Brainy & Brainless Animals: Crash Course Zoology #5 - By CrashCourse
Transcript
00:0-1 | There are lots of big questions out there that we | |
00:02 | just don't know the answer to like how we store | |
00:05 | and retrieve memories or why we sleep and dream . | |
00:09 | But alongside these complex issues , there are some deceptively | |
00:13 | simple questions . Thousands of years of science and observation | |
00:17 | haven't been able to answer yet . Like what is | |
00:20 | a brain ? We humans love to focus on our | |
00:24 | brain power and our ability to use complex tools and | |
00:27 | languages solve problems and grapple with deep philosophical questions . | |
00:32 | But those might not be important tasks for other animals | |
00:36 | . And we might think of big brained animals like | |
00:39 | primates and dolphins as being the smart ones . But | |
00:42 | you don't need a big brain to do a lot | |
00:45 | of smart things like recognize your family or trick your | |
00:49 | prey and we'll even see how some animals literally lost | |
00:53 | their minds , opting for a simpler but no less | |
00:57 | evolved lifestyle . I'm Ray Wynne Grant and this is | |
01:00 | crash course sociology . Mhm . Brains look different across | |
01:13 | the vast wildness of meadows Owa . But for the | |
01:16 | most part , animals have some sort of nervous system | |
01:19 | which coordinates the actions of the other systems in the | |
01:22 | body . And we can think of a brain as | |
01:24 | the mission control center of the nervous system . Brains | |
01:28 | are organs or groups of tissues or cells that all | |
01:31 | do the same thing that are made up of big | |
01:34 | bunches of nerve cells called neurons . Neurons send and | |
01:39 | receive information from other cells using electrical signals and process | |
01:44 | that information in order to respond in some way like | |
01:48 | to move . And they have two main parts that | |
01:51 | help them with all that information . Cell bodies and | |
01:55 | tails called axons . Groups of neuron cell bodies that | |
01:59 | work together as a unit are called ganglia and bunches | |
02:03 | and bunches of interconnected ganglia . Plus a few other | |
02:06 | things to hold everything together are what make up brains | |
02:10 | . The nerve cells in ganglia send instructions from the | |
02:13 | brain to other cells like to tell muscles to contract | |
02:18 | . Though how a bunch of Ganglia becomes a cooperative | |
02:22 | network of millions of cells is still a mystery . | |
02:25 | On the other end , a bunch of neuron axons | |
02:29 | is called a nerve and nerves can reach throughout the | |
02:32 | body in order to send information to the brain when | |
02:36 | they sense things like pain , light or sound . | |
02:39 | And for the vast majority of animals we know about | |
02:41 | in 2021 brains or at least some kind of nervous | |
02:46 | system are pretty fundamental to two key animal traits . | |
02:50 | Multicellular charity and movement . A nervous system keeps the | |
02:55 | sometimes millions and millions of cells in touch and coordinates | |
03:00 | their actions to digest food or wag a tail just | |
03:04 | like a skeleton . Nervous systems are part of the | |
03:06 | scaffolding that builds an animal body . But since brains | |
03:10 | are squishy , it's hard to get a lot of | |
03:14 | information about how they developed from fossils , squishy stuff | |
03:19 | usually gets broken down long before fossils form . So | |
03:22 | instead we can examine early diverging plaids , which are | |
03:26 | groups of animals that last shared a common ancestor with | |
03:29 | other animals a very long time ago as a window | |
03:32 | into what early nervous systems might have looked like . | |
03:35 | The simplest , but also the most mysterious nervous system | |
03:39 | belongs to file um peripheral to the sponges . Sponges | |
03:43 | don't have neurons yet somehow they can still coordinate their | |
03:47 | cells to squeeze water through their bodies or close up | |
03:50 | to shield themselves from predators . Instead , we think | |
03:53 | peripheral cells can send electrical and chemical signals to each | |
03:57 | other . Somehow we're still working on how then between | |
04:02 | whatever . Not really a nervous system . Sponges have | |
04:04 | going on and animals with heads full of brains more | |
04:08 | like ours . We have animals like 10 offers and | |
04:11 | Nigerians , the file A . Of comb jellies and | |
04:14 | jellyfish , respectively . Like sponges , neither comb jellies | |
04:18 | nor jellyfish have a brainy mission control in their head | |
04:22 | , but they do have a diffuse network of ganglia | |
04:25 | and nerves spread throughout their body called a neural net | |
04:29 | . While a neural net seems like the next evolutionary | |
04:33 | step up from nerveless sponges . Remember we're still trying | |
04:37 | to figure out the animal family tree , so if | |
04:40 | once and only once upon a time , the last | |
04:45 | common ancestor of all medicines evolved a nervous system that | |
04:49 | would mean all animals inherited the same basic nervous system | |
04:53 | . So studying 10 offers could help us understand early | |
04:57 | stages of nervous system evolution . For example , It | |
05:00 | would mean that ancient sponges probably had a more complex | |
05:04 | nervous system like 10 offers in the past , but | |
05:07 | lost it at some point . Or maybe nervous systems | |
05:11 | evolved twice once in a lineage containing Nigerians and military | |
05:16 | ins And once in 10 offers , which is a | |
05:19 | compelling theory because the 10-4 nervous system is just so | |
05:23 | strange . Like they don't have the genes or the | |
05:26 | proteins to make most of the neuro transmitters , The | |
05:29 | chemical signals that neurons send to each other that all | |
05:33 | other animals use like dopamine and serotonin . And if | |
05:37 | 10 offers came up with a nervous system all on | |
05:39 | their own , it leads to some interesting questions about | |
05:43 | who were the first animals to diverge from the rest | |
05:46 | , which until recently we were pretty sure were the | |
05:49 | sponges . So finding an answer could reshape the entire | |
05:53 | animal family tree . We do know that central brains | |
05:58 | bundles of ganglia stuffed into ahead show up on the | |
06:02 | Villa terrian branch of the tree , which are all | |
06:04 | the animals with mirror image symmetry . All but four | |
06:08 | of the 35 Fila are on this branch . So | |
06:12 | there's a huge variety of military in brains , like | |
06:16 | arthropods , Arbilla Terrians that pack a lot of brainpower | |
06:20 | into a tiny space . For example , insects have | |
06:24 | a brain in their head , pack more ganglia under | |
06:27 | and behind their esophagus And have a few more distributed | |
06:30 | throughout their body . Other billet , Terrians , like | |
06:33 | core dates and cephalopods tend to be much larger and | |
06:37 | can have much larger brains . At least 80% of | |
06:40 | brain size is determined by an animal's body size , | |
06:44 | but that last 20% that comes from things like sex | |
06:48 | , age and genetics can tip the scales unexpectedly . | |
06:52 | So to compare brains , zoologists can use something called | |
06:56 | the encephalitis station quotient or EQ , which is how | |
07:00 | much bigger or smaller in animals . Brain is compared | |
07:04 | to what we expect for its body size . An | |
07:06 | animal with a brain that's the expected size has an | |
07:09 | eQ of one . A mouse has an eQ of | |
07:13 | 0.5 , meaning that its brain is only half the | |
07:16 | size of what we predict . Dolphins have brains about | |
07:19 | four times as big as we'd expect . So their | |
07:22 | eQ is four . Of course . We devised the | |
07:25 | system and we calculated a species predicted brain size using | |
07:30 | just data from fellow mammals . So maybe it's not | |
07:33 | surprising it makes us look good . Humans have over | |
07:37 | seven times more brains than we predict , given our | |
07:41 | body size . But other fila , which have brains | |
07:44 | that might be wired in fundamentally different ways , could | |
07:47 | be playing by different brain to body size rules like | |
07:51 | octopuses have a large central brain , but two thirds | |
07:55 | of the neurons are in their super smart arms . | |
07:58 | Intelligence , which to us humans means being able to | |
08:02 | acquire knowledge and skills to do something with them is | |
08:05 | tricky to talk about and even trickier to measure , | |
08:09 | especially in non human animals . Often when we hear | |
08:12 | about non human animals being smart , it's because they | |
08:16 | can do things that humans do like paint or open | |
08:19 | a jar or solve a puzzle . But lots of | |
08:22 | other non human animals are smart in their own way | |
08:25 | and have ample brainpower to do all the things they | |
08:28 | need to do to survive and thrive . So if | |
08:31 | we had to animals say like an elephant and a | |
08:34 | honeybee who's smarter , let's go to the thought bubble | |
08:39 | . Instead of focusing on human like tasks , we | |
08:42 | could test something that both humans and most non human | |
08:45 | animals would agree is important . Being able to tell | |
08:49 | close relatives from strangers and adjust your behavior . Under | |
08:53 | this criteria , a lot of animals passed the test | |
08:57 | . Both elephants and honeybees can tell some individuals from | |
09:00 | others which is helpful for managing a hive or a | |
09:04 | herd . So this round is a draw . In | |
09:06 | the second round we could compare brain size . Obviously | |
09:11 | a honeybees brain is literally a lot smaller than an | |
09:14 | elephants , but a honeybees brain is about 4% of | |
09:17 | their total body mass , whereas an elephants is only | |
09:20 | about 0.18% . Brain size can be tricky though because | |
09:25 | it includes neurons but also other stuff like water . | |
09:28 | So in round three we can compare the smarts of | |
09:32 | elephants and honeybees by testing their neurological processing power , | |
09:36 | Which is basically counting how many neurons they have more | |
09:40 | neurons means more processing power or potential for intelligence . | |
09:44 | A honeybee has 960,000 neurons while our elephant has 257 | |
09:51 | billion neurons . So the elephant easily takes this round | |
09:55 | . Generally counting neurons works pretty well Until we realize | |
09:59 | bigger brains usually also naturally have more neurons in our | |
10:04 | fourth and final round , we can refine our counts | |
10:08 | and compare the number of neurons and animal has relative | |
10:11 | to how big it is when we do that . | |
10:14 | Honey bees have 200 times as many brain cells relative | |
10:18 | to body size as our elephant with billions of neurons | |
10:22 | . So who's really the smart one ? Both the | |
10:25 | honeybee and the elephant can get around feed themselves and | |
10:29 | manage a complicated social life . The elephant has a | |
10:32 | bigger cognitive engine overall , but the bees engine is | |
10:35 | much bigger for its body . Thanks thought bubble , | |
10:39 | measuring intelligence and animals is hard because we have to | |
10:43 | grapple with the fact that intelligence means different things to | |
10:47 | different animals and we have to design tests that match | |
10:50 | some animal lineages even seem to have given brains a | |
10:54 | try and then decided they weren't all that great , | |
10:57 | losing them over time . Like sea urchins , sea | |
11:00 | stars and other akin to terms it kind of terms | |
11:03 | of today's world have radial cemetery , which means they're | |
11:06 | symmetric around a central point . But we know they | |
11:10 | evolved from bilaterally symmetrical animals and most military ins have | |
11:15 | heads which tend to get filled with some sort of | |
11:17 | brain . So ancient aquino terms probably had brains , | |
11:21 | but modern ones have simple neural nets running from each | |
11:25 | arm to their mouth in the center . A less | |
11:29 | complex nervous system was all that ancestor needed for their | |
11:32 | filter feeding lifestyle . And for animals that don't need | |
11:35 | to do a lot of thinking or other complex tasks | |
11:38 | . Having a big brain isn't only pointless . It | |
11:41 | can be a liability . Brains are incredibly active organs | |
11:45 | and need fuel to function . Our brains are only | |
11:48 | about 2% of our body weight , but use about | |
11:51 | 20% of our energy . That's a lot of energy | |
11:55 | to sink into an organ you might not need like | |
11:57 | every other part of an animal , brains and nervous | |
12:00 | systems evolve over time in response to the challenges in | |
12:03 | an animal's environment and lifestyle . And sometimes it's much | |
12:07 | smarter to have a tiny , simple brain than a | |
12:10 | big complicated one . Next episode will look into one | |
12:14 | of the senses that the brain uses to gather information | |
12:17 | about an animal's environment . See you there , its | |
12:22 | site , we're going to talk about site . Thanks | |
12:24 | for watching this episode of Crash course ideology , which | |
12:27 | was produced by complexity and partnership with PBS and Nature | |
12:30 | . It's shot on the team Sandoval Pierre stage and | |
12:33 | made with the help of all of these nice people | |
12:35 | . If you'd like to help keep crash course free | |
12:37 | for everyone forever , you can join our community on | |
12:40 | Patreon . |
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