 14 00:00:49,463 --> 00:00:51,465 How does it solve a maze? 15 00:00:51,534 --> 00:00:52,500 It is amazing. 16 00:00:52,569 --> 00:00:54,813 Escape captivity? 17 00:00:54,882 --> 00:00:57,609 Compete for resources? 18 00:00:57,678 --> 00:01:01,337 Build efficient networks? 19 00:01:01,406 --> 00:01:04,236 You start to think, does this organism 20 00:01:04,305 --> 00:01:05,789 possess intelligence? 21 00:01:05,858 --> 00:01:08,344 All of these are fundamental components 22 00:01:08,413 --> 00:01:09,552 to being smart. 23 00:01:09,621 --> 00:01:11,209 No brain? 24 00:01:11,278 --> 00:01:12,382 No problem. 25 00:01:12,451 --> 00:01:14,108 Clearly now, we see 26 00:01:14,177 --> 00:01:16,524 that this can be done by one cell. 27 00:01:16,593 --> 00:01:18,837 Can this ancient organism shed new light 28 00:01:18,906 --> 00:01:21,874 on the evolutionary origins of intelligence? 29 00:01:21,943 --> 00:01:25,188 We can think of them as how intelligence started 30 00:01:25,257 --> 00:01:26,396 way back. 31 00:01:26,465 --> 00:01:29,882 "The Secret Mind of Slime," 32 00:01:29,951 --> 00:01:32,299 next, on "NOVA." 33 00:01:42,240 --> 00:01:45,726 Lurking in the forest's shadowy undergrowth 34 00:01:45,795 --> 00:01:48,591 lies an unlikely predator. 35 00:01:48,660 --> 00:01:53,596 It creeps along, stalking its prey. 36 00:01:53,665 --> 00:01:57,600 Yet it is not an animal. 37 00:01:57,669 --> 00:02:02,398 It has a fondness for dark, humid places, 38 00:02:02,467 --> 00:02:04,227 yet it is not a fungus 39 00:02:04,296 --> 00:02:07,886 nor a plant. 40 00:02:07,955 --> 00:02:11,959 It's a single-celled organism, 41 00:02:12,028 --> 00:02:13,995 but not a bacterium. 42 00:02:16,032 --> 00:02:20,726 It's known as slime mold. 43 00:02:20,795 --> 00:02:24,005 It has no eyes, no mouth, no stomach, 44 00:02:24,074 --> 00:02:25,731 no legs. 45 00:02:25,800 --> 00:02:28,458 Yet it can "see," "smell," 46 00:02:28,527 --> 00:02:30,253 and move around 47 00:02:30,322 --> 00:02:33,498 through its pulsating network of veins, 48 00:02:33,567 --> 00:02:36,294 gorging itself on bacteria, 49 00:02:36,363 --> 00:02:37,950 fungi, 50 00:02:38,019 --> 00:02:39,711 yeasts, 51 00:02:39,780 --> 00:02:44,888 and growing exponentially. 52 00:02:44,957 --> 00:02:48,961 This strange yet humble creature holds secrets that have 53 00:02:49,030 --> 00:02:52,862 biologists, neuroscientists, and mathematicians 54 00:02:52,931 --> 00:02:55,313 scratching their heads. 55 00:02:55,382 --> 00:02:59,558 Because this organism, without a brain or a nervous system, 56 00:02:59,627 --> 00:03:02,699 seems capable of making choices, 57 00:03:02,768 --> 00:03:05,185 solving complex problems, 58 00:03:05,254 --> 00:03:09,050 and devising strategies. 59 00:03:09,119 --> 00:03:12,951 And it is forcing scientists to rethink intelligence 60 00:03:13,020 --> 00:03:19,578 as something that does not imply a need for a brain. 61 00:03:27,552 --> 00:03:31,418 Tanya Latty is a researcher at the University of Sydney 62 00:03:31,487 --> 00:03:33,937 who studies slime mold. 63 00:03:34,006 --> 00:03:36,285 You can find slime mold all over the place. 64 00:03:36,354 --> 00:03:38,390 They're in leaf litter, they're in the soil, 65 00:03:38,459 --> 00:03:40,358 they're on bits of wood. 66 00:03:40,427 --> 00:03:44,707 They're small structures that almost look like mushrooms. 67 00:03:44,776 --> 00:03:49,332 Not only is Tanya an expert on slime mold, 68 00:03:49,401 --> 00:03:52,128 she's one of its biggest fans. 69 00:03:52,197 --> 00:03:53,819 How could you not love them? 70 00:03:53,888 --> 00:03:56,477 It's this big, blobby, yellow thing, you know, 71 00:03:56,546 --> 00:03:58,030 it's just fundamentally cool. 72 00:03:58,099 --> 00:03:59,515 I stand by that! 73 00:03:59,584 --> 00:04:02,138 "Slime Mold Identification and Appreciation." 74 00:04:02,207 --> 00:04:04,416 There it is. 75 00:04:04,485 --> 00:04:05,900 She even follows them on Facebook. 76 00:04:05,969 --> 00:04:07,074 The spores are gorgeous. 77 00:04:07,143 --> 00:04:08,800 They're, they're beautiful. 78 00:04:11,941 --> 00:04:14,392 The slime molds might be one of the most abundant things 79 00:04:14,461 --> 00:04:16,325 in the soil. 80 00:04:16,394 --> 00:04:19,914 There are spores everywhere. 81 00:04:22,054 --> 00:04:23,090 Biologists have puzzled 82 00:04:23,159 --> 00:04:25,782 over where exactly this creature fits 83 00:04:25,851 --> 00:04:28,337 into the great tree of life. 84 00:04:28,406 --> 00:04:31,029 Slime molds branched off from that tree 85 00:04:31,098 --> 00:04:35,309 before the plants, the fungi, and the animals. 86 00:04:35,378 --> 00:04:38,416 They're single-celled organisms, but the type of cell they have 87 00:04:38,485 --> 00:04:41,315 is quite different from bacteria. 88 00:04:41,384 --> 00:04:44,974 There's at least 900 different species of slime mold 89 00:04:45,043 --> 00:04:46,286 that we know about, 90 00:04:46,355 --> 00:04:48,322 and that number is probably a massive underestimate. 91 00:04:50,807 --> 00:04:52,637 The slime mold most people think about 92 00:04:52,706 --> 00:04:54,535 is Physarum polycephalum. 93 00:04:54,604 --> 00:04:57,193 It's bright yellow, it grows really fast, 94 00:04:57,262 --> 00:04:59,195 and it's become kind of our lab rat 95 00:04:59,264 --> 00:05:00,369 most scientists are studying, 96 00:05:00,438 --> 00:05:02,336 probably because it's the easiest one 97 00:05:02,405 --> 00:05:04,338 to grow in the lab. 98 00:05:06,616 --> 00:05:10,931 Some of them have great names, like the Dog's Vomit. 99 00:05:11,000 --> 00:05:15,798 They also come in reds and grays and browns and white. 100 00:05:19,008 --> 00:05:23,150 Tanya was a latecomer to slime mold research. 101 00:05:23,219 --> 00:05:28,155 She began her career studying the behavior of insects. 102 00:05:28,224 --> 00:05:29,501 I'm an entomologist by training. 103 00:05:29,570 --> 00:05:31,158 I work with ants, 104 00:05:31,227 --> 00:05:35,196 bees, and other invertebrates. 105 00:05:37,716 --> 00:05:39,235 But ten years ago, 106 00:05:39,304 --> 00:05:42,618 while researching bees at Hokkaido University, 107 00:05:42,687 --> 00:05:47,312 she had a chance encounter with slime mold 108 00:05:47,381 --> 00:05:50,971 through one of the most respected experts in the field: 109 00:05:51,040 --> 00:05:54,250 Professor Toshiyuki Nakagaki. 110 00:05:56,252 --> 00:06:01,291 Slime mold is a serious subject of study in Japan, 111 00:06:01,361 --> 00:06:06,262 one going back generations. 112 00:06:06,331 --> 00:06:07,677 The Emperor Hirohito himself 113 00:06:07,746 --> 00:06:09,541 was a learned biologist 114 00:06:09,610 --> 00:06:14,581 who established a taxonomy of slime mold, 115 00:06:14,650 --> 00:06:18,274 and even discovered a new species of the organism. 116 00:06:18,343 --> 00:06:22,761 In my research, I focus on this single, simple cell 117 00:06:22,830 --> 00:06:27,904 through the disciplines of physics and math. 118 00:06:27,973 --> 00:06:29,458 I was able to see how he was doing things 119 00:06:29,527 --> 00:06:32,875 and learn a little bit about the slime mold. 120 00:06:32,944 --> 00:06:34,911 Toshiyuki had been studying 121 00:06:34,980 --> 00:06:36,775 how this curious organism would react 122 00:06:36,844 --> 00:06:42,402 when faced with a challenge traditionally posed to animals. 123 00:06:44,127 --> 00:06:46,440 He did some of the first really awesome experiments 124 00:06:46,509 --> 00:06:48,649 on slime molds solving mazes. 125 00:06:50,375 --> 00:06:53,482 Could a slime mold find food 126 00:06:53,551 --> 00:06:57,347 placed at the far end of a labyrinth? 127 00:07:01,973 --> 00:07:04,803 I had never even heard of slime mold before I took this job. 128 00:07:07,116 --> 00:07:10,913 So here you have this organism that has no brain, no organs, 129 00:07:10,982 --> 00:07:13,363 no neurons of any kind. 130 00:07:13,433 --> 00:07:16,228 Yet it's able to do some of the behaviors 131 00:07:16,297 --> 00:07:19,646 we normally associate with animals with brains. 132 00:07:33,142 --> 00:07:35,972 It is mysterious. 133 00:07:36,041 --> 00:07:38,009 Astounding. 134 00:07:38,078 --> 00:07:41,357 Solving a maze is amazing. 135 00:07:45,326 --> 00:07:47,605 How can a single-celled organism 136 00:07:47,674 --> 00:07:49,676 have such a capacity? 137 00:07:52,230 --> 00:07:56,476 Toshiyuki has devoted his career to studying this question. 138 00:07:56,545 --> 00:07:57,960 I mean, when you think about it, 139 00:07:58,029 --> 00:08:01,446 99% of the living things on our planet are brainless. 140 00:08:01,515 --> 00:08:04,518 But they need to find food, 141 00:08:04,587 --> 00:08:07,521 they need to find partners to reproduce often. 142 00:08:07,590 --> 00:08:10,524 They may need to hide from predators. 143 00:08:10,593 --> 00:08:13,078 How do you do all of that when you don't have a brain? 144 00:08:17,427 --> 00:08:19,602 When I came back to Australia, I thought 145 00:08:19,671 --> 00:08:24,400 it would be awesome to have one of these as a lab pet. 146 00:08:24,469 --> 00:08:25,677 And it lived in my desk for a few weeks. 147 00:08:30,889 --> 00:08:33,133 I started to notice that it was doing things 148 00:08:33,202 --> 00:08:35,687 a lot like my ants were doing. 149 00:08:38,172 --> 00:08:41,866 So she introduced Physarum to one of her colleagues, 150 00:08:41,935 --> 00:08:44,593 Audrey Dussutour. 151 00:08:44,662 --> 00:08:45,697 I was a post-doc in Australia 152 00:08:45,766 --> 00:08:47,941 studying nutrition in ants. 153 00:08:49,218 --> 00:08:52,842 It looked like an old omelet. 154 00:08:52,911 --> 00:08:58,468 The next day, it had escaped from the box we had put him in. 155 00:08:58,538 --> 00:09:01,057 It reminded us 156 00:09:01,126 --> 00:09:04,509 of this alien organism from a '50s movie 157 00:09:04,578 --> 00:09:06,925 that ate people... 158 00:09:10,204 --> 00:09:12,172 And grew and grew as it ate. 159 00:09:12,241 --> 00:09:14,001 It's unstoppable, it just kind of keeps coming. 160 00:09:14,070 --> 00:09:17,591 And then the world could fall before the blood-curdling threat 161 00:09:17,660 --> 00:09:19,179 of "The Blob"! 162 00:09:21,561 --> 00:09:24,253 Physarum doesn't eat people. 163 00:09:24,322 --> 00:09:27,083 It eats oatmeal, but it's really a glutton. 164 00:09:27,152 --> 00:09:29,810 It doubles in size every day. 165 00:09:29,879 --> 00:09:32,399 I nicknamed it "Blob." 166 00:09:32,468 --> 00:09:37,093 Physarum began consuming their time and attention. 167 00:09:37,162 --> 00:09:39,579 And soon, Tanya and Audrey 168 00:09:39,648 --> 00:09:41,615 shifted the focus of their research 169 00:09:41,684 --> 00:09:44,342 to this remarkable creature, 170 00:09:44,411 --> 00:09:48,864 so radically different than any other they'd studied, 171 00:09:48,933 --> 00:09:53,213 with abilities beyond what could be expected 172 00:09:53,282 --> 00:09:55,215 from a single cell, 173 00:09:55,284 --> 00:10:00,013 beginning with an unmistakable knack 174 00:10:00,082 --> 00:10:02,809 for finding food. 175 00:10:02,878 --> 00:10:05,846 Slime molds have receptors all over the cell body. 176 00:10:05,915 --> 00:10:07,434 And that allows them to detect 177 00:10:07,503 --> 00:10:09,678 different chemicals in the environment. 178 00:10:09,747 --> 00:10:11,921 It's very similar to our sense of smell. 179 00:10:11,990 --> 00:10:14,096 We have receptors in our noses, 180 00:10:14,165 --> 00:10:16,443 and we're actually detecting chemicals 181 00:10:16,512 --> 00:10:18,548 coming off of our food in the air. 182 00:10:18,618 --> 00:10:20,274 Slime molds are doing the same thing, 183 00:10:20,343 --> 00:10:24,002 but they're doing it through the soil or through a liquid medium. 184 00:10:24,071 --> 00:10:26,729 Like the surface of a petri dish. 185 00:10:26,798 --> 00:10:28,282 They're able to sense the chemical cue 186 00:10:28,351 --> 00:10:31,734 and that's what draws them towards the food. 187 00:10:31,803 --> 00:10:34,599 Slime mold's receptors sense a wide range 188 00:10:34,668 --> 00:10:38,223 of these cues in their environment. 189 00:10:38,292 --> 00:10:42,745 It can detect moisture and perceive the pH. 190 00:10:42,814 --> 00:10:47,025 It can perceive light because it has photoreceptors. 191 00:10:47,094 --> 00:10:49,683 So even though it is a single cell, it is, all at once, 192 00:10:49,752 --> 00:10:53,722 an eye, nose, ear, and so on. 193 00:10:53,791 --> 00:10:58,209 But it was how Physarum used these senses 194 00:10:58,278 --> 00:11:00,487 that captured their attention: 195 00:11:00,556 --> 00:11:04,180 an awareness of its environment; 196 00:11:04,249 --> 00:11:06,217 an ability to navigate; 197 00:11:06,286 --> 00:11:12,706 and how it moved with seeming purpose. 198 00:11:12,775 --> 00:11:14,432 Here's an organism that knows how to react 199 00:11:14,501 --> 00:11:18,436 and adapt to its environment, consistently and efficiently. 200 00:11:18,505 --> 00:11:22,060 They knew that Physarum's receptors 201 00:11:22,129 --> 00:11:24,545 allowed it to react to different stimuli. 202 00:11:24,614 --> 00:11:27,928 It will move towards a substance, like sugar, 203 00:11:27,997 --> 00:11:32,726 but it will also move away from certain substances, like salt. 204 00:11:32,795 --> 00:11:37,489 But was Physarum simply reacting to these stimuli? 205 00:11:37,558 --> 00:11:43,461 Or was it using these receptors to do something more complex? 206 00:11:43,530 --> 00:11:45,187 Was it taking in this information 207 00:11:45,256 --> 00:11:47,189 about its environment 208 00:11:47,258 --> 00:11:49,916 and making choices? 209 00:11:51,780 --> 00:11:54,506 So for their first experiment, 210 00:11:54,575 --> 00:11:55,645 they would present Physarum 211 00:11:55,715 --> 00:11:59,097 with one of the most basic choices 212 00:11:59,166 --> 00:12:01,548 facing any living organism... 213 00:12:01,617 --> 00:12:03,067 what to eat. 214 00:12:03,136 --> 00:12:07,347 We can offer it a choice between different food sources. 215 00:12:07,416 --> 00:12:09,521 The purpose of this experiment 216 00:12:09,590 --> 00:12:12,248 was to see how Physarum regulates its nutritional needs. 217 00:12:12,317 --> 00:12:16,114 But before they could even begin, 218 00:12:16,183 --> 00:12:17,391 they'd have to determine 219 00:12:17,460 --> 00:12:21,292 what exactly Physarum's nutritional needs were. 220 00:12:21,361 --> 00:12:25,434 In nature, Physarum feeds on a diverse diet 221 00:12:25,503 --> 00:12:28,989 of micro-organisms from the forest floor. 222 00:12:30,715 --> 00:12:33,028 But in laboratories around the world, 223 00:12:33,097 --> 00:12:37,342 they're fed a single food... oats. 224 00:12:37,411 --> 00:12:40,760 Slime molds inexplicably love rolled oats. 225 00:12:40,829 --> 00:12:42,313 And that's good for them, but for this experiment, 226 00:12:42,382 --> 00:12:44,108 we had to design different diets. 227 00:12:47,732 --> 00:12:50,424 So we had to invent special recipes for Blob. 228 00:12:52,495 --> 00:12:53,876 Making their Australian laboratory 229 00:12:53,945 --> 00:12:56,845 seem more like a British bake-off. 230 00:13:00,020 --> 00:13:01,608 We had to do a lot of different mixing and cooking 231 00:13:01,677 --> 00:13:02,920 to figure out 232 00:13:02,989 --> 00:13:04,922 the ratio of proteins to carbohydrates 233 00:13:04,991 --> 00:13:06,130 that the slime mold did the best on. 234 00:13:06,199 --> 00:13:08,132 So, the ones that maximize their growth. 235 00:13:09,961 --> 00:13:12,757 We created these sort of crèmes brûlées. 236 00:13:12,826 --> 00:13:17,866 We called them custards. 237 00:13:17,935 --> 00:13:20,247 35 different recipes. 238 00:13:20,316 --> 00:13:23,906 Each had a particular ratio of protein to sugar. 239 00:13:23,975 --> 00:13:28,808 To determine which of these recipes was best, 240 00:13:28,877 --> 00:13:31,741 the judge in this test kitchen 241 00:13:31,811 --> 00:13:33,813 was Physarum. 242 00:13:35,953 --> 00:13:40,336 They placed Physarum on each of these 35 mixtures of protein 243 00:13:40,405 --> 00:13:43,961 and carbohydrates... basically, sugar... 244 00:13:44,030 --> 00:13:47,550 and found that Physarum needed both to survive. 245 00:13:47,619 --> 00:13:53,453 But too much protein, and Physarum would split apart. 246 00:13:53,522 --> 00:13:56,801 Too much sugar proved fatal. 247 00:13:56,870 --> 00:13:58,665 With just the right balance, 248 00:13:58,734 --> 00:14:02,220 Physarum grew and remained healthiest. 249 00:14:02,289 --> 00:14:06,846 Audrey and Tanya had found Physarum's optimal diet. 250 00:14:08,848 --> 00:14:12,196 Now they were ready to test if Physarum could find it 251 00:14:12,265 --> 00:14:15,820 when presented with multiple options. 252 00:14:15,889 --> 00:14:17,960 We offered Physarum a buffet. 253 00:14:18,029 --> 00:14:20,376 In this buffet, 254 00:14:20,445 --> 00:14:23,241 Physarum had a variety of custards to choose from, 255 00:14:23,310 --> 00:14:26,244 each with a different ratio of protein to sugar. 256 00:14:26,313 --> 00:14:29,869 Could Physarum find one with the proper balance 257 00:14:29,938 --> 00:14:33,803 among these seven different ratios of nutrients? 258 00:14:33,873 --> 00:14:39,464 There was one slight problem. 259 00:14:39,533 --> 00:14:44,055 Physarum is slow, it is extremely slow. 260 00:14:46,437 --> 00:14:48,611 Way slower than a slug. 261 00:14:48,680 --> 00:14:54,376 Not even half the speed of the minute hand on this watch. 262 00:14:54,445 --> 00:15:00,451 Physarum... is... slow. 263 00:15:00,520 --> 00:15:05,042 At least 24 hours for a single experiment. 264 00:15:08,769 --> 00:15:13,464 So to observe and record their slime mold experiments, 265 00:15:13,533 --> 00:15:17,088 Tanya and Audrey relied on time-lapse photography. 266 00:15:17,157 --> 00:15:21,713 In images taken over periods of hours and even days, 267 00:15:21,782 --> 00:15:24,233 Physarum comes to life, 268 00:15:24,302 --> 00:15:27,409 unfurling its tendril-like extensions 269 00:15:27,478 --> 00:15:30,101 called pseudopods. 270 00:15:32,138 --> 00:15:35,279 It's detected that food cue, and it's extended a pseudopod out. 271 00:15:37,557 --> 00:15:39,421 I get the impression they don't super-like 272 00:15:39,490 --> 00:15:41,250 that blue food source. 273 00:15:41,319 --> 00:15:44,288 In fact, it contains levels of sugar 274 00:15:44,357 --> 00:15:46,221 that would be lethal to Physarum. 275 00:15:46,290 --> 00:15:49,949 And so, it heads elsewhere. 276 00:15:50,018 --> 00:15:51,260 You can see it's sort of dividing 277 00:15:51,329 --> 00:15:52,537 into a bunch of pseudopods... 278 00:15:56,645 --> 00:15:59,234 It's contacted that one in the middle. 279 00:15:59,303 --> 00:16:01,891 I'm not sure if it's actually chosen that one. 280 00:16:01,961 --> 00:16:05,033 It's the best ratio it's sensed so far. 281 00:16:05,102 --> 00:16:09,278 It begins eating, and continues searching. 282 00:16:09,347 --> 00:16:10,797 Slime mold can, and so it does. 283 00:16:10,866 --> 00:16:13,248 It'll first engulf the food 284 00:16:13,317 --> 00:16:15,975 and then send out pseudopods to start looking, 285 00:16:16,044 --> 00:16:18,425 because you never know what's around the corner. 286 00:16:18,494 --> 00:16:22,326 The slime mold soon abandons that source. 287 00:16:22,395 --> 00:16:23,741 It's sort of shifted. 288 00:16:23,810 --> 00:16:27,434 The slime mold clearly likes the left side better. 289 00:16:27,503 --> 00:16:31,024 On this side is the best nutritional balance. 290 00:16:31,093 --> 00:16:33,613 Given seven options, 291 00:16:33,682 --> 00:16:40,620 Physarum found the optimal ratio of protein to sugar. 292 00:16:40,689 --> 00:16:44,313 Blob headed towards the custard that would maximize growth. 293 00:16:44,382 --> 00:16:46,695 It will always try to optimize 294 00:16:46,764 --> 00:16:49,663 both protein and sugar. 295 00:16:51,907 --> 00:16:54,323 But had Physarum made a decision? 296 00:16:54,392 --> 00:16:57,119 Was this truly a choice? 297 00:16:57,188 --> 00:16:58,672 We have to be very careful 298 00:16:58,741 --> 00:17:00,260 using words like "choice" or "decide." 299 00:17:00,329 --> 00:17:02,193 We're not saying that they have feelings 300 00:17:02,262 --> 00:17:05,576 or that they're thinking or doing those decisions 301 00:17:05,645 --> 00:17:07,060 the same way that we do. 302 00:17:07,129 --> 00:17:09,200 What we are saying is that slime molds are able to make choices 303 00:17:09,269 --> 00:17:10,891 because, if you give them an option 304 00:17:10,960 --> 00:17:12,307 between two or more items, 305 00:17:12,376 --> 00:17:15,965 they will consistently make certain choices over others. 306 00:17:16,035 --> 00:17:20,522 Choice or not, they had conclusively shown 307 00:17:20,591 --> 00:17:23,525 that Physarum had effectively taken in information 308 00:17:23,594 --> 00:17:25,285 about its environment 309 00:17:25,354 --> 00:17:28,461 and turned that into action... 310 00:17:28,530 --> 00:17:34,225 action that in itself is mystifying. 311 00:17:34,294 --> 00:17:39,196 It begs the question, "How does a cell move 312 00:17:39,265 --> 00:17:41,094 "if it has no appendages, 313 00:17:41,163 --> 00:17:42,889 no legs?" 314 00:17:42,958 --> 00:17:44,856 It's a system quite unique in nature. 315 00:17:44,925 --> 00:17:47,066 If you look at it closely, you'll see 316 00:17:47,135 --> 00:17:51,277 that it is crisscrossed with a network of veins. 317 00:17:51,346 --> 00:17:53,520 The veins of slime molds are constantly pulsing, 318 00:17:53,589 --> 00:17:55,384 and that drives it forwards. 319 00:18:04,462 --> 00:18:05,739 In Bremen, Germany, 320 00:18:05,808 --> 00:18:08,673 Hans-G ünther D öbereiner and his team 321 00:18:08,742 --> 00:18:13,540 study the mechanics of Physarum's movement. 322 00:18:13,609 --> 00:18:17,199 There is a stream of what we call protoplasm. 323 00:18:17,268 --> 00:18:22,584 You can see here that there's a flow within these veins. 324 00:18:22,653 --> 00:18:25,587 That flow is produced by proteins 325 00:18:25,656 --> 00:18:27,554 that wrap around the veins 326 00:18:27,623 --> 00:18:30,488 and rhythmically squeeze and relax, 327 00:18:30,557 --> 00:18:33,871 propelling the protoplasm within. 328 00:18:33,940 --> 00:18:36,529 And that liquid is driven through the veins 329 00:18:36,598 --> 00:18:40,464 to the growth front of Physarum. 330 00:18:40,533 --> 00:18:43,915 The growth front is Physarum's forward-moving branches, 331 00:18:43,984 --> 00:18:46,746 fed by these veins. 332 00:18:46,815 --> 00:18:50,784 But how does Physarum coordinate this movement 333 00:18:50,853 --> 00:18:55,893 in order to navigate towards its next meal? 334 00:18:55,962 --> 00:18:57,066 In our bodies, we have a brain that tells 335 00:18:57,136 --> 00:18:58,413 the rest of our body what to do. 336 00:18:58,482 --> 00:19:00,277 That's not the case in the slime mold at all. 337 00:19:00,346 --> 00:19:01,450 It's totally decentralized. 338 00:19:01,519 --> 00:19:03,694 And so every bit of slime mold 339 00:19:03,763 --> 00:19:06,455 is essentially deciding for itself. 340 00:19:06,524 --> 00:19:10,010 What "every bit" would be in a single-celled organism 341 00:19:10,079 --> 00:19:15,602 is confusing, even for the people that study Physarum. 342 00:19:15,671 --> 00:19:18,605 So to better understand what the "parts" are 343 00:19:18,674 --> 00:19:22,161 that make up this single cell, 344 00:19:22,230 --> 00:19:25,578 Hans-G ünther's team shredded Physarum 345 00:19:25,647 --> 00:19:29,340 into thousands of tiny fragments. 346 00:19:31,722 --> 00:19:35,760 The veins, the pseudopods... 347 00:19:35,829 --> 00:19:38,763 all of the familiar structures... are gone. 348 00:19:38,832 --> 00:19:44,390 What remains are random bits of protoplasm, 349 00:19:44,459 --> 00:19:48,394 the goo that Physarum is made of. 350 00:19:48,463 --> 00:19:50,775 For Physarum, 351 00:19:50,844 --> 00:19:55,332 this is a minor setback. 352 00:19:55,401 --> 00:19:57,851 Viewed under a microscope, 353 00:19:57,920 --> 00:20:02,856 these bits are already pulsing. 354 00:20:04,479 --> 00:20:11,002 And as they watch, Physarum begins forming back together. 355 00:20:11,071 --> 00:20:14,661 These separate, small objects join up 356 00:20:14,730 --> 00:20:17,940 to form an interconnected network. 357 00:20:18,009 --> 00:20:20,771 You can see more and more of them coming together. 358 00:20:20,840 --> 00:20:24,050 Physarum is reassembling itself 359 00:20:24,119 --> 00:20:26,363 into its familiar network of veins, 360 00:20:26,432 --> 00:20:31,954 fanning out in every direction. 361 00:20:32,023 --> 00:20:36,131 Hans-G ünther has found that Physarum's parts 362 00:20:36,200 --> 00:20:39,445 are interchangeable. 363 00:20:42,586 --> 00:20:44,450 A dog is always a dog. 364 00:20:44,519 --> 00:20:46,728 A bacterium is always a bacterium. 365 00:20:46,797 --> 00:20:49,938 But Physarum is more like... 366 00:20:50,007 --> 00:20:54,667 A Transformer. 367 00:20:54,736 --> 00:20:57,117 It's a natural, biological Transformer. 368 00:21:00,535 --> 00:21:03,296 Any part of the slime mold can pretty much recreate 369 00:21:03,365 --> 00:21:05,402 any other part of the slime mold. 370 00:21:05,471 --> 00:21:06,610 And that's because, if you think of a slime mold 371 00:21:06,679 --> 00:21:08,197 as being almost like a soup, 372 00:21:08,267 --> 00:21:10,545 there is all these different components of the cell 373 00:21:10,614 --> 00:21:11,787 that do different jobs. 374 00:21:11,856 --> 00:21:15,101 They can organize and pack tightly to form a vein. 375 00:21:15,170 --> 00:21:16,585 They can be less packed together 376 00:21:16,654 --> 00:21:20,382 to form this free-flowing cytoplasm. 377 00:21:20,451 --> 00:21:22,660 It will just reorganize itself and become a slime mold again 378 00:21:22,729 --> 00:21:23,765 with all the normal slime mold bits. 379 00:21:23,834 --> 00:21:25,698 So it can totally reorganize itself. 380 00:21:25,767 --> 00:21:29,288 These individually pulsing bits 381 00:21:29,357 --> 00:21:30,599 are the key to its movement. 382 00:21:30,668 --> 00:21:34,293 If certain areas begin beating faster than others, 383 00:21:34,362 --> 00:21:38,297 Physarum will move in that direction. 384 00:21:38,366 --> 00:21:40,954 Cytoplasm will flow in the area where there's the most pulsing. 385 00:21:41,023 --> 00:21:44,372 And one thing that controls these pulses 386 00:21:44,441 --> 00:21:46,719 is Physarum's receptors. 387 00:21:46,788 --> 00:21:49,342 Once that receptor detects the food, that triggers 388 00:21:49,411 --> 00:21:51,931 that part of the slime mold that's closest to the food 389 00:21:52,000 --> 00:21:53,035 to start pulsing faster. 390 00:21:53,104 --> 00:21:54,036 And so the slime mold starts to flow 391 00:21:54,105 --> 00:21:56,107 in the direction of the food. 392 00:22:07,015 --> 00:22:08,257 Hans-G ünther has been mapping 393 00:22:08,327 --> 00:22:11,847 Physarum's patterns of structure and movement, 394 00:22:11,916 --> 00:22:14,678 and says that, in many ways, 395 00:22:14,747 --> 00:22:16,990 it resembles the flow of traffic 396 00:22:17,059 --> 00:22:19,476 on human transportation networks. 397 00:22:23,997 --> 00:22:28,174 In Japan, members of Toshiyuki's team have been studying this. 398 00:22:28,243 --> 00:22:30,832 Physarum is particularly interesting 399 00:22:30,901 --> 00:22:34,491 because it is, basically, an adaptive transportation network. 400 00:22:43,258 --> 00:22:44,949 In this experiment, 401 00:22:45,018 --> 00:22:47,331 Physarum is meticulously placed 402 00:22:47,400 --> 00:22:49,747 over the entire surface of the labyrinth. 403 00:22:53,544 --> 00:22:56,167 At the entrance and exit are oat flakes, 404 00:22:56,236 --> 00:22:58,687 to see how Physarum will handle the presence 405 00:22:58,756 --> 00:23:01,449 of two food sources. 406 00:23:05,556 --> 00:23:10,354 One by one, it eliminates unproductive pathways 407 00:23:10,423 --> 00:23:13,702 until there's just one vein left, 408 00:23:13,771 --> 00:23:18,914 linking the two food sources by the shortest path. 409 00:23:18,983 --> 00:23:22,159 By reconfiguring itself in this way, 410 00:23:22,228 --> 00:23:26,405 Physarum has optimized its intake of nutrients. 411 00:23:30,029 --> 00:23:33,170 But two points are easy. 412 00:23:39,003 --> 00:23:42,110 Toshiyuki began to test Physarum's ability 413 00:23:42,179 --> 00:23:47,460 to optimize its form over many more points, 414 00:23:47,529 --> 00:23:51,430 eventually increasing the number to 37. 415 00:23:51,499 --> 00:23:56,814 The number of possible ways to connect 37 points 416 00:23:56,883 --> 00:23:59,334 is somewhere in the neighborhood of an eight 417 00:23:59,403 --> 00:24:03,856 followed by 54 zeros. 418 00:24:03,925 --> 00:24:06,721 Can Physarum find the optimal way? 419 00:24:06,790 --> 00:24:10,000 And to make it interesting, 420 00:24:10,069 --> 00:24:14,349 Toshiyuki and his team gave Physarum a real-world problem, 421 00:24:14,418 --> 00:24:18,733 one that human engineers had already solved: 422 00:24:18,802 --> 00:24:21,977 find the most efficient transportation network 423 00:24:22,046 --> 00:24:24,117 in the greater Tokyo area. 424 00:24:24,186 --> 00:24:29,226 Using oat flakes to represent principal towns and cities, 425 00:24:29,295 --> 00:24:32,609 Physarum is placed where Tokyo would be. 426 00:24:34,058 --> 00:24:39,374 Can Physarum create an efficient network? 427 00:24:43,896 --> 00:24:47,969 Physarum explores its environment 428 00:24:48,038 --> 00:24:50,903 and, as it discovers the oat flakes, 429 00:24:50,972 --> 00:24:54,423 reconfigures its network of veins, 430 00:24:54,493 --> 00:24:58,911 reinforcing the links between the food sources 431 00:24:58,980 --> 00:25:02,880 and making the others disappear. 432 00:25:02,949 --> 00:25:04,951 What we're getting is something that looks an awful lot 433 00:25:05,020 --> 00:25:07,782 like the actual Tokyo metro system, 434 00:25:07,851 --> 00:25:11,510 far more like it than we would expect by chance. 435 00:25:11,579 --> 00:25:16,445 Physarum has created an optimal network. 436 00:25:20,622 --> 00:25:24,626 Something it's done successfully for millions of years, 437 00:25:24,695 --> 00:25:27,698 long before humans came along. 438 00:25:38,778 --> 00:25:40,469 We noticed almost always, 439 00:25:40,539 --> 00:25:41,988 when they were searching a plate, 440 00:25:42,057 --> 00:25:44,163 they would never go back over where they had been before, 441 00:25:44,232 --> 00:25:46,890 and that was unusual. 442 00:25:46,959 --> 00:25:50,687 Unusual because that would seem to imply that Physarum 443 00:25:50,756 --> 00:25:53,621 would have to remember. 444 00:25:53,690 --> 00:25:56,382 We assumed that it didn't have any classic memory, 445 00:25:56,451 --> 00:25:58,211 that it wasn't remembering where it had been, 446 00:25:58,280 --> 00:26:00,179 which left the question, "Well, then, how is it doing it?" 447 00:26:04,701 --> 00:26:07,358 The answer came from Physarum itself. 448 00:26:07,427 --> 00:26:13,675 It had been leaving a trail of clues written in slime. 449 00:26:13,744 --> 00:26:16,195 This gray stuff, that's the slime trail, 450 00:26:16,264 --> 00:26:20,061 which is kind of like the slime trails that we see behind slugs. 451 00:26:22,097 --> 00:26:25,273 So you have to ask, "Does Blob use its trail 452 00:26:25,342 --> 00:26:27,137 to memorize its environment?" 453 00:26:29,449 --> 00:26:31,555 Ants emit trails of pheromones 454 00:26:31,624 --> 00:26:34,696 to mark their paths to where they've found food. 455 00:26:34,765 --> 00:26:38,148 Then other members of the colony use that trail 456 00:26:38,217 --> 00:26:40,081 as an "external memory" 457 00:26:40,150 --> 00:26:44,395 to navigate to the food and back. 458 00:26:44,464 --> 00:26:46,018 Because we worked with ants, we were kind of familiar 459 00:26:46,087 --> 00:26:48,399 with this idea of having an external form of memory; 460 00:26:48,468 --> 00:26:52,334 it's not encoded in a brain, it's marked on the environment. 461 00:26:52,403 --> 00:26:58,409 In Physarum's case, its trail is a signal to keep away. 462 00:26:58,478 --> 00:27:01,550 That slime is, in fact, a repellent. 463 00:27:01,620 --> 00:27:04,070 Slime mold never wants to go back to where it has left 464 00:27:04,139 --> 00:27:05,624 its own slime. 465 00:27:07,522 --> 00:27:11,940 So we set up an experiment to see if this slime was being used 466 00:27:12,009 --> 00:27:14,253 as a kind of external memory: 467 00:27:14,322 --> 00:27:17,428 the U-Shaped Trap. 468 00:27:19,499 --> 00:27:22,088 The U-Shaped Trap was an experimental challenge 469 00:27:22,157 --> 00:27:26,058 used in early machine-learning research 470 00:27:26,127 --> 00:27:28,508 to test things like a robot's navigational memory. 471 00:27:28,577 --> 00:27:32,443 A robot is given a goal, which it can sense, 472 00:27:32,512 --> 00:27:36,309 and a U-shaped barrier, which it can't. 473 00:27:36,378 --> 00:27:39,140 I mean, if you don't have a system of memory 474 00:27:39,209 --> 00:27:40,279 or some other mechanism, 475 00:27:40,348 --> 00:27:42,143 you just keep running into the wall. 476 00:27:42,212 --> 00:27:45,940 And that's not a good thing. 477 00:27:46,009 --> 00:27:48,736 Robots without a system of memory would often 478 00:27:48,805 --> 00:27:51,670 remain trapped in this loop. 479 00:27:51,739 --> 00:27:54,707 In this experiment, 480 00:27:54,776 --> 00:27:57,434 Physarum's goal was food. 481 00:28:00,299 --> 00:28:02,819 Blob can spot the food source at a distance 482 00:28:02,888 --> 00:28:06,063 because it is diffusing into the environment. 483 00:28:06,132 --> 00:28:08,479 If the slime mold 484 00:28:08,548 --> 00:28:11,655 just follows that smell cue, it's gonna hit a wall. 485 00:28:11,724 --> 00:28:13,830 And without some sort of memory or some other system, 486 00:28:13,899 --> 00:28:15,383 we expect it 487 00:28:15,452 --> 00:28:16,971 to just keep smashing itself against that wall, 488 00:28:17,040 --> 00:28:19,767 and it won't escape. 489 00:28:19,836 --> 00:28:22,493 So what will Blob do? 490 00:28:22,562 --> 00:28:24,564 So the slime mold would go down, hit the wall, 491 00:28:24,633 --> 00:28:25,738 but when it goes to do it the second time, 492 00:28:25,807 --> 00:28:27,084 it detects that it's already been there 493 00:28:27,153 --> 00:28:29,466 and sort of takes a step back, 494 00:28:29,535 --> 00:28:31,019 and you can almost see it tracing the wall, 495 00:28:31,088 --> 00:28:34,160 and then coming up the side and zipping down 496 00:28:34,229 --> 00:28:37,405 and finding the food source really quickly. 497 00:28:41,409 --> 00:28:43,445 So once we'd shown that Blob was able to do that, 498 00:28:43,514 --> 00:28:46,172 we performed the experiment a second time, 499 00:28:46,241 --> 00:28:48,761 but this time, 500 00:28:48,830 --> 00:28:52,454 we covered the environment with slime. 501 00:28:52,523 --> 00:28:56,976 We made Blob think it had already explored the area. 502 00:28:57,045 --> 00:28:59,082 The slime mold can still detect there was a food cue 503 00:28:59,151 --> 00:29:01,118 and it still moved towards it, 504 00:29:01,187 --> 00:29:02,810 but it was unable to tell the difference 505 00:29:02,879 --> 00:29:06,227 between where it had been and where it hadn't been yet. 506 00:29:06,296 --> 00:29:08,539 And so because of that when it got to the bottom of the U, 507 00:29:08,608 --> 00:29:11,611 it just gets stuck and can't quite figure out how to get out. 508 00:29:11,680 --> 00:29:17,169 It was no longer able to find the food source. 509 00:29:17,238 --> 00:29:20,517 And so Tanya and Audrey concluded 510 00:29:20,586 --> 00:29:22,968 that Physarum's trail does, in fact, 511 00:29:23,037 --> 00:29:26,765 serve as an external memory. 512 00:29:32,771 --> 00:29:35,049 For slime mold researchers, 513 00:29:35,118 --> 00:29:37,430 the mounting evidence of these behaviors 514 00:29:37,499 --> 00:29:38,880 led them to pose a question 515 00:29:38,949 --> 00:29:43,782 that makes many scientists nervous. 516 00:29:43,851 --> 00:29:46,336 When you see what Physarum polycephalum can do... 517 00:29:46,405 --> 00:29:49,649 it can get through a labyrinth, create optimized networks, 518 00:29:49,718 --> 00:29:52,307 escape from a trap, balance its own diet... 519 00:29:52,376 --> 00:29:57,105 you start to think: "Does this organism possess intelligence?" 520 00:29:57,174 --> 00:29:58,727 So that word is tricky. 521 00:29:58,797 --> 00:30:01,144 Defining intelligence is not an easy thing, 522 00:30:01,213 --> 00:30:03,629 and certainly many people have different definitions for it. 523 00:30:03,698 --> 00:30:06,597 The question of intelligence 524 00:30:06,666 --> 00:30:09,393 depends a lot on how we define intelligence. 525 00:30:09,462 --> 00:30:12,224 Due to the fact that it is so tightly linked 526 00:30:12,293 --> 00:30:13,328 to the human beings, 527 00:30:13,397 --> 00:30:14,813 it is very difficult now 528 00:30:14,882 --> 00:30:17,263 to speak about intelligence in other organisms. 529 00:30:17,332 --> 00:30:22,924 A commonly accepted idea is that the only living organisms 530 00:30:22,993 --> 00:30:24,684 who display intelligence 531 00:30:24,753 --> 00:30:26,755 are those with a nervous system and brain. 532 00:30:26,825 --> 00:30:31,139 I say with certainty that I believe this idea is wrong. 533 00:30:31,208 --> 00:30:35,834 In my opinion, I call this intelligent behavior. 534 00:30:35,903 --> 00:30:40,045 For centuries, most scientists believed 535 00:30:40,114 --> 00:30:41,494 the trait of intelligence... 536 00:30:41,563 --> 00:30:44,049 the ability to reason and think... 537 00:30:44,118 --> 00:30:46,948 was unique to Homo sapiens. 538 00:30:49,088 --> 00:30:52,747 It wasn't until the mid-20th century that researchers started 539 00:30:52,816 --> 00:30:56,302 to document cognitive abilities in our primate cousins, 540 00:30:56,371 --> 00:30:59,961 as well as other animals, farther and farther from us 541 00:31:00,030 --> 00:31:02,446 on the evolutionary tree. 542 00:31:02,515 --> 00:31:08,970 Chimpanzees and even crows making and using tools. 543 00:31:09,039 --> 00:31:13,595 Whales and dolphins using sound to communicate complex ideas. 544 00:31:13,664 --> 00:31:19,601 Birds demonstrating memories of places, things, and past events. 545 00:31:19,670 --> 00:31:24,434 Sea lions that can grasp logic. 546 00:31:24,503 --> 00:31:28,576 And evidence that many animals can actually count. 547 00:31:30,681 --> 00:31:33,477 Audrey and Tanya now found themselves 548 00:31:33,546 --> 00:31:35,583 among the small but growing ranks of researchers 549 00:31:35,652 --> 00:31:37,965 pushing the boundaries of intelligence 550 00:31:38,034 --> 00:31:40,346 beyond the animal kingdom altogether, 551 00:31:40,415 --> 00:31:43,660 searching for signs of intelligence in organisms 552 00:31:43,729 --> 00:31:47,388 with no brains at all. 553 00:31:47,457 --> 00:31:51,633 The first conclusive evidence was soon found in plants. 554 00:31:55,154 --> 00:31:58,778 In Florence, Italy, the idea of plant intelligence 555 00:31:58,847 --> 00:32:02,299 has become the focus of some serious scientific study 556 00:32:02,368 --> 00:32:04,750 thanks to these two biologists, 557 00:32:04,819 --> 00:32:06,821 Stefano Mancuso 558 00:32:06,890 --> 00:32:09,203 and Frantisek Baluska, 559 00:32:09,272 --> 00:32:14,208 who founded the Society for Plant Signaling and Behavior. 560 00:32:14,277 --> 00:32:18,798 The notion of intelligence in plants is not new. 561 00:32:18,867 --> 00:32:23,665 Charles Darwin himself faced ridicule by his peers 562 00:32:23,734 --> 00:32:26,427 when, after extensive experimentation, 563 00:32:26,496 --> 00:32:30,879 he proposed that plants possessed a cognitive organ 564 00:32:30,949 --> 00:32:35,884 and that it resided in their root tips. 565 00:32:35,954 --> 00:32:39,509 Darwin says that in the tip of the root, 566 00:32:39,578 --> 00:32:42,822 there's the precise equivalent of a small brain, 567 00:32:42,891 --> 00:32:46,757 like the brain of an insect, that guides the plant. 568 00:32:46,826 --> 00:32:49,933 We started to argue that this theory 569 00:32:50,002 --> 00:32:51,866 is really not crazy theory. 570 00:32:51,935 --> 00:32:55,283 They came to this conclusion after conducting 571 00:32:55,352 --> 00:32:57,941 their own root-tip experiments. 572 00:32:59,805 --> 00:33:01,462 It was thought that a root arrived 573 00:33:01,531 --> 00:33:02,739 at an obstacle 574 00:33:02,808 --> 00:33:06,777 and did something like that to find a way out. 575 00:33:06,846 --> 00:33:09,884 Instead, what I saw was different. 576 00:33:09,953 --> 00:33:13,681 The roots turned well before reaching the obstacle. 577 00:33:13,750 --> 00:33:17,340 They were able to sense what was around them 578 00:33:17,409 --> 00:33:21,240 and calculate the shortest path in response. 579 00:33:21,309 --> 00:33:24,554 Stefano thought that this kind of "sensing" behavior 580 00:33:24,623 --> 00:33:27,660 would require coordination of the cells in the root tip. 581 00:33:29,835 --> 00:33:31,561 He discovered that a specific region 582 00:33:31,630 --> 00:33:32,941 was sending out electrical signals 583 00:33:33,011 --> 00:33:35,703 to the surrounding area. 584 00:33:35,772 --> 00:33:40,156 Could this be the "brain" that Darwin hypothesized? 585 00:33:41,778 --> 00:33:45,540 When this section was cut off, 586 00:33:45,609 --> 00:33:48,267 the root could still grow, 587 00:33:48,336 --> 00:33:51,615 but it lost the ability to sense its environment 588 00:33:51,684 --> 00:33:54,032 and adapt accordingly. 589 00:33:54,101 --> 00:33:58,450 From this, Stefano concluded that Darwin was correct: 590 00:33:58,519 --> 00:33:59,589 plant roots did appear 591 00:33:59,658 --> 00:34:03,662 to contain a kind of sensory organ. 592 00:34:05,146 --> 00:34:08,115 Plants are like upside-down humans: 593 00:34:08,184 --> 00:34:09,737 they have their heads underground, 594 00:34:09,806 --> 00:34:13,603 and the part we can see is the reproductive part. 595 00:34:13,672 --> 00:34:14,811 And that's how we should look at plants, 596 00:34:14,880 --> 00:34:17,848 something like this pot. 597 00:34:24,200 --> 00:34:26,685 Since plants now did seem to have some form 598 00:34:26,754 --> 00:34:27,996 of sensory ability, 599 00:34:28,066 --> 00:34:30,689 Stefano and Frantisek began searching 600 00:34:30,758 --> 00:34:32,070 for more complex behavior 601 00:34:32,139 --> 00:34:35,797 which might conclusively demonstrate intelligence: 602 00:34:35,866 --> 00:34:39,007 memory and learning. 603 00:34:39,077 --> 00:34:43,219 One of the most basic types of learning in brained creatures 604 00:34:43,288 --> 00:34:45,255 can be seen in these pigeons, 605 00:34:45,324 --> 00:34:48,327 who've learned not to fear humans. 606 00:34:48,396 --> 00:34:50,950 They even tune them out. 607 00:34:51,019 --> 00:34:53,919 Habituation, as it's called, 608 00:34:53,988 --> 00:34:58,061 enables organisms to focus on the important information, 609 00:34:58,130 --> 00:35:02,134 while filtering out the noise in the world around them. 610 00:35:03,929 --> 00:35:06,345 To test for this type of learning in plants, 611 00:35:06,414 --> 00:35:08,036 Stefano and his colleagues 612 00:35:08,106 --> 00:35:12,317 turned to this intriguing specimen, Mimosa pudica, 613 00:35:12,386 --> 00:35:18,185 which reacts to disturbances by folding its leaves. 614 00:35:18,254 --> 00:35:20,463 If this reaction is purely mechanical, 615 00:35:20,532 --> 00:35:24,398 they should respond this way every time they're disturbed, 616 00:35:24,467 --> 00:35:29,161 even after numerous disturbances that don't prove to be harmful. 617 00:35:29,230 --> 00:35:32,164 So they repeatedly dropped plants 618 00:35:32,233 --> 00:35:34,339 from a height of six inches... 619 00:35:34,408 --> 00:35:37,376 not particularly harmful for pudica. 620 00:35:37,445 --> 00:35:40,310 And after only five or six drops, 621 00:35:40,379 --> 00:35:44,694 the plants stopped reacting. 622 00:35:44,763 --> 00:35:46,385 And yet, when they were disturbed in other ways, 623 00:35:46,454 --> 00:35:50,562 they still responded by folding their leaves. 624 00:35:52,322 --> 00:35:54,635 We showed that Mimosa pudica was able to memorize 625 00:35:54,704 --> 00:35:55,912 different stimuli 626 00:35:55,981 --> 00:35:58,466 and to differentiate 627 00:35:58,535 --> 00:36:01,952 between a dangerous stimulus and one that wasn't dangerous, 628 00:36:02,021 --> 00:36:04,403 and then respond accordingly. 629 00:36:04,472 --> 00:36:08,235 This was, indeed, quite a sensation. 630 00:36:08,304 --> 00:36:12,135 Stefano and his colleagues had documented intriguing evidence 631 00:36:12,204 --> 00:36:13,274 of memory and learning 632 00:36:13,343 --> 00:36:15,932 in a brainless organism. 633 00:36:23,077 --> 00:36:28,945 For Audrey, this raised a tantalizing question. 634 00:36:29,014 --> 00:36:30,291 So with Physarum we asked, 635 00:36:30,360 --> 00:36:32,569 "Are we going to find this kind of ability 636 00:36:32,638 --> 00:36:35,917 that can be found in plants?" 637 00:36:35,986 --> 00:36:38,196 She and Tanya had proven that Physarum used 638 00:36:38,265 --> 00:36:40,439 a kind of external memory. 639 00:36:40,508 --> 00:36:42,959 But was it possible that Physarum 640 00:36:43,028 --> 00:36:47,688 possessed some true internal memory? 641 00:36:47,757 --> 00:36:50,277 Is slime mold capable of remembering? 642 00:36:50,346 --> 00:36:52,934 Is it capable of learning? 643 00:36:53,003 --> 00:36:55,213 That question is the Holy Grail. 644 00:36:57,007 --> 00:36:59,665 Proving that Physarum had these capabilities could show 645 00:36:59,734 --> 00:37:03,635 that a single-celled creature was capable of intelligence, 646 00:37:03,704 --> 00:37:08,156 and might very well force scientists to reconsider 647 00:37:08,226 --> 00:37:12,230 the idea of intelligence itself. 648 00:37:12,299 --> 00:37:16,199 So we set up an experiment to see if Blob learned things... 649 00:37:16,268 --> 00:37:18,443 a habituation experiment. 650 00:37:20,652 --> 00:37:22,826 The objective was to try and habituate Physarum 651 00:37:22,895 --> 00:37:26,485 to a substance it was repulsed by. 652 00:37:26,554 --> 00:37:28,660 In this case, salt. 653 00:37:32,388 --> 00:37:35,770 Between this Physarum and a tasty snack 654 00:37:35,839 --> 00:37:40,672 is a bridge a few centimeters long. 655 00:37:40,741 --> 00:37:46,402 Normally, Physarum makes the crossing in about an hour. 656 00:37:48,404 --> 00:37:50,544 For her experiment, 657 00:37:50,613 --> 00:37:52,925 Audrey coated the bridge in salt. 658 00:37:52,994 --> 00:37:58,655 Not enough to harm Physarum, but enough to leave a bad taste. 659 00:38:01,693 --> 00:38:06,560 It took Blob ten hours to cross the bridge. 660 00:38:06,629 --> 00:38:08,458 The next day, we'd do it again. 661 00:38:10,874 --> 00:38:13,083 By day two, that same Physarum 662 00:38:13,152 --> 00:38:16,190 was moving faster over the salt bridge. 663 00:38:16,259 --> 00:38:20,850 This time, it takes eight hours to cross the bridge. 664 00:38:20,919 --> 00:38:23,818 Audrey repeated this for five days, and each day, 665 00:38:23,887 --> 00:38:30,135 Physarum moved more quickly across the salt bridge. 666 00:38:30,204 --> 00:38:33,207 By the fifth day, Blob takes no more time 667 00:38:33,276 --> 00:38:37,073 than our "control" Blob that crossed the bridge with no salt. 668 00:38:37,142 --> 00:38:43,182 So Physarum ends up getting used to a substance it doesn't like. 669 00:38:43,251 --> 00:38:46,600 It seemed that Physarum learned to tolerate, 670 00:38:46,669 --> 00:38:49,085 or habituate to the salt. 671 00:38:52,502 --> 00:38:57,058 Had Physarum actually learned that the salt wasn't harmful? 672 00:38:57,127 --> 00:39:02,823 If this were true, it would mean that somewhere, inside Physarum, 673 00:39:02,892 --> 00:39:07,793 there was a form of memory. 674 00:39:07,862 --> 00:39:09,312 Of course, some were skeptical, 675 00:39:09,381 --> 00:39:11,038 because we were up against the dogma 676 00:39:11,107 --> 00:39:12,695 that learning was strictly reserved 677 00:39:12,764 --> 00:39:14,317 for organisms with a brain. 678 00:39:14,386 --> 00:39:20,254 So Audrey wasn't leaving things to chance. 679 00:39:20,323 --> 00:39:23,015 If you want to prove 680 00:39:23,084 --> 00:39:24,396 that a single-celled creature can learn, 681 00:39:24,465 --> 00:39:25,811 you've got to be sure 682 00:39:25,880 --> 00:39:28,020 you can convince your colleagues. 683 00:39:28,089 --> 00:39:29,850 On each of these tiny salt bridges, 684 00:39:29,919 --> 00:39:33,232 they repeated the experiment, again and again. 685 00:39:33,301 --> 00:39:35,683 DUSSUTOUR 4,000 times 686 00:39:35,752 --> 00:39:39,204 on 4,000 different Blobs. 687 00:39:43,898 --> 00:39:46,453 The results were consistent. 688 00:39:46,522 --> 00:39:48,524 Physarum had altered its behavior 689 00:39:48,593 --> 00:39:50,111 through its past experiences, 690 00:39:50,180 --> 00:39:55,910 a fundamental definition of learning. 691 00:39:55,979 --> 00:39:58,534 Audrey had demonstrated learning and memory 692 00:39:58,603 --> 00:40:01,122 in a single-celled organism. 693 00:40:01,191 --> 00:40:03,953 A creature this simple 694 00:40:04,022 --> 00:40:08,854 demonstrated the ability to learn. 695 00:40:08,923 --> 00:40:10,753 But how do they do it? 696 00:40:18,519 --> 00:40:21,349 Audrey showed very nicely in her work 697 00:40:21,419 --> 00:40:25,319 that Physarum clearly has memory and learned from its experience 698 00:40:25,388 --> 00:40:27,597 to adaptively make decisions about where it's going to go 699 00:40:27,666 --> 00:40:29,530 and how it's going to explore its environment. 700 00:40:29,599 --> 00:40:32,740 All of these are fundamental components to being smart. 701 00:40:32,809 --> 00:40:36,710 Director of the Allen Discovery Center Michael Levin 702 00:40:36,779 --> 00:40:39,229 listens in on the electrical signals 703 00:40:39,298 --> 00:40:41,369 exchanged between cells. 704 00:40:41,439 --> 00:40:46,029 My lab focuses on bioelectricity. 705 00:40:46,098 --> 00:40:47,962 All cells are electrically active, 706 00:40:48,031 --> 00:40:51,759 and these electrical signals enable cells 707 00:40:51,828 --> 00:40:54,659 to join into networks that store memories 708 00:40:54,728 --> 00:40:56,384 and process information and make decisions. 709 00:40:56,454 --> 00:41:00,492 It was previously thought that these cognitive abilities 710 00:41:00,561 --> 00:41:03,771 came from the conversations between many cells. 711 00:41:03,840 --> 00:41:08,431 But Physarum had just proven that wrong. 712 00:41:08,500 --> 00:41:10,537 Physarum is one single cell. 713 00:41:10,606 --> 00:41:12,746 And so this takes us away from questions 714 00:41:12,815 --> 00:41:15,369 of cell-to-cell communication, 715 00:41:15,438 --> 00:41:17,302 all these things that multicellular organisms do 716 00:41:17,371 --> 00:41:20,823 that we think of as really important for cognition, 717 00:41:20,892 --> 00:41:22,618 but clearly now, we see 718 00:41:22,687 --> 00:41:24,654 that this can be done by one cell. 719 00:41:24,723 --> 00:41:27,588 Michael learned a lot about cellular communication 720 00:41:27,657 --> 00:41:30,384 from his work with a curious multi-celled creature 721 00:41:30,453 --> 00:41:32,351 called a planarian. 722 00:41:39,531 --> 00:41:42,638 A small aquatic worm with the unusual ability 723 00:41:42,707 --> 00:41:49,299 to regrow missing or damaged parts of its body. 724 00:41:49,368 --> 00:41:51,301 They regenerate every part of the body. 725 00:41:51,370 --> 00:41:53,925 So if cut into pieces, every piece of a planarian 726 00:41:53,994 --> 00:41:57,411 knows exactly what a standard planarian body should look like. 727 00:42:01,035 --> 00:42:02,554 When a planarian is cut in half, 728 00:42:02,623 --> 00:42:07,283 its cells regenerate to rebuild a head at one end, 729 00:42:07,352 --> 00:42:09,941 and a tail at the other. 730 00:42:10,010 --> 00:42:11,770 Everything that's missing in the correct location, 731 00:42:11,839 --> 00:42:15,291 and it stops when it's done. 732 00:42:15,360 --> 00:42:17,707 But how? 733 00:42:17,776 --> 00:42:21,849 Michael and his team began to tinker with planarian cells 734 00:42:21,918 --> 00:42:23,782 to see if they could affect how these worms 735 00:42:23,851 --> 00:42:28,166 controlled their regeneration. 736 00:42:28,235 --> 00:42:29,477 We've discovered 737 00:42:29,547 --> 00:42:31,687 that part of this control is an electric circuit 738 00:42:31,756 --> 00:42:34,413 that allows these cells to store this kind of information. 739 00:42:37,589 --> 00:42:40,558 And what we found is that if we temporarily... 740 00:42:40,627 --> 00:42:41,973 just for 48 hours... 741 00:42:42,042 --> 00:42:45,217 alter this electric circuit, and, in essence, 742 00:42:45,286 --> 00:42:48,496 rewrite the finely encoded pattern memory 743 00:42:48,566 --> 00:42:49,497 of these tissues... 744 00:42:52,915 --> 00:42:54,986 When they regenerate, they can regenerate 745 00:42:55,055 --> 00:42:58,334 as two-headed animals. 746 00:42:58,403 --> 00:43:00,612 Michael and his team did this without any kind 747 00:43:00,681 --> 00:43:02,890 of gene editing. 748 00:43:02,959 --> 00:43:05,824 It was done purely through the manipulation of the signals 749 00:43:05,893 --> 00:43:08,240 between its cells. 750 00:43:08,309 --> 00:43:10,415 And so this tells you 751 00:43:10,484 --> 00:43:11,968 that the information that is needed 752 00:43:12,037 --> 00:43:14,212 to specify what kind of body you are going to make 753 00:43:14,281 --> 00:43:18,526 is not entirely specified in the genome. 754 00:43:18,596 --> 00:43:23,324 Michael says that cells function like electronic processors. 755 00:43:23,393 --> 00:43:25,499 Bioelectricity is the software that is run on these cells, 756 00:43:25,568 --> 00:43:30,538 and it can be rewritten. 757 00:43:32,989 --> 00:43:35,854 Michael wondered if Physarum was using bioelectricity 758 00:43:35,923 --> 00:43:37,960 as its system of memory. 759 00:43:40,272 --> 00:43:42,067 What does it mean for a chunk of cytoplasm 760 00:43:42,136 --> 00:43:44,483 that you can pick up and hold in your hand and analyze 761 00:43:44,552 --> 00:43:45,692 molecularly, electrically, and so on 762 00:43:45,761 --> 00:43:49,212 to really store an experience or a memory 763 00:43:49,281 --> 00:43:52,008 or an inference from past experiences? 764 00:43:52,077 --> 00:43:55,046 So they tested Physarum's veins 765 00:43:55,115 --> 00:43:57,911 for signs of bioelectrical signals, 766 00:43:57,980 --> 00:44:02,536 and found that it produced electrical waves 767 00:44:02,605 --> 00:44:07,334 that matched the flow of its protoplasm within. 768 00:44:09,163 --> 00:44:11,856 What we're doing is attempting to read the mind 769 00:44:11,925 --> 00:44:13,892 of the Physarum. 770 00:44:13,961 --> 00:44:17,447 As it turns out, reading Physarum's mind 771 00:44:17,516 --> 00:44:20,416 is all about body language. 772 00:44:20,485 --> 00:44:22,383 One of the important things about Physarum, 773 00:44:22,452 --> 00:44:27,630 its body structure and its behavior are simultaneous. 774 00:44:27,699 --> 00:44:30,426 In other words, the behavior of the slime mold is executed 775 00:44:30,495 --> 00:44:33,671 by altering its body structure. 776 00:44:33,740 --> 00:44:36,743 Meaning, if Physarum was communicating internally 777 00:44:36,812 --> 00:44:40,436 using bioelectric signals, 778 00:44:40,505 --> 00:44:44,958 those signals would change along with Physarum's shape. 779 00:44:46,580 --> 00:44:50,584 Michael's colleague Andrew Adamatzky 780 00:44:50,653 --> 00:44:52,172 attempted to communicate with Physarum 781 00:44:52,241 --> 00:44:55,209 by sending it electrical signals. 782 00:44:55,278 --> 00:44:58,454 He found that different signals would cause Physarum 783 00:44:58,523 --> 00:45:01,388 to grow in different ways. 784 00:45:01,457 --> 00:45:04,184 Some signals sent between two points 785 00:45:04,253 --> 00:45:06,255 made Physarum reconfigure its body 786 00:45:06,324 --> 00:45:09,292 as it would between two oat flakes. 787 00:45:09,361 --> 00:45:12,537 Other signals repelled Physarum, 788 00:45:12,606 --> 00:45:16,886 causing it to shift its body away from the source, 789 00:45:16,955 --> 00:45:19,855 much in the way it does with salt. 790 00:45:21,304 --> 00:45:23,859 Andrew and Michael believe that this shows Physarum 791 00:45:23,928 --> 00:45:27,103 is using bioelectricity to process information 792 00:45:27,172 --> 00:45:29,899 as it adapts to the world around it, 793 00:45:29,968 --> 00:45:34,386 and that Physarum's simple design was a step along the way 794 00:45:34,455 --> 00:45:37,355 towards the evolution of multicellular organisms 795 00:45:37,424 --> 00:45:41,152 with specialized cells like neurons 796 00:45:41,221 --> 00:45:44,742 and more complex brain circuitry. 797 00:45:44,811 --> 00:45:46,640 I think evolution discovered very early on 798 00:45:46,709 --> 00:45:49,574 that electricity and the circuits that you can make 799 00:45:49,643 --> 00:45:51,610 out of very simple electrical components 800 00:45:51,679 --> 00:45:54,924 are an extremely powerful and robust system 801 00:45:54,993 --> 00:45:56,650 for processing information, 802 00:45:56,719 --> 00:45:58,238 making decisions, storing memories. 803 00:46:01,241 --> 00:46:04,106 Things it now appears that Physarum was doing 804 00:46:04,175 --> 00:46:10,146 long before the arrival of creatures with brains. 805 00:46:20,467 --> 00:46:21,640 We started to wonder 806 00:46:21,709 --> 00:46:24,712 whether a Blob that had learned something 807 00:46:24,782 --> 00:46:29,441 could transfer its learning to another Blob. 808 00:46:29,510 --> 00:46:35,413 In other words: could Physarum communicate a memory? 809 00:46:35,482 --> 00:46:37,277 Because of what she had learned 810 00:46:37,346 --> 00:46:38,899 about Physarum's shape-shifting nature, 811 00:46:38,968 --> 00:46:41,246 Audrey knew she could cut it into pieces 812 00:46:41,315 --> 00:46:45,561 and it would re-form. 813 00:46:45,630 --> 00:46:47,666 If you take a Blob and cut it in half, 814 00:46:47,735 --> 00:46:50,324 you always end up with two separate Blobs. 815 00:46:50,393 --> 00:46:53,224 So how does that work? 816 00:46:53,293 --> 00:46:57,055 It works because of Physarum's odd, soupy anatomy. 817 00:46:57,124 --> 00:47:01,128 Most single-celled organisms have a single nucleus. 818 00:47:01,197 --> 00:47:02,820 When they grow by dividing, 819 00:47:02,889 --> 00:47:06,824 each new cell still has a single nucleus. 820 00:47:06,893 --> 00:47:08,860 If you were to cut that in half 821 00:47:08,929 --> 00:47:11,794 you'd have two halves of a dead cell. 822 00:47:11,863 --> 00:47:16,626 But when Physarum grows, its nuclei divide, 823 00:47:16,695 --> 00:47:21,390 and yet they all remain within the same cell membrane. 824 00:47:21,459 --> 00:47:24,738 And that's why, when you divide one Physarum in half, 825 00:47:24,807 --> 00:47:29,260 you will have two complete living Physarum. 826 00:47:29,329 --> 00:47:30,433 And these Physarum 827 00:47:30,502 --> 00:47:33,402 can also join together with any other Physarum 828 00:47:33,471 --> 00:47:35,093 that they encounter. 829 00:47:37,682 --> 00:47:40,271 If you then take those two Blobs and put them side by side, 830 00:47:40,340 --> 00:47:41,375 they'll combine. 831 00:47:41,444 --> 00:47:45,690 For Blobs, one plus one equals one. 832 00:47:45,759 --> 00:47:49,521 The fusion occurs when the two membranes stick together. 833 00:47:49,590 --> 00:47:52,248 They open up, and then the networks of veins 834 00:47:52,317 --> 00:47:55,838 connect to create a single, autonomous Blob. 835 00:47:57,702 --> 00:48:00,256 So Audrey brought together thousands of Physarum 836 00:48:00,325 --> 00:48:02,155 that she had accustomed to salt 837 00:48:02,224 --> 00:48:07,574 with others that weren't... so-called naïve ones. 838 00:48:10,611 --> 00:48:12,959 If we allowed two Blobs to fuse together for three hours, 839 00:48:13,028 --> 00:48:16,686 the information passed from one to the other. 840 00:48:16,755 --> 00:48:20,656 The naïve Blob now liked salt. 841 00:48:20,725 --> 00:48:23,590 It looked as though the memory was passed 842 00:48:23,659 --> 00:48:27,663 through the system of veins. 843 00:48:27,732 --> 00:48:30,562 Slime mold demonstrated the ability to communicate 844 00:48:30,631 --> 00:48:33,772 the information it had learned. 845 00:48:37,224 --> 00:48:39,399 And over time, Audrey began to notice 846 00:48:39,468 --> 00:48:41,746 that Physarum from different places 847 00:48:41,815 --> 00:48:45,715 showed different behaviors. 848 00:48:45,784 --> 00:48:49,581 To Audrey, this is slime mold personality. 849 00:48:49,650 --> 00:48:51,618 We realized that there were lots of differences 850 00:48:51,687 --> 00:48:52,895 between our Blobs. 851 00:48:52,964 --> 00:48:56,588 Depending on where they came from, 852 00:48:56,657 --> 00:49:00,385 her Physarum seemed to have distinct characteristics. 853 00:49:00,454 --> 00:49:03,492 The Japanese Physarum is fast. 854 00:49:03,561 --> 00:49:07,910 The Australian careful and well-mannered. 855 00:49:07,979 --> 00:49:10,395 Its behavior is much more consistent 856 00:49:10,464 --> 00:49:11,776 from one day to another 857 00:49:11,845 --> 00:49:13,053 and it does not escape. 858 00:49:13,122 --> 00:49:17,540 The American is... problematic. 859 00:49:17,609 --> 00:49:20,095 When the American Blob arrived, 860 00:49:20,164 --> 00:49:22,511 we gave it organic oat flakes. 861 00:49:22,580 --> 00:49:23,926 And it completely refused. 862 00:49:23,995 --> 00:49:26,273 It even got out of its box 863 00:49:26,342 --> 00:49:28,966 because it preferred the well-known American brand. 864 00:49:32,072 --> 00:49:35,938 She put them to the test in a 250-millimeter dash. 865 00:49:37,560 --> 00:49:40,529 And out of the blocks, Japan is certainly showing speed, 866 00:49:40,598 --> 00:49:43,601 with America close behind. 867 00:49:43,670 --> 00:49:44,878 The Japanese Blob 868 00:49:44,947 --> 00:49:47,915 is extremely fast, but often makes bad decisions. 869 00:49:47,985 --> 00:49:51,091 Australia has not yet started. 870 00:49:51,160 --> 00:49:52,196 The Australian Blob 871 00:49:52,265 --> 00:49:54,681 takes a little more time to make decisions. 872 00:49:54,750 --> 00:49:58,857 Japan, now sending pseudopods in the wrong direction, 873 00:49:58,926 --> 00:50:00,376 has lost its lead to the U.S. 874 00:50:00,445 --> 00:50:03,414 But the U.S. appears to be slowing down, 875 00:50:03,483 --> 00:50:05,105 possibly attempting an escape. 876 00:50:05,174 --> 00:50:09,006 And Japan takes back the lead. 877 00:50:09,075 --> 00:50:12,423 Australia still not sure whether to start. 878 00:50:12,492 --> 00:50:15,288 America, now moving forward again... 879 00:50:15,357 --> 00:50:17,876 And the winner... 880 00:50:17,945 --> 00:50:21,190 Japan! 881 00:50:28,715 --> 00:50:31,097 The discoveries of these pioneers 882 00:50:31,166 --> 00:50:33,547 studying cognition in brainless organisms 883 00:50:33,616 --> 00:50:37,896 have scientists rethinking thinking. 884 00:50:37,965 --> 00:50:42,004 Organisms like slime mold provide a window 885 00:50:42,073 --> 00:50:43,695 into evolution's early experiments 886 00:50:43,764 --> 00:50:46,836 in problem solving. 887 00:50:46,905 --> 00:50:49,701 We're just starting to scratch the surface of understanding 888 00:50:49,770 --> 00:50:52,049 the cognitive capabilities of these really 889 00:50:52,118 --> 00:50:56,363 radically different biological architectures. 890 00:50:56,432 --> 00:51:01,161 We can think of them as how intelligence started way back. 891 00:51:01,230 --> 00:51:03,336 The early origins of decision making. 892 00:51:03,405 --> 00:51:06,960 We can also learn a little bit about some of the rules 893 00:51:07,029 --> 00:51:08,582 that underlie problem solving 894 00:51:08,651 --> 00:51:10,515 across lots of different types of systems. 895 00:51:12,690 --> 00:51:15,658 And more importantly, for us, at least, 896 00:51:15,727 --> 00:51:18,592 early solutions to problem solving like these 897 00:51:18,661 --> 00:51:23,114 would lead to the specialization of cells. 898 00:51:23,183 --> 00:51:25,358 They're an example of the most basic form 899 00:51:25,427 --> 00:51:26,807 of multicellularity. 900 00:51:26,876 --> 00:51:29,914 They don't have organs or anything like that, 901 00:51:29,983 --> 00:51:32,123 but they're the very beginning of what we would expect to see 902 00:51:32,192 --> 00:51:34,470 in multicellular life. 903 00:51:34,539 --> 00:51:38,233 Neurons did not appear from scratch during evolution, 904 00:51:38,302 --> 00:51:40,476 but actually are the result 905 00:51:40,545 --> 00:51:42,789 of the specialization of much more ancient cells. 906 00:51:42,858 --> 00:51:45,861 All of the machinery that we find in neurons, in synapses, 907 00:51:45,930 --> 00:51:47,242 all of these things were present 908 00:51:47,311 --> 00:51:50,348 even in our unicellular ancestor. 909 00:51:50,417 --> 00:51:54,007 Leading to the development of more complex life, 910 00:51:54,076 --> 00:51:59,288 and eventually, to creatures like us. 71202

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