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It creeps!
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It crawls!
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It's this big,
blobby yellow thing.
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It's slime mold!
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A slithering shape-shifter
like no other on this planet.
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AUDREY DUSSUTOUR It reminded us
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of this alien organism
from a '50s movie
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that ate people.
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"The Blob"!
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This one-celled
wonder has no brain.
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No brain, no organs, no neurons.
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Yet it's able to do
some of the behaviors
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we normally associate
with animals with brains.
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How does it solve a maze?
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It is amazing.
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Escape captivity?
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Compete for resources?
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Build efficient networks?
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You start to think,
does this organism
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possess intelligence?
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All of these are
fundamental components
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to being smart.
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No brain?
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No problem.
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Clearly now, we see
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that this can be
done by one cell.
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Can this ancient
organism shed new light
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on the evolutionary
origins of intelligence?
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We can think of them as
how intelligence started
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way back.
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"The Secret Mind of Slime,"
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next, on "NOVA."
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Lurking in the forest's
shadowy undergrowth
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lies an unlikely predator.
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It creeps along,
stalking its prey.
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Yet it is not an animal.
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It has a fondness for
dark, humid places,
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00:02:02,467 --> 00:02:04,227
yet it is not a fungus
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nor a plant.
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It's a single-celled organism,
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but not a bacterium.
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It's known as slime mold.
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It has no eyes, no
mouth, no stomach,
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no legs.
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Yet it can "see," "smell,"
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and move around
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through its pulsating
network of veins,
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gorging itself on bacteria,
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fungi,
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00:02:38,019 --> 00:02:39,711
yeasts,
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and growing exponentially.
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This strange yet humble
creature holds secrets that have
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biologists, neuroscientists,
and mathematicians
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scratching their heads.
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Because this organism, without
a brain or a nervous system,
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seems capable of making choices,
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solving complex problems,
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and devising strategies.
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And it is forcing scientists
to rethink intelligence
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as something that does
not imply a need for a brain.
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Tanya Latty is a researcher
at the University of Sydney
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who studies slime mold.
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You can find slime
mold all over the place.
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They're in leaf litter,
they're in the soil,
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they're on bits of wood.
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They're small structures that
almost look like mushrooms.
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00:03:44,776 --> 00:03:49,332
Not only is Tanya an
expert on slime mold,
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she's one of its biggest fans.
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How could you not love them?
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It's this big, blobby,
yellow thing, you know,
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it's just fundamentally cool.
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I stand by that!
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"Slime Mold Identification
and Appreciation."
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There it is.
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She even follows
them on Facebook.
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The spores are gorgeous.
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They're, they're beautiful.
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The slime molds might be
one of the most abundant things
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in the soil.
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There are spores everywhere.
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Biologists have puzzled
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over where exactly
this creature fits
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00:04:25,851 --> 00:04:28,337
into the great tree of life.
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Slime molds branched
off from that tree
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before the plants, the
fungi, and the animals.
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They're single-celled organisms,
but the type of cell they have
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is quite different
from bacteria.
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00:04:41,384 --> 00:04:44,974
There's at least 900
different species of slime mold
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that we know about,
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00:04:46,355 --> 00:04:48,322
and that number is probably
a massive underestimate.
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The slime mold most
people think about
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is Physarum polycephalum.
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It's bright yellow,
it grows really fast,
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and it's become
kind of our lab rat
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most scientists are studying,
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probably because
it's the easiest one
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to grow in the lab.
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00:05:06,616 --> 00:05:10,931
Some of them have great
names, like the Dog's Vomit.
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00:05:11,000 --> 00:05:15,798
They also come in reds and
grays and browns and white.
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Tanya was a latecomer
to slime mold research.
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00:05:23,219 --> 00:05:28,155
She began her career
studying the behavior of insects.
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I'm an entomologist by training.
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I work with ants,
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bees, and other invertebrates.
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But ten years ago,
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while researching bees
at Hokkaido University,
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she had a chance
encounter with slime mold
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through one of the most
respected experts in the field:
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Professor Toshiyuki Nakagaki.
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Slime mold is a serious
subject of study in Japan,
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one going back generations.
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The Emperor Hirohito himself
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was a learned biologist
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who established a
taxonomy of slime mold,
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and even discovered a
new species of the organism.
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In my research, I focus
on this single, simple cell
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through the disciplines
of physics and math.
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I was able to see how
he was doing things
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and learn a little bit
about the slime mold.
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Toshiyuki had been studying
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how this curious
organism would react
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when faced with a challenge
traditionally posed to animals.
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He did some of the first
really awesome experiments
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on slime molds solving mazes.
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Could a slime mold find food
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placed at the far
end of a labyrinth?
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I had never even heard of
slime mold before I took this job.
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00:07:07,116 --> 00:07:10,913
So here you have this organism
that has no brain, no organs,
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00:07:10,982 --> 00:07:13,363
no neurons of any kind.
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00:07:13,433 --> 00:07:16,228
Yet it's able to do
some of the behaviors
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00:07:16,297 --> 00:07:19,646
we normally associate
with animals with brains.
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It is mysterious.
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Astounding.
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Solving a maze is amazing.
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How can a single-celled organism
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have such a capacity?
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Toshiyuki has devoted his
career to studying this question.
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I mean, when you think about it,
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99% of the living things
on our planet are brainless.
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00:08:01,515 --> 00:08:04,518
But they need to find food,
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00:08:04,587 --> 00:08:07,521
they need to find partners
to reproduce often.
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They may need to
hide from predators.
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How do you do all of that
when you don't have a brain?
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When I came back
to Australia, I thought
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it would be awesome to
have one of these as a lab pet.
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And it lived in my
desk for a few weeks.
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I started to notice
that it was doing things
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a lot like my ants were doing.
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So she introduced Physarum
to one of her colleagues,
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00:08:41,935 --> 00:08:44,593
Audrey Dussutour.
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I was a post-doc in Australia
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studying nutrition in ants.
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It looked like an old omelet.
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The next day, it had escaped
from the box we had put him in.
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It reminded us
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00:09:01,126 --> 00:09:04,509
of this alien organism
from a '50s movie
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00:09:04,578 --> 00:09:06,925
that ate people...
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And grew and grew as it ate.
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It's unstoppable, it just
kind of keeps coming.
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And then the world could fall
before the blood-curdling threat
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of "The Blob"!
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Physarum doesn't eat people.
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It eats oatmeal, but
it's really a glutton.
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It doubles in size every day.
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I nicknamed it "Blob."
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Physarum began consuming
their time and attention.
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And soon, Tanya and Audrey
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shifted the focus
of their research
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to this remarkable creature,
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so radically different than
any other they'd studied,
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with abilities beyond
what could be expected
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from a single cell,
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beginning with an
unmistakable knack
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for finding food.
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Slime molds have receptors
all over the cell body.
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And that allows them to detect
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00:10:07,503 --> 00:10:09,678
different chemicals
in the environment.
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It's very similar to
our sense of smell.
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We have receptors in our noses,
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00:10:14,165 --> 00:10:16,443
and we're actually
detecting chemicals
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coming off of
our food in the air.
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Slime molds are
doing the same thing,
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but they're doing it through the
soil or through a liquid medium.
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Like the surface
of a petri dish.
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They're able to sense
the chemical cue
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and that's what draws
them towards the food.
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Slime mold's receptors
sense a wide range
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of these cues in
their environment.
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It can detect moisture
and perceive the pH.
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00:10:42,814 --> 00:10:47,025
It can perceive light
because it has photoreceptors.
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00:10:47,094 --> 00:10:49,683
So even though it is a
single cell, it is, all at once,
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an eye, nose, ear, and so on.
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But it was how Physarum
used these senses
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that captured their attention:
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00:11:00,556 --> 00:11:04,180
an awareness of its environment;
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00:11:04,249 --> 00:11:06,217
an ability to navigate;
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and how it moved
with seeming purpose.
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00:11:12,775 --> 00:11:14,432
Here's an organism
that knows how to react
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00:11:14,501 --> 00:11:18,436
and adapt to its environment,
consistently and efficiently.
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00:11:18,505 --> 00:11:22,060
They knew that
Physarum's receptors
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00:11:22,129 --> 00:11:24,545
allowed it to react
to different stimuli.
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00:11:24,614 --> 00:11:27,928
It will move towards a
substance, like sugar,
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00:11:27,997 --> 00:11:32,726
but it will also move away
from certain substances, like salt.
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00:11:32,795 --> 00:11:37,489
But was Physarum simply
reacting to these stimuli?
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00:11:37,558 --> 00:11:43,461
Or was it using these receptors
to do something more complex?
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00:11:43,530 --> 00:11:45,187
Was it taking in
this information
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00:11:45,256 --> 00:11:47,189
about its environment
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00:11:47,258 --> 00:11:49,916
and making choices?
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00:11:51,780 --> 00:11:54,506
So for their first experiment,
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00:11:54,575 --> 00:11:55,645
they would present Physarum
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00:11:55,715 --> 00:11:59,097
with one of the
most basic choices
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00:11:59,166 --> 00:12:01,548
facing any living organism...
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00:12:01,617 --> 00:12:03,067
what to eat.
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00:12:03,136 --> 00:12:07,347
We can offer it a choice
between different food sources.
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00:12:07,416 --> 00:12:09,521
The purpose of this experiment
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00:12:09,590 --> 00:12:12,248
was to see how Physarum
regulates its nutritional needs.
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00:12:12,317 --> 00:12:16,114
But before they
could even begin,
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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
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00:12:25,503 --> 00:12:28,989
of micro-organisms
from the forest floor.
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00:12:30,715 --> 00:12:33,028
But in laboratories
around the world,
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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.
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00:12:40,829 --> 00:12:42,313
And that's good for them,
but for this experiment,
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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.
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00:12:52,495 --> 00:12:53,876
Making their
Australian laboratory
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00:12:53,945 --> 00:12:56,845
seem more like
a British bake-off.
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00:13:00,020 --> 00:13:01,608
We had to do a lot of
different mixing and cooking
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00:13:01,677 --> 00:13:02,920
to figure out
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00:13:02,989 --> 00:13:04,922
the ratio of proteins
to carbohydrates
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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.
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00:13:09,961 --> 00:13:12,757
We created these
sort of crèmes brûlées.
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00:13:12,826 --> 00:13:17,866
We called them custards.
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00:13:17,935 --> 00:13:20,247
35 different recipes.
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00:13:20,316 --> 00:13:23,906
Each had a particular
ratio of protein to sugar.
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00:13:23,975 --> 00:13:28,808
To determine which of
these recipes was best,
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00:13:28,877 --> 00:13:31,741
the judge in this test kitchen
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00:13:31,811 --> 00:13:33,813
was Physarum.
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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,
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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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