WEBVTT

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[SQUEAKING]

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[RUSTLING]

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[CLICKING]

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JOSH MCDERMOTT: All right.

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Let's talk about perception.

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So perception is the
task of determining

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what is out there in the
world from sensory input.

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So as an organism,
you need to know

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what's happening around you.

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And things in the world,
they give off different types

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of clues to their existence.

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And organisms have sensory
organs that detect these clues.

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And the nature of the
clues is different

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for the different senses.

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So in vision, photons
that originate

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at some kind of light
source reflect off objects

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and are absorbed by the eye.

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And the pattern of
photons gives you

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information about the objects
that they reflected off.

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In hearing, objects cause
vibrations in the air.

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They travel through the air.

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And they're absorbed
and measured by the ear.

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With the sense of touch,
we bump into things,

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intentionally or
unintentionally.

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And that stimulates
receptors in your skin

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that respond to pressure
and other things.

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With the sense of
taste, we lick things.

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And molecules that are contained
in the substances that we lick

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interact with the taste
receptors in your tongue.

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And turns out they also interact
with the olfactory receptors

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in your nose, as we'll learn.

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And with the sense of smell,
substances in the world

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give off molecules that
float through the air

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and interact with the receptors
that are in your nose.

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OK.

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So we've got these
sensory organs

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that measure these
different types of clues

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that are coming from the world.

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Now, the task of
perception is to take input

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from these sensory receptors,
and then, with that input,

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figure out what is out
there in the world.

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So the first
important point I want

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you to take away
from this lecture

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is that perception
is deceptively hard.

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Now, normally, you
just open your eyes

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or you listen and
you effortlessly

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apprehend the world around you.

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I look out at you all.

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And I'm seeing all these
chairs, and people in them,

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and people looking at me.

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And I don't really have to
try to do it most of the time.

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It just kind of happens.

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And this often makes
it non-obvious,

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all of the complicated
stuff is going

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on that actually enables us to
derive that kind of information

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about the world.

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And one way to get some
perspective on this

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is to actually view
the sensory input

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in a slightly different way.

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And so here, what
we have is an image.

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But instead of representing it
like a normal image, where there

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will be pigmentation on the
screen at a particular point,

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here we have numbers.

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So this is a grayscale image.

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And the number here
represents the gray level

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at a particular
point in the image.

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So you can think of this
as if you snapped a picture

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with your phone.

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And if it was a black
and white camera,

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this is what the CCD from your
phone camera would output.

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It's an array of numbers.

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And so your task here is
to take input like this,

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and then to figure out what's
out there in the world.

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And so when you look
at it like this,

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it makes it clear that,
well, this is actually

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kind of non-obvious, because
normally what happens

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is when you look at the
image, well, your brain

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is doing its thing.

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So there's all this
complicated stuff that happens.

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And that causes you to see.

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But it all starts with this.

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Now, when you talk to
people on the street

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and you tell them that you
study, for instance, vision,

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they often think that
you must work on the eye.

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So here's the eye.

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So the eye is amazing.

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The eye is this
incredible device

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that evolved to form an image
and to measure that image.

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So we've got a lens there.

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Light passes through the
cornea, and then the lens.

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And it gets focused onto
an image on the back

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of the eye called the retina.

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So this is a close-up
schematic view

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of a little piece of the retina.

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So the light rays
come through here.

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So one weird thing
about the retina

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is that it actually
is, in a certain sense,

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wired up backwards.

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And so the light has to pass
through a whole bunch of stuff.

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But then it eventually gets
to the things up at the top.

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Those are the photoreceptors.

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And so the photoreceptors
are a special type of cell

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that absorb photons, and then
take that absorbed photon

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and turn that into
a change in voltage.

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So they take light and they turn
it into an electrical signal.

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All right.

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And so this is happening across
the entire retinal image.

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And so you effectively get
a spatial array of voltages.

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So it's really analogous
to this array of numbers

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here, except that it's
happening in your eye.

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So you can think of
your eye as something

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that is measuring light, turning
that into a bunch of numbers,

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and then sending that through
the optic nerve to your brain.

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So that's just the
start of it, though.

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So the eyes just measure light.

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They don't interpret it for you.

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And that's really
the job of the brain.

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And so one piece of
evidence that this

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is a pretty complicated
thing comes from the fact

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that really a large
fraction of the brain

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is devoted to seeing,
so roughly 50%,

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depending on how you measure
it in humans, more in monkeys.

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There's another pretty big
piece that's devoted to hearing.

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So there's very similar
issues with audition.

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So just listen to this
particular sound signal.

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[AUDIO PLAYBACK]

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[INTERPOSING VOICES]

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[END PLAYBACK]

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JOSH MCDERMOTT: OK, so
what did you just hear?

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Yeah, just shout it out.

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AUDIENCE: Background noise.

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JOSH MCDERMOTT: Some
background noise?

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Yeah, there was some
background noise.

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Yeah, what else?

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AUDIENCE: A question.

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JOSH MCDERMOTT: Yeah,
somebody asking a question.

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Yeah.

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How many people were
talking in that?

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AUDIENCE: Two.

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AUDIENCE: At least two.

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AUDIENCE: Four.

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JOSH MCDERMOTT: Two or three.

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OK, yeah.

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What kind of-- where do you
think that was recorded?

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AUDIENCE: A restaurant.

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JOSH MCDERMOTT:
A restaurant, OK.

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All right, so just
from listening to that,

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you just immediately know
all these things that

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are happening in the world.

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But the sensory input that--

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[AUDIO PLAYBACK]

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[INTERPOSING VOICES]

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[END PLAYBACK]

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JOSH MCDERMOTT: Oops, kill that.

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The sensory input
that you received

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was a pressure waveform.

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So there was a sound signal.

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It started off in my computer.

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And it traveled to the
speakers in this room.

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And there was a diaphragm
that wiggled back and forth.

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The sound wave traveled
through the air.

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And it caused pressure
variation at your eardrum.

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And that made your eardrum
wiggle back and forth

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in some particular pattern.

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So you can think
of this waveform

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here as the eardrum displacement
as a function of time.

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But really, at some level, it's
just a time series of numbers.

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And so from that time
series of numbers,

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you were able to determine
all those things about what

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was going on in the world
to cause that signal when

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it was recorded.

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And that's your brain
doing its thing.

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So the ear, kind of
analogous to the eye,

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is a really remarkable
device for transducing

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the mechanical energy from sound
into electrical signals that

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get sent to the brain.

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So this is a
schematic of the ear.

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We've got the eardrum here.

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And then there's an
organ called the cochlea

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that ends up turning the sound
energy into electrical signals.

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But your brain then-- so
this is the auditory nerve,

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analogous to the optic nerve.

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And your brain then gets the
signals from the auditory nerve

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and does all this
complicated stuff

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to cause you to
hear what is there.

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All right.

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The second important
point that I

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want you to come out
of this lecture with

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is that perceptual problems
are usually ill-posed.

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So ill-posed means that
there's not enough information

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to uniquely determine the
answer to the problem.

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And most perceptual problems
actually are of this nature.

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So one classic example
derives from the fact

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that the world is
three dimensional.

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And we usually are
pretty good at correctly

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perceiving its
three-dimensional structure.

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So I can reach and
grab this coffee cup.

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And that requires that I
know the shape of the cup.

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Otherwise, I'd knock it over.

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Or my hand wouldn't be closed
tight enough, and so forth.

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And that's primarily something
that happens visually.

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Similarly, I know roughly
how far away each of you

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are from me and so forth.

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So we're pretty
good at perceiving

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three-dimensional structure.

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But the input to perception,
in particular to vision,

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is two-dimensional.

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We form an image on
the back of our eye.

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Now, we have two images, one for
the left and one for the right.

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And that actually is
part of the solution.

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But you can close one
eye and depth perception

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is still pretty good right.

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All right.

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So the depth information that
is there in the third dimension

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is lost in the projection
that forms images.

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And so there's lots of
different shapes, for instance,

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that have the same
three-dimensional--

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have the same 2D
projection onto an image.

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So each of these is like a
different three-dimensional

00:09:29.760 --> 00:09:32.920 align:middle line:84%
shape, but they line up
in just the right way

00:09:32.920 --> 00:09:35.288 align:middle line:84%
and would all cause
the same image.

00:09:35.288 --> 00:09:36.580 align:middle line:90%
There's lots of other examples.

00:09:36.580 --> 00:09:39.360 align:middle line:84%
This is another one that's
kind of interesting.

00:09:39.360 --> 00:09:43.040 align:middle line:84%
So this is a bunch
of moving dots.

00:09:43.040 --> 00:09:47.810 align:middle line:84%
And the same dot motion is
consistent with a whole bunch

00:09:47.810 --> 00:09:49.770 align:middle line:90%
of different possible objects.

00:09:49.770 --> 00:09:51.530 align:middle line:90%
So here, we have triangles.

00:09:51.530 --> 00:09:55.250 align:middle line:90%
Here, we've got some squares.

00:09:55.250 --> 00:09:56.550 align:middle line:90%
This is something else.

00:09:56.550 --> 00:09:59.330 align:middle line:90%


00:09:59.330 --> 00:10:01.050 align:middle line:90%
This is something else.

00:10:01.050 --> 00:10:03.910 align:middle line:84%
So it's exactly the
same the same motions.

00:10:03.910 --> 00:10:06.370 align:middle line:84%
But they could be
grouped differently

00:10:06.370 --> 00:10:09.930 align:middle line:84%
and either represent fixed
points of objects or things

00:10:09.930 --> 00:10:13.890 align:middle line:84%
that are moving
along other things.

00:10:13.890 --> 00:10:19.650 align:middle line:84%
Another classic example is
that of auditory scenes.

00:10:19.650 --> 00:10:22.050 align:middle line:84%
So usually in the
world, there will

00:10:22.050 --> 00:10:25.210 align:middle line:84%
be more than one thing that's
making sound at the same time.

00:10:25.210 --> 00:10:28.770 align:middle line:84%
And the vibrations that are
caused by different sound

00:10:28.770 --> 00:10:32.010 align:middle line:84%
sources-- so my voice and
the rustling of your neighbor

00:10:32.010 --> 00:10:34.970 align:middle line:84%
turning the page of their
notes, for instance--

00:10:34.970 --> 00:10:36.587 align:middle line:90%
they sum together at the ear.

00:10:36.587 --> 00:10:38.170 align:middle line:84%
So the signal that
you get at your ear

00:10:38.170 --> 00:10:40.890 align:middle line:84%
is a mixture of the
sounds that would

00:10:40.890 --> 00:10:45.850 align:middle line:84%
have been caused by the
individual events on their own.

00:10:45.850 --> 00:10:48.250 align:middle line:84%
But as an organism, typically,
what you want to hear

00:10:48.250 --> 00:10:50.870 align:middle line:84%
and what you need to hear
are the individual sounds.

00:10:50.870 --> 00:10:52.770 align:middle line:84%
You need to understand
what I'm saying.

00:10:52.770 --> 00:10:55.570 align:middle line:84%
You want to understand whether
somebody is turning the page,

00:10:55.570 --> 00:10:58.890 align:middle line:84%
or walking close to you,
or whatever it may be.

00:10:58.890 --> 00:11:00.410 align:middle line:84%
And so the problem
that you really

00:11:00.410 --> 00:11:05.170 align:middle line:84%
have to solve there is akin
to me giving you this equation

00:11:05.170 --> 00:11:07.755 align:middle line:90%
and asking you to solve for x.

00:11:07.755 --> 00:11:09.130 align:middle line:84%
And so if I put
that on the exam,

00:11:09.130 --> 00:11:10.410 align:middle line:84%
you're all going to
complain because there

00:11:10.410 --> 00:11:11.750 align:middle line:90%
isn't a unique solution.

00:11:11.750 --> 00:11:14.490 align:middle line:84%
There's lots of different
combinations of x and y

00:11:14.490 --> 00:11:16.530 align:middle line:84%
that could sum to
the same number--

00:11:16.530 --> 00:11:18.672 align:middle line:90%
one equation, two unknowns.

00:11:18.672 --> 00:11:20.130 align:middle line:84%
But that's exactly
the problem that

00:11:20.130 --> 00:11:23.010 align:middle line:84%
is happening when you
have a mixture of sounds

00:11:23.010 --> 00:11:27.730 align:middle line:84%
and you have to understand
one or more of them.

00:11:27.730 --> 00:11:31.950 align:middle line:84%
And so somehow, in the case of
this auditory scene problem,

00:11:31.950 --> 00:11:35.570 align:middle line:84%
we can usually hear the
constituent sounds reasonably

00:11:35.570 --> 00:11:36.188 align:middle line:90%
well.

00:11:36.188 --> 00:11:37.730 align:middle line:84%
And maybe the classic
example of this

00:11:37.730 --> 00:11:41.420 align:middle line:84%
is what's called the
cocktail party problem.

00:11:41.420 --> 00:11:45.435 align:middle line:84%
How many people know
what movie this is from?

00:11:45.435 --> 00:11:47.220 align:middle line:84%
AUDIENCE: Breakfast
at Tiffany's.

00:11:47.220 --> 00:11:48.200 align:middle line:84%
JOSH MCDERMOTT:
Breakfast at Tiffany's.

00:11:48.200 --> 00:11:48.908 align:middle line:90%
Yeah, you got it.

00:11:48.908 --> 00:11:50.660 align:middle line:90%
Yeah, good.

00:11:50.660 --> 00:11:56.420 align:middle line:84%
Yeah, it's classic,
Audrey Hepburn.

00:11:56.420 --> 00:12:00.255 align:middle line:84%
So at a cocktail
party, you're often

00:12:00.255 --> 00:12:01.380 align:middle line:90%
trying to talk to somebody.

00:12:01.380 --> 00:12:03.338 align:middle line:84%
So there's somebody who
you want to understand.

00:12:03.338 --> 00:12:05.753 align:middle line:84%
And so maybe it's
somebody saying this--

00:12:05.753 --> 00:12:06.420 align:middle line:90%
[AUDIO PLAYBACK]

00:12:06.420 --> 00:12:08.300 align:middle line:90%
- She argues with her sister.

00:12:08.300 --> 00:12:09.483 align:middle line:90%
[END PLAYBACK]

00:12:09.483 --> 00:12:11.400 align:middle line:84%
JOSH MCDERMOTT: And next
to that is a picture.

00:12:11.400 --> 00:12:13.855 align:middle line:84%
It's a way of turning a
sound into a picture, very

00:12:13.855 --> 00:12:15.480 align:middle line:84%
similar to what's
called a spectrogram.

00:12:15.480 --> 00:12:18.800 align:middle line:84%
So we have frequency on the
y-axis and time on the x-axis.

00:12:18.800 --> 00:12:21.100 align:middle line:84%
So there's all this structure
in that speech signal

00:12:21.100 --> 00:12:22.552 align:middle line:84%
that allows you
to understand what

00:12:22.552 --> 00:12:23.760 align:middle line:90%
the person was trying to say.

00:12:23.760 --> 00:12:26.580 align:middle line:84%
But the problem that
you might encounter

00:12:26.580 --> 00:12:29.153 align:middle line:84%
is that what actually enters
your ears might be this.

00:12:29.153 --> 00:12:29.820 align:middle line:90%
[AUDIO PLAYBACK]

00:12:29.820 --> 00:12:30.653 align:middle line:90%
[INTERPOSING VOICES]

00:12:30.653 --> 00:12:31.580 align:middle line:90%
[END PLAYBACK]

00:12:31.580 --> 00:12:33.788 align:middle line:84%
JOSH MCDERMOTT: There's
another person talking there.

00:12:33.788 --> 00:12:36.745 align:middle line:84%
And so now, that picture
is kind of complicated,

00:12:36.745 --> 00:12:38.620 align:middle line:84%
because it's got these
two sound signals that

00:12:38.620 --> 00:12:40.050 align:middle line:90%
are on top of each other.

00:12:40.050 --> 00:12:43.150 align:middle line:84%
But it could also
be that there's even

00:12:43.150 --> 00:12:44.790 align:middle line:90%
more people talking.

00:12:44.790 --> 00:12:45.650 align:middle line:90%
[AUDIO PLAYBACK]

00:12:45.650 --> 00:12:46.080 align:middle line:90%
[INTERPOSING VOICES]

00:12:46.080 --> 00:12:46.663 align:middle line:90%
[END PLAYBACK]

00:12:46.663 --> 00:12:49.870 align:middle line:84%
JOSH MCDERMOTT: Or even
seven other people talking--

00:12:49.870 --> 00:12:50.557 align:middle line:90%
[AUDIO PLAYBACK]

00:12:50.557 --> 00:12:51.390 align:middle line:90%
[INTERPOSING VOICES]

00:12:51.390 --> 00:12:52.030 align:middle line:90%
[END PLAYBACK]

00:12:52.030 --> 00:12:54.450 align:middle line:84%
JOSH MCDERMOTT: So by the
time you get down to here,

00:12:54.450 --> 00:12:56.370 align:middle line:84%
it's really a
pretty serious mess.

00:12:56.370 --> 00:12:58.870 align:middle line:84%
But you could
hopefully probably tell

00:12:58.870 --> 00:13:02.430 align:middle line:84%
that you had a pretty good
ability to actually hear out

00:13:02.430 --> 00:13:06.650 align:middle line:84%
that target voice
throughout these examples.

00:13:06.650 --> 00:13:09.530 align:middle line:90%


00:13:09.530 --> 00:13:12.110 align:middle line:84%
So in general, in
many cases, speech

00:13:12.110 --> 00:13:15.652 align:middle line:84%
remains intelligible, despite
the presence of other speakers.

00:13:15.652 --> 00:13:17.110 align:middle line:84%
This is a problem
that humans still

00:13:17.110 --> 00:13:19.950 align:middle line:84%
solve substantially
better than machines.

00:13:19.950 --> 00:13:22.070 align:middle line:84%
So present day speech
recognition algorithms,

00:13:22.070 --> 00:13:24.870 align:middle line:84%
like in your iPhone, they
work pretty great now,

00:13:24.870 --> 00:13:26.350 align:middle line:90%
if you're in a quiet room.

00:13:26.350 --> 00:13:29.950 align:middle line:84%
But in a situation where there's
a lot of other people talking,

00:13:29.950 --> 00:13:33.470 align:middle line:84%
they'll typically
still perform poorly.

00:13:33.470 --> 00:13:39.560 align:middle line:84%
OK, so that's another example
of an ill-posed problem.

00:13:39.560 --> 00:13:42.240 align:middle line:84%
So one of the amazing
things about perception

00:13:42.240 --> 00:13:44.960 align:middle line:84%
is that, despite the fact that
we're constantly confronted

00:13:44.960 --> 00:13:47.840 align:middle line:84%
with these ill-posed problems,
which means that there's not

00:13:47.840 --> 00:13:51.280 align:middle line:84%
usually a unique
solution, usually

00:13:51.280 --> 00:13:53.920 align:middle line:84%
we arrive at a single
unambiguous interpretation

00:13:53.920 --> 00:13:56.560 align:middle line:90%
of a stimulus.

00:13:56.560 --> 00:13:58.360 align:middle line:90%
So you just open your eyes.

00:13:58.360 --> 00:13:59.580 align:middle line:90%
And you see what's there.

00:13:59.580 --> 00:14:00.820 align:middle line:90%
And it's usually correct.

00:14:00.820 --> 00:14:03.320 align:middle line:84%
Again, this is what enables you
to pick things up, and avoid

00:14:03.320 --> 00:14:06.880 align:middle line:84%
running into things,
and so forth.

00:14:06.880 --> 00:14:11.080 align:middle line:84%
There are, however,
interesting cases where

00:14:11.080 --> 00:14:12.800 align:middle line:90%
perception can be ambiguous.

00:14:12.800 --> 00:14:16.220 align:middle line:84%
And those often suddenly give
you this insight into, oh yeah,

00:14:16.220 --> 00:14:19.160 align:middle line:84%
it's not always
completely determined.

00:14:19.160 --> 00:14:22.180 align:middle line:84%
So this kind of
looks like a cat.

00:14:22.180 --> 00:14:23.380 align:middle line:90%
Wait, actually, no, hang on.

00:14:23.380 --> 00:14:25.800 align:middle line:90%
That's a crow, right?

00:14:25.800 --> 00:14:26.940 align:middle line:90%
I don't know which it is.

00:14:26.940 --> 00:14:28.400 align:middle line:90%
It could be either.

00:14:28.400 --> 00:14:30.220 align:middle line:84%
This one kind of
makes your brain hurt.

00:14:30.220 --> 00:14:32.940 align:middle line:90%


00:14:32.940 --> 00:14:34.500 align:middle line:90%
Which way is this person facing?

00:14:34.500 --> 00:14:39.833 align:middle line:90%


00:14:39.833 --> 00:14:41.250 align:middle line:84%
AUDIENCE: I'm going
to say they're

00:14:41.250 --> 00:14:43.653 align:middle line:84%
facing forward and holding
up a cutout piece of paper.

00:14:43.653 --> 00:14:45.070 align:middle line:84%
JOSH MCDERMOTT:
It could be, yeah.

00:14:45.070 --> 00:14:45.670 align:middle line:90%
It could be.

00:14:45.670 --> 00:14:48.730 align:middle line:84%
But I kind of feel like the
person's looking that way.

00:14:48.730 --> 00:14:51.290 align:middle line:84%
Wait, actually, no,
they're looking that way.

00:14:51.290 --> 00:14:51.790 align:middle line:90%
Yeah.

00:14:51.790 --> 00:14:53.110 align:middle line:84%
And if you look at this
for a while, it may.

00:14:53.110 --> 00:14:54.110 align:middle line:90%
It may change.

00:14:54.110 --> 00:14:57.770 align:middle line:90%


00:14:57.770 --> 00:15:00.460 align:middle line:90%
What is this?

00:15:00.460 --> 00:15:02.890 align:middle line:90%
AUDIENCE: [INAUDIBLE]

00:15:02.890 --> 00:15:05.583 align:middle line:84%
JOSH MCDERMOTT: Is it a
dog or is it a person?

00:15:05.583 --> 00:15:08.541 align:middle line:90%
[INTERPOSING VOICES]

00:15:08.541 --> 00:15:16.570 align:middle line:90%


00:15:16.570 --> 00:15:19.312 align:middle line:84%
JOSH MCDERMOTT: And are
this person's legs shiny?

00:15:19.312 --> 00:15:21.970 align:middle line:90%
[INTERPOSING VOICES]

00:15:21.970 --> 00:15:24.570 align:middle line:84%
JOSH MCDERMOTT: How many
people think this looks shiny?

00:15:24.570 --> 00:15:26.673 align:middle line:90%
Yeah?

00:15:26.673 --> 00:15:28.090 align:middle line:84%
But I think what
actually happened

00:15:28.090 --> 00:15:29.590 align:middle line:90%
is this is suntan lotion.

00:15:29.590 --> 00:15:33.770 align:middle line:90%


00:15:33.770 --> 00:15:36.500 align:middle line:84%
So these, again, are
interesting examples

00:15:36.500 --> 00:15:40.420 align:middle line:84%
in the sense that they highlight
the fact that these problems are

00:15:40.420 --> 00:15:42.700 align:middle line:84%
ill-posed, because
there are these two

00:15:42.700 --> 00:15:46.180 align:middle line:84%
interpretations of the image,
things that could actually

00:15:46.180 --> 00:15:49.520 align:middle line:84%
be happening in the world, that
are consistent with the image.

00:15:49.520 --> 00:15:52.980 align:middle line:84%
So this person could have put
suntan lotion on their legs.

00:15:52.980 --> 00:15:57.060 align:middle line:84%
Or their legs could be
like wrapped in cellophane.

00:15:57.060 --> 00:16:00.060 align:middle line:84%
This could be a photo of a
dog or of a person running

00:16:00.060 --> 00:16:02.600 align:middle line:84%
into the woods with some
kind of backpack on.

00:16:02.600 --> 00:16:05.270 align:middle line:90%


00:16:05.270 --> 00:16:08.640 align:middle line:84%
This could be a face looking
forward or a face to the side

00:16:08.640 --> 00:16:09.640 align:middle line:90%
and so on and so forth.

00:16:09.640 --> 00:16:12.836 align:middle line:90%


00:16:12.836 --> 00:16:17.260 align:middle line:84%
So there's also these unusual
cases where individuals

00:16:17.260 --> 00:16:20.040 align:middle line:84%
may be confident in
their interpretation,

00:16:20.040 --> 00:16:22.360 align:middle line:84%
but they'll disagree
with other people.

00:16:22.360 --> 00:16:25.140 align:middle line:84%
So this was an example
that took the internet

00:16:25.140 --> 00:16:27.780 align:middle line:90%
by storm several years ago now.

00:16:27.780 --> 00:16:28.820 align:middle line:90%
It's the dress.

00:16:28.820 --> 00:16:31.420 align:middle line:84%
And there were all these fights
over whether the dress is

00:16:31.420 --> 00:16:34.780 align:middle line:84%
actually white and
gold or blue and black.

00:16:34.780 --> 00:16:36.900 align:middle line:84%
How many people think
it's white and gold?

00:16:36.900 --> 00:16:38.820 align:middle line:84%
How many people think
it's blue and black?

00:16:38.820 --> 00:16:39.900 align:middle line:90%
OK, yeah.

00:16:39.900 --> 00:16:41.620 align:middle line:90%
Disagreements.

00:16:41.620 --> 00:16:44.060 align:middle line:84%
So this is actually really
interesting because the fact

00:16:44.060 --> 00:16:49.020 align:middle line:84%
that people disagree about this
indicates or suggests that there

00:16:49.020 --> 00:16:53.180 align:middle line:84%
are different assumptions that
the white/gold people are making

00:16:53.180 --> 00:16:55.180 align:middle line:84%
about the world compared
with the black/blue.

00:16:55.180 --> 00:16:59.360 align:middle line:84%
And these assumptions are
made to resolve the ambiguity.

00:16:59.360 --> 00:17:04.260 align:middle line:84%
And in fact, that's one of the
central themes of perception,

00:17:04.260 --> 00:17:08.300 align:middle line:84%
is that the way that we are
able to solve these problems

00:17:08.300 --> 00:17:12.900 align:middle line:84%
is by making assumptions
about what the world is like.

00:17:12.900 --> 00:17:17.339 align:middle line:84%
And that constrains the
solution space hopefully enough

00:17:17.339 --> 00:17:20.057 align:middle line:84%
that you can reach
a unique solution.

00:17:20.057 --> 00:17:22.099 align:middle line:84%
The third important point
I want you to walk away

00:17:22.099 --> 00:17:25.660 align:middle line:84%
from this lecture with is
that perceptual systems

00:17:25.660 --> 00:17:28.920 align:middle line:90%
must be invariant.

00:17:28.920 --> 00:17:31.190 align:middle line:84%
And this is because
the sensory input that

00:17:31.190 --> 00:17:34.270 align:middle line:84%
is caused by a single
type of thing in the world

00:17:34.270 --> 00:17:36.870 align:middle line:90%
typically varies enormously.

00:17:36.870 --> 00:17:40.567 align:middle line:84%
So these are all
images of a car--

00:17:40.567 --> 00:17:42.150 align:middle line:84%
a car viewed from
different distances,

00:17:42.150 --> 00:17:44.670 align:middle line:84%
and different viewpoints,
and on different backgrounds.

00:17:44.670 --> 00:17:47.190 align:middle line:90%
They're all cars.

00:17:47.190 --> 00:17:52.790 align:middle line:84%
But the actual image that
is here and here and here

00:17:52.790 --> 00:17:53.810 align:middle line:90%
is totally different.

00:17:53.810 --> 00:17:55.370 align:middle line:90%
So that array of numbers--

00:17:55.370 --> 00:17:57.852 align:middle line:84%
If you think of this, that
image as an array of numbers,

00:17:57.852 --> 00:17:59.310 align:middle line:84%
it's going to be
totally different.

00:17:59.310 --> 00:18:00.950 align:middle line:84%
So the question is,
how do you actually

00:18:00.950 --> 00:18:04.350 align:middle line:84%
build something that can
take that array of numbers

00:18:04.350 --> 00:18:08.630 align:middle line:84%
and tell you that that is a
car given that the numbers are

00:18:08.630 --> 00:18:11.030 align:middle line:84%
changing so much from this
instance to this instance

00:18:11.030 --> 00:18:12.130 align:middle line:90%
to this instance?

00:18:12.130 --> 00:18:15.850 align:middle line:84%
So that's one of the key
problems of invariance.

00:18:15.850 --> 00:18:18.110 align:middle line:84%
And so somehow or
another, you're

00:18:18.110 --> 00:18:19.870 align:middle line:84%
immediately able to
look at these things

00:18:19.870 --> 00:18:22.495 align:middle line:84%
and tell each of these things is
a car and each of these things

00:18:22.495 --> 00:18:24.850 align:middle line:90%
is not.

00:18:24.850 --> 00:18:27.750 align:middle line:84%
The same problem
exists in speech.

00:18:27.750 --> 00:18:29.760 align:middle line:84%
So I'm going to play
you an example of what

00:18:29.760 --> 00:18:33.133 align:middle line:84%
we call dry speech, so without
a whole lot of reverberation.

00:18:33.133 --> 00:18:33.800 align:middle line:90%
[AUDIO PLAYBACK]

00:18:33.800 --> 00:18:35.480 align:middle line:90%
- They ate the lemon pie.

00:18:35.480 --> 00:18:36.817 align:middle line:90%
Father forgot the bread.

00:18:36.817 --> 00:18:37.400 align:middle line:90%
[END PLAYBACK]

00:18:37.400 --> 00:18:39.600 align:middle line:84%
JOSH MCDERMOTT: So this
now, the second thing

00:18:39.600 --> 00:18:41.420 align:middle line:84%
is going to be speech
and reverberation.

00:18:41.420 --> 00:18:42.087 align:middle line:90%
[AUDIO PLAYBACK]

00:18:42.087 --> 00:18:43.500 align:middle line:90%
- They ate the lemon pie.

00:18:43.500 --> 00:18:45.020 align:middle line:90%
Father forgot the bread.

00:18:45.020 --> 00:18:45.603 align:middle line:90%
[END PLAYBACK]

00:18:45.603 --> 00:18:48.103 align:middle line:84%
JOSH MCDERMOTT: That's like in
a subway station or something

00:18:48.103 --> 00:18:49.420 align:middle line:90%
or a really big bathroom.

00:18:49.420 --> 00:18:52.920 align:middle line:90%


00:18:52.920 --> 00:18:56.060 align:middle line:84%
The sound waveforms there
are now very, very different.

00:18:56.060 --> 00:18:57.648 align:middle line:84%
If you actually look
at spectrograms,

00:18:57.648 --> 00:18:59.440 align:middle line:84%
you can see the effect
of the reverberation

00:18:59.440 --> 00:19:02.160 align:middle line:84%
is to smear the
structure out in time.

00:19:02.160 --> 00:19:04.200 align:middle line:84%
So it's like a
massive distortion.

00:19:04.200 --> 00:19:05.742 align:middle line:84%
It's totally different
sound signals.

00:19:05.742 --> 00:19:07.742 align:middle line:84%
But you can listen to
them and tell that they're

00:19:07.742 --> 00:19:08.780 align:middle line:90%
saying the same thing.

00:19:08.780 --> 00:19:11.585 align:middle line:90%


00:19:11.585 --> 00:19:14.200 align:middle line:84%
Now, the ill-posed
nature of the problems

00:19:14.200 --> 00:19:16.880 align:middle line:84%
that your perceptual
systems have to solve

00:19:16.880 --> 00:19:20.280 align:middle line:84%
and the difficulty of acquiring
the right type of invariance

00:19:20.280 --> 00:19:22.640 align:middle line:84%
is why perceptual
problems present

00:19:22.640 --> 00:19:24.600 align:middle line:90%
a computational challenge.

00:19:24.600 --> 00:19:28.730 align:middle line:84%
And so for really
many decades, these

00:19:28.730 --> 00:19:32.050 align:middle line:84%
were computational challenges
that were insurmountable.

00:19:32.050 --> 00:19:35.270 align:middle line:84%
So I taught this class
when I was a PhD student,

00:19:35.270 --> 00:19:38.970 align:middle line:90%
which was in the early 2000s.

00:19:38.970 --> 00:19:41.810 align:middle line:84%
And one of the things that
you would always comment on

00:19:41.810 --> 00:19:44.930 align:middle line:84%
is how amazing human
perceptual systems are compared

00:19:44.930 --> 00:19:47.810 align:middle line:84%
to computer vision systems
or speech recognition systems

00:19:47.810 --> 00:19:48.590 align:middle line:90%
and so forth.

00:19:48.590 --> 00:19:51.930 align:middle line:84%
And things have
changed a little bit.

00:19:51.930 --> 00:19:53.905 align:middle line:84%
So in particular, in the
last five to 10 years,

00:19:53.905 --> 00:19:55.530 align:middle line:84%
contemporary machine
perception systems

00:19:55.530 --> 00:19:57.930 align:middle line:84%
have become pretty
good at certain types

00:19:57.930 --> 00:19:59.930 align:middle line:84%
of perceptual
tasks, specifically

00:19:59.930 --> 00:20:02.850 align:middle line:90%
classification tasks.

00:20:02.850 --> 00:20:06.430 align:middle line:84%
So object and face recognition
now work pretty well.

00:20:06.430 --> 00:20:10.210 align:middle line:84%
There's arguments over do
they work as well as humans.

00:20:10.210 --> 00:20:12.510 align:middle line:84%
Those are interesting
questions we could talk about.

00:20:12.510 --> 00:20:13.830 align:middle line:84%
Speech recognition
works pretty well.

00:20:13.830 --> 00:20:15.970 align:middle line:84%
Again, most of us talk to
our phones all the time.

00:20:15.970 --> 00:20:20.050 align:middle line:84%
You can dictate emails, and
texts, and things like that.

00:20:20.050 --> 00:20:23.410 align:middle line:84%
So that's remarkable
and a game changer.

00:20:23.410 --> 00:20:25.050 align:middle line:84%
And of course, that's
been a big deal

00:20:25.050 --> 00:20:27.180 align:middle line:90%
in the world of engineering.

00:20:27.180 --> 00:20:29.140 align:middle line:84%
It's also been a very
interesting development

00:20:29.140 --> 00:20:32.660 align:middle line:84%
for the study of perception,
because the resulting systems

00:20:32.660 --> 00:20:36.548 align:middle line:84%
now give-- you can treat those
as models of perceptual systems.

00:20:36.548 --> 00:20:38.340 align:middle line:84%
And they exhibit many
interesting parallels

00:20:38.340 --> 00:20:40.080 align:middle line:90%
with human perception.

00:20:40.080 --> 00:20:42.620 align:middle line:84%
So this has given rise to
a new generation of models

00:20:42.620 --> 00:20:45.605 align:middle line:90%
of perceptual systems.

00:20:45.605 --> 00:20:47.980 align:middle line:84%
And so that's going to be a
theme that we will talk about

00:20:47.980 --> 00:20:50.500 align:middle line:84%
periodically throughout
the class-- namely,

00:20:50.500 --> 00:20:52.860 align:middle line:84%
can we obtain better
models of the brain,

00:20:52.860 --> 00:20:55.060 align:middle line:84%
in particular of sensory
systems in the brain,

00:20:55.060 --> 00:20:58.100 align:middle line:84%
using contemporary
technology from AI?

00:20:58.100 --> 00:21:00.900 align:middle line:84%
So one of the main
engines of all of this

00:21:00.900 --> 00:21:02.860 align:middle line:90%
is artificial neural networks.

00:21:02.860 --> 00:21:05.340 align:middle line:84%
So these are systems that
consist of the repeated

00:21:05.340 --> 00:21:07.780 align:middle line:84%
application of pretty simple
operations, all of which

00:21:07.780 --> 00:21:09.820 align:middle line:84%
were loosely inspired
by things that people

00:21:09.820 --> 00:21:13.250 align:middle line:84%
saw in the brain-- filtering,
pooling, normalization.

00:21:13.250 --> 00:21:15.500 align:middle line:84%
We'll talk more about what
each of those things means.

00:21:15.500 --> 00:21:17.167 align:middle line:84%
And we now have really
effective methods

00:21:17.167 --> 00:21:19.700 align:middle line:84%
to optimize the parameters
of systems like this

00:21:19.700 --> 00:21:23.740 align:middle line:84%
to cause them to correctly
classify input signals.

00:21:23.740 --> 00:21:27.910 align:middle line:84%
So just to give you a little
example of something that

00:21:27.910 --> 00:21:31.830 align:middle line:84%
was really unimaginable
back when I was a student,

00:21:31.830 --> 00:21:34.910 align:middle line:84%
I'm going to show you a
comparison of speech recognition

00:21:34.910 --> 00:21:37.830 align:middle line:84%
by humans and by an
artificial neural network.

00:21:37.830 --> 00:21:39.990 align:middle line:84%
And so this is an
experiment where

00:21:39.990 --> 00:21:43.390 align:middle line:84%
humans are played, short
excerpts of speech superimposed

00:21:43.390 --> 00:21:45.037 align:middle line:90%
on background noise.

00:21:45.037 --> 00:21:46.870 align:middle line:84%
And they just have to
say what the words are

00:21:46.870 --> 00:21:48.030 align:middle line:90%
that the person is saying.

00:21:48.030 --> 00:21:50.330 align:middle line:84%
So the y-axis here plots
the proportion of words.

00:21:50.330 --> 00:21:54.170 align:middle line:84%
And the x-axis is the
signal to noise ratio.

00:21:54.170 --> 00:21:56.910 align:middle line:84%
So as you move
from left to right,

00:21:56.910 --> 00:21:58.630 align:middle line:84%
the speech becomes
louder relative

00:21:58.630 --> 00:21:59.850 align:middle line:90%
to the background noise.

00:21:59.850 --> 00:22:02.630 align:middle line:84%
And so you expect that
people will get better.

00:22:02.630 --> 00:22:03.730 align:middle line:90%
And indeed, they do.

00:22:03.730 --> 00:22:05.910 align:middle line:84%
But you can see that,
in this experiment,

00:22:05.910 --> 00:22:08.230 align:middle line:84%
there were four different
types of background noise.

00:22:08.230 --> 00:22:10.790 align:middle line:90%
So the green one is music.

00:22:10.790 --> 00:22:13.290 align:middle line:84%
For instance, the purple one
is what's called speech babble.

00:22:13.290 --> 00:22:14.290 align:middle line:90%
That's like crowd noise.

00:22:14.290 --> 00:22:16.750 align:middle line:84%
And you can see that some
types of noise for humans

00:22:16.750 --> 00:22:18.550 align:middle line:84%
are much easier to
recognize speech

00:22:18.550 --> 00:22:20.230 align:middle line:90%
in than other types of noise.

00:22:20.230 --> 00:22:21.550 align:middle line:90%
So that's just what people do.

00:22:21.550 --> 00:22:24.680 align:middle line:84%
And so next to it,
this is the results

00:22:24.680 --> 00:22:26.760 align:middle line:84%
of running a neural
network model

00:22:26.760 --> 00:22:28.800 align:middle line:90%
on the exact same experiment.

00:22:28.800 --> 00:22:31.360 align:middle line:84%
And there's two main things
to take away from this.

00:22:31.360 --> 00:22:34.140 align:middle line:84%
One is that the model is
doing about as well as humans.

00:22:34.140 --> 00:22:37.340 align:middle line:84%
That's the thing that was
inconceivable 15 years ago.

00:22:37.340 --> 00:22:39.380 align:middle line:84%
And nowadays, it's
pretty commonplace.

00:22:39.380 --> 00:22:41.120 align:middle line:84%
But the other thing
that's interesting

00:22:41.120 --> 00:22:43.840 align:middle line:84%
is that the conditions
that are easy for humans

00:22:43.840 --> 00:22:45.920 align:middle line:84%
are easy for the
model and vice versa.

00:22:45.920 --> 00:22:49.840 align:middle line:84%
So the phenotype of
speech recognition

00:22:49.840 --> 00:22:54.000 align:middle line:84%
seems to be shared across
humans in this model.

00:22:54.000 --> 00:22:56.190 align:middle line:84%
And so the question
is, well, can we

00:22:56.190 --> 00:22:57.940 align:middle line:84%
use these things to
model sensory systems?

00:22:57.940 --> 00:23:00.440 align:middle line:84%
And that's just something
that we will talk about

00:23:00.440 --> 00:23:01.933 align:middle line:90%
throughout the class.

00:23:01.933 --> 00:23:03.100 align:middle line:90%
AUDIENCE: I have a question.

00:23:03.100 --> 00:23:04.320 align:middle line:90%
JOSH MCDERMOTT: Yes?

00:23:04.320 --> 00:23:07.640 align:middle line:84%
AUDIENCE: You mentioned that
50% of the brain is [INAUDIBLE].

00:23:07.640 --> 00:23:09.240 align:middle line:90%
Is that by mass or volume?

00:23:09.240 --> 00:23:13.280 align:middle line:84%
And is that the entire
brain or just the neocortex?

00:23:13.280 --> 00:23:15.920 align:middle line:84%
JOSH MCDERMOTT: I was actually
talking about the cortex.

00:23:15.920 --> 00:23:18.640 align:middle line:84%
That's a very
approximate number.

00:23:18.640 --> 00:23:22.200 align:middle line:84%
And it would be both
mass and volume.

00:23:22.200 --> 00:23:28.540 align:middle line:84%
So mostly, it's pretty much
the back half of the brain,

00:23:28.540 --> 00:23:29.540 align:middle line:90%
more or less--

00:23:29.540 --> 00:23:31.040 align:middle line:84%
I mean, this is
very, very crude--

00:23:31.040 --> 00:23:33.420 align:middle line:84%
more or less is
involved in vision.

00:23:33.420 --> 00:23:36.153 align:middle line:84%
And again, it's a
little complicated

00:23:36.153 --> 00:23:37.820 align:middle line:84%
to give you a very
precise number there,

00:23:37.820 --> 00:23:39.362 align:middle line:84%
because the question
is, what does it

00:23:39.362 --> 00:23:40.760 align:middle line:90%
mean to be involved in vision?

00:23:40.760 --> 00:23:44.920 align:middle line:84%
And there's lots of
parts of the brain that

00:23:44.920 --> 00:23:48.980 align:middle line:84%
respond when you're
looking at things,

00:23:48.980 --> 00:23:51.640 align:middle line:84%
but have other
functions as well.

00:23:51.640 --> 00:23:55.080 align:middle line:84%
But yeah, roughly half
is what I would say.

00:23:55.080 --> 00:23:56.880 align:middle line:90%
Thanks for the question.

00:23:56.880 --> 00:23:57.380 align:middle line:90%
All right.

00:23:57.380 --> 00:23:59.160 align:middle line:84%
So the fourth
important point that I

00:23:59.160 --> 00:24:02.840 align:middle line:84%
want you to walk away
from is that perception

00:24:02.840 --> 00:24:06.520 align:middle line:90%
is unconscious inference.

00:24:06.520 --> 00:24:07.020 align:middle line:90%
All right.

00:24:07.020 --> 00:24:09.400 align:middle line:84%
So we've talked about
how one of the key things

00:24:09.400 --> 00:24:12.640 align:middle line:84%
to know about perception is that
the problems that we're solving

00:24:12.640 --> 00:24:13.960 align:middle line:90%
are ill-posed.

00:24:13.960 --> 00:24:16.720 align:middle line:84%
So that usually means there's
not like a unique solution.

00:24:16.720 --> 00:24:19.490 align:middle line:84%
So the information
in the sensory input

00:24:19.490 --> 00:24:21.910 align:middle line:84%
does not uniquely specify
the structure of the world.

00:24:21.910 --> 00:24:23.570 align:middle line:84%
And so the
consequence of that is

00:24:23.570 --> 00:24:25.250 align:middle line:84%
that the brain has
to make its best

00:24:25.250 --> 00:24:29.050 align:middle line:90%
guess as to what is out there.

00:24:29.050 --> 00:24:30.270 align:middle line:90%
This is inference.

00:24:30.270 --> 00:24:32.290 align:middle line:84%
So when you see
or when you hear,

00:24:32.290 --> 00:24:37.770 align:middle line:84%
we think your brain is choosing
the most probable interpretation

00:24:37.770 --> 00:24:41.470 align:middle line:84%
of the sensory input
that you are getting.

00:24:41.470 --> 00:24:42.687 align:middle line:90%
Now, so this is inference.

00:24:42.687 --> 00:24:44.270 align:middle line:84%
But you're not aware
of the inference.

00:24:44.270 --> 00:24:46.210 align:middle line:90%
So it's very different from--

00:24:46.210 --> 00:24:48.210 align:middle line:84%
some kinds of inferences
you make consciously.

00:24:48.210 --> 00:24:50.410 align:middle line:84%
You might reason about
a problem to work out

00:24:50.410 --> 00:24:52.990 align:middle line:84%
what might likely have
happened to explain something.

00:24:52.990 --> 00:24:56.130 align:middle line:84%
So the inferences that your
perceptual systems make,

00:24:56.130 --> 00:24:58.930 align:middle line:84%
they just happen
automatically, really

00:24:58.930 --> 00:25:00.730 align:middle line:90%
without you being aware of them.

00:25:00.730 --> 00:25:03.950 align:middle line:84%
And so that's why we call
it unconscious inference.

00:25:03.950 --> 00:25:05.870 align:middle line:84%
So that is a term that
is due to Helmholtz.

00:25:05.870 --> 00:25:10.610 align:middle line:84%
So Helmholtz was a giant
of 19th century science,

00:25:10.610 --> 00:25:14.050 align:middle line:84%
did lots of stuff, and had made
many important contributions

00:25:14.050 --> 00:25:17.220 align:middle line:84%
to perception, including
this idea that perception is

00:25:17.220 --> 00:25:18.440 align:middle line:90%
unconscious inference.

00:25:18.440 --> 00:25:21.740 align:middle line:90%


00:25:21.740 --> 00:25:24.540 align:middle line:84%
So let me give you an
example or two of that.

00:25:24.540 --> 00:25:28.388 align:middle line:84%
So I'm going to play you
a bunch of moving dots.

00:25:28.388 --> 00:25:30.180 align:middle line:84%
And so this is a little
bit like that thing

00:25:30.180 --> 00:25:32.305 align:middle line:84%
that I showed you a little
bit earlier in the sense

00:25:32.305 --> 00:25:35.060 align:middle line:84%
that the moving dots--
because really all

00:25:35.060 --> 00:25:37.180 align:middle line:84%
that you can see there
are these moving dots,

00:25:37.180 --> 00:25:40.180 align:middle line:84%
there's lots of potential
explanations of the motion.

00:25:40.180 --> 00:25:40.700 align:middle line:90%
OK?

00:25:40.700 --> 00:25:41.200 align:middle line:90%
Shh.

00:25:41.200 --> 00:25:45.980 align:middle line:90%


00:25:45.980 --> 00:25:48.260 align:middle line:90%
So you look at this.

00:25:48.260 --> 00:25:51.070 align:middle line:90%
And you can see the dots moving.

00:25:51.070 --> 00:25:55.540 align:middle line:84%
It may not really be completely
obvious what caused those dots.

00:25:55.540 --> 00:25:57.580 align:middle line:84%
But now, what I'm
going to do is show you

00:25:57.580 --> 00:26:00.580 align:middle line:84%
the same thing
flipped upside down.

00:26:00.580 --> 00:26:06.320 align:middle line:84%
And when you see it
in this orientation,

00:26:06.320 --> 00:26:10.340 align:middle line:84%
it becomes quite obvious that
this is a person walking.

00:26:10.340 --> 00:26:13.540 align:middle line:84%
And so in fact, this
stimulus is an example

00:26:13.540 --> 00:26:16.230 align:middle line:84%
of a very famous type of
stimulus known as a point light

00:26:16.230 --> 00:26:16.890 align:middle line:90%
walker.

00:26:16.890 --> 00:26:20.790 align:middle line:84%
And so originally, the way that
they would generate something

00:26:20.790 --> 00:26:22.590 align:middle line:84%
like this is by putting
these little lights

00:26:22.590 --> 00:26:25.048 align:middle line:84%
on the joints of a person, and
putting them in a dark room,

00:26:25.048 --> 00:26:26.470 align:middle line:90%
and then filming them.

00:26:26.470 --> 00:26:30.013 align:middle line:84%
So now, of course, we can
do this with computers.

00:26:30.013 --> 00:26:31.430 align:middle line:84%
And so the really
remarkable thing

00:26:31.430 --> 00:26:34.050 align:middle line:84%
is that, when the
orientation is correct,

00:26:34.050 --> 00:26:36.110 align:middle line:84%
which means what
you're used to, you

00:26:36.110 --> 00:26:39.910 align:middle line:84%
can take that pattern of motion,
and then perceive a form.

00:26:39.910 --> 00:26:45.790 align:middle line:84%
But when it's not
what you're used to,

00:26:45.790 --> 00:26:47.290 align:middle line:90%
that's a lot harder to do.

00:26:47.290 --> 00:26:51.640 align:middle line:90%


00:26:51.640 --> 00:26:53.010 align:middle line:90%
So what does this mean?

00:26:53.010 --> 00:26:58.310 align:middle line:84%
Well, OK, so it's an example
of an ill-posed problem,

00:26:58.310 --> 00:27:00.310 align:middle line:84%
because there are lots
of potential explanations

00:27:00.310 --> 00:27:01.850 align:middle line:90%
for this motion.

00:27:01.850 --> 00:27:03.670 align:middle line:84%
So one explanation
is that there's

00:27:03.670 --> 00:27:06.200 align:middle line:90%
a person walking upside down.

00:27:06.200 --> 00:27:08.450 align:middle line:84%
And we verified that because
you saw it right side up.

00:27:08.450 --> 00:27:10.533 align:middle line:84%
And you can tell that could
be caused by a person.

00:27:10.533 --> 00:27:12.990 align:middle line:84%
But another explanation is
that these dots are just

00:27:12.990 --> 00:27:13.590 align:middle line:90%
moving around.

00:27:13.590 --> 00:27:15.480 align:middle line:84%
Maybe they're
fireflies or something.

00:27:15.480 --> 00:27:21.030 align:middle line:84%
They're not necessarily
related to a single thing.

00:27:21.030 --> 00:27:23.100 align:middle line:84%
And there are these
multiple interpretations.

00:27:23.100 --> 00:27:26.560 align:middle line:84%
And then your brain is choosing
one of those interpretations

00:27:26.560 --> 00:27:29.160 align:middle line:84%
based on what it
thinks is likely.

00:27:29.160 --> 00:27:31.920 align:middle line:84%
And so when there's
an interpretation

00:27:31.920 --> 00:27:33.840 align:middle line:84%
that there's a person
that's right side up,

00:27:33.840 --> 00:27:35.880 align:middle line:84%
that seems to be what
you see, presumably

00:27:35.880 --> 00:27:37.942 align:middle line:84%
because usually
when people walk,

00:27:37.942 --> 00:27:39.400 align:middle line:84%
they're not walking
on the ceiling.

00:27:39.400 --> 00:27:40.320 align:middle line:90%
They're walking on the ground.

00:27:40.320 --> 00:27:41.620 align:middle line:90%
And you're mostly right side up.

00:27:41.620 --> 00:27:43.203 align:middle line:84%
And so most of the
time, you're seeing

00:27:43.203 --> 00:27:44.580 align:middle line:90%
people walk right side up.

00:27:44.580 --> 00:27:48.120 align:middle line:90%


00:27:48.120 --> 00:27:50.920 align:middle line:84%
So that, in some sense, is
an unconscious inference.

00:27:50.920 --> 00:27:54.540 align:middle line:90%
Any questions about that?

00:27:54.540 --> 00:27:55.040 align:middle line:90%
Yeah?

00:27:55.040 --> 00:27:57.520 align:middle line:84%
AUDIENCE: Is there the
nature/nurture thing going on

00:27:57.520 --> 00:28:01.640 align:middle line:84%
in the fact that unconscious
versus conscious-- is

00:28:01.640 --> 00:28:05.560 align:middle line:84%
any of this things
that we expect

00:28:05.560 --> 00:28:10.440 align:middle line:84%
are hardwired versus learned
by experience of like watching

00:28:10.440 --> 00:28:13.090 align:middle line:90%
thousands of people walk?

00:28:13.090 --> 00:28:15.690 align:middle line:84%
JOSH MCDERMOTT: Yeah,
that's a great question.

00:28:15.690 --> 00:28:19.970 align:middle line:84%
So you will be able to ask that
question of many of the things

00:28:19.970 --> 00:28:23.130 align:middle line:84%
that we will talk
about in this class.

00:28:23.130 --> 00:28:25.730 align:middle line:84%
And in most cases,
we don't really

00:28:25.730 --> 00:28:29.420 align:middle line:90%
know the answer very clearly.

00:28:29.420 --> 00:28:34.370 align:middle line:84%
So there's bits of
evidence that young infants

00:28:34.370 --> 00:28:36.890 align:middle line:84%
can experience some of
the kinds of phenomena

00:28:36.890 --> 00:28:38.370 align:middle line:90%
that we'll talk about.

00:28:38.370 --> 00:28:40.610 align:middle line:84%
It's not that easy
to actually determine

00:28:40.610 --> 00:28:42.503 align:middle line:84%
whether a baby can
tell if this is

00:28:42.503 --> 00:28:44.170 align:middle line:84%
somebody walking
because they can't talk

00:28:44.170 --> 00:28:45.270 align:middle line:90%
and so on and so forth.

00:28:45.270 --> 00:28:49.190 align:middle line:84%
So you have to do really clever
experiments to assess that.

00:28:49.190 --> 00:28:55.050 align:middle line:90%


00:28:55.050 --> 00:28:56.810 align:middle line:84%
These assumptions
that your brain

00:28:56.810 --> 00:28:59.930 align:middle line:84%
brings to bear to constrain
these ill-posed problems,

00:28:59.930 --> 00:29:04.073 align:middle line:84%
they could be something that
you acquire through evolution,

00:29:04.073 --> 00:29:04.990 align:middle line:90%
that you're born with.

00:29:04.990 --> 00:29:06.990 align:middle line:84%
It could be something that
you acquire over development.

00:29:06.990 --> 00:29:08.370 align:middle line:90%
It's probably some of both.

00:29:08.370 --> 00:29:10.290 align:middle line:84%
In most cases, we
don't really know.

00:29:10.290 --> 00:29:12.700 align:middle line:90%
Yeah.

00:29:12.700 --> 00:29:14.540 align:middle line:84%
There are a handful
of cases where

00:29:14.540 --> 00:29:20.960 align:middle line:84%
there is very clear evidence
that you can learn assumptions.

00:29:20.960 --> 00:29:23.620 align:middle line:90%


00:29:23.620 --> 00:29:25.420 align:middle line:84%
So part of why this
is hard to study

00:29:25.420 --> 00:29:30.075 align:middle line:84%
is it's not that easy to have
somebody inhabit a world where

00:29:30.075 --> 00:29:31.200 align:middle line:90%
people walk on the ceiling.

00:29:31.200 --> 00:29:34.100 align:middle line:84%
So just in practice,
the interventions

00:29:34.100 --> 00:29:36.705 align:middle line:84%
that you would need to do the
experiments are impractical.

00:29:36.705 --> 00:29:38.580 align:middle line:84%
But there are cases
where those interventions

00:29:38.580 --> 00:29:39.680 align:middle line:90%
are less impractical.

00:29:39.680 --> 00:29:42.020 align:middle line:84%
And in some of those cases,
people have done them.

00:29:42.020 --> 00:29:43.700 align:middle line:84%
And we'll talk
about some of those.

00:29:43.700 --> 00:29:47.060 align:middle line:90%


00:29:47.060 --> 00:29:49.380 align:middle line:84%
So here's another
interesting example

00:29:49.380 --> 00:29:51.620 align:middle line:90%
of an unconscious inference.

00:29:51.620 --> 00:29:55.380 align:middle line:84%
So I'm going to play you a
sound that consists of something

00:29:55.380 --> 00:29:56.760 align:middle line:90%
called a sound texture.

00:29:56.760 --> 00:30:00.340 align:middle line:84%
This is the sound of a lot
of people clapping, applause.

00:30:00.340 --> 00:30:03.370 align:middle line:84%
And then that will be
interrupted by noise.

00:30:03.370 --> 00:30:05.620 align:middle line:84%
And then there'll be a little
bit more of the texture.

00:30:05.620 --> 00:30:08.805 align:middle line:84%
And the amazing thing
about this particular sound

00:30:08.805 --> 00:30:10.180 align:middle line:84%
is you're going
to listen to this

00:30:10.180 --> 00:30:12.580 align:middle line:84%
and you will have the
sense that texture

00:30:12.580 --> 00:30:15.540 align:middle line:90%
continues during the noise.

00:30:15.540 --> 00:30:17.800 align:middle line:84%
But in fact, it's
completely not present.

00:30:17.800 --> 00:30:21.220 align:middle line:84%
So listen to this and
see what you think.

00:30:21.220 --> 00:30:22.216 align:middle line:90%
[AUDIO PLAYBACK]

00:30:22.216 --> 00:30:24.208 align:middle line:90%
[APPLAUSE]

00:30:24.208 --> 00:30:25.204 align:middle line:90%
[STATIC NOISE]

00:30:25.204 --> 00:30:26.117 align:middle line:90%
[APPLAUSE]

00:30:26.117 --> 00:30:26.700 align:middle line:90%
[END PLAYBACK]

00:30:26.700 --> 00:30:28.408 align:middle line:84%
JOSH MCDERMOTT: Did
you hear it continue?

00:30:28.408 --> 00:30:30.620 align:middle line:90%
Yeah?

00:30:30.620 --> 00:30:31.543 align:middle line:90%
Again.

00:30:31.543 --> 00:30:32.210 align:middle line:90%
[AUDIO PLAYBACK]

00:30:32.210 --> 00:30:33.150 align:middle line:90%
[APPLAUSE]

00:30:33.150 --> 00:30:34.090 align:middle line:90%
[STATIC NOISE]

00:30:34.090 --> 00:30:35.030 align:middle line:90%
[APPLAUSE]

00:30:35.030 --> 00:30:37.455 align:middle line:90%
[END PLAYBACK]

00:30:37.455 --> 00:30:40.080 align:middle line:84%
JOSH MCDERMOTT: So it's so crazy
that you might not believe me.

00:30:40.080 --> 00:30:41.455 align:middle line:84%
You might say,
well, hang on, how

00:30:41.455 --> 00:30:44.340 align:middle line:84%
do I know that that thing
is not actually there?

00:30:44.340 --> 00:30:47.200 align:middle line:84%
So this is a variant that will
hopefully convince you of this.

00:30:47.200 --> 00:30:49.520 align:middle line:84%
So in this particular case,
it's exactly the same.

00:30:49.520 --> 00:30:52.180 align:middle line:84%
But there's a little gap
here between this texture

00:30:52.180 --> 00:30:53.882 align:middle line:90%
and the noise.

00:30:53.882 --> 00:30:55.340 align:middle line:84%
And so now, I think
your experience

00:30:55.340 --> 00:30:57.440 align:middle line:90%
will be very different.

00:30:57.440 --> 00:30:58.440 align:middle line:90%
[AUDIO PLAYBACK]

00:30:58.440 --> 00:30:59.440 align:middle line:90%
[APPLAUSE]

00:30:59.440 --> 00:31:00.940 align:middle line:90%
[STATIC NOISE]

00:31:00.940 --> 00:31:01.940 align:middle line:90%
[APPLAUSE]

00:31:01.940 --> 00:31:02.940 align:middle line:90%
[END PLAYBACK]

00:31:02.940 --> 00:31:04.700 align:middle line:84%
JOSH MCDERMOTT: So
it wasn't there then.

00:31:04.700 --> 00:31:06.260 align:middle line:90%
All right, so what's going on?

00:31:06.260 --> 00:31:11.510 align:middle line:84%
Well, it seems to be the
case that this, what we call,

00:31:11.510 --> 00:31:13.990 align:middle line:84%
illusory continuity-- the
fact that you hear that sound

00:31:13.990 --> 00:31:16.950 align:middle line:84%
continue during the
noise-- one second--

00:31:16.950 --> 00:31:21.110 align:middle line:84%
is an unconscious inference
about what most likely is

00:31:21.110 --> 00:31:23.590 align:middle line:90%
happening during the noise.

00:31:23.590 --> 00:31:24.610 align:middle line:90%
You had a question.

00:31:24.610 --> 00:31:25.110 align:middle line:90%
Yeah?

00:31:25.110 --> 00:31:26.850 align:middle line:84%
AUDIENCE: So you can hear
the texture in the noise.

00:31:26.850 --> 00:31:29.557 align:middle line:84%
But why can't you hear the
noise in the texture afterwards?

00:31:29.557 --> 00:31:31.390 align:middle line:84%
JOSH MCDERMOTT: That's
a very good question.

00:31:31.390 --> 00:31:35.230 align:middle line:84%
The presumptive reason is
that the noise is actually

00:31:35.230 --> 00:31:36.290 align:middle line:90%
more intense.

00:31:36.290 --> 00:31:39.710 align:middle line:84%
So the sound level or the
intensity or the loudness

00:31:39.710 --> 00:31:41.190 align:middle line:90%
is higher.

00:31:41.190 --> 00:31:43.270 align:middle line:84%
And so what we think
actually happens

00:31:43.270 --> 00:31:44.950 align:middle line:84%
in these examples of
illusory continuity

00:31:44.950 --> 00:31:46.630 align:middle line:84%
is that the reason
that you actually

00:31:46.630 --> 00:31:51.350 align:middle line:84%
hear the texture during
the noise in this example

00:31:51.350 --> 00:31:55.270 align:middle line:84%
is that the noise
is sufficiently

00:31:55.270 --> 00:32:01.590 align:middle line:84%
intense that a phenomena
called masking would occur

00:32:01.590 --> 00:32:03.630 align:middle line:90%
if the texture were there.

00:32:03.630 --> 00:32:05.390 align:middle line:84%
And specifically,
what that means

00:32:05.390 --> 00:32:08.840 align:middle line:84%
is that when two sounds play at
the same time, if one of them

00:32:08.840 --> 00:32:10.600 align:middle line:84%
is loud enough
relative to the other,

00:32:10.600 --> 00:32:14.520 align:middle line:84%
you will not be able to detect
the presence of the other one.

00:32:14.520 --> 00:32:15.840 align:middle line:90%
That's known as masking.

00:32:15.840 --> 00:32:17.740 align:middle line:90%
But that's just a phenomenon.

00:32:17.740 --> 00:32:22.680 align:middle line:84%
And so the consequence
of that is that,

00:32:22.680 --> 00:32:26.280 align:middle line:84%
when the noise is very
high in intensity,

00:32:26.280 --> 00:32:29.200 align:middle line:84%
you actually wouldn't-- the
stimulus would not be any

00:32:29.200 --> 00:32:31.785 align:middle line:84%
different whether or not the
texture actually was there.

00:32:31.785 --> 00:32:33.660 align:middle line:84%
And when I say it would
not be any different,

00:32:33.660 --> 00:32:36.077 align:middle line:84%
it means it would not be any
different from the standpoint

00:32:36.077 --> 00:32:36.800 align:middle line:90%
of the ear.

00:32:36.800 --> 00:32:38.560 align:middle line:84%
The stimulation at
the ear would be

00:32:38.560 --> 00:32:41.200 align:middle line:84%
the same due to this
phenomenon of masking.

00:32:41.200 --> 00:32:46.400 align:middle line:84%
And the consequence of that
is that this is the situation

00:32:46.400 --> 00:32:47.220 align:middle line:90%
is ill-posed.

00:32:47.220 --> 00:32:52.040 align:middle line:84%
So the stimulus that you would
get if the texture was there

00:32:52.040 --> 00:32:53.640 align:middle line:84%
is basically the
same as the stimulus

00:32:53.640 --> 00:32:55.440 align:middle line:84%
that you would get
if it wasn't there.

00:32:55.440 --> 00:32:57.560 align:middle line:84%
And so now, the brain
just has to make its best

00:32:57.560 --> 00:32:59.020 align:middle line:90%
guess as to what is happening.

00:32:59.020 --> 00:33:01.840 align:middle line:84%
And presumably with
these texture sounds,

00:33:01.840 --> 00:33:05.730 align:middle line:84%
they're of that they just tend
to go on and on and on and on.

00:33:05.730 --> 00:33:07.770 align:middle line:84%
And so your brain
infers that it's

00:33:07.770 --> 00:33:10.410 align:middle line:84%
a good bet that that
sound actually continued.

00:33:10.410 --> 00:33:12.530 align:middle line:84%
You had a question
there, and then there.

00:33:12.530 --> 00:33:17.650 align:middle line:84%
AUDIENCE: Yeah, I was wondering,
does the type of noise--

00:33:17.650 --> 00:33:19.610 align:middle line:84%
let's say it was
a trumpet instead.

00:33:19.610 --> 00:33:22.290 align:middle line:84%
Would you still have
the same phenomenon,

00:33:22.290 --> 00:33:25.010 align:middle line:90%
like if the texture was really--

00:33:25.010 --> 00:33:29.370 align:middle line:84%
let's say clapping, but it's
a different type or intensity

00:33:29.370 --> 00:33:31.435 align:middle line:90%
of noise?

00:33:31.435 --> 00:33:32.810 align:middle line:84%
JOSH MCDERMOTT:
So are you asking

00:33:32.810 --> 00:33:35.930 align:middle line:84%
whether the effect would be
the same if this was a trumpet?

00:33:35.930 --> 00:33:37.070 align:middle line:90%
AUDIENCE: No, the noise.

00:33:37.070 --> 00:33:41.308 align:middle line:84%
Like, if the noise was not
the static that it was.

00:33:41.308 --> 00:33:42.350 align:middle line:90%
JOSH MCDERMOTT: Yeah, OK.

00:33:42.350 --> 00:33:42.910 align:middle line:90%
Got it.

00:33:42.910 --> 00:33:45.050 align:middle line:84%
So the thing that
seems to be really

00:33:45.050 --> 00:33:47.770 align:middle line:84%
important for this
illusion to happen

00:33:47.770 --> 00:33:51.890 align:middle line:84%
is that the frequencies
in the noise

00:33:51.890 --> 00:33:54.390 align:middle line:84%
have to overlap with the
frequencies in the textures.

00:33:54.390 --> 00:33:56.650 align:middle line:84%
And they have to be kind
of loud enough that they

00:33:56.650 --> 00:33:58.530 align:middle line:90%
could mask the texture.

00:33:58.530 --> 00:34:02.290 align:middle line:84%
And so in fact, what happens
is that if you actually

00:34:02.290 --> 00:34:04.860 align:middle line:84%
make the noise
quiet, if you lower

00:34:04.860 --> 00:34:07.040 align:middle line:84%
the amplitude of the
noise, at some point,

00:34:07.040 --> 00:34:09.100 align:middle line:90%
this stops happening.

00:34:09.100 --> 00:34:11.940 align:middle line:84%
And you stop hearing
the texture there.

00:34:11.940 --> 00:34:15.583 align:middle line:84%
You had a question,
[? Hannah? ?] In the back?

00:34:15.583 --> 00:34:17.500 align:middle line:84%
AUDIENCE: If you were
to just play the texture

00:34:17.500 --> 00:34:19.167 align:middle line:84%
and then play the
noise for a long time,

00:34:19.167 --> 00:34:21.380 align:middle line:84%
would you eventually
stop hearing the texture?

00:34:21.380 --> 00:34:21.699 align:middle line:90%
JOSH MCDERMOTT: Yeah.

00:34:21.699 --> 00:34:24.318 align:middle line:84%
In fact, so Richard McWalter,
who was a postdoc in my lab,

00:34:24.318 --> 00:34:25.360 align:middle line:90%
he did these experiments.

00:34:25.360 --> 00:34:28.900 align:middle line:84%
And so the amount of time
that the texture lasts

00:34:28.900 --> 00:34:30.000 align:middle line:90%
depends on the texture.

00:34:30.000 --> 00:34:33.580 align:middle line:84%
But in some cases, it can go
on for three or four seconds.

00:34:33.580 --> 00:34:36.659 align:middle line:90%
But it fades out eventually.

00:34:36.659 --> 00:34:38.280 align:middle line:90%
Yeah, yeah.

00:34:38.280 --> 00:34:40.944 align:middle line:90%


00:34:40.944 --> 00:34:42.080 align:middle line:90%
Oh, yeah?

00:34:42.080 --> 00:34:44.080 align:middle line:84%
AUDIENCE: This question
is asking about priming.

00:34:44.080 --> 00:34:46.980 align:middle line:84%
And it reads, would I hear
the same clapping in the noise

00:34:46.980 --> 00:34:50.400 align:middle line:84%
if Josh didn't tell me that
you will hear in the classroom?

00:34:50.400 --> 00:34:54.040 align:middle line:84%
Thinking back to before
page 25 of the slides,

00:34:54.040 --> 00:34:56.120 align:middle line:84%
when I was listening to
the 7-people overlay,

00:34:56.120 --> 00:34:59.060 align:middle line:84%
I didn't hear the initial
sentence before realizing that

00:34:59.060 --> 00:35:02.630 align:middle line:84%
the sentence was uttered when
Josh said you can still hear

00:35:02.630 --> 00:35:04.030 align:middle line:90%
the sentence.

00:35:04.030 --> 00:35:05.530 align:middle line:84%
JOSH MCDERMOTT:
Yeah, good question.

00:35:05.530 --> 00:35:07.990 align:middle line:84%
So for this phenomenon,
the priming--

00:35:07.990 --> 00:35:10.410 align:middle line:84%
I believe the priming
has a very small effect.

00:35:10.410 --> 00:35:12.830 align:middle line:84%
And the reason I think that
we've done lots of experiments

00:35:12.830 --> 00:35:15.163 align:middle line:84%
where we didn't tell people
that they were going to hear

00:35:15.163 --> 00:35:16.870 align:middle line:90%
this thing in the noise.

00:35:16.870 --> 00:35:20.190 align:middle line:84%
In fact, we don't even tell them
that the texture is not there.

00:35:20.190 --> 00:35:21.737 align:middle line:90%
Sometimes, the texture is there.

00:35:21.737 --> 00:35:22.570 align:middle line:90%
Sometimes, it's not.

00:35:22.570 --> 00:35:23.930 align:middle line:84%
And we ask them
whether it's there.

00:35:23.930 --> 00:35:26.305 align:middle line:84%
And when it's not there, they
say it's there essentially.

00:35:26.305 --> 00:35:28.430 align:middle line:84%
So the illusion is
real in that sense.

00:35:28.430 --> 00:35:32.510 align:middle line:84%
And it's certainly true that,
with that cocktail party effect,

00:35:32.510 --> 00:35:36.735 align:middle line:84%
part of what helps you hear what
we call the target voice-- so

00:35:36.735 --> 00:35:38.110 align:middle line:84%
the very first
one that I played.

00:35:38.110 --> 00:35:39.830 align:middle line:84%
Part of what helps you hear
that is that you heard it

00:35:39.830 --> 00:35:41.390 align:middle line:90%
in isolation the first time.

00:35:41.390 --> 00:35:42.950 align:middle line:90%
So that is priming.

00:35:42.950 --> 00:35:44.390 align:middle line:84%
So in that situation,
the priming

00:35:44.390 --> 00:35:47.555 align:middle line:84%
actually does have a
fairly substantial effect.

00:35:47.555 --> 00:35:49.930 align:middle line:84%
So that can definitely be
important in a lot of settings.

00:35:49.930 --> 00:35:54.530 align:middle line:90%


00:35:54.530 --> 00:35:56.430 align:middle line:84%
So the fifth
important point I want

00:35:56.430 --> 00:36:01.310 align:middle line:84%
you to leave the lecture
with is that illusions

00:36:01.310 --> 00:36:03.550 align:middle line:84%
illustrate perceptual
mechanisms at work

00:36:03.550 --> 00:36:04.810 align:middle line:90%
and can help us study them.

00:36:04.810 --> 00:36:06.790 align:middle line:90%
So illusions are fun.

00:36:06.790 --> 00:36:10.630 align:middle line:84%
We love looking at
illusions because they

00:36:10.630 --> 00:36:13.730 align:middle line:84%
make us realize that the world
is not always how it seems.

00:36:13.730 --> 00:36:17.150 align:middle line:90%
And they're lots of fun.

00:36:17.150 --> 00:36:19.830 align:middle line:84%
But they're are also
scientific tools.

00:36:19.830 --> 00:36:23.190 align:middle line:84%
And so a lot of what happens
in perception research

00:36:23.190 --> 00:36:25.210 align:middle line:90%
actually utilizes illusion.

00:36:25.210 --> 00:36:28.030 align:middle line:84%
That's partly why studying
perception is so much fun.

00:36:28.030 --> 00:36:29.990 align:middle line:84%
And so throughout
this class, we're

00:36:29.990 --> 00:36:34.550 align:middle line:84%
going to be looking and
listening to and feeling

00:36:34.550 --> 00:36:36.170 align:middle line:90%
a lot of perceptual illusions.

00:36:36.170 --> 00:36:38.670 align:middle line:84%
And you'll be making
some yourself.

00:36:38.670 --> 00:36:40.330 align:middle line:90%
So this is an example.

00:36:40.330 --> 00:36:44.510 align:middle line:84%
This is a classic illusion,
one of my favorites,

00:36:44.510 --> 00:36:50.030 align:middle line:84%
where shadows are being
used to manipulate

00:36:50.030 --> 00:36:53.610 align:middle line:84%
your perception of depth and
thus your perception of motion.

00:36:53.610 --> 00:36:56.830 align:middle line:84%
And so what is
going to happen here

00:36:56.830 --> 00:37:00.440 align:middle line:84%
when I play this is
you will see this ball

00:37:00.440 --> 00:37:01.800 align:middle line:90%
move across the screen.

00:37:01.800 --> 00:37:04.440 align:middle line:90%
It'll go from here to here.

00:37:04.440 --> 00:37:07.060 align:middle line:84%
And you're going to see two
different versions of this.

00:37:07.060 --> 00:37:09.720 align:middle line:84%
And the versions will
be differentiated

00:37:09.720 --> 00:37:13.120 align:middle line:84%
by the trajectory of
this dark spot that

00:37:13.120 --> 00:37:15.640 align:middle line:84%
is supposed to be-- it's
supposed to look like a shadow.

00:37:15.640 --> 00:37:18.400 align:middle line:84%
And so in one
case, the shadow is

00:37:18.400 --> 00:37:20.020 align:middle line:90%
going to move in one direction.

00:37:20.020 --> 00:37:20.680 align:middle line:84%
And in the other
case, it's going

00:37:20.680 --> 00:37:21.888 align:middle line:90%
to move in another direction.

00:37:21.888 --> 00:37:24.400 align:middle line:84%
And that will cause you to
perceive a totally different

00:37:24.400 --> 00:37:28.520 align:middle line:84%
trajectory for this ball, even
though the physical trajectory

00:37:28.520 --> 00:37:30.520 align:middle line:84%
along the image is
exactly the same.

00:37:30.520 --> 00:37:31.980 align:middle line:90%
So check it out.

00:37:31.980 --> 00:37:33.740 align:middle line:84%
And I'll loop this
a couple times.

00:37:33.740 --> 00:37:40.440 align:middle line:90%


00:37:40.440 --> 00:37:43.600 align:middle line:90%
So it's on the floor, right?

00:37:43.600 --> 00:37:45.100 align:middle line:90%
Whoa.

00:37:45.100 --> 00:37:47.890 align:middle line:90%


00:37:47.890 --> 00:37:49.380 align:middle line:90%
All right, let's do it again.

00:37:49.380 --> 00:37:53.440 align:middle line:90%


00:37:53.440 --> 00:37:58.430 align:middle line:90%
On the floor, up in the air.

00:37:58.430 --> 00:38:01.010 align:middle line:90%


00:38:01.010 --> 00:38:02.190 align:middle line:90%
All right.

00:38:02.190 --> 00:38:03.190 align:middle line:90%
So what's going on here?

00:38:03.190 --> 00:38:06.290 align:middle line:84%
So I think I love
this particular effect

00:38:06.290 --> 00:38:10.090 align:middle line:84%
because it illustrates a whole
bunch of important things.

00:38:10.090 --> 00:38:12.010 align:middle line:84%
So one of the things
that illustrates

00:38:12.010 --> 00:38:14.950 align:middle line:84%
is the ill-posedness
of depth perception.

00:38:14.950 --> 00:38:19.450 align:middle line:84%
So the image and the
trajectory of the ball

00:38:19.450 --> 00:38:22.530 align:middle line:84%
is exactly the same for
those two totally different

00:38:22.530 --> 00:38:24.730 align:middle line:90%
trajectories in the world.

00:38:24.730 --> 00:38:26.610 align:middle line:84%
Three-dimensional
trajectories, they

00:38:26.610 --> 00:38:30.070 align:middle line:84%
project to the same
two-dimensional image sequence.

00:38:30.070 --> 00:38:32.930 align:middle line:90%


00:38:32.930 --> 00:38:39.370 align:middle line:84%
However, there is a relationship
between the location

00:38:39.370 --> 00:38:43.410 align:middle line:90%
of a shadow and an object.

00:38:43.410 --> 00:38:46.650 align:middle line:84%
So in general, if something
is sitting on a surface,

00:38:46.650 --> 00:38:48.370 align:middle line:84%
the shadow that it
casts will be right

00:38:48.370 --> 00:38:50.890 align:middle line:84%
next to that object,
just like the geometry

00:38:50.890 --> 00:38:52.070 align:middle line:90%
of the way the optics work.

00:38:52.070 --> 00:38:55.480 align:middle line:84%
If something is way
off of a surface,

00:38:55.480 --> 00:38:59.140 align:middle line:84%
then the shadow will be
more distant in the image.

00:38:59.140 --> 00:39:02.240 align:middle line:84%
And so your brain, either
over evolution or development,

00:39:02.240 --> 00:39:07.540 align:middle line:84%
has learned the relationship
between shadows and depth.

00:39:07.540 --> 00:39:10.900 align:middle line:84%
And it just
automatically estimates

00:39:10.900 --> 00:39:13.740 align:middle line:84%
the three-dimensional
structure of the world using

00:39:13.740 --> 00:39:15.740 align:middle line:84%
the shadow and its
knowledge of the way

00:39:15.740 --> 00:39:17.920 align:middle line:90%
that optics and geometry work.

00:39:17.920 --> 00:39:21.180 align:middle line:90%


00:39:21.180 --> 00:39:26.070 align:middle line:90%
And this illusion really--

00:39:26.070 --> 00:39:28.780 align:middle line:84%
it demonstrates
the role of shadows

00:39:28.780 --> 00:39:31.580 align:middle line:84%
in depth perception in a
way that you wouldn't really

00:39:31.580 --> 00:39:35.540 align:middle line:84%
have known otherwise, because
you have this stimulus that's

00:39:35.540 --> 00:39:36.480 align:middle line:90%
otherwise the same.

00:39:36.480 --> 00:39:38.180 align:middle line:84%
And you just
manipulate the shadow.

00:39:38.180 --> 00:39:40.000 align:middle line:90%
And it changes what you see.

00:39:40.000 --> 00:39:43.260 align:middle line:90%


00:39:43.260 --> 00:39:47.820 align:middle line:84%
Another great example of
this is lightness perception.

00:39:47.820 --> 00:39:50.340 align:middle line:84%
So as organisms,
we typically want

00:39:50.340 --> 00:39:53.110 align:middle line:84%
to infer what things in
the world are made of.

00:39:53.110 --> 00:39:55.790 align:middle line:84%
And that is partially signaled
by their pigmentation.

00:39:55.790 --> 00:39:58.510 align:middle line:84%
Now, the problem that we
face is that the light that

00:39:58.510 --> 00:40:01.350 align:middle line:84%
reaches your eye
from an object, it

00:40:01.350 --> 00:40:04.850 align:middle line:84%
depends not just on the
pigment of things in the world,

00:40:04.850 --> 00:40:06.690 align:middle line:84%
but also on the amount
of illumination.

00:40:06.690 --> 00:40:10.330 align:middle line:84%
So right now, the light level
in here is kind of moderate.

00:40:10.330 --> 00:40:11.842 align:middle line:90%
And so this surface is white.

00:40:11.842 --> 00:40:13.550 align:middle line:84%
And I'm getting a
certain amount of light

00:40:13.550 --> 00:40:14.998 align:middle line:90%
that is reflected off of it.

00:40:14.998 --> 00:40:17.290 align:middle line:84%
That's a function of the fact
that this thing is white.

00:40:17.290 --> 00:40:19.918 align:middle line:84%
And that means that it reflects
a high proportion of light,

00:40:19.918 --> 00:40:22.210 align:middle line:84%
but also the fact that the
illumination here is modest.

00:40:22.210 --> 00:40:24.550 align:middle line:84%
So if we walked out into
the center of the atrium,

00:40:24.550 --> 00:40:26.670 align:middle line:84%
where the light level
is much, much higher,

00:40:26.670 --> 00:40:29.950 align:middle line:84%
the number of photons that will
be coming off of the surface

00:40:29.950 --> 00:40:31.690 align:middle line:90%
will go way up.

00:40:31.690 --> 00:40:34.030 align:middle line:84%
Now, the amazing thing
about your visual system

00:40:34.030 --> 00:40:37.150 align:middle line:84%
is that the color of this thing
doesn't change by and large.

00:40:37.150 --> 00:40:40.310 align:middle line:84%
Most of the time, we have
what's called color constancy

00:40:40.310 --> 00:40:41.490 align:middle line:90%
or lightness constancy.

00:40:41.490 --> 00:40:44.190 align:middle line:84%
And so in order to do
that, your visual system

00:40:44.190 --> 00:40:48.350 align:middle line:84%
has to somehow discount
the illumination.

00:40:48.350 --> 00:40:51.240 align:middle line:84%
And so illusions are one
way that people have gotten

00:40:51.240 --> 00:40:53.320 align:middle line:90%
a lot of insight into this.

00:40:53.320 --> 00:40:56.360 align:middle line:84%
And so my PhD
advisor, Ted Adelson,

00:40:56.360 --> 00:40:59.480 align:middle line:84%
did a lot of the
pioneering work on this.

00:40:59.480 --> 00:41:01.920 align:middle line:90%
And this is one of my favorites.

00:41:01.920 --> 00:41:08.400 align:middle line:84%
So this is an illusion because
these ovals and these ovals

00:41:08.400 --> 00:41:09.860 align:middle line:90%
are the same shade of gray.

00:41:09.860 --> 00:41:14.120 align:middle line:90%


00:41:14.120 --> 00:41:15.880 align:middle line:90%
You look skeptical.

00:41:15.880 --> 00:41:17.800 align:middle line:90%
So they are.

00:41:17.800 --> 00:41:22.600 align:middle line:84%
And so this little test patch
can be dragged over here,

00:41:22.600 --> 00:41:25.520 align:middle line:84%
and then dragged up here to
verify that they are actually

00:41:25.520 --> 00:41:27.032 align:middle line:90%
the same.

00:41:27.032 --> 00:41:29.240 align:middle line:84%
Do people actually want to--
do you want to see that?

00:41:29.240 --> 00:41:29.400 align:middle line:90%
AUDIENCE: Yes.

00:41:29.400 --> 00:41:30.942 align:middle line:84%
JOSH MCDERMOTT: You
don't believe me?

00:41:30.942 --> 00:41:34.580 align:middle line:84%
OK, well, we're going to have
to satisfy your curiosity.

00:41:34.580 --> 00:41:37.112 align:middle line:90%


00:41:37.112 --> 00:41:38.820 align:middle line:84%
All right, so let's
see if I can do this.

00:41:38.820 --> 00:41:40.620 align:middle line:84%
So we've got our
test patch here.

00:41:40.620 --> 00:41:45.320 align:middle line:90%


00:41:45.320 --> 00:41:46.300 align:middle line:90%
That's the same, right?

00:41:46.300 --> 00:41:46.800 align:middle line:90%
OK.

00:41:46.800 --> 00:41:51.690 align:middle line:90%


00:41:51.690 --> 00:41:54.130 align:middle line:90%
Oh.

00:41:54.130 --> 00:41:55.970 align:middle line:90%
I tell you the truth, right?

00:41:55.970 --> 00:41:57.710 align:middle line:84%
I only say true
things in this class.

00:41:57.710 --> 00:42:03.610 align:middle line:90%


00:42:03.610 --> 00:42:04.390 align:middle line:90%
All right.

00:42:04.390 --> 00:42:09.054 align:middle line:90%


00:42:09.054 --> 00:42:12.810 align:middle line:90%
So why do they look different?

00:42:12.810 --> 00:42:13.650 align:middle line:90%
Yeah?

00:42:13.650 --> 00:42:16.390 align:middle line:84%
AUDIENCE: Because we make a lot
of inferences based on shadows.

00:42:16.390 --> 00:42:19.190 align:middle line:84%
And if we think that
even in the shadow

00:42:19.190 --> 00:42:21.930 align:middle line:84%
the bottom part is so
light, we automatically

00:42:21.930 --> 00:42:25.490 align:middle line:84%
associate higher than
[INAUDIBLE] the shadow

00:42:25.490 --> 00:42:28.890 align:middle line:90%
was typically with [INAUDIBLE]?

00:42:28.890 --> 00:42:30.970 align:middle line:84%
JOSH MCDERMOTT: Yeah, so
that's basically the way

00:42:30.970 --> 00:42:37.170 align:middle line:84%
that we think about this, that
this contains a lot of evidence

00:42:37.170 --> 00:42:40.490 align:middle line:84%
that the illumination level
down here is very, very low.

00:42:40.490 --> 00:42:43.610 align:middle line:84%
And there's a lot of evidence
that the illumination there

00:42:43.610 --> 00:42:44.710 align:middle line:90%
is actually very high.

00:42:44.710 --> 00:42:47.090 align:middle line:84%
So it's on the top
side of this thing.

00:42:47.090 --> 00:42:49.250 align:middle line:84%
You can see a little
highlight here indicates

00:42:49.250 --> 00:42:50.530 align:middle line:90%
there's a light source.

00:42:50.530 --> 00:42:54.650 align:middle line:84%
This is in the lower
region of this thing.

00:42:54.650 --> 00:42:57.490 align:middle line:84%
So all this evidence for
different illumination levels.

00:42:57.490 --> 00:43:00.250 align:middle line:84%
And so the same physical
amount of light in these two

00:43:00.250 --> 00:43:03.130 align:middle line:84%
different cases
is best explained

00:43:03.130 --> 00:43:04.970 align:middle line:84%
by their being very
different colors

00:43:04.970 --> 00:43:09.370 align:middle line:84%
of paint on the object
in these two settings.

00:43:09.370 --> 00:43:11.513 align:middle line:90%
So again, it's an illusion.

00:43:11.513 --> 00:43:12.430 align:middle line:90%
Why is it an illusion?

00:43:12.430 --> 00:43:14.510 align:middle line:84%
It's an illusion because these
things are physically the same,

00:43:14.510 --> 00:43:16.090 align:middle line:90%
but they look really different.

00:43:16.090 --> 00:43:19.690 align:middle line:84%
And it teaches us
something about the way

00:43:19.690 --> 00:43:20.830 align:middle line:90%
your visual system works.

00:43:20.830 --> 00:43:24.950 align:middle line:84%
And so you often think of
illusions as, in some sense,

00:43:24.950 --> 00:43:27.170 align:middle line:84%
your perceptual system
is making a mistake.

00:43:27.170 --> 00:43:30.370 align:middle line:84%
But as a perceptual
scientist, we typically

00:43:30.370 --> 00:43:32.850 align:middle line:84%
think that the
illusion represents

00:43:32.850 --> 00:43:36.850 align:middle line:84%
a sensible engineering
solution that is in your brain

00:43:36.850 --> 00:43:39.130 align:middle line:84%
that most of the time
is going to cause

00:43:39.130 --> 00:43:41.610 align:middle line:90%
you to see the world as it is.

00:43:41.610 --> 00:43:44.797 align:middle line:84%
So we think that the reason that
this works the way that it does

00:43:44.797 --> 00:43:46.380 align:middle line:84%
is, most of the time,
this is actually

00:43:46.380 --> 00:43:49.900 align:middle line:84%
helping you to correctly tell
that this thing is white.

00:43:49.900 --> 00:43:51.300 align:middle line:90%
Yeah?

00:43:51.300 --> 00:43:54.620 align:middle line:84%
AUDIENCE: I'm just interested
in knowing or seeing

00:43:54.620 --> 00:43:58.340 align:middle line:84%
your opinion on how much
of the other information

00:43:58.340 --> 00:44:04.600 align:middle line:84%
plays a role in causing
dilution because there

00:44:04.600 --> 00:44:06.140 align:middle line:90%
are squiggly lines around it.

00:44:06.140 --> 00:44:09.840 align:middle line:84%
And there's stuff
under, on the ground.

00:44:09.840 --> 00:44:14.500 align:middle line:84%
And so how much did that really
contribute to-- if it was just

00:44:14.500 --> 00:44:19.180 align:middle line:84%
a plain oval, would we still
have that sense of illusion?

00:44:19.180 --> 00:44:21.453 align:middle line:84%
JOSH MCDERMOTT: Yeah,
so Ted and other people

00:44:21.453 --> 00:44:24.120 align:middle line:84%
who have worked on these things
have looked at things like that.

00:44:24.120 --> 00:44:26.740 align:middle line:84%
And in general,
there's lots and lots

00:44:26.740 --> 00:44:29.180 align:middle line:84%
of little cues in
these displays that

00:44:29.180 --> 00:44:32.080 align:middle line:84%
add up to create this,
like incredible illusion.

00:44:32.080 --> 00:44:34.900 align:middle line:84%
And so if you take away
some of those clues,

00:44:34.900 --> 00:44:37.643 align:middle line:84%
it'll get a little bit
weaker and weaker and weaker.

00:44:37.643 --> 00:44:39.060 align:middle line:84%
In fact, when we
start, we'll have

00:44:39.060 --> 00:44:41.940 align:middle line:84%
a lecture on the problem
of lightness perception

00:44:41.940 --> 00:44:43.460 align:middle line:90%
in a couple of months.

00:44:43.460 --> 00:44:45.550 align:middle line:84%
And we'll see the
original version

00:44:45.550 --> 00:44:49.670 align:middle line:84%
of this that was discovered
150 years ago is way simpler.

00:44:49.670 --> 00:44:52.710 align:middle line:84%
It's essentially you
take the same gray square

00:44:52.710 --> 00:44:56.150 align:middle line:84%
and you surround it either
with white or something dark.

00:44:56.150 --> 00:44:58.090 align:middle line:84%
And there, you get
a small effect.

00:44:58.090 --> 00:45:00.050 align:middle line:84%
That's called
simultaneous contrast.

00:45:00.050 --> 00:45:02.447 align:middle line:84%
And this effect is
huge because there's

00:45:02.447 --> 00:45:04.030 align:middle line:84%
lots and lots of
these other cues that

00:45:04.030 --> 00:45:05.770 align:middle line:90%
have been added to the thing.

00:45:05.770 --> 00:45:08.470 align:middle line:84%
And so your brain is just
using all the different bits

00:45:08.470 --> 00:45:11.093 align:middle line:84%
of information it can
when it does this,

00:45:11.093 --> 00:45:12.010 align:middle line:90%
as far as we can tell.

00:45:12.010 --> 00:45:12.610 align:middle line:90%
Yeah?

00:45:12.610 --> 00:45:14.110 align:middle line:84%
AUDIENCE: And
actually, going off of

00:45:14.110 --> 00:45:19.150 align:middle line:84%
her question, I'm
wondering, is there--

00:45:19.150 --> 00:45:20.790 align:middle line:84%
because for the
top dots, they're

00:45:20.790 --> 00:45:23.975 align:middle line:84%
on the light portion
of the wavy lines,

00:45:23.975 --> 00:45:25.350 align:middle line:84%
whereas for the
bottom dots, they

00:45:25.350 --> 00:45:26.690 align:middle line:90%
correspond to a dark portion.

00:45:26.690 --> 00:45:27.940 align:middle line:90%
Does that contribute anything?

00:45:27.940 --> 00:45:29.168 align:middle line:90%
Or is it unrelated?

00:45:29.168 --> 00:45:30.210 align:middle line:90%
JOSH MCDERMOTT: Yeah, no.

00:45:30.210 --> 00:45:34.270 align:middle line:84%
That's one of those cues
that will have some effect.

00:45:34.270 --> 00:45:36.430 align:middle line:84%
Yeah, so there's
these local cues.

00:45:36.430 --> 00:45:40.543 align:middle line:84%
There's these geometric cues
related to shape, like the fact

00:45:40.543 --> 00:45:42.960 align:middle line:84%
that there's this blurriness
here because a lot of shadows

00:45:42.960 --> 00:45:43.980 align:middle line:90%
tend to be blurry.

00:45:43.980 --> 00:45:44.740 align:middle line:90%
That also helps.

00:45:44.740 --> 00:45:49.520 align:middle line:84%
There's a lot of stuff
that's working towards this.

00:45:49.520 --> 00:45:54.720 align:middle line:84%
OK, here's another example
in the motion domain, which

00:45:54.720 --> 00:45:57.420 align:middle line:90%
I will show you real quick.

00:45:57.420 --> 00:46:01.240 align:middle line:90%


00:46:01.240 --> 00:46:08.520 align:middle line:84%
So here, we have
some line segments.

00:46:08.520 --> 00:46:11.160 align:middle line:84%
And it looks like there are
these two pairs of line segments

00:46:11.160 --> 00:46:14.180 align:middle line:84%
that are moving more
or less independently.

00:46:14.180 --> 00:46:15.680 align:middle line:84%
So what I'm going
to do is I'm going

00:46:15.680 --> 00:46:18.520 align:middle line:84%
to add some other
shapes to this display.

00:46:18.520 --> 00:46:21.800 align:middle line:84%
And it's going to totally
change the motion that you see.

00:46:21.800 --> 00:46:25.760 align:middle line:84%
So now, you look at
this and you probably

00:46:25.760 --> 00:46:30.560 align:middle line:84%
see a diamond that's
moving around in a circle.

00:46:30.560 --> 00:46:32.220 align:middle line:84%
Are people seeing
that, more or less?

00:46:32.220 --> 00:46:32.720 align:middle line:90%
Yeah?

00:46:32.720 --> 00:46:33.440 align:middle line:90%
OK.

00:46:33.440 --> 00:46:35.720 align:middle line:84%
And so if I get
rid of them, you're

00:46:35.720 --> 00:46:41.170 align:middle line:84%
going to go back to seeing
these line segments.

00:46:41.170 --> 00:46:43.930 align:middle line:84%
So again, it's another example
of an ill-posed problem

00:46:43.930 --> 00:46:46.370 align:middle line:84%
because it's the
same image motion.

00:46:46.370 --> 00:46:49.450 align:middle line:84%
And it can be explained
in two different ways.

00:46:49.450 --> 00:46:51.970 align:middle line:84%
It can be explained by these
two pairs of line segments

00:46:51.970 --> 00:46:55.370 align:middle line:84%
that are moving separately
or by a single shape that's

00:46:55.370 --> 00:46:58.250 align:middle line:90%
moving around in a circle.

00:46:58.250 --> 00:47:01.462 align:middle line:90%


00:47:01.462 --> 00:47:05.010 align:middle line:84%
And in these two
different settings,

00:47:05.010 --> 00:47:07.130 align:middle line:84%
your brain is
preferentially choosing

00:47:07.130 --> 00:47:09.210 align:middle line:84%
one of those two
interpretations,

00:47:09.210 --> 00:47:11.470 align:middle line:84%
presumably based on what
it thinks is most likely.

00:47:11.470 --> 00:47:14.010 align:middle line:84%
So in this particular
case, you've

00:47:14.010 --> 00:47:16.250 align:middle line:84%
got these surfaces
that could be occluding

00:47:16.250 --> 00:47:18.010 align:middle line:90%
the corner of a diamond.

00:47:18.010 --> 00:47:21.570 align:middle line:84%
And so the diamond perception
seems pretty reasonable.

00:47:21.570 --> 00:47:26.530 align:middle line:84%
But without that, it seems like
the most likely explanation

00:47:26.530 --> 00:47:28.890 align:middle line:90%
is something different.

00:47:28.890 --> 00:47:31.750 align:middle line:84%
And so again, what do we learn
from this particular illusion?

00:47:31.750 --> 00:47:36.690 align:middle line:84%
Well, this shows us that,
when interpreting motion,

00:47:36.690 --> 00:47:39.740 align:middle line:84%
your brain seems to be taking
into account information

00:47:39.740 --> 00:47:42.860 align:middle line:84%
about occlusion, what
other surfaces there

00:47:42.860 --> 00:47:45.420 align:middle line:84%
are, and their potential
depth relationships to things.

00:47:45.420 --> 00:47:48.540 align:middle line:90%


00:47:48.540 --> 00:47:49.740 align:middle line:90%
OK.

00:47:49.740 --> 00:47:55.180 align:middle line:84%
So to give you a firsthand
taste of the role of illusions

00:47:55.180 --> 00:47:58.040 align:middle line:84%
and perception, we have
these illusion laboratories.

00:47:58.040 --> 00:48:00.780 align:middle line:84%
This is a web page that we
made for the version of this

00:48:00.780 --> 00:48:02.340 align:middle line:90%
a couple of years ago.

00:48:02.340 --> 00:48:05.940 align:middle line:84%
And so what you will do is
you'll be in these small teams.

00:48:05.940 --> 00:48:08.180 align:middle line:84%
And you will make
your own illusion

00:48:08.180 --> 00:48:10.800 align:middle line:84%
to try to answer some kind
of question about perception.

00:48:10.800 --> 00:48:12.500 align:middle line:84%
And so usually,
what people do is

00:48:12.500 --> 00:48:15.800 align:middle line:84%
they riff on things that they
encounter during the class.

00:48:15.800 --> 00:48:17.460 align:middle line:84%
And so over the
course of the class,

00:48:17.460 --> 00:48:19.200 align:middle line:84%
you'll encounter lots
of these effects.

00:48:19.200 --> 00:48:21.233 align:middle line:84%
And so many of you
have asked me questions

00:48:21.233 --> 00:48:22.400 align:middle line:90%
about how these things work.

00:48:22.400 --> 00:48:24.660 align:middle line:84%
Well, that's an experiment
that you can do.

00:48:24.660 --> 00:48:26.080 align:middle line:84%
So you can try
this out yourself.

00:48:26.080 --> 00:48:27.980 align:middle line:84%
And then you look at
it or you listen to it.

00:48:27.980 --> 00:48:29.022 align:middle line:90%
And you ask your friends.

00:48:29.022 --> 00:48:33.900 align:middle line:84%
And then you learn something
about how you see or hear.

00:48:33.900 --> 00:48:36.105 align:middle line:90%
AUDIENCE: I have a question.

00:48:36.105 --> 00:48:36.980 align:middle line:90%
JOSH MCDERMOTT: Yeah?

00:48:36.980 --> 00:48:39.750 align:middle line:84%
AUDIENCE: Would a person who has
an unknown broken link between

00:48:39.750 --> 00:48:41.330 align:middle line:84%
sound input and
sound processing--

00:48:41.330 --> 00:48:43.170 align:middle line:84%
so someone that could
generally hear fine,

00:48:43.170 --> 00:48:45.110 align:middle line:84%
but maybe misinterprets
what they're hearing--

00:48:45.110 --> 00:48:47.110 align:middle line:84%
would they still be able
to perceive an illusion

00:48:47.110 --> 00:48:50.310 align:middle line:90%
the same as a hearing person?

00:48:50.310 --> 00:48:53.110 align:middle line:90%
JOSH MCDERMOTT: I don't know.

00:48:53.110 --> 00:48:57.330 align:middle line:84%
So sorry, the question is
somebody whose ears work fine,

00:48:57.330 --> 00:48:59.430 align:middle line:84%
but maybe the downstream
auditory system

00:48:59.430 --> 00:49:01.130 align:middle line:90%
is not working normally?

00:49:01.130 --> 00:49:05.830 align:middle line:90%


00:49:05.830 --> 00:49:08.350 align:middle line:84%
So yeah, to my knowledge,
that has not really

00:49:08.350 --> 00:49:09.450 align:middle line:90%
been studied very much.

00:49:09.450 --> 00:49:12.750 align:middle line:90%


00:49:12.750 --> 00:49:15.030 align:middle line:84%
The main thing-- I mean,
one of the main things

00:49:15.030 --> 00:49:18.390 align:middle line:84%
that can cause the downstream
auditory system to malfunction

00:49:18.390 --> 00:49:21.448 align:middle line:84%
is brain damage that would
typically happen after a stroke

00:49:21.448 --> 00:49:23.490 align:middle line:84%
or if you hit your head
really hard, potentially.

00:49:23.490 --> 00:49:27.910 align:middle line:84%
And so there is
lots of instances

00:49:27.910 --> 00:49:32.790 align:middle line:84%
where people will report
difficulty understanding speech.

00:49:32.790 --> 00:49:36.430 align:middle line:84%
And it might well be
that if you tested people

00:49:36.430 --> 00:49:38.290 align:middle line:84%
on some of these
kinds of examples,

00:49:38.290 --> 00:49:39.730 align:middle line:84%
that would also
work differently.

00:49:39.730 --> 00:49:41.870 align:middle line:84%
But in practice,
most of the time,

00:49:41.870 --> 00:49:45.170 align:middle line:84%
you're worried about trying to
get them to communicate better.

00:49:45.170 --> 00:49:48.130 align:middle line:84%
And so you focus on
the speech deficit.

00:49:48.130 --> 00:49:52.170 align:middle line:84%
So I'm not aware of that
having been studied very much,

00:49:52.170 --> 00:49:52.930 align:middle line:90%
to be honest.

00:49:52.930 --> 00:49:55.990 align:middle line:90%


00:49:55.990 --> 00:49:56.830 align:middle line:90%
OK.

00:49:56.830 --> 00:50:00.183 align:middle line:84%
So why would you want
to study perception?

00:50:00.183 --> 00:50:02.350 align:middle line:84%
Well, one thing that's kind
of cool about it is it's

00:50:02.350 --> 00:50:04.130 align:middle line:90%
very relevant to everyday life.

00:50:04.130 --> 00:50:05.755 align:middle line:84%
So there's just lots
of things that you

00:50:05.755 --> 00:50:09.533 align:middle line:84%
experience on a daily basis that
really relate to perception.

00:50:09.533 --> 00:50:10.950 align:middle line:84%
And then as a
consequence of that,

00:50:10.950 --> 00:50:13.228 align:middle line:84%
everyday experience
can give you insights.

00:50:13.228 --> 00:50:14.270 align:middle line:90%
You'll be walking around.

00:50:14.270 --> 00:50:14.990 align:middle line:90%
And you'll see something.

00:50:14.990 --> 00:50:16.323 align:middle line:90%
And it looks a little bit funny.

00:50:16.323 --> 00:50:21.350 align:middle line:84%
And then you realize that it's
not necessarily how it seems.

00:50:21.350 --> 00:50:23.990 align:middle line:84%
There's also lots of
exciting applications.

00:50:23.990 --> 00:50:27.768 align:middle line:84%
So one important application
domain is prosthetics.

00:50:27.768 --> 00:50:29.810 align:middle line:84%
So we're going to talk
about this in a few weeks.

00:50:29.810 --> 00:50:33.310 align:middle line:84%
But lots of people lose
their hearing as they age,

00:50:33.310 --> 00:50:35.360 align:middle line:90%
in particular.

00:50:35.360 --> 00:50:37.840 align:middle line:84%
And so hearing aids
are a huge industry.

00:50:37.840 --> 00:50:39.020 align:middle line:90%
They work OK, but not great.

00:50:39.020 --> 00:50:40.480 align:middle line:84%
We'd like to make
them work better.

00:50:40.480 --> 00:50:42.560 align:middle line:84%
There's also cochlear
implants for someone

00:50:42.560 --> 00:50:47.380 align:middle line:84%
who's deaf, retinal implants
for someone who's blind.

00:50:47.380 --> 00:50:50.560 align:middle line:90%


00:50:50.560 --> 00:50:52.622 align:middle line:84%
There's lots of
exciting new directions

00:50:52.622 --> 00:50:55.080 align:middle line:84%
in all of those domains because
of some of the developments

00:50:55.080 --> 00:50:57.600 align:middle line:84%
that have been happening in
terms of computational models

00:50:57.600 --> 00:50:59.320 align:middle line:90%
of sensory systems.

00:50:59.320 --> 00:51:02.260 align:middle line:84%
It's also very relevant
to the design of displays.

00:51:02.260 --> 00:51:04.990 align:middle line:90%


00:51:04.990 --> 00:51:07.408 align:middle line:84%
Right now, in particular,
it's kind of an exciting time

00:51:07.408 --> 00:51:09.200 align:middle line:84%
to be working on
perception because there's

00:51:09.200 --> 00:51:13.040 align:middle line:84%
lots of interesting
analogs to AI systems.

00:51:13.040 --> 00:51:16.760 align:middle line:84%
And the other thing to note
is that sensory systems,

00:51:16.760 --> 00:51:23.440 align:middle line:84%
they have homologues,
typically, in non-human animals.

00:51:23.440 --> 00:51:28.640 align:middle line:84%
So other things that
we do with our brains

00:51:28.640 --> 00:51:30.120 align:middle line:90%
are fairly uniquely human.

00:51:30.120 --> 00:51:32.250 align:middle line:90%
Most animals don't talk.

00:51:32.250 --> 00:51:34.930 align:middle line:84%
It's not clear how
much they think.

00:51:34.930 --> 00:51:38.670 align:middle line:84%
But most animals see, and hear,
and smell, and taste, and touch.

00:51:38.670 --> 00:51:41.330 align:middle line:84%
So sensory systems
have classically

00:51:41.330 --> 00:51:43.350 align:middle line:84%
been model systems
for neuroscience.

00:51:43.350 --> 00:51:47.770 align:middle line:84%
And so knowing about perception
is important in that sense.

00:51:47.770 --> 00:51:48.270 align:middle line:90%
All right.

00:51:48.270 --> 00:51:52.130 align:middle line:84%
So just to summarize
what we talked about,

00:51:52.130 --> 00:51:55.330 align:middle line:84%
we talked about how perceptual
systems measure energy

00:51:55.330 --> 00:51:58.050 align:middle line:84%
from different
sources in the world,

00:51:58.050 --> 00:52:01.590 align:middle line:84%
and then try to infer what
caused that in the world.

00:52:01.590 --> 00:52:04.350 align:middle line:84%
We talked about how perception
is deceptively hard.

00:52:04.350 --> 00:52:06.753 align:middle line:84%
So you've got these sensory
organs that measure energy.

00:52:06.753 --> 00:52:08.170 align:middle line:84%
But then the rest
of your brain is

00:52:08.170 --> 00:52:10.530 align:middle line:84%
there to really take
that information

00:52:10.530 --> 00:52:13.447 align:middle line:84%
and figure out what
caused it in the world.

00:52:13.447 --> 00:52:16.030 align:middle line:84%
We talked about how perceptual
problems are usually ill-posed.

00:52:16.030 --> 00:52:19.410 align:middle line:84%
That means there's typically
not a unique solution.

00:52:19.410 --> 00:52:22.030 align:middle line:84%
And as a consequence, perception
is unconscious inference,

00:52:22.030 --> 00:52:23.992 align:middle line:84%
where you are
unconsciously trying

00:52:23.992 --> 00:52:25.450 align:middle line:84%
to choose what we
think is the best

00:52:25.450 --> 00:52:28.890 align:middle line:84%
explanation of the
sensory data that you get.

00:52:28.890 --> 00:52:31.660 align:middle line:84%
And we talked about how
illusions illustrate

00:52:31.660 --> 00:52:33.120 align:middle line:90%
perceptual mechanisms at work.

00:52:33.120 --> 00:52:35.537 align:middle line:84%
So they're fun to look at, but
they're also powerful tools

00:52:35.537 --> 00:52:37.980 align:middle line:84%
that we can use to help
understand your brain.

00:52:37.980 --> 00:52:43.060 align:middle line:84%
Any questions about what
I've talked about so far?

00:52:43.060 --> 00:52:43.908 align:middle line:90%
Yeah?

00:52:43.908 --> 00:52:45.700 align:middle line:84%
AUDIENCE: Well, we
talked about perceptions

00:52:45.700 --> 00:52:47.340 align:middle line:90%
of unconscious inference.

00:52:47.340 --> 00:52:49.680 align:middle line:84%
But sometimes, especially
with illusions,

00:52:49.680 --> 00:52:52.660 align:middle line:84%
sometimes when we notice
an illusion or see it,

00:52:52.660 --> 00:52:56.200 align:middle line:84%
we can understand it
consciously as well,

00:52:56.200 --> 00:52:57.620 align:middle line:90%
like in a different way.

00:52:57.620 --> 00:53:01.940 align:middle line:84%
And is that why it's in
parentheses, like unconscious

00:53:01.940 --> 00:53:02.440 align:middle line:90%
inference?

00:53:02.440 --> 00:53:05.620 align:middle line:84%
Because sometimes it
is kind of conscious?

00:53:05.620 --> 00:53:07.940 align:middle line:84%
JOSH MCDERMOTT: That's
not what I meant.

00:53:07.940 --> 00:53:13.577 align:middle line:84%
I was just-- yeah, I could
take away the parentheses.

00:53:13.577 --> 00:53:15.160 align:middle line:84%
And that would be
equally appropriate.

00:53:15.160 --> 00:53:17.580 align:middle line:84%
But the point is
perception is inference.

00:53:17.580 --> 00:53:19.420 align:middle line:84%
But it's a particular
type of inference

00:53:19.420 --> 00:53:20.760 align:middle line:90%
that is typically unconscious.

00:53:20.760 --> 00:53:25.820 align:middle line:84%
And so sometimes when you're
made aware of an illusion,

00:53:25.820 --> 00:53:28.930 align:middle line:84%
you can then think about it
and try to understand it.

00:53:28.930 --> 00:53:30.930 align:middle line:84%
They're often actually
quite hard to understand.

00:53:30.930 --> 00:53:33.790 align:middle line:84%
And part of that is because
the perceptual systems are

00:53:33.790 --> 00:53:35.842 align:middle line:84%
often fairly, what we
call, encapsulated.

00:53:35.842 --> 00:53:37.550 align:middle line:84%
You don't really have
a tremendous amount

00:53:37.550 --> 00:53:39.610 align:middle line:84%
of conscious insight into
why does that look light

00:53:39.610 --> 00:53:40.777 align:middle line:90%
and why does that look dark.

00:53:40.777 --> 00:53:44.030 align:middle line:84%
You have to think
about it and stuff.

00:53:44.030 --> 00:53:48.190 align:middle line:84%
So that's just an interesting
characteristic of perception,

00:53:48.190 --> 00:53:49.790 align:middle line:90%
that you're--

00:53:49.790 --> 00:53:52.750 align:middle line:84%
yeah, it's often
fairly impenetrable.

00:53:52.750 --> 00:53:56.790 align:middle line:84%
But there are interesting
cases of what people will often

00:53:56.790 --> 00:53:59.750 align:middle line:84%
refer to as top-down
effects, where maybe

00:53:59.750 --> 00:54:04.550 align:middle line:84%
what you think then influences
what you see or hear.

00:54:04.550 --> 00:54:10.910 align:middle line:84%
So there are interesting
cases of that, yeah.

00:54:10.910 --> 00:54:14.030 align:middle line:90%
OK.

00:54:14.030 --> 00:54:20.045 align:middle line:84%
So the sense of hearing exists
to measure sound and use

00:54:20.045 --> 00:54:22.170 align:middle line:84%
it to infer what's happening
in the ear around you.

00:54:22.170 --> 00:54:25.610 align:middle line:84%
So sound is produced when
objects in the world vibrate.

00:54:25.610 --> 00:54:28.600 align:middle line:84%
They transmit acoustic energy
through a surrounding medium

00:54:28.600 --> 00:54:30.960 align:middle line:90%
in the form of a wave.

00:54:30.960 --> 00:54:34.280 align:middle line:84%
The task of the ears is to
measure sound and transmit that

00:54:34.280 --> 00:54:36.060 align:middle line:84%
to the brain as an
electrical signal.

00:54:36.060 --> 00:54:38.540 align:middle line:84%
And the task of the brain
is to interpret that signal,

00:54:38.540 --> 00:54:43.360 align:middle line:84%
and then to use it to figure out
what is out there in the world.

00:54:43.360 --> 00:54:45.140 align:middle line:90%
So sound waves are longitudinal.

00:54:45.140 --> 00:54:46.760 align:middle line:84%
So that means they
consist of regions

00:54:46.760 --> 00:54:49.343 align:middle line:84%
of high and low pressure that
move away from the sound source.

00:54:49.343 --> 00:54:52.540 align:middle line:84%
Here, we have a tuning
fork that's been whacked.

00:54:52.540 --> 00:54:54.000 align:middle line:90%
So it's vibrating.

00:54:54.000 --> 00:54:56.120 align:middle line:84%
And there'll be this
longitudinal wave

00:54:56.120 --> 00:54:58.400 align:middle line:84%
that moves away
from it with regions

00:54:58.400 --> 00:55:00.100 align:middle line:90%
of compression and rarefaction.

00:55:00.100 --> 00:55:02.960 align:middle line:90%


00:55:02.960 --> 00:55:03.460 align:middle line:90%
All right.

00:55:03.460 --> 00:55:04.877 align:middle line:84%
So some facts about
sound-- so one

00:55:04.877 --> 00:55:07.040 align:middle line:84%
is that it needs a
medium to carry it.

00:55:07.040 --> 00:55:10.800 align:middle line:84%
How many people have
seen this movie?

00:55:10.800 --> 00:55:11.940 align:middle line:90%
Every year, it's a couple.

00:55:11.940 --> 00:55:13.860 align:middle line:84%
Yeah, you should all
go watch this movie.

00:55:13.860 --> 00:55:15.280 align:middle line:90%
It's one of my favorites, OK?

00:55:15.280 --> 00:55:19.600 align:middle line:84%
So Alien is a movie
that came out in 1979.

00:55:19.600 --> 00:55:23.020 align:middle line:84%
And it takes place
far in the future.

00:55:23.020 --> 00:55:26.680 align:middle line:84%
There's a whole bunch of people
that are on this spaceship.

00:55:26.680 --> 00:55:28.813 align:middle line:84%
And they get an alert
beacon from this planet

00:55:28.813 --> 00:55:29.480 align:middle line:90%
they're passing.

00:55:29.480 --> 00:55:32.980 align:middle line:84%
And they go down there and
some bad things happen.

00:55:32.980 --> 00:55:36.560 align:middle line:84%
And they end up with this
monster on the spaceship.

00:55:36.560 --> 00:55:39.660 align:middle line:84%
And then they have
to deal with that.

00:55:39.660 --> 00:55:42.300 align:middle line:90%
And lots of bad things happen.

00:55:42.300 --> 00:55:45.400 align:middle line:84%
And so this is the poster
that was originally

00:55:45.400 --> 00:55:48.100 align:middle line:90%
used to publicize the movie.

00:55:48.100 --> 00:55:51.900 align:middle line:84%
And you can see that it's
got this slogan, "In space,

00:55:51.900 --> 00:55:55.320 align:middle line:90%
no one can hear you scream."

00:55:55.320 --> 00:55:56.920 align:middle line:90%
So why is that?

00:55:56.920 --> 00:55:57.923 align:middle line:90%
AUDIENCE: [INAUDIBLE]

00:55:57.923 --> 00:55:59.340 align:middle line:84%
JOSH MCDERMOTT:
There's no medium.

00:55:59.340 --> 00:55:59.882 align:middle line:90%
That's right.

00:55:59.882 --> 00:56:00.920 align:middle line:90%
Space is a vacuum.

00:56:00.920 --> 00:56:02.760 align:middle line:90%
So there's no sound in space.

00:56:02.760 --> 00:56:05.340 align:middle line:84%
So they won't be able
to hear you scream.

00:56:05.340 --> 00:56:07.120 align:middle line:84%
So sound needs a
medium to carry it.

00:56:07.120 --> 00:56:10.840 align:middle line:90%


00:56:10.840 --> 00:56:12.680 align:middle line:84%
So sound travels
through the medium.

00:56:12.680 --> 00:56:14.920 align:middle line:84%
The speed of sound is
proportional to the density

00:56:14.920 --> 00:56:16.920 align:middle line:90%
of a medium.

00:56:16.920 --> 00:56:19.480 align:middle line:84%
So sound in air at
room temperature moves

00:56:19.480 --> 00:56:22.360 align:middle line:90%
at 343 meters per second.

00:56:22.360 --> 00:56:25.210 align:middle line:84%
So in water, because water is
denser, the speed is faster,

00:56:25.210 --> 00:56:26.810 align:middle line:90%
1,500 meters per second.

00:56:26.810 --> 00:56:28.970 align:middle line:84%
In solid objects,
it gets really fast.

00:56:28.970 --> 00:56:31.955 align:middle line:90%


00:56:31.955 --> 00:56:34.570 align:middle line:84%
So the intensity of
a sound is the energy

00:56:34.570 --> 00:56:38.330 align:middle line:84%
that's transmitted per
second through a unit area.

00:56:38.330 --> 00:56:40.670 align:middle line:84%
But the speed is independent
of a sound's intensity.

00:56:40.670 --> 00:56:44.610 align:middle line:84%
So whether you speak quietly
or yell really loudly,

00:56:44.610 --> 00:56:47.930 align:middle line:84%
the sound will travel at
the same rate away from you.

00:56:47.930 --> 00:56:52.590 align:middle line:84%
What does change with
distance is intensity.

00:56:52.590 --> 00:56:55.330 align:middle line:84%
So it's often
approximately the case

00:56:55.330 --> 00:56:57.140 align:middle line:84%
that, when something
is making sound,

00:56:57.140 --> 00:56:58.890 align:middle line:84%
the waves that travel
away from the source

00:56:58.890 --> 00:57:01.410 align:middle line:90%
are approximately spherical.

00:57:01.410 --> 00:57:03.010 align:middle line:84%
And so the
consequence of that is

00:57:03.010 --> 00:57:05.650 align:middle line:84%
that, as you move
away from the source,

00:57:05.650 --> 00:57:07.890 align:middle line:84%
by conservation of
energy, the energy that's

00:57:07.890 --> 00:57:10.130 align:middle line:84%
in the sphere of
remains the same.

00:57:10.130 --> 00:57:11.690 align:middle line:90%
But the sphere gets bigger.

00:57:11.690 --> 00:57:16.370 align:middle line:84%
And so the energy per unit
area drops as you move away

00:57:16.370 --> 00:57:17.730 align:middle line:90%
from the source.

00:57:17.730 --> 00:57:19.810 align:middle line:84%
And it drops with the
square of the distance

00:57:19.810 --> 00:57:21.730 align:middle line:84%
because the area
of that sphere is

00:57:21.730 --> 00:57:24.020 align:middle line:84%
proportional to the
square of the distance.

00:57:24.020 --> 00:57:26.260 align:middle line:84%
And so that's known as
the inverse square law.

00:57:26.260 --> 00:57:28.420 align:middle line:84%
So there are these very
predictable relationships

00:57:28.420 --> 00:57:32.280 align:middle line:84%
between how close you are to
something and how loud it is.

00:57:32.280 --> 00:57:35.900 align:middle line:90%


00:57:35.900 --> 00:57:36.440 align:middle line:90%
All right.

00:57:36.440 --> 00:57:39.260 align:middle line:84%
So the last thing we're
going to talk about today

00:57:39.260 --> 00:57:40.940 align:middle line:90%
is the decibel scale.

00:57:40.940 --> 00:57:43.780 align:middle line:84%
So sound, sound
level specifically,

00:57:43.780 --> 00:57:45.485 align:middle line:90%
is measured in decibels.

00:57:45.485 --> 00:57:47.860 align:middle line:84%
So one of the remarkable things
about the auditory system

00:57:47.860 --> 00:57:51.460 align:middle line:84%
is that it can deal with a huge
range of sound intensities.

00:57:51.460 --> 00:57:54.960 align:middle line:84%
So typically, instead of talking
about intensity directly,

00:57:54.960 --> 00:57:57.580 align:middle line:84%
we use a logarithmic
scale of the ratio

00:57:57.580 --> 00:58:00.300 align:middle line:90%
between two sound intensities.

00:58:00.300 --> 00:58:06.220 align:middle line:84%
So a bel is defined
as a ratio of 10 to 1.

00:58:06.220 --> 00:58:08.780 align:middle line:84%
So if you want to know
the number of bels that

00:58:08.780 --> 00:58:12.300 align:middle line:84%
differentiate two sounds--
one with having pressure P1

00:58:12.300 --> 00:58:14.940 align:middle line:84%
and the other
having pressure P0--

00:58:14.940 --> 00:58:18.580 align:middle line:84%
you take the log to the
base 10 of their ratio.

00:58:18.580 --> 00:58:22.310 align:middle line:84%
So it turns out that bels
are impractically large.

00:58:22.310 --> 00:58:24.910 align:middle line:84%
So a lot of the differences
that actually matter in sound

00:58:24.910 --> 00:58:26.330 align:middle line:90%
are smaller than that.

00:58:26.330 --> 00:58:29.450 align:middle line:84%
And so we use the
decibel scale instead.

00:58:29.450 --> 00:58:31.170 align:middle line:84%
So a decibel is
a tenth of a bel.

00:58:31.170 --> 00:58:34.830 align:middle line:84%
And so the number of decibels by
which two sounds are different--

00:58:34.830 --> 00:58:36.710 align:middle line:90%
the pressures P1 and P2--

00:58:36.710 --> 00:58:41.110 align:middle line:84%
is 10 to the log
10 of that ratio.

00:58:41.110 --> 00:58:46.490 align:middle line:84%
So if you increase the
sound level by 10 decibels--

00:58:46.490 --> 00:58:48.170 align:middle line:84%
this stands for
power, not pressure.

00:58:48.170 --> 00:58:49.110 align:middle line:90%
I misspoke.

00:58:49.110 --> 00:58:50.990 align:middle line:90%
So these are power measurements.

00:58:50.990 --> 00:58:54.510 align:middle line:84%
So if you increase the sound
level by 10 dB, 10 decibels,

00:58:54.510 --> 00:58:57.470 align:middle line:84%
that means a 10-fold increase in
power because log to the base 10

00:58:57.470 --> 00:58:58.930 align:middle line:90%
of 10 is 1.

00:58:58.930 --> 00:59:01.890 align:middle line:84%
20 dB is a 100-fold
increase in power.

00:59:01.890 --> 00:59:06.070 align:middle line:90%


00:59:06.070 --> 00:59:11.120 align:middle line:84%
So typically, we will
describe particular things

00:59:11.120 --> 00:59:12.370 align:middle line:90%
in terms of their sound level.

00:59:12.370 --> 00:59:14.787 align:middle line:84%
So I might say, well, I went
to a rock concert last night.

00:59:14.787 --> 00:59:18.390 align:middle line:90%
And it was 120 dB.

00:59:18.390 --> 00:59:22.800 align:middle line:84%
Whenever we say that,
we are implicitly

00:59:22.800 --> 00:59:27.040 align:middle line:84%
measuring things with reference
to an agreed upon reference

00:59:27.040 --> 00:59:28.280 align:middle line:90%
sound level.

00:59:28.280 --> 00:59:31.200 align:middle line:90%
Here, it's called P0.

00:59:31.200 --> 00:59:33.960 align:middle line:84%
So there is a
Bureau of Standards

00:59:33.960 --> 00:59:37.240 align:middle line:84%
that's responsible for all
these kinds of references.

00:59:37.240 --> 00:59:39.080 align:middle line:84%
And if you go to the
Bureau of Standards

00:59:39.080 --> 00:59:41.320 align:middle line:84%
and you look up this
reference, you'll

00:59:41.320 --> 00:59:43.880 align:middle line:84%
find there's this
particular number that's

00:59:43.880 --> 00:59:46.800 align:middle line:84%
been chosen as the
reference level for what

00:59:46.800 --> 00:59:49.220 align:middle line:84%
are called sound pressure
level measurements.

00:59:49.220 --> 00:59:52.680 align:middle line:84%
And that particular
value, P0, is

00:59:52.680 --> 00:59:55.440 align:middle line:84%
chosen to be close to the
minimum detectable sound

00:59:55.440 --> 00:59:58.000 align:middle line:90%
level for humans.

00:59:58.000 --> 01:00:01.820 align:middle line:84%
So 0 dB is defined to be
that reference sound level.

01:00:01.820 --> 01:00:04.200 align:middle line:84%
So if you have a
sound that is at 0 dB,

01:00:04.200 --> 01:00:08.640 align:middle line:84%
that means that ratio in there
is 1 Because log of 1 is 0.

01:00:08.640 --> 01:00:12.900 align:middle line:84%
And so that means that sound
is at that power level.

01:00:12.900 --> 01:00:15.520 align:middle line:84%
And so that's intended
to be the quietest thing

01:00:15.520 --> 01:00:17.380 align:middle line:90%
that you can hear.

01:00:17.380 --> 01:00:19.770 align:middle line:84%
Of course, this is all
approximate, because everybody's

01:00:19.770 --> 01:00:21.145 align:middle line:84%
hearing's a little
bit different.

01:00:21.145 --> 01:00:23.370 align:middle line:84%
But roughly speaking,
something that is 0 dB SPL

01:00:23.370 --> 01:00:25.770 align:middle line:84%
is supposed to be just the
quietest thing that you could

01:00:25.770 --> 01:00:27.353 align:middle line:84%
detect under perfect
conditions if you

01:00:27.353 --> 01:00:30.590 align:middle line:90%
were in a really quiet room.

01:00:30.590 --> 01:00:33.090 align:middle line:84%
And so when we measure sound
levels in this way with respect

01:00:33.090 --> 01:00:35.730 align:middle line:84%
to that standard reference--
so if you have a sound meter,

01:00:35.730 --> 01:00:37.970 align:middle line:90%
like we have in our lab--

01:00:37.970 --> 01:00:44.210 align:middle line:84%
we will say that the sound
is, in this case, 120 dB SPL.

01:00:44.210 --> 01:00:46.730 align:middle line:84%
So when you say dB SPL,
it means that you're

01:00:46.730 --> 01:00:48.730 align:middle line:84%
using this special
reference that

01:00:48.730 --> 01:00:53.650 align:middle line:84%
is close to the threshold
of human hearing.

01:00:53.650 --> 01:00:54.150 align:middle line:90%
All right.

01:00:54.150 --> 01:00:56.190 align:middle line:84%
So here are some
example SPL values.

01:00:56.190 --> 01:00:58.690 align:middle line:84%
As we said, 0 is designed
to be close to the threshold

01:00:58.690 --> 01:01:00.370 align:middle line:90%
of hearing.

01:01:00.370 --> 01:01:03.770 align:middle line:84%
Normal breathing
would be around 10 dB.

01:01:03.770 --> 01:01:06.690 align:middle line:84%
A very, very soft
whisper would be 30 dB;

01:01:06.690 --> 01:01:12.030 align:middle line:84%
quiet conversation, 50 dB; busy
traffic on Massachusetts Avenue,

01:01:12.030 --> 01:01:14.210 align:middle line:84%
for instance, might
be around 70 dB.

01:01:14.210 --> 01:01:16.520 align:middle line:84%
Somebody shouts
right next to you,

01:01:16.520 --> 01:01:19.180 align:middle line:90%
it'd be close to maybe 90 dB.

01:01:19.180 --> 01:01:22.300 align:middle line:84%
Once you get into the
hundreds of decibels,

01:01:22.300 --> 01:01:25.468 align:middle line:84%
you're getting sound levels
where prolonged exposure can

01:01:25.468 --> 01:01:27.260 align:middle line:84%
cause hearing loss,
where you should really

01:01:27.260 --> 01:01:30.020 align:middle line:90%
be wearing earplugs.

01:01:30.020 --> 01:01:33.180 align:middle line:84%
120 decibels is a
propeller plane at takeoff.

01:01:33.180 --> 01:01:38.405 align:middle line:84%
And 140 decibels is roughly the
sound level of a jet at takeoff.

01:01:38.405 --> 01:01:40.280 align:middle line:84%
And supposedly, that's
the threshold of pain.

01:01:40.280 --> 01:01:41.800 align:middle line:84%
I've never experienced
that myself.

01:01:41.800 --> 01:01:42.760 align:middle line:90%
And I don't intend to.

01:01:42.760 --> 01:01:45.900 align:middle line:90%


01:01:45.900 --> 01:01:48.897 align:middle line:84%
So this is the last thing that
we're going to talk about.

01:01:48.897 --> 01:01:49.980 align:middle line:90%
And then I'm going to end.

01:01:49.980 --> 01:01:52.940 align:middle line:84%
So another reason to
use the decibel scale,

01:01:52.940 --> 01:01:55.020 align:middle line:84%
and the main one that
is very, very common

01:01:55.020 --> 01:01:58.140 align:middle line:84%
in perceptual science, is
that human discrimination

01:01:58.140 --> 01:02:01.980 align:middle line:84%
thresholds-- so that means the
smallest change in intensity

01:02:01.980 --> 01:02:03.900 align:middle line:90%
that you can detect.

01:02:03.900 --> 01:02:07.460 align:middle line:84%
Human discrimination thresholds
are roughly constant when

01:02:07.460 --> 01:02:09.200 align:middle line:90%
you measure them in decibels.

01:02:09.200 --> 01:02:11.220 align:middle line:84%
And usually,
they're on the order

01:02:11.220 --> 01:02:14.302 align:middle line:84%
of 1 decibel in
optimal conditions.

01:02:14.302 --> 01:02:15.260 align:middle line:90%
So what does that mean?

01:02:15.260 --> 01:02:17.980 align:middle line:84%
That means that if we have
a pretty quiet sound, so

01:02:17.980 --> 01:02:22.600 align:middle line:84%
like, say, 40 or dB, you'll
just be able-- so if it's 40 dB,

01:02:22.600 --> 01:02:25.200 align:middle line:84%
you'll just be able to
detect a change in intensity

01:02:25.200 --> 01:02:27.860 align:middle line:90%
if I move it up to 41.

01:02:27.860 --> 01:02:30.780 align:middle line:84%
Similarly, if I have a
pretty loud sound, 90 dB,

01:02:30.780 --> 01:02:33.440 align:middle line:84%
you'll just be able to
detect a change in intensity

01:02:33.440 --> 01:02:35.580 align:middle line:90%
if I move it up to 91 dB.

01:02:35.580 --> 01:02:38.060 align:middle line:84%
And so the decibel
scale ends up being

01:02:38.060 --> 01:02:41.860 align:middle line:84%
pretty convenient because the
changes that you can detect

01:02:41.860 --> 01:02:48.060 align:middle line:84%
are pretty constant as a
function of sound intensity.

01:02:48.060 --> 01:02:48.560 align:middle line:90%
All right.

01:02:48.560 --> 01:02:50.560 align:middle line:84%
So I'm going to quickly
play you some demos that

01:02:50.560 --> 01:02:52.620 align:middle line:90%
illustrate the decibel scale.

01:02:52.620 --> 01:02:53.713 align:middle line:90%
Here you go.

01:02:53.713 --> 01:02:54.380 align:middle line:90%
[AUDIO PLAYBACK]

01:02:54.380 --> 01:02:57.020 align:middle line:90%
- The decibel scale.

01:02:57.020 --> 01:03:03.180 align:middle line:84%
Broadband noise is reduced
in 10 steps of six decibels.

01:03:03.180 --> 01:03:05.160 align:middle line:84%
Demonstrations
are repeated once.

01:03:05.160 --> 01:03:05.743 align:middle line:90%
[END PLAYBACK]

01:03:05.743 --> 01:03:06.618 align:middle line:90%
JOSH MCDERMOTT: Oops.

01:03:06.618 --> 01:03:07.240 align:middle line:90%
OK, sorry.

01:03:07.240 --> 01:03:09.740 align:middle line:84%
So I wanted to pause this just
to say so this is going to be

01:03:09.740 --> 01:03:11.740 align:middle line:90%
6-decibel steps.

01:03:11.740 --> 01:03:14.210 align:middle line:84%
So I told you that your
threshold is around 1 dB.

01:03:14.210 --> 01:03:16.650 align:middle line:84%
So these 6-decibel steps
will be very, very obvious.

01:03:16.650 --> 01:03:19.410 align:middle line:90%
OK, let's do it.

01:03:19.410 --> 01:03:20.790 align:middle line:90%
[AUDIO PLAYBACK]

01:03:20.790 --> 01:03:26.310 align:middle line:84%
- The decibel is reduced in
10 steps of six decibels.

01:03:26.310 --> 01:03:29.238 align:middle line:84%
Demonstrations
are repeated once.

01:03:29.238 --> 01:03:32.166 align:middle line:90%
[PULSING STATIC]

01:03:32.166 --> 01:03:39.974 align:middle line:90%


01:03:39.974 --> 01:03:41.158 align:middle line:90%
[END PLAYBACK]

01:03:41.158 --> 01:03:41.950 align:middle line:90%
JOSH MCDERMOTT: OK.

01:03:41.950 --> 01:03:45.030 align:middle line:84%
Now, in this example,
the next one,

01:03:45.030 --> 01:03:47.950 align:middle line:84%
I think this is in
1-decibel steps.

01:03:47.950 --> 01:03:50.507 align:middle line:84%
So these steps should just
barely be discriminable.

01:03:50.507 --> 01:03:52.590 align:middle line:84%
And a lot of times, you
might not be 100% positive

01:03:52.590 --> 01:03:53.810 align:middle line:90%
if the level is changing.

01:03:53.810 --> 01:03:56.483 align:middle line:84%
But you'll be able to then
hear it over a couple steps.

01:03:56.483 --> 01:03:57.150 align:middle line:90%
[AUDIO PLAYBACK]

01:03:57.150 --> 01:04:02.396 align:middle line:84%
- Broadband noise is reduced
in 20 steps of one decibel.

01:04:02.396 --> 01:04:05.312 align:middle line:90%
[PULSING STATIC]

01:04:05.312 --> 01:04:13.988 align:middle line:90%


01:04:13.988 --> 01:04:14.780 align:middle line:90%
JOSH MCDERMOTT: OK.

01:04:14.780 --> 01:04:17.940 align:middle line:84%
So that's very close
to your discriminant--

01:04:17.940 --> 01:04:19.410 align:middle line:90%
[PULSING STATIC]

01:04:19.410 --> 01:04:20.880 align:middle line:90%
[LAUGHTER]

01:04:20.880 --> 01:04:23.820 align:middle line:90%
[END PLAYBACK]

01:04:23.820 --> 01:04:26.257 align:middle line:90%


01:04:26.257 --> 01:04:27.340 align:middle line:90%
JOSH MCDERMOTT: All right.

01:04:27.340 --> 01:04:29.440 align:middle line:84%
So those steps were very
close to your discrimination

01:04:29.440 --> 01:04:29.940 align:middle line:90%
threshold.

01:04:29.940 --> 01:04:31.080 align:middle line:84%
And you could probably
just barely tell

01:04:31.080 --> 01:04:32.220 align:middle line:90%
that that was changing.

01:04:32.220 --> 01:04:34.760 align:middle line:90%
So that's the decibel scale.

01:04:34.760 --> 01:04:36.733 align:middle line:84%
That's how we measure
sound intensities.

01:04:36.733 --> 01:04:37.900 align:middle line:90%
It's always based on ratios.

01:04:37.900 --> 01:04:39.680 align:middle line:90%
There's got to be a reference.

01:04:39.680 --> 01:04:42.800 align:middle line:84%
And we use it because it's
pretty closely related

01:04:42.800 --> 01:04:44.180 align:middle line:90%
to discrimination thresholds.

01:04:44.180 --> 01:04:45.520 align:middle line:90%
We're going to end there.

01:04:45.520 --> 01:04:46.652 align:middle line:90%
Welcome to 935.

01:04:46.652 --> 01:04:47.860 align:middle line:90%
We're happy to have you here.

01:04:47.860 --> 01:04:50.060 align:middle line:84%
I'm going to have
office hours upstairs.

01:04:50.060 --> 01:04:52.280 align:middle line:84%
You're welcome to come
by, no obligation.

01:04:52.280 --> 01:04:54.710 align:middle line:90%
And we will see you Tuesday.

01:04:54.710 --> 01:05:10.000 align:middle line:90%