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The most complex thing we have discovered in the universe... | 0:00:03 | 0:00:06 | |
..is the human brain. | 0:00:08 | 0:00:09 | |
For the past 20 years, I have been trying to understand | 0:00:13 | 0:00:16 | |
how what happens in three pounds of Jell-O-like material | 0:00:16 | 0:00:21 | |
somehow becomes us. | 0:00:21 | 0:00:24 | |
What we feel, what matters to us, our beliefs and our hopes - | 0:00:27 | 0:00:32 | |
everything we are happens in here. | 0:00:32 | 0:00:36 | |
For me, there is one mystery that is absolutely fundamental - | 0:00:42 | 0:00:47 | |
what is reality? | 0:00:47 | 0:00:48 | |
What if I told you that this world around us, | 0:00:50 | 0:00:53 | |
this richly textured world, | 0:00:53 | 0:00:55 | |
were all just an illusion constructed in your head? | 0:00:55 | 0:00:59 | |
What if I said that the real world has no smell or taste? | 0:01:04 | 0:01:09 | |
No sound? | 0:01:10 | 0:01:12 | |
BACKGROUND NOISE CUTS OUT | 0:01:12 | 0:01:14 | |
What if I said there was no colour? | 0:01:16 | 0:01:19 | |
If you could perceive reality as it really is out there, | 0:01:23 | 0:01:26 | |
you wouldn't recognise it at all. | 0:01:26 | 0:01:28 | |
I want to show you how the brain takes in information, | 0:01:31 | 0:01:36 | |
sifts through it to find patterns, | 0:01:36 | 0:01:39 | |
and uses it to build the multi-sensory technicolour show | 0:01:39 | 0:01:45 | |
that is your reality. | 0:01:45 | 0:01:48 | |
When I am in the world, my senses are flooded | 0:02:09 | 0:02:12 | |
with sights and sounds and smells. | 0:02:12 | 0:02:15 | |
It seems obvious that reality is just out there. | 0:02:15 | 0:02:18 | |
There is a person, there is a cab. | 0:02:18 | 0:02:21 | |
All I have to do show up | 0:02:21 | 0:02:23 | |
and my senses let me experience it all. | 0:02:23 | 0:02:26 | |
But there is a twist to this story. | 0:02:29 | 0:02:32 | |
Let me show you something. | 0:02:32 | 0:02:34 | |
So take a look at this middle square here. | 0:02:36 | 0:02:38 | |
Does that look more similar to the light square or the dark? | 0:02:38 | 0:02:41 | |
Well, it looks like a light square, yeah? | 0:02:41 | 0:02:43 | |
You might be surprised that if I move it, | 0:02:43 | 0:02:45 | |
now it looks like a dark square. | 0:02:45 | 0:02:47 | |
-SHE GASPS -Oh, my God. | 0:02:47 | 0:02:49 | |
It is the same. | 0:02:49 | 0:02:51 | |
-Oh! -It is surprising, right? -It is. | 0:02:51 | 0:02:54 | |
-Oh, my goodness. -Wow. | 0:02:54 | 0:02:56 | |
Seriously? | 0:02:57 | 0:02:59 | |
DAVID LAUGHS | 0:02:59 | 0:03:00 | |
Do you have a guess as to why there is an illusion here? | 0:03:00 | 0:03:03 | |
Well, it seems like there is a shadow, | 0:03:03 | 0:03:06 | |
-so it makes this darker. -That is exactly right. | 0:03:06 | 0:03:09 | |
Your brain is trying to understand the colours of things | 0:03:09 | 0:03:12 | |
irrespective of the lighting and the shadows. | 0:03:12 | 0:03:16 | |
So somehow it's not about what's hitting your eyes, | 0:03:16 | 0:03:19 | |
it is about your brain's interpretation. | 0:03:19 | 0:03:21 | |
That's...really trippy. | 0:03:21 | 0:03:23 | |
You have just messed up my whole day. | 0:03:23 | 0:03:25 | |
DAVID LAUGHS | 0:03:25 | 0:03:27 | |
Now this is about more than just a visual illusion. | 0:03:27 | 0:03:30 | |
It's about a fact that's central to our lives. | 0:03:32 | 0:03:35 | |
Our perception of reality has less to do with what's happening out there | 0:03:37 | 0:03:41 | |
and more to do with what's happening in here. | 0:03:41 | 0:03:43 | |
To understand what's going on, | 0:03:48 | 0:03:50 | |
we first need to know how information from the world around us | 0:03:50 | 0:03:54 | |
gets into the brain. | 0:03:54 | 0:03:56 | |
It feels as if sights and sounds just stream in | 0:03:59 | 0:04:03 | |
through our eyes and our ears. | 0:04:03 | 0:04:04 | |
But imagine if you could climb inside a human skull. | 0:04:06 | 0:04:11 | |
When you step into the skull, | 0:04:11 | 0:04:13 | |
you will find that there is no way for light or sounds | 0:04:13 | 0:04:15 | |
or smells to get directly in here. | 0:04:15 | 0:04:18 | |
This is a sealed chamber... | 0:04:26 | 0:04:28 | |
..so the brain sits in darkness and silence. | 0:04:30 | 0:04:34 | |
It's in total isolation. | 0:04:36 | 0:04:38 | |
Your brain has never seen the outside world, | 0:04:39 | 0:04:42 | |
but somehow you experience it. | 0:04:42 | 0:04:45 | |
Now this might seem straightforward | 0:04:45 | 0:04:47 | |
because we have portals to the outside world, | 0:04:47 | 0:04:49 | |
like your eyes and ears, | 0:04:49 | 0:04:51 | |
but these aren't just piping in sights and sounds. | 0:04:51 | 0:04:55 | |
Instead, photons of light or air compression waves, | 0:04:55 | 0:04:58 | |
these are getting converted into the common currency of the brain - | 0:04:58 | 0:05:02 | |
electrochemical signals. | 0:05:02 | 0:05:04 | |
These signals travel through | 0:05:08 | 0:05:10 | |
dense networks of brain cells called neurons. | 0:05:10 | 0:05:13 | |
There are 100 billion neurons in the human brain, | 0:05:18 | 0:05:22 | |
and in every second of your life, | 0:05:22 | 0:05:25 | |
each one of these is sending tens or hundreds of electrical pulses | 0:05:25 | 0:05:30 | |
to thousands of other neurons. | 0:05:30 | 0:05:33 | |
And somehow, all of this activity produces your sense of reality. | 0:05:33 | 0:05:39 | |
So whether it is the bark of a dog or the smell of coffee | 0:05:39 | 0:05:42 | |
or a view of a beautiful sunset, | 0:05:42 | 0:05:45 | |
it's all made of the same stuff in here. | 0:05:45 | 0:05:48 | |
And this is the stuff of reality. | 0:05:51 | 0:05:54 | |
But how does the brain turn it into something meaningful? | 0:05:58 | 0:06:03 | |
Well, it does it by sifting through the nonstop stream of incoming data | 0:06:03 | 0:06:08 | |
to find patterns, which are then assembled into a reality. | 0:06:08 | 0:06:11 | |
It's an operation which is the product | 0:06:13 | 0:06:15 | |
of millions of years of evolution. | 0:06:15 | 0:06:18 | |
So efficient, so powerful | 0:06:18 | 0:06:21 | |
that its work seems effortless and instantaneous. | 0:06:21 | 0:06:25 | |
Take, as an example, sight. | 0:06:31 | 0:06:34 | |
The act of seeing feels so natural | 0:06:36 | 0:06:40 | |
that it's hard to appreciate the vast, sophisticated machinery | 0:06:40 | 0:06:44 | |
running under the hood. | 0:06:44 | 0:06:46 | |
For us to see clearly, | 0:06:48 | 0:06:50 | |
many different systems need to be operating in concert. | 0:06:50 | 0:06:54 | |
It's about more than just the eyes. | 0:06:54 | 0:06:56 | |
The best way to understand this | 0:06:59 | 0:07:00 | |
is to look at the extraordinary case of a man who lost his sight... | 0:07:00 | 0:07:05 | |
..and then was given the chance to get it back. | 0:07:06 | 0:07:09 | |
I lost my sight when I was three-and-a-half years old | 0:07:13 | 0:07:16 | |
as the result of a chemical explosion. | 0:07:16 | 0:07:19 | |
Oddly, it didn't seem like it was a big deal. | 0:07:19 | 0:07:22 | |
I guess as a three-and-a-half year old, | 0:07:22 | 0:07:24 | |
my world according to vision was not as well-established | 0:07:24 | 0:07:28 | |
as it would be for somebody who lost their vision later in life. | 0:07:28 | 0:07:31 | |
After over 40 years of blindness, | 0:07:33 | 0:07:36 | |
Mike May had pioneering stem-cell treatment | 0:07:36 | 0:07:39 | |
that would repair the physical damage | 0:07:39 | 0:07:41 | |
that the explosion caused to his eyes. | 0:07:41 | 0:07:44 | |
Cameras were there to witness the moment | 0:07:46 | 0:07:48 | |
when, for the first time, the bandages came off. | 0:07:48 | 0:07:53 | |
'Dr Goodman does the cornea transplant.' | 0:07:53 | 0:07:55 | |
'He peels back the bandages.' | 0:07:58 | 0:08:01 | |
He gets all the way off, and there is this whoosh of light | 0:08:01 | 0:08:06 | |
and bombarding of images onto my eye. | 0:08:06 | 0:08:10 | |
Holy smoke! | 0:08:10 | 0:08:11 | |
In surgical terms, the operation was a total success. | 0:08:13 | 0:08:16 | |
What's across the room over here? | 0:08:16 | 0:08:18 | |
But to Mike, it wasn't. | 0:08:18 | 0:08:21 | |
There was something wrong. | 0:08:21 | 0:08:23 | |
All of a sudden, you turn on this flood of visual information. | 0:08:24 | 0:08:28 | |
It's overwhelming. | 0:08:28 | 0:08:29 | |
My brain is just going, "Oh, my gosh." | 0:08:32 | 0:08:35 | |
So that is how the world proceeded - one image at a time. | 0:08:38 | 0:08:41 | |
Seeing cars as they whizzed by... | 0:08:43 | 0:08:45 | |
..and then I would see a sign ahead of us | 0:08:46 | 0:08:48 | |
and it looked like we were going to smack right into it. | 0:08:48 | 0:08:51 | |
In fact, it's the sign over the freeway | 0:08:51 | 0:08:53 | |
and we are not going to run into it, we are going under it. | 0:08:53 | 0:08:56 | |
That was only the first hour. | 0:08:58 | 0:09:00 | |
It was going to get worse when Mike got home. | 0:09:01 | 0:09:04 | |
If you put four blonde boys together, | 0:09:05 | 0:09:08 | |
all roughly the same height... | 0:09:08 | 0:09:10 | |
I looked at them, I couldn't tell you which two were mine. | 0:09:10 | 0:09:13 | |
Don't go away, I've not finished looking at you. | 0:09:13 | 0:09:15 | |
Mike's new eyes were functioning perfectly | 0:09:17 | 0:09:20 | |
and they were sending signals to the brain just like yours or mine do, | 0:09:20 | 0:09:24 | |
but he couldn't see his sons in any meaningful way. | 0:09:24 | 0:09:28 | |
I had no face recognition whatsoever. None. | 0:09:30 | 0:09:33 | |
When he had been totally blind, Mike was a Paralympic skier. | 0:09:35 | 0:09:39 | |
But his first sighted attempt at skiing was a complete failure. | 0:09:39 | 0:09:44 | |
When I skied for the first time, | 0:09:44 | 0:09:47 | |
because of my depth perception difficulty, | 0:09:47 | 0:09:49 | |
I had no time to figure out the difference between four dark things | 0:09:49 | 0:09:54 | |
on the white snow - | 0:09:54 | 0:09:55 | |
a person, a tree, | 0:09:55 | 0:10:01 | |
a shadow or a hole. | 0:10:01 | 0:10:05 | |
Ten years on, Mike still needs his guide dog to get around. | 0:10:11 | 0:10:15 | |
He can detect light and motion and identify colours, | 0:10:17 | 0:10:21 | |
but he struggles to gauge how far are things are. | 0:10:21 | 0:10:24 | |
He still can't read the expressions on his sons' faces. | 0:10:26 | 0:10:30 | |
He still can't read words on a page. | 0:10:30 | 0:10:32 | |
What Mike's story gives us | 0:10:36 | 0:10:38 | |
is a glimpse of all the elements that have to be in place | 0:10:38 | 0:10:41 | |
for the brain to construct a visual reality. | 0:10:41 | 0:10:44 | |
Many regions of the brain are involved in vision. | 0:10:47 | 0:10:51 | |
They specialise in different aspects, such as motions, edges, | 0:10:51 | 0:10:56 | |
colours, face recognition. | 0:10:56 | 0:10:59 | |
Somehow, the brain weaves all of this together, | 0:10:59 | 0:11:02 | |
unifies it to form what we experience as an image. | 0:11:02 | 0:11:06 | |
In Mike's case, decades of blindness | 0:11:08 | 0:11:11 | |
caused these regions of his brain to be taken over for other tasks, | 0:11:11 | 0:11:16 | |
like hearing and touch. | 0:11:16 | 0:11:17 | |
They just weren't available for him to use, | 0:11:17 | 0:11:20 | |
even when he was given a pair of new eyes. | 0:11:20 | 0:11:23 | |
We often get our best view of how the brain operates | 0:11:34 | 0:11:37 | |
when that operation is disrupted. | 0:11:37 | 0:11:39 | |
-Hey, Brian. -Hey. | 0:11:42 | 0:11:45 | |
That is why neuroscientists sometimes disrupt things deliberately. | 0:11:45 | 0:11:50 | |
Brian is part of an experiment being conducted by Alyssa Brewer | 0:11:52 | 0:11:56 | |
at the University of California. | 0:11:56 | 0:11:58 | |
-Good to see you. -Welcome. Are you ready to try the goggles on? | 0:11:58 | 0:12:01 | |
Oh, I am ready. | 0:12:01 | 0:12:02 | |
'Volunteers wear these goggles for weeks at a time. | 0:12:02 | 0:12:06 | |
'Their brains are forced to cope with a new view of the world | 0:12:06 | 0:12:09 | |
'that is dramatically altered.' | 0:12:09 | 0:12:11 | |
What these have inside are two prisms | 0:12:11 | 0:12:14 | |
that take the whole visual world and flip it. | 0:12:14 | 0:12:16 | |
So whatever you see normally on the left side of the world | 0:12:16 | 0:12:18 | |
will now be on the right side of the world. | 0:12:18 | 0:12:20 | |
So as you move through the world, you're going to have a problem | 0:12:20 | 0:12:23 | |
figuring out where things are as you see them on one side | 0:12:23 | 0:12:26 | |
but reach for them on the opposite side. | 0:12:26 | 0:12:29 | |
What the world looks like is this, | 0:12:29 | 0:12:32 | |
but what I'm seeing... | 0:12:32 | 0:12:34 | |
is this. | 0:12:34 | 0:12:35 | |
It is a straightforward change, | 0:12:35 | 0:12:37 | |
but it's also a massive mind mash. | 0:12:37 | 0:12:39 | |
The visual data streaming in through my eyes | 0:12:43 | 0:12:46 | |
no longer makes any intuitive sense, | 0:12:46 | 0:12:49 | |
and I'm struggling. | 0:12:49 | 0:12:51 | |
So, yeah, because the world is left-right flipped, | 0:12:54 | 0:12:57 | |
I know cognitively I am supposed to reach out in the other direction, | 0:12:57 | 0:13:01 | |
but, of course, I have had a lifetime of training | 0:13:01 | 0:13:03 | |
telling me to reach out in a particular direction. | 0:13:03 | 0:13:07 | |
So I feel like this is going to take a little getting used to. | 0:13:07 | 0:13:11 | |
Can you see my hand in your visual field? | 0:13:11 | 0:13:13 | |
Yeah, so it looks like if I reach out this way... | 0:13:13 | 0:13:15 | |
And...this way. | 0:13:15 | 0:13:17 | |
THEY LAUGH | 0:13:17 | 0:13:18 | |
'Even though I'm consciously trying to get it right...' | 0:13:20 | 0:13:23 | |
Over...here, OK. | 0:13:23 | 0:13:25 | |
'..I can't help but respond in a certain way.' | 0:13:25 | 0:13:28 | |
And over here. | 0:13:30 | 0:13:31 | |
There you go. Very good. | 0:13:34 | 0:13:36 | |
-Welcome to the prism world. -Yes. | 0:13:36 | 0:13:39 | |
Of course, this is all new to me, | 0:13:40 | 0:13:43 | |
but Brian has been wearing his goggles for a week. | 0:13:43 | 0:13:46 | |
So how well has his brain adapted? | 0:13:48 | 0:13:50 | |
It is very difficult to figure out which way to go, | 0:13:55 | 0:13:58 | |
so his motor system, his feeling of touch | 0:13:58 | 0:14:01 | |
is sending him one direction | 0:14:01 | 0:14:02 | |
while his visual system is sending him the other direction. | 0:14:02 | 0:14:05 | |
Brian is doing well. | 0:14:16 | 0:14:18 | |
Unlike me. | 0:14:20 | 0:14:22 | |
I have to consciously reconstruct my reality. | 0:14:23 | 0:14:27 | |
This morning, my brain could rely on automated interactions, | 0:14:27 | 0:14:31 | |
but now it can't. | 0:14:31 | 0:14:33 | |
Interestingly, I've broken out in a sweat and I'm hot, | 0:14:34 | 0:14:37 | |
and I'm super-dizzy and nauseated. | 0:14:37 | 0:14:40 | |
You know what? I've got to take a break. | 0:14:40 | 0:14:42 | |
I'm so sorry. I've got to take these off for a second. | 0:14:42 | 0:14:45 | |
Is that OK? | 0:14:45 | 0:14:46 | |
Boy, that is really nauseating. | 0:14:48 | 0:14:50 | |
We're going to go to the maze down here and see how you guys do | 0:14:53 | 0:14:55 | |
in navigating your way through a spatial map. | 0:14:55 | 0:14:59 | |
-You're going to start out going this way. -OK. -Brian, you're going to... | 0:14:59 | 0:15:03 | |
Oh, God! SHE LAUGHS | 0:15:03 | 0:15:06 | |
I'm just going to give him a head start. | 0:15:06 | 0:15:08 | |
So how do I get as good as Brian? | 0:15:08 | 0:15:11 | |
Well, it happens intuitively. | 0:15:13 | 0:15:16 | |
Just look at my hands. | 0:15:18 | 0:15:20 | |
I cross-reference what I see with what I can touch. | 0:15:21 | 0:15:24 | |
In fact, all my senses come into play. | 0:15:27 | 0:15:30 | |
This is what Brian has been doing for the last seven days. | 0:15:30 | 0:15:34 | |
The result is that his brain is now starting to decode | 0:15:40 | 0:15:43 | |
that new visual input automatically. | 0:15:43 | 0:15:46 | |
Brian is not simply getting better at making conscious adjustments - | 0:15:50 | 0:15:55 | |
his whole reality is changing. | 0:15:55 | 0:15:57 | |
If you take those subjects and put goggles on them for two weeks, | 0:16:09 | 0:16:12 | |
you find that it takes them about a week to start behaving normally. | 0:16:12 | 0:16:15 | |
They start being able to figure out how to interact with the world, | 0:16:15 | 0:16:19 | |
constructing a new reality around them, | 0:16:19 | 0:16:21 | |
a new way of dealing with these incoming perceptions. | 0:16:21 | 0:16:24 | |
They say that initially they can tell there is a new left | 0:16:24 | 0:16:27 | |
and an old left, and a new right and old right. | 0:16:27 | 0:16:29 | |
By about a week in, they even lose the concept | 0:16:31 | 0:16:33 | |
of which right and left were the old ones and the new ones. | 0:16:33 | 0:16:36 | |
It is like their whole spatial map of the world is altering. | 0:16:36 | 0:16:38 | |
By two weeks in, they will write well, read without a problem, | 0:16:38 | 0:16:42 | |
do all of our walking tasks and reaching tasks. | 0:16:42 | 0:16:44 | |
Then when we remove their goggles, | 0:16:44 | 0:16:46 | |
it actually takes about a day to go back to normal behaviour. | 0:16:46 | 0:16:49 | |
What this exposes for me is how much effort the brain goes through | 0:16:49 | 0:16:53 | |
to construct our world, | 0:16:53 | 0:16:55 | |
because normally you're walking through the world | 0:16:55 | 0:16:59 | |
and it feels like there's reality out there. | 0:16:59 | 0:17:01 | |
But in fact there is so much work happening behind the scenes | 0:17:03 | 0:17:07 | |
to allow that reality to happen. | 0:17:07 | 0:17:10 | |
Seeing requires an intensive training programme, | 0:17:10 | 0:17:14 | |
but new recruits come on board every day. | 0:17:14 | 0:17:18 | |
We call them babies. | 0:17:18 | 0:17:20 | |
When babies reach out to touch what's in front of them, | 0:17:23 | 0:17:26 | |
they are not just learning what an object feels like, | 0:17:26 | 0:17:29 | |
they're learning how to see. | 0:17:29 | 0:17:31 | |
They're establishing pathways in the brain that will be used | 0:17:32 | 0:17:36 | |
for the rest of their lives. | 0:17:36 | 0:17:37 | |
Because vision is a whole-body experience. | 0:17:39 | 0:17:43 | |
The data coming in from our eyes only means something | 0:17:46 | 0:17:50 | |
if we can cross-reference it. | 0:17:50 | 0:17:53 | |
BABY BABBLES | 0:17:53 | 0:17:54 | |
If from birth you weren't able to interact with the world, | 0:17:54 | 0:17:58 | |
if you couldn't work out through feedback | 0:17:58 | 0:18:00 | |
what the sensory information meant, | 0:18:00 | 0:18:03 | |
in theory, you would never be able to see. | 0:18:03 | 0:18:05 | |
This cross-referencing doesn't stop when we are fully grown. | 0:18:10 | 0:18:14 | |
It continues throughout our lives. | 0:18:17 | 0:18:20 | |
What we touch influences how we see. | 0:18:22 | 0:18:26 | |
Taste is affected by our sense of smell. | 0:18:29 | 0:18:32 | |
Our sight informs how we hear. | 0:18:34 | 0:18:37 | |
Our senses depend on each other, | 0:18:39 | 0:18:42 | |
and our reality is built by comparing these streams of data. | 0:18:42 | 0:18:46 | |
When they're woven together, we get our perception of this moment. | 0:18:48 | 0:18:53 | |
It's an astonishing feat to pull off, | 0:18:56 | 0:18:58 | |
but there's one factor which really adds complication... | 0:18:58 | 0:19:02 | |
..timing. | 0:19:03 | 0:19:05 | |
Al those streams of sensory data | 0:19:08 | 0:19:11 | |
are processed by the brain at different speeds. | 0:19:11 | 0:19:14 | |
For our reality to be constructed, they have to be synchronised. | 0:19:14 | 0:19:18 | |
What do I mean by this? | 0:19:21 | 0:19:23 | |
Well, the easiest way for me to show you is right here at a racetrack. | 0:19:23 | 0:19:27 | |
Set. | 0:19:28 | 0:19:29 | |
When there is a loud sound, it feels as though you react to it instantly. | 0:19:32 | 0:19:37 | |
But you don't. | 0:19:40 | 0:19:41 | |
Watching sprinters in slow motion, | 0:19:47 | 0:19:50 | |
we can see that there is a gap | 0:19:50 | 0:19:52 | |
between the gun going off and their start. | 0:19:52 | 0:19:55 | |
They may train to make this gap as small as possible, | 0:20:02 | 0:20:05 | |
but their biology imposes limits. | 0:20:05 | 0:20:09 | |
Processing that sound | 0:20:09 | 0:20:11 | |
then sending out signals to the muscles to move | 0:20:11 | 0:20:15 | |
will take around two-tenths of a second. | 0:20:15 | 0:20:17 | |
GUN FIRES | 0:20:21 | 0:20:22 | |
And that time really can't be improved on. | 0:20:24 | 0:20:26 | |
In a sport where thousandths of a second can be the difference | 0:20:30 | 0:20:34 | |
between winning and losing, it seems surprisingly slow. | 0:20:34 | 0:20:37 | |
So why do we use a pistol to start sprinters? | 0:20:41 | 0:20:44 | |
Everyone knows that light travels faster than sound, | 0:20:44 | 0:20:47 | |
so why not use a light? | 0:20:47 | 0:20:49 | |
We set up a test to show you. | 0:20:54 | 0:20:56 | |
In the top screen, we're triggered by a light. | 0:20:57 | 0:21:00 | |
In the bottom screen, we're triggered by the gun. | 0:21:01 | 0:21:05 | |
GUN FIRES | 0:21:05 | 0:21:06 | |
You can see that when our start is triggered by a flash of light, | 0:21:06 | 0:21:10 | |
we respond more slowly. | 0:21:10 | 0:21:12 | |
It takes 40 milliseconds longer to process. | 0:21:16 | 0:21:19 | |
Why? | 0:21:21 | 0:21:23 | |
Because the visual system is more complex. | 0:21:23 | 0:21:26 | |
It's bigger - it involves almost a third of the brain. | 0:21:28 | 0:21:32 | |
So while all of the electrical signals inside the brain | 0:21:32 | 0:21:35 | |
travel at the same speed, | 0:21:35 | 0:21:38 | |
the ones related to sight go through more complex processing, | 0:21:38 | 0:21:42 | |
and that takes time. | 0:21:42 | 0:21:43 | |
This isn't just about hearing and seeing. | 0:21:50 | 0:21:53 | |
Every type of sensory information | 0:21:53 | 0:21:56 | |
takes a different amount of time to process. | 0:21:56 | 0:21:58 | |
You will react slower to a touch on the foot than one on the hand. | 0:22:02 | 0:22:07 | |
The astonishing thing is that our brains hide all this. | 0:22:09 | 0:22:13 | |
When I clap my hands, everything seems synchronised. Why? | 0:22:18 | 0:22:24 | |
Well, your brain is pulling off fancy editing tricks. | 0:22:24 | 0:22:27 | |
What it takes to be reality is actually the delayed version | 0:22:27 | 0:22:32 | |
that collects all the information from the senses | 0:22:32 | 0:22:35 | |
before it decides on a story of what happened. | 0:22:35 | 0:22:38 | |
That means you live in the past. | 0:22:38 | 0:22:42 | |
By the time you think the moment "now" occurs... | 0:22:42 | 0:22:45 | |
it's already long gone. | 0:22:45 | 0:22:47 | |
To conjure a reality from all that sensory information, | 0:22:47 | 0:22:51 | |
your brain needs around half a second. | 0:22:51 | 0:22:54 | |
That's the unbridgeable gap between an event occurring... | 0:22:56 | 0:23:00 | |
..and your conscious experience of it. | 0:23:01 | 0:23:03 | |
In that half a second, a lot of things need to happen. | 0:23:05 | 0:23:09 | |
Sometimes it's easy to assume that there is a single spot in the brain | 0:23:14 | 0:23:18 | |
that takes care of this or that function - | 0:23:18 | 0:23:20 | |
like an area for memory or generosity or empathy. | 0:23:20 | 0:23:25 | |
But in fact, the vast networks of the brain | 0:23:25 | 0:23:27 | |
are so much more complex than that. | 0:23:27 | 0:23:30 | |
Think of the brain like a city. | 0:23:30 | 0:23:32 | |
If you were to look out over a city and ask, | 0:23:40 | 0:23:42 | |
"Where is the economy located?" | 0:23:42 | 0:23:45 | |
you'd see that there is no single answer to that. | 0:23:45 | 0:23:48 | |
Instead, the economy emerges as an interaction of all the elements. | 0:23:48 | 0:23:54 | |
So it is with reality. | 0:23:56 | 0:23:58 | |
The raw materials of perception are gathered by our sensory receptors. | 0:23:59 | 0:24:04 | |
They are turned into electrical signals | 0:24:07 | 0:24:09 | |
and transported around our brains along superhighways of neurons. | 0:24:09 | 0:24:14 | |
Processed, they become our reality. | 0:24:16 | 0:24:19 | |
Some parts of Brain City specialise in vision, | 0:24:21 | 0:24:25 | |
other districts care about hearing, | 0:24:25 | 0:24:28 | |
some about touch, and so on. | 0:24:28 | 0:24:30 | |
Even within a sense like vision, | 0:24:33 | 0:24:35 | |
you have streets that specialise in colours, or edges, or motions. | 0:24:35 | 0:24:40 | |
But just like in a city... | 0:24:47 | 0:24:48 | |
no neighbourhood operates in isolation. | 0:24:48 | 0:24:52 | |
Instead, the life of a city depends on the interaction | 0:24:52 | 0:24:55 | |
between residents at all different scales. | 0:24:55 | 0:24:59 | |
And somehow, out of all of this interaction | 0:24:59 | 0:25:02 | |
emerges your personal reality. | 0:25:02 | 0:25:05 | |
Reality is the brain's ultimate construction. | 0:25:11 | 0:25:15 | |
It's based on all the streams of data from our senses, | 0:25:15 | 0:25:18 | |
but it's not dependent on them. How do we know? | 0:25:18 | 0:25:22 | |
Because when you take it all away, reality doesn't stop. | 0:25:22 | 0:25:27 | |
It just gets stranger. | 0:25:29 | 0:25:31 | |
This is Alcatraz. | 0:25:35 | 0:25:37 | |
A jail built on the principle of isolation. | 0:25:40 | 0:25:43 | |
Between its inmates in the rest of society stood not only stone walls... | 0:25:45 | 0:25:50 | |
..but the cold, dangerous waters of the San Francisco Bay. | 0:25:51 | 0:25:55 | |
Prisoners were completely and deliberately cut off. | 0:25:58 | 0:26:03 | |
And there was one place inside the prison | 0:26:07 | 0:26:09 | |
where that seclusion went even further. | 0:26:09 | 0:26:12 | |
This is the Hole. | 0:26:19 | 0:26:20 | |
Prisoners who were sent here were completely isolated | 0:26:20 | 0:26:23 | |
from the outside world. | 0:26:23 | 0:26:24 | |
They had no interactions with people, | 0:26:24 | 0:26:27 | |
there was no sound and there was no light. | 0:26:27 | 0:26:29 | |
Robert Luke was sent to Alcatraz in 1954 for armed robbery. | 0:26:33 | 0:26:38 | |
He was known by the nickname Cold Blue Luke. | 0:26:38 | 0:26:42 | |
Everybody knew about the Dark Hole. | 0:26:43 | 0:26:46 | |
The Dark Hole was a bad place. | 0:26:46 | 0:26:48 | |
Some guys couldn't take that. | 0:26:51 | 0:26:53 | |
I mean, they were in there and within a couple of days | 0:26:53 | 0:26:55 | |
they were banging their heads on the wall. | 0:26:55 | 0:26:57 | |
As punishment for smashing up his cell, | 0:26:59 | 0:27:01 | |
he was sent to the Hole for 29 straight days. | 0:27:01 | 0:27:05 | |
You didn't know how you would act when you got in there. | 0:27:08 | 0:27:11 | |
You didn't want to find out. | 0:27:11 | 0:27:13 | |
When they closed that door... | 0:27:13 | 0:27:16 | |
..there was just nothing there. It is pitch-black. | 0:27:18 | 0:27:21 | |
But it didn't stay that way for long. | 0:27:22 | 0:27:24 | |
Starved of input, Luke's brain started to produce its own reality. | 0:27:27 | 0:27:33 | |
I remember I'd go on these trips. | 0:27:36 | 0:27:38 | |
One I used to remember was flying a kite. | 0:27:38 | 0:27:41 | |
It got pretty real. | 0:27:43 | 0:27:45 | |
They were all in my head. | 0:27:46 | 0:27:48 | |
What Luke felt was something that has also been reported by other prisoners | 0:27:49 | 0:27:53 | |
kept in the same conditions. | 0:27:53 | 0:27:55 | |
Deprived of new sensory information, | 0:28:00 | 0:28:03 | |
they said they went beyond dreaming or daydreaming. | 0:28:03 | 0:28:05 | |
They didn't just imagine pictures... | 0:28:07 | 0:28:09 | |
..they saw. | 0:28:11 | 0:28:13 | |
This testimony goes to the heart of the relationship | 0:28:16 | 0:28:19 | |
between the outside world, | 0:28:19 | 0:28:22 | |
the brain, and what we called reality. | 0:28:22 | 0:28:26 | |
To understand it, we need to look more deeply into the visual system. | 0:28:27 | 0:28:31 | |
This is the thalamus - | 0:28:37 | 0:28:38 | |
one of the brain's major junctions. | 0:28:38 | 0:28:41 | |
Most sensory information connects through here | 0:28:41 | 0:28:44 | |
on its way to the outer surface of the brain, the cortex. | 0:28:44 | 0:28:49 | |
So data collected from the eyes stops here | 0:28:49 | 0:28:52 | |
before going to the visual cortex. | 0:28:52 | 0:28:55 | |
Now, you'd expect a heavy flow of information | 0:28:55 | 0:28:58 | |
from the thalamus to the visual cortex, and there is. | 0:28:58 | 0:29:03 | |
But there is six times as much traffic | 0:29:03 | 0:29:06 | |
flowing in the opposite direction, | 0:29:06 | 0:29:08 | |
and that dwarfs the amount coming in from the eyes. | 0:29:08 | 0:29:12 | |
That suggests that in any one moment, | 0:29:18 | 0:29:21 | |
what we experience as seeing | 0:29:21 | 0:29:24 | |
relies less on the light streaming into our eyes | 0:29:24 | 0:29:27 | |
and more on what is already inside our heads. | 0:29:27 | 0:29:32 | |
Even when brains are unanchored from external data, | 0:29:32 | 0:29:35 | |
they continue to generate their own imagery. | 0:29:35 | 0:29:39 | |
In other words, remove the world, and the show still goes on. | 0:29:39 | 0:29:43 | |
We all have this internally generated reality. | 0:29:46 | 0:29:50 | |
Incredible as it may sound, this world lives inside your brain. | 0:29:51 | 0:29:58 | |
It's constantly updated by information from our senses, | 0:30:00 | 0:30:04 | |
but moment to moment what we experience | 0:30:04 | 0:30:07 | |
isn't what's really out there. | 0:30:07 | 0:30:10 | |
Instead, it's a beautifully rendered simulation. | 0:30:10 | 0:30:14 | |
This is a surprising way to understand how you see the world. | 0:30:16 | 0:30:20 | |
It's called the internal model. | 0:30:20 | 0:30:24 | |
And it's vital to our ability to function. | 0:30:24 | 0:30:27 | |
As I walk down this city street, I seem to automatically | 0:30:29 | 0:30:32 | |
know what things are without having to work out the details. | 0:30:32 | 0:30:36 | |
For example, I don't have to work out the detail of what this rectangular, | 0:30:36 | 0:30:40 | |
metallic thing is, or this giant green, fluffy thing behind me, | 0:30:40 | 0:30:44 | |
or this huge object with reflective panes on it, | 0:30:44 | 0:30:48 | |
or this thing with four appendages. | 0:30:48 | 0:30:51 | |
My brain makes assumptions about what I'm seeing | 0:30:51 | 0:30:54 | |
based on my internal model, | 0:30:54 | 0:30:57 | |
and that's been built up from years of experience of walking city streets | 0:30:57 | 0:31:00 | |
just like this one. | 0:31:00 | 0:31:02 | |
Instead of using my senses to rebuild my reality from scratch every moment, | 0:31:03 | 0:31:09 | |
I'm comparing sensory information | 0:31:09 | 0:31:11 | |
with a model that I've already constructed. | 0:31:11 | 0:31:14 | |
Updating it. | 0:31:16 | 0:31:18 | |
Refining it. | 0:31:18 | 0:31:20 | |
Correcting it. | 0:31:20 | 0:31:22 | |
Our brains are so good at doing this that we're normally unaware of it. | 0:31:22 | 0:31:27 | |
But sometimes, under certain conditions, | 0:31:27 | 0:31:30 | |
we can see the process at work. | 0:31:30 | 0:31:33 | |
Look at this hollow mask of Einstein's face. | 0:31:36 | 0:31:39 | |
Your brain tells you it's coming out at you. | 0:31:41 | 0:31:44 | |
And even when you know it's an illusion | 0:31:46 | 0:31:48 | |
you can't help but fall for it. | 0:31:48 | 0:31:51 | |
What you're seeing is the internal model, | 0:31:56 | 0:31:59 | |
not the raw information that's coming in from your eyes. | 0:31:59 | 0:32:02 | |
Your internal model is built on a lifetime of experience | 0:32:05 | 0:32:09 | |
with faces that stick out. | 0:32:09 | 0:32:12 | |
When you're confronted with one that's hollow, | 0:32:12 | 0:32:15 | |
your model simply sees what it expects to see. | 0:32:15 | 0:32:18 | |
The visual cortex sends its internal expectations to the thalamus | 0:32:24 | 0:32:28 | |
and the thalamus compares those to what's coming in through the eyes. | 0:32:28 | 0:32:34 | |
The difference between the two is what the thalamus sends back | 0:32:34 | 0:32:38 | |
so the cortex can update its model. | 0:32:38 | 0:32:42 | |
Thanks to the internal model, the world out there remains stable | 0:32:49 | 0:32:54 | |
even when I'm moving. | 0:32:54 | 0:32:56 | |
Let me show you what I mean. | 0:32:59 | 0:33:00 | |
So imagine that I really love the scene behind me | 0:33:02 | 0:33:04 | |
and I want to go ahead and capture it so I can view it later. | 0:33:04 | 0:33:08 | |
So I'm going to go ahead and videotape the scene | 0:33:08 | 0:33:10 | |
and I'm checking out all the buildings... | 0:33:10 | 0:33:14 | |
OK. And now I'm going to play this back. | 0:33:14 | 0:33:17 | |
Not surprisingly, the resulting video is nauseating. | 0:33:19 | 0:33:22 | |
So why does this video look so terrible, | 0:33:25 | 0:33:27 | |
given that, when I look at the buildings, | 0:33:27 | 0:33:30 | |
my eyes are making the same jerky movements? | 0:33:30 | 0:33:33 | |
Although you're not generally aware of it, | 0:33:34 | 0:33:37 | |
your eyes move about four times a second. | 0:33:37 | 0:33:41 | |
But your internal model operates under the assumption | 0:33:41 | 0:33:44 | |
that the world outside is stable. | 0:33:44 | 0:33:47 | |
So my eyes aren't taking a video, they're simply gathering | 0:33:47 | 0:33:50 | |
bits of data to update the city that's already inside my head. | 0:33:50 | 0:33:56 | |
Having an internal model helps me make sense of my environment, | 0:33:57 | 0:34:01 | |
and that's its primary function - to navigate the world. | 0:34:01 | 0:34:05 | |
The brain doesn't bother picking up every detail, | 0:34:10 | 0:34:13 | |
just enough to get us through. | 0:34:13 | 0:34:16 | |
But it plays the trick of making us feel as though we've seen it all... | 0:34:16 | 0:34:20 | |
..as another famous experiment shows. | 0:34:23 | 0:34:26 | |
In the 1960s, | 0:34:31 | 0:34:32 | |
the Russian psychologist Paul Yarbus used this painting, | 0:34:32 | 0:34:35 | |
called The Unexpected Visitor, in an experiment. | 0:34:35 | 0:34:40 | |
He devised a way to track the eye movements of volunteers | 0:34:40 | 0:34:44 | |
who were seeing it for the first time. | 0:34:44 | 0:34:47 | |
-Hi, Jennifer. -Hello. -I'm going to ask you to put these glasses on. | 0:34:48 | 0:34:53 | |
'We're going to rerun what he did.' | 0:34:53 | 0:34:55 | |
'My volunteers have a few seconds to take in the image.' | 0:34:57 | 0:35:00 | |
Look at this painting, | 0:35:02 | 0:35:04 | |
and I want you to gather what's going on in the scene. | 0:35:04 | 0:35:08 | |
'We can watch in real time exactly where each person's eyes go.' | 0:35:08 | 0:35:13 | |
Tell me what you think is going on in this painting. | 0:35:16 | 0:35:19 | |
I think the man in the brown is the unexpected visitor. | 0:35:19 | 0:35:22 | |
'One brief look is enough for the brain to model the picture. | 0:35:22 | 0:35:26 | |
'But just how detailed is that model?' | 0:35:26 | 0:35:29 | |
-How many children were there? -Uh, there were two. | 0:35:30 | 0:35:32 | |
OK, so look back at the painting and ask that question again. | 0:35:32 | 0:35:35 | |
-Oh, quite different. -How many children are there? | 0:35:35 | 0:35:38 | |
I can see three. | 0:35:38 | 0:35:40 | |
'Everyone who'd seen the painting thought they knew what was in it. | 0:35:40 | 0:35:44 | |
'But my specific questions highlighted blanks that the brain | 0:35:44 | 0:35:48 | |
'had never filled in, because the details weren't needed.' | 0:35:48 | 0:35:52 | |
-How many paintings are on the wall in their house? -Maybe two or three? | 0:35:54 | 0:35:57 | |
OK, look back at the painting and answer that question... | 0:35:57 | 0:36:00 | |
Oh, God, there's a million! | 0:36:00 | 0:36:01 | |
-Yeah, a map and then there's... -SHE LAUGHS | 0:36:01 | 0:36:04 | |
..seven on the other wall and then one small one and the map. | 0:36:04 | 0:36:07 | |
OK, there's a ton. | 0:36:07 | 0:36:09 | |
This is not a failure of the brain. | 0:36:09 | 0:36:12 | |
It doesn't try to produce a perfect simulation of the world. | 0:36:12 | 0:36:17 | |
The internal model is a hastily drawn approximation | 0:36:17 | 0:36:20 | |
and more details are added on a need-to-know basis. | 0:36:20 | 0:36:25 | |
When you looked at the painting the first time you saw a sort of | 0:36:27 | 0:36:30 | |
rough draft of what was going on, | 0:36:30 | 0:36:32 | |
and when I asked you specific questions, you had to answer those | 0:36:32 | 0:36:36 | |
by turning your attention onto specific parts of the painting, | 0:36:36 | 0:36:39 | |
and only then did you actually see it. | 0:36:39 | 0:36:42 | |
So placing your eyes on an object is no guarantee of seeing it. | 0:36:43 | 0:36:48 | |
But there's something else we're unaware of happening | 0:36:50 | 0:36:53 | |
every time we look at any picture or person or thing. | 0:36:53 | 0:36:57 | |
Any time we look at all. | 0:36:59 | 0:37:02 | |
We might think of colour as a fundamental, | 0:37:04 | 0:37:07 | |
defining quality of the world around us. | 0:37:07 | 0:37:11 | |
After all, it's everywhere. | 0:37:11 | 0:37:14 | |
But here's the startling thing. | 0:37:14 | 0:37:17 | |
In the outside world... | 0:37:17 | 0:37:19 | |
..colour doesn't actually exist. | 0:37:21 | 0:37:24 | |
When electromagnetic radiation hits an object, | 0:37:26 | 0:37:29 | |
some of it bounces off and is captured by our eyes. | 0:37:29 | 0:37:32 | |
We can distinguish between millions of combinations of wavelengths, | 0:37:34 | 0:37:39 | |
but it's only inside our heads that any of this becomes colour. | 0:37:39 | 0:37:44 | |
Add to that the fact that the wavelengths we can detect | 0:37:46 | 0:37:50 | |
are only a small part of what's out there. | 0:37:50 | 0:37:53 | |
You experience reality as it's presented by your senses, | 0:37:57 | 0:38:01 | |
and it doesn't typically strike you that things can be very different. | 0:38:01 | 0:38:04 | |
What we've talking about so far | 0:38:06 | 0:38:08 | |
is what we call the visible spectrum of light, which is a spectrum | 0:38:08 | 0:38:12 | |
of wavelengths that runs from what we call red to violet. | 0:38:12 | 0:38:18 | |
But it turns out that this only constitutes a tiny fraction | 0:38:20 | 0:38:26 | |
of the electromagnetic spectrum. | 0:38:26 | 0:38:28 | |
In fact, less than one ten-trillionth of it. | 0:38:28 | 0:38:32 | |
So all the rest of the spectrum, including radio waves | 0:38:32 | 0:38:35 | |
and microwaves and X-rays and gamma rays, | 0:38:35 | 0:38:39 | |
all of this stuff is flowing through our bodies right now | 0:38:39 | 0:38:42 | |
and we're completely unaware of it | 0:38:42 | 0:38:45 | |
because we don't have any specialised biological receptors | 0:38:45 | 0:38:48 | |
to pick up on it. | 0:38:48 | 0:38:50 | |
So what this means is that the part of reality that we can see | 0:38:50 | 0:38:53 | |
is totally limited by our biology. | 0:38:53 | 0:38:57 | |
And this isn't just about sight. | 0:38:57 | 0:39:00 | |
All our senses are only picking up | 0:39:00 | 0:39:02 | |
a small part of the information that's out there. | 0:39:02 | 0:39:06 | |
DOG SNIFFS | 0:39:08 | 0:39:10 | |
So for a dog, he's tuned in to a whole world of scent molecules | 0:39:12 | 0:39:16 | |
that I'm not. | 0:39:16 | 0:39:17 | |
His experience of smell is as rich as my experience of vision. | 0:39:19 | 0:39:24 | |
In the blind and deaf world of the tick, | 0:39:26 | 0:39:30 | |
the important signals are temperature and body odour. | 0:39:30 | 0:39:34 | |
For cave-dwelling bats, it's all about air compression waves | 0:39:34 | 0:39:38 | |
that allow them to echolocate. | 0:39:38 | 0:39:41 | |
But no-one's having an experience of objective reality, | 0:39:44 | 0:39:47 | |
of the world that really, truly exists. | 0:39:47 | 0:39:50 | |
Instead, each creature perceives only what it has evolved to perceive. | 0:39:50 | 0:39:57 | |
And this isn't just about variation between species. | 0:39:59 | 0:40:02 | |
If we're each experiencing a personal reality, | 0:40:02 | 0:40:06 | |
constructed inside our brains, | 0:40:06 | 0:40:08 | |
how do I know that my reality is at all like yours? | 0:40:08 | 0:40:12 | |
Most of the time it seems as if we operate along the same lines, | 0:40:12 | 0:40:17 | |
as if you and I agree what a blue sky is, | 0:40:17 | 0:40:22 | |
as if the sound of a dog bark provokes the same sort of response | 0:40:22 | 0:40:26 | |
in both of us. | 0:40:26 | 0:40:27 | |
DOG BARKS | 0:40:27 | 0:40:30 | |
But there's a small group of people | 0:40:35 | 0:40:37 | |
whose perception is measurably different from ours. | 0:40:37 | 0:40:41 | |
For me, any time I see a letter or a number or think of a word | 0:40:44 | 0:40:49 | |
or say someone's name, there is a lot of colour associated with that. | 0:40:49 | 0:40:54 | |
Hannah is one of 6,000 people I've studied who have synaesthesia. | 0:40:54 | 0:40:59 | |
I study synaesthesia because it's one of the few conditions in which | 0:41:01 | 0:41:05 | |
it's clear that someone else's reality is different from mine, | 0:41:05 | 0:41:10 | |
and it makes it obvious that how we perceive the world | 0:41:10 | 0:41:13 | |
is not "one size fits all". | 0:41:13 | 0:41:15 | |
In my mind I associate each letter with its own colour. | 0:41:17 | 0:41:20 | |
So, for example, the letter A is always red, | 0:41:22 | 0:41:25 | |
B is always blue, | 0:41:25 | 0:41:27 | |
C is always orange - every time. So they never change. | 0:41:27 | 0:41:31 | |
But what's interesting is | 0:41:31 | 0:41:33 | |
when they're formed into words in different orders, | 0:41:33 | 0:41:36 | |
the configuration of the colours changes and that can be interesting. | 0:41:36 | 0:41:41 | |
So in the word "Hannah", my name, it looks a sunset. | 0:41:42 | 0:41:46 | |
It's yellow fading into red fading into kind of a clear... | 0:41:48 | 0:41:53 | |
like clouds, almost, | 0:41:53 | 0:41:54 | |
and then goes back to red and to yellow. | 0:41:54 | 0:41:57 | |
These experiences come about | 0:42:04 | 0:42:06 | |
because of the simple fact that inside the brain, | 0:42:06 | 0:42:10 | |
all sensory information is made from the same stuff - | 0:42:10 | 0:42:14 | |
electrochemical signals. | 0:42:14 | 0:42:16 | |
Synaesthesia is the result of cross-talk between sensory areas | 0:42:19 | 0:42:24 | |
of the brain. | 0:42:24 | 0:42:25 | |
Think of the blurred borders between city districts. | 0:42:27 | 0:42:30 | |
Synaesthesia shows us that even minute changes in brain wiring | 0:42:32 | 0:42:36 | |
can lead to different realities. | 0:42:36 | 0:42:39 | |
There are different kinds of synaesthesia. | 0:42:43 | 0:42:46 | |
Some people perceive weekdays to have locations in space. | 0:42:47 | 0:42:52 | |
Some taste words. | 0:42:52 | 0:42:54 | |
Others see music. | 0:42:54 | 0:42:56 | |
And every time I meet someone who has this kind of experience, | 0:42:56 | 0:43:00 | |
it's a reminder that from person to person, brain to brain, | 0:43:00 | 0:43:05 | |
our experiences of reality can be quite different. | 0:43:05 | 0:43:09 | |
For a small section of the population, | 0:43:11 | 0:43:13 | |
that difference can be extreme and terrifying. | 0:43:13 | 0:43:18 | |
We all know what it's like to have dreams at night, | 0:43:19 | 0:43:23 | |
to have bizarre, unbidden thoughts that take us on journeys, | 0:43:23 | 0:43:27 | |
sometimes journeys we suffer through. | 0:43:27 | 0:43:29 | |
When we wake up, we're lucky enough to be able to compartmentalise that, | 0:43:29 | 0:43:33 | |
to say, "OK, that was a dream and this is my waking life." | 0:43:33 | 0:43:37 | |
But just imagine what it would be like | 0:43:40 | 0:43:41 | |
if these were more and more intertwined | 0:43:41 | 0:43:43 | |
and it was more and more difficult to tell them apart from one another. | 0:43:43 | 0:43:47 | |
I felt like the houses were communicating with me. | 0:43:51 | 0:43:54 | |
"You are special, you are especially bad. | 0:43:56 | 0:43:58 | |
"Repent. Stop. Go." | 0:43:58 | 0:44:00 | |
You know, kind of... | 0:44:00 | 0:44:02 | |
I did not hear these as words, but I heard them as thoughts | 0:44:02 | 0:44:05 | |
put in my head, but I knew they were the houses' thoughts | 0:44:05 | 0:44:07 | |
and not my thoughts. | 0:44:07 | 0:44:08 | |
I think that explosions are being set off in my brain | 0:44:10 | 0:44:13 | |
and I'm afraid it's going to hurt other people, not just me. | 0:44:13 | 0:44:17 | |
I once had a fantasy that my brains were going to leak out of my ears | 0:44:17 | 0:44:20 | |
and drown people. | 0:44:20 | 0:44:21 | |
What is that? You know? | 0:44:23 | 0:44:25 | |
Elyn Saks is a professor of law | 0:44:25 | 0:44:27 | |
at the University of Southern California. | 0:44:27 | 0:44:31 | |
She's been experiencing schizophrenic episodes since she was 16 years old. | 0:44:31 | 0:44:36 | |
It's scary, it's unpredictable. | 0:44:37 | 0:44:40 | |
It's sort of interesting | 0:44:42 | 0:44:43 | |
cos there are different theories about psychotic symptoms. | 0:44:43 | 0:44:46 | |
For some people they're just random firings of neurons. | 0:44:46 | 0:44:49 | |
I do think they tell the truth about your psychic reality, | 0:44:49 | 0:44:52 | |
so when I saw I've killed hundreds of thousands of people | 0:44:52 | 0:44:54 | |
with my thoughts, that's just an archaic | 0:44:54 | 0:44:56 | |
and extreme way of saying I feel like I'm a bad person. | 0:44:56 | 0:44:58 | |
Schizophrenia is still not fully understood, | 0:45:03 | 0:45:06 | |
but it involves chemical imbalances in the brain which cause problems | 0:45:06 | 0:45:10 | |
in the sending and receiving of signals. | 0:45:10 | 0:45:14 | |
Thanks to medication and therapy, | 0:45:21 | 0:45:23 | |
Elyn has been able to lecture and teach for over 25 years. | 0:45:23 | 0:45:27 | |
So when you were at the bottom in one of your worst psychotic episodes, | 0:45:32 | 0:45:36 | |
you took that to be reality? | 0:45:36 | 0:45:37 | |
I really believe what I think is happening is happening, | 0:45:37 | 0:45:40 | |
and it's terrifying. It's like a waking nightmare - | 0:45:40 | 0:45:43 | |
confusion, bizarre images, violence, terror. | 0:45:43 | 0:45:46 | |
I wouldn't wish it on anyone. | 0:45:46 | 0:45:48 | |
That said, everybody's reality is constructed. Right? You... | 0:45:48 | 0:45:55 | |
filter it through your beliefs and values and issues, | 0:45:55 | 0:46:00 | |
and this is true for people who have mental illness | 0:46:00 | 0:46:02 | |
and for people who don't have mental illness, it's all a spectrum. | 0:46:02 | 0:46:06 | |
Reality differs from person to person. | 0:46:09 | 0:46:12 | |
More than that, it changes from moment to moment. | 0:46:15 | 0:46:18 | |
There are times in all our lives when it can seem enhanced, intensified. | 0:46:19 | 0:46:24 | |
Even the one great constant which we all think we share | 0:46:28 | 0:46:32 | |
and which should never change | 0:46:32 | 0:46:34 | |
somehow becomes stretched and distorted. | 0:46:34 | 0:46:37 | |
I'm talking about time. | 0:46:38 | 0:46:41 | |
Time is something that we rarely stop to consider. | 0:46:49 | 0:46:53 | |
But our brain's experience of time is often quite strange. | 0:46:53 | 0:46:57 | |
It doesn't always seem, in certain situations, | 0:46:57 | 0:47:00 | |
that time is running at an even pace. | 0:47:00 | 0:47:02 | |
Sometimes it runs more slowly or more quickly. | 0:47:02 | 0:47:05 | |
When I was eight years old I fell off the roof of a house about this height | 0:47:09 | 0:47:13 | |
and the fall seemed to me to take a very long time. | 0:47:13 | 0:47:17 | |
But when I got to high school, I learned physics | 0:47:22 | 0:47:24 | |
and I calculated, how long did the fall actually take? | 0:47:24 | 0:47:28 | |
And it turns out it was only 8/10ths of a second. | 0:47:28 | 0:47:32 | |
So that set me off on a quest to understand, | 0:47:32 | 0:47:34 | |
why did it seem to take so long? | 0:47:34 | 0:47:37 | |
And what did this tell me about our perception of reality? | 0:47:37 | 0:47:41 | |
Many people have reported this sensation during moments of terror. | 0:47:43 | 0:47:47 | |
Professional wingsuit flyer Jeb Corliss | 0:47:50 | 0:47:52 | |
experienced it in an extreme way. | 0:47:52 | 0:47:55 | |
-How you doing, Jeb? -Excellent. | 0:47:55 | 0:47:57 | |
And because he falls for a living, | 0:47:58 | 0:48:01 | |
the event he describes was captured on multiple cameras. | 0:48:01 | 0:48:05 | |
On this day, I decided to aim for a target. | 0:48:10 | 0:48:13 | |
Like, set up balloons and come in and hit balloons. | 0:48:13 | 0:48:16 | |
I was flying towards the balloons. | 0:48:21 | 0:48:23 | |
And as I was coming in to hit the black balloon... | 0:48:26 | 0:48:30 | |
I misjudged. | 0:48:30 | 0:48:31 | |
I impacted flat, solid granite | 0:48:38 | 0:48:42 | |
at 120mph. | 0:48:42 | 0:48:44 | |
Six seconds elapsed between the moment Jeb hit the rock | 0:48:48 | 0:48:52 | |
and the moment he pulled his ripcord. | 0:48:52 | 0:48:54 | |
He broke his leg and both ankles in the fall. | 0:48:56 | 0:49:00 | |
JEB GROANS | 0:49:01 | 0:49:03 | |
From Jeb's perspective, those six seconds seemed to last a long time. | 0:49:05 | 0:49:12 | |
You've got two options. | 0:49:15 | 0:49:17 | |
One is you can not pull, and just be dead right now. | 0:49:17 | 0:49:23 | |
It's really quick, semi-painless, over fast. | 0:49:23 | 0:49:27 | |
Or you can pull, you know, get a parachute over your head, | 0:49:27 | 0:49:32 | |
impact a second time and then bleed to death | 0:49:32 | 0:49:35 | |
while you're waiting for rescue. | 0:49:35 | 0:49:36 | |
These two separate thought processes | 0:49:38 | 0:49:41 | |
felt like minutes of time. | 0:49:41 | 0:49:43 | |
It feels like you're operating so fast that your perception | 0:49:45 | 0:49:48 | |
of everything else seems to slow down. | 0:49:48 | 0:49:50 | |
Everything just gets stretched. | 0:49:50 | 0:49:52 | |
HE GROANS | 0:49:53 | 0:49:56 | |
But what was really happening in Jeb's brain? | 0:49:56 | 0:50:00 | |
I designed an experiment to find out. | 0:50:00 | 0:50:03 | |
It depended on inducing extreme fear in people | 0:50:04 | 0:50:08 | |
by dropping them from 150 feet in the air. | 0:50:08 | 0:50:12 | |
They fell with a digital display strapped to their wrist. | 0:50:14 | 0:50:18 | |
Its numbers were changing | 0:50:18 | 0:50:19 | |
at a rate faster than human vision can normally handle. | 0:50:19 | 0:50:22 | |
If perceptual time did slow, | 0:50:24 | 0:50:27 | |
then they would be able to read the numbers. | 0:50:27 | 0:50:29 | |
But no-one could. | 0:50:29 | 0:50:31 | |
So why did Jeb recall his accident as happening in slow motion? | 0:50:33 | 0:50:37 | |
It was a time distortion on a level I've never experienced before. | 0:50:45 | 0:50:49 | |
I learned later that the rescue took about two and half hours. | 0:50:49 | 0:50:52 | |
But at the time it felt like weeks. | 0:50:52 | 0:50:55 | |
It didn't feel like... | 0:50:55 | 0:50:57 | |
minutes or hours or even days, | 0:50:57 | 0:51:00 | |
it felt like eternities. It felt like forever. | 0:51:00 | 0:51:04 | |
The answer seems to lie with how our memories are made. | 0:51:06 | 0:51:11 | |
In a critical situation, an area of the brain called the amygdala | 0:51:11 | 0:51:15 | |
kicks into high gear. | 0:51:15 | 0:51:17 | |
It commandeers the resources of the rest of the brain, | 0:51:17 | 0:51:21 | |
forcing everything to attend to the situation at hand. | 0:51:21 | 0:51:26 | |
When the amygdala is in play, | 0:51:26 | 0:51:28 | |
memories are laid down with far more detail | 0:51:28 | 0:51:31 | |
than under normal circumstances. | 0:51:31 | 0:51:33 | |
These memories are richer and more vivid. | 0:51:38 | 0:51:42 | |
If you're ever in a similar situation, you have more information | 0:51:42 | 0:51:46 | |
at your disposal to work out how to stay alive. | 0:51:46 | 0:51:51 | |
But there's a fascinating consequence. | 0:51:51 | 0:51:53 | |
When the events are replayed in your memory, | 0:51:53 | 0:51:57 | |
they appear to have taken a longer time. | 0:51:57 | 0:52:00 | |
Ow! Ow-ow-ow! | 0:52:06 | 0:52:09 | |
Jeb's time distortion is something that happened in retrospect. | 0:52:09 | 0:52:13 | |
A trick of the memory that wrote the story of his reality. | 0:52:15 | 0:52:20 | |
The brain is the universe's ultimate storyteller. | 0:52:28 | 0:52:33 | |
We believe whatever our brains serve up to us. | 0:52:33 | 0:52:36 | |
The reality we take for granted requires intensive training | 0:52:38 | 0:52:42 | |
to interpret the world. | 0:52:42 | 0:52:44 | |
It takes time to process sensory information, | 0:52:46 | 0:52:49 | |
so we live in the past. | 0:52:49 | 0:52:51 | |
And because all that information | 0:52:55 | 0:52:57 | |
is ultimately just electrochemical signals | 0:52:57 | 0:53:00 | |
to be sorted, matched, rendered and packaged, | 0:53:00 | 0:53:05 | |
reality is something created inside our head. | 0:53:05 | 0:53:09 | |
Our brain sculpts our reality using the narrow trickle of data | 0:53:15 | 0:53:19 | |
it can gather through the senses, | 0:53:19 | 0:53:21 | |
and from that trickle it tells a story about our world. | 0:53:21 | 0:53:26 | |
It's possible that every brain tells a different narrative. | 0:53:26 | 0:53:30 | |
With seven billion human brains wandering the planet... | 0:53:33 | 0:53:36 | |
..trillions of animal brains... | 0:53:39 | 0:53:41 | |
..no-one is tapped into the full picture. | 0:53:42 | 0:53:45 | |
Each brain carries its own unique model of the world around us. | 0:53:48 | 0:53:55 | |
That is what we experience. | 0:53:55 | 0:53:57 | |
We have no choice. | 0:53:58 | 0:54:00 | |
So what is reality? | 0:54:04 | 0:54:06 | |
It's whatever your brain tells you it is. | 0:54:06 | 0:54:09 | |
Next time on The Brain, I'm going to explore a fundamental question | 0:54:13 | 0:54:18 | |
about our lives. | 0:54:18 | 0:54:20 | |
What makes you...you? | 0:54:20 | 0:54:22 | |
I've spent many years of my life trying to decipher | 0:54:24 | 0:54:27 | |
the mysteries of the brain, | 0:54:27 | 0:54:29 | |
and yet I'm still in awe every time I hold one. | 0:54:29 | 0:54:33 | |
And that's because, although this marvel of biology | 0:54:33 | 0:54:36 | |
seems so alien to us, somehow, it IS us. | 0:54:36 | 0:54:42 | |
This three-pound organ is made up of hundreds of billions of cells | 0:54:43 | 0:54:47 | |
with a quadrillion connections between them. | 0:54:47 | 0:54:51 | |
These cells fire trillions of electrochemical signals | 0:54:51 | 0:54:55 | |
every second of your life. | 0:54:55 | 0:54:56 | |
Somehow all this wet biological stuff | 0:54:58 | 0:55:03 | |
results in the experience of being you. | 0:55:03 | 0:55:06 | |
What shapes who you become? | 0:55:09 | 0:55:12 | |
I'm going to explore how your life shapes your brain | 0:55:18 | 0:55:23 | |
and how your brain shapes your life. | 0:55:23 | 0:55:26 |