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This programme contains some scenes which some viewers may find upsetting | 0:00:02 | 0:00:05 | |
Over the last 100,000 years, our species has been on quite a ride. | 0:00:05 | 0:00:07 | |
We've gone from primitive hunter-gatherers | 0:00:07 | 0:00:10 | |
poking around for scraps | 0:00:10 | 0:00:13 | |
to a world-conquering, city-dwelling, | 0:00:13 | 0:00:16 | |
hyper-connected super-species, | 0:00:16 | 0:00:18 | |
and it's all thanks to the three pounds of wet biological | 0:00:18 | 0:00:22 | |
material stored up here. | 0:00:22 | 0:00:25 | |
We live surrounded by our inventions. | 0:00:25 | 0:00:29 | |
We have the means to travel, to make, | 0:00:29 | 0:00:33 | |
to communicate, to build. | 0:00:33 | 0:00:38 | |
What I find incredible is that all of this was built with | 0:00:38 | 0:00:42 | |
the same neural material that our ancestors used to hunt | 0:00:42 | 0:00:46 | |
and to build primitive tools. | 0:00:46 | 0:00:48 | |
The genius of Mother Nature and the secret to her success | 0:00:48 | 0:00:52 | |
was to build a brain that could innovate, | 0:00:52 | 0:00:56 | |
to make the journey from primitive man to this | 0:00:56 | 0:01:00 | |
in a very short amount of time. | 0:01:00 | 0:01:04 | |
I want to explore what it is about the brain | 0:01:04 | 0:01:07 | |
that's made this journey possible. | 0:01:07 | 0:01:11 | |
If we can understand how it works, | 0:01:11 | 0:01:15 | |
then maybe we can direct its power in new ways | 0:01:15 | 0:01:19 | |
and open a new chapter in the human story. | 0:01:19 | 0:01:23 | |
So what's next for our brains? | 0:01:27 | 0:01:29 | |
What do the next 1,000 years have in store for us? | 0:01:29 | 0:01:33 | |
And in the far future, what is the human race going to look like? | 0:01:33 | 0:01:37 | |
What will we be capable of? | 0:01:37 | 0:01:39 | |
This is a journey into who we might become. | 0:01:42 | 0:01:46 | |
We'll look at how we can use our brains | 0:01:47 | 0:01:50 | |
to control new kinds of bodies. | 0:01:50 | 0:01:52 | |
ROBOT HAND BUZZES | 0:01:55 | 0:01:57 | |
How our sensory experience can be expanded to new horizons. | 0:01:57 | 0:02:04 | |
We'll look at how we might one day separate our minds | 0:02:04 | 0:02:07 | |
from our physical selves - | 0:02:07 | 0:02:10 | |
even possibly overcome death. | 0:02:10 | 0:02:14 | |
The human body - it's a masterpiece of complexity and beauty. | 0:02:41 | 0:02:45 | |
It's a symphony of 40 trillion cells all operating in concert, | 0:02:45 | 0:02:51 | |
and it's all orchestrated by the three-pound organ we call the brain. | 0:02:51 | 0:02:58 | |
Sensory information floods in. | 0:02:58 | 0:03:01 | |
Decisions are made. | 0:03:01 | 0:03:03 | |
Responses are formulated. | 0:03:03 | 0:03:06 | |
The brain sends out commands and the body moves into action, | 0:03:06 | 0:03:12 | |
but what if the brain could do more - handle more? | 0:03:12 | 0:03:16 | |
What if there were other ways for it to operate? | 0:03:16 | 0:03:21 | |
We're heading for a fundamental change in the relationship | 0:03:21 | 0:03:25 | |
between the body, the brain and the outside world. | 0:03:25 | 0:03:29 | |
We're marrying our biology with our technology | 0:03:29 | 0:03:33 | |
and that's poised to transform who we will be. | 0:03:33 | 0:03:37 | |
This is all possible thanks to a special property of the brain | 0:03:40 | 0:03:44 | |
called "plasticity". | 0:03:44 | 0:03:47 | |
It's best illustrated through a remarkable story. | 0:03:47 | 0:03:51 | |
Meet Cameron Mott. | 0:03:57 | 0:04:00 | |
In this home movie, she's four years old. | 0:04:00 | 0:04:03 | |
I'm a princess girl, Daddy! | 0:04:03 | 0:04:06 | |
A princess girl! | 0:04:06 | 0:04:08 | |
I'm a princess girl. | 0:04:08 | 0:04:11 | |
One day, Cameron suddenly started having seizures. | 0:04:11 | 0:04:15 | |
SHE GROANS | 0:04:15 | 0:04:18 | |
The really big issue was that Cameron's seizures were | 0:04:18 | 0:04:21 | |
drop seizures where she would fall down to the floor very quickly | 0:04:21 | 0:04:24 | |
and they were very aggressive. | 0:04:24 | 0:04:26 | |
-Cameron... Whoopsie! -SHE SHRIEKS | 0:04:26 | 0:04:28 | |
She was diagnosed with Rasmussen syndrome, | 0:04:28 | 0:04:31 | |
an inflammatory disease that attacks the brain. | 0:04:31 | 0:04:35 | |
It causes paralysis and ultimately death. | 0:04:35 | 0:04:39 | |
To save Cameron's life, | 0:04:42 | 0:04:44 | |
her physicians proposed a radical solution. | 0:04:44 | 0:04:48 | |
They would remove the diseased part of her brain. | 0:04:48 | 0:04:51 | |
Blow harder. | 0:04:53 | 0:04:54 | |
'The procedure itself is probably the most drastic surgical procedure | 0:04:54 | 0:04:58 | |
'that can be done in neurosurgery.' | 0:04:58 | 0:05:01 | |
You know, it's not a simple operation. | 0:05:01 | 0:05:03 | |
There are... On a scale of one to ten, | 0:05:03 | 0:05:05 | |
ten being one of the more difficult operations | 0:05:05 | 0:05:07 | |
that we would typically perform in neurosurgery, | 0:05:07 | 0:05:10 | |
I'd say it's a ten. | 0:05:10 | 0:05:13 | |
Seeing no other option, Cameron's parents consented. | 0:05:13 | 0:05:18 | |
The real risk in the surgery is not | 0:05:18 | 0:05:20 | |
what happens if we do the surgery. | 0:05:20 | 0:05:22 | |
The question is, | 0:05:22 | 0:05:23 | |
what happens to this person if we don't do the surgery? | 0:05:23 | 0:05:26 | |
MACHINE BEEPS | 0:05:26 | 0:05:29 | |
The issue was that an entire half of Cameron's brain had been affected. | 0:05:30 | 0:05:37 | |
Our biggest concern was, would she survive? | 0:05:45 | 0:05:47 | |
Would there be some complication? | 0:05:47 | 0:05:50 | |
Would we go through all of this and then still have seizures at the end? | 0:05:50 | 0:05:56 | |
This is Cameron's preoperative scan. | 0:06:02 | 0:06:05 | |
This is the material that underpins her intellect and her emotion, | 0:06:05 | 0:06:10 | |
and her sense of humour - who she is. | 0:06:10 | 0:06:12 | |
In this scan, the empty space | 0:06:16 | 0:06:18 | |
is where half of her brain has been removed. | 0:06:18 | 0:06:22 | |
No-one could be sure how the loss of that much brain tissue | 0:06:22 | 0:06:26 | |
would affect Cameron. | 0:06:26 | 0:06:28 | |
What would she lose? | 0:06:28 | 0:06:30 | |
Could she be like other children? | 0:06:30 | 0:06:33 | |
This is Cameron seven years on. | 0:06:36 | 0:06:39 | |
She's seizure-free, | 0:06:39 | 0:06:43 | |
and more importantly, beyond a slight weakness on one side, | 0:06:43 | 0:06:48 | |
she betrays no sign of the ordeal that she went through. | 0:06:48 | 0:06:54 | |
I like to run a lot and do different types of stuff outside. | 0:06:54 | 0:06:59 | |
I love math. | 0:07:01 | 0:07:03 | |
Give me... Give me three quizzes to do and I'll do it. | 0:07:03 | 0:07:08 | |
OK, let it go. | 0:07:08 | 0:07:10 | |
Just imagine taking your laptop | 0:07:13 | 0:07:15 | |
and tearing out half the motherboard and expecting it to still function. | 0:07:15 | 0:07:19 | |
It would never work with a computer but it can work with a young brain, | 0:07:19 | 0:07:24 | |
and that has dramatic implications. | 0:07:24 | 0:07:28 | |
We used to think of the brain as a fixed system, with different parts | 0:07:28 | 0:07:33 | |
dedicated to specific jobs like seeing or deciding and moving, | 0:07:33 | 0:07:38 | |
but no region works in isolation. | 0:07:38 | 0:07:42 | |
The brain is a vast, dynamic, interconnected network | 0:07:42 | 0:07:46 | |
that's always changing. | 0:07:46 | 0:07:49 | |
Instead of hard-wired, I like to think of the brain as live-wired, | 0:07:49 | 0:07:55 | |
and that flexibility of the brain opens up new possibilities | 0:07:55 | 0:07:59 | |
for our future. | 0:07:59 | 0:08:01 | |
It could be argued that this future has been with us | 0:08:04 | 0:08:07 | |
since the 1970s, in the form of a simple piece of technology. | 0:08:07 | 0:08:14 | |
This is a cochlear implant and it can give hearing to deaf people. | 0:08:14 | 0:08:19 | |
MACHINE BUZZES It picks up sounds | 0:08:19 | 0:08:22 | |
and converts them to electrical signals | 0:08:22 | 0:08:24 | |
that plug directly into the cells of the inner ear. | 0:08:24 | 0:08:29 | |
Now, when it was first introduced, | 0:08:29 | 0:08:31 | |
researchers didn't think it was going to work, | 0:08:31 | 0:08:33 | |
because biology is wired up with such precision and specificity, | 0:08:33 | 0:08:38 | |
and this just takes crude signals and shoves them into the brain, | 0:08:38 | 0:08:42 | |
in a way that the brain's not expecting. | 0:08:42 | 0:08:45 | |
The cochlear implant represents a marriage between metal electrodes | 0:08:45 | 0:08:50 | |
and biological cells, and yet, it works. | 0:08:50 | 0:08:55 | |
Around the world, almost 750,000 people have had the chance to | 0:08:55 | 0:08:59 | |
hear for the first time, thanks to these implants. | 0:08:59 | 0:09:02 | |
Wow. | 0:09:04 | 0:09:07 | |
Here's how. | 0:09:07 | 0:09:09 | |
Whether it comes from your ears or your eyes | 0:09:09 | 0:09:14 | |
or a touch on your skin... | 0:09:14 | 0:09:15 | |
..all the information that enters your brain is converted into | 0:09:17 | 0:09:21 | |
the same stuff - electrochemical signals. | 0:09:21 | 0:09:25 | |
These are the common currency of the brain. | 0:09:25 | 0:09:29 | |
When the implant produces these signals, however crudely, | 0:09:30 | 0:09:34 | |
the brain finds a way to make sense of them. | 0:09:34 | 0:09:39 | |
It hunts for patterns... BUZZING AND CRACKLING | 0:09:39 | 0:09:43 | |
..cross-referencing with other senses. | 0:09:43 | 0:09:46 | |
TRAFFIC RUMBLES | 0:09:46 | 0:09:49 | |
At first, the signals are unintelligible, | 0:09:50 | 0:09:54 | |
but soon, meaning emerges. BELL RINGS | 0:09:54 | 0:09:57 | |
Cochlear implants reveal something amazing about the brain, | 0:09:59 | 0:10:03 | |
which is whatever signals you feed into it, the brain will figure out | 0:10:03 | 0:10:07 | |
how to extract something useful out of that. | 0:10:07 | 0:10:10 | |
As long as the data coming in has a structure that maps onto | 0:10:10 | 0:10:13 | |
the outside world, the brain will figure out how to decode it, | 0:10:13 | 0:10:18 | |
and this turns out to be one of nature's greatest tricks. | 0:10:18 | 0:10:22 | |
And now that we know about it, it opens up a world of possibilities. | 0:10:22 | 0:10:27 | |
Why restrict ourselves to trying to replace lost or damaged senses? | 0:10:27 | 0:10:32 | |
There must be ways for us | 0:10:32 | 0:10:34 | |
to enhance or add to the senses that we already have. | 0:10:34 | 0:10:39 | |
In my laboratory, we've created this vest. | 0:10:44 | 0:10:48 | |
It turns sound into patterns of vibration | 0:10:48 | 0:10:52 | |
that are felt on the skin of the torso. | 0:10:52 | 0:10:55 | |
'The idea is that, given enough time, | 0:10:57 | 0:11:01 | |
'the wearer's brain will learn to | 0:11:01 | 0:11:02 | |
'automatically decode these vibrations. | 0:11:02 | 0:11:06 | |
'They'll instinctively feel and understand information.' | 0:11:06 | 0:11:12 | |
This is the alien language game, so you're going to feel a word | 0:11:12 | 0:11:16 | |
presented to you as a pattern of vibration on your torso. | 0:11:16 | 0:11:19 | |
Through time, you're going to get better and better at this, | 0:11:19 | 0:11:22 | |
as your brain starts decoding how these inputs | 0:11:22 | 0:11:25 | |
map onto words that you know, | 0:11:25 | 0:11:28 | |
and your job is just to figure out what the language of the vest is. | 0:11:28 | 0:11:32 | |
I can feel the vibrations on my body. It makes no sense to me. | 0:11:32 | 0:11:36 | |
They're just random. | 0:11:36 | 0:11:37 | |
I'm aware that may be one on the left shoulder | 0:11:37 | 0:11:39 | |
or right shoulder or lower back... | 0:11:39 | 0:11:42 | |
BELL RINGS | 0:11:42 | 0:11:45 | |
One of my lab members, Joshua, wore the vest as he went about his day. | 0:11:47 | 0:11:52 | |
An app sends a pattern of vibrations to his torso. | 0:11:52 | 0:11:56 | |
He guesses what word that pattern represents | 0:11:56 | 0:12:00 | |
and he's told whether he's right or wrong. | 0:12:00 | 0:12:04 | |
'For the first week or so, I mean, it was just total nonsense, | 0:12:04 | 0:12:07 | |
'to try to figure out which word was just projected onto me, | 0:12:07 | 0:12:10 | |
'but as time has gone by, I am able to,' | 0:12:10 | 0:12:14 | |
through some process, distinguish them. | 0:12:14 | 0:12:17 | |
It seems strange that you could understand information | 0:12:17 | 0:12:20 | |
through your torso, but that's the surprise - | 0:12:20 | 0:12:24 | |
it doesn't matter how signals find their way to the brain. | 0:12:24 | 0:12:29 | |
We have these peripheral senses that we plug in, | 0:12:29 | 0:12:32 | |
but here's the thing - our eyes, our nose, our mouth - | 0:12:32 | 0:12:35 | |
these are just what we inherit from our evolutionary past. | 0:12:35 | 0:12:39 | |
It's what we come to the table with, but we don't have to stick with it, | 0:12:39 | 0:12:43 | |
because it might be possible | 0:12:43 | 0:12:44 | |
that we could plug some sensory channel into an unusual port | 0:12:44 | 0:12:49 | |
into the brain and the brain will just figure it out, | 0:12:49 | 0:12:52 | |
and it may be that, in the near future, | 0:12:52 | 0:12:55 | |
we can invent new sorts of sensory devices | 0:12:55 | 0:12:57 | |
and plug them directly into the brain. | 0:12:57 | 0:13:00 | |
In theory, there's no limit to the new sensory expansion | 0:13:00 | 0:13:04 | |
that we can create. | 0:13:04 | 0:13:06 | |
So, just imagine if we could feed in an input of real-time weather data, | 0:13:10 | 0:13:15 | |
so you could feel if it's raining 100 miles away | 0:13:15 | 0:13:19 | |
or if it's going to snow tomorrow. | 0:13:19 | 0:13:21 | |
THUNDER RUMBLES Or imagine feeding in | 0:13:24 | 0:13:28 | |
real-time stock data and developing an intuitive sense | 0:13:28 | 0:13:32 | |
of how the markets were moving. | 0:13:32 | 0:13:34 | |
You'd be plugged in to the global economy. | 0:13:34 | 0:13:37 | |
Because of the brain's capacity to take on new inputs, | 0:13:40 | 0:13:44 | |
we should be able to expand the experience of being human. | 0:13:44 | 0:13:49 | |
We could enjoy things that wouldn't be possible with | 0:13:52 | 0:13:55 | |
the traditional senses we arrive with. | 0:13:55 | 0:14:00 | |
It may be that the evolution of our technology, rather than our | 0:14:00 | 0:14:05 | |
biology, is what guides the journey of our species from here on out. | 0:14:05 | 0:14:11 | |
As we move into the future, | 0:14:11 | 0:14:13 | |
we'll increasingly design our own portals on the world | 0:14:13 | 0:14:17 | |
and, as far as we can tell, there's no limit | 0:14:17 | 0:14:19 | |
in what the brain can incorporate. | 0:14:19 | 0:14:22 | |
Instead, we now have the tools to shape our own sensory experiences - | 0:14:22 | 0:14:27 | |
to widen our small windows on reality. | 0:14:27 | 0:14:31 | |
Now, how we sense the world - that's only half the story. | 0:14:32 | 0:14:37 | |
The other half is how we interact with it. | 0:14:37 | 0:14:42 | |
What if we could use the brain's flexibility to | 0:14:42 | 0:14:46 | |
change our physical bodies? | 0:14:46 | 0:14:51 | |
This is Jan Scheuermann. | 0:14:51 | 0:14:53 | |
Because of a rare genetic disease, the spinal-cord nerves that | 0:14:53 | 0:14:57 | |
connect her brain to her muscles have deteriorated. | 0:14:57 | 0:15:03 | |
I can't move anything below my neck. | 0:15:03 | 0:15:06 | |
Though the stem of my brain meets my spinal-cord, | 0:15:06 | 0:15:09 | |
there's some deterioration there, | 0:15:09 | 0:15:12 | |
then the signals aren't getting through | 0:15:12 | 0:15:14 | |
so my brain is saying, "Lift up," to my arm, | 0:15:14 | 0:15:18 | |
and my arm is saying, "I can't hear you!" | 0:15:18 | 0:15:21 | |
Now Jan is participating in a trailblazing experiment - | 0:15:23 | 0:15:28 | |
part neurosurgery, part robotics. | 0:15:28 | 0:15:32 | |
Two electrode arrays implanted into her brain provide | 0:15:32 | 0:15:37 | |
a link from her motor cortex to this - | 0:15:37 | 0:15:40 | |
the world's most advanced robotic arm. | 0:15:40 | 0:15:44 | |
ROBOTIC ARM BUZZES AND HUMS | 0:15:44 | 0:15:47 | |
OK. Up. Down. | 0:15:47 | 0:15:50 | |
Its fingers can curl and uncurl. | 0:15:53 | 0:15:56 | |
It can roll. | 0:15:56 | 0:15:58 | |
The wrist can flex. | 0:15:58 | 0:16:00 | |
Jan can control it just by thinking about it. | 0:16:00 | 0:16:05 | |
Right... | 0:16:05 | 0:16:09 | |
and grasp. | 0:16:09 | 0:16:11 | |
Though she speaks the commands out loud, she has no need to. | 0:16:11 | 0:16:15 | |
-Back to me. -There's a direct physical link | 0:16:15 | 0:16:18 | |
between the arm and her brain. | 0:16:18 | 0:16:21 | |
Down. | 0:16:21 | 0:16:22 | |
An arm normally moves | 0:16:24 | 0:16:26 | |
because of a storm of activity in the motor cortex. | 0:16:26 | 0:16:29 | |
From there, the signals travel down the spinal-cord to | 0:16:29 | 0:16:33 | |
the muscles of the arm. | 0:16:33 | 0:16:36 | |
In Jan's case, electrodes eavesdrop on the cortical signals directly | 0:16:36 | 0:16:42 | |
and redirect those to Hector, her new arm. | 0:16:42 | 0:16:46 | |
Like riding a bicycle, | 0:16:51 | 0:16:53 | |
the brain doesn't forget how to move the arm, | 0:16:53 | 0:16:56 | |
even though it hasn't moved in ten years. | 0:16:56 | 0:16:59 | |
With practice, this relationship will become fully unconscious. | 0:17:01 | 0:17:06 | |
She'll be able to move Hector automatically | 0:17:06 | 0:17:09 | |
without thinking about it, | 0:17:09 | 0:17:11 | |
just as we do with our biological limbs. | 0:17:11 | 0:17:13 | |
Oh, it feels very good to be able to shake hands | 0:17:18 | 0:17:20 | |
and fist-bump and interact. | 0:17:20 | 0:17:24 | |
It's so very life-affirming to me, | 0:17:24 | 0:17:27 | |
to be able to reach out and touch a person. | 0:17:27 | 0:17:29 | |
Jan's experience points to a future in which | 0:17:32 | 0:17:35 | |
we use technology to enhance and extend our bodies, | 0:17:35 | 0:17:39 | |
not only replacing limbs or organs but improving them, | 0:17:39 | 0:17:44 | |
elevating them, from human fragility to indestructibility. | 0:17:44 | 0:17:50 | |
Hollywood has often imagined a person who is part machine - | 0:17:52 | 0:17:56 | |
well, that fantasy is fast becoming real. | 0:17:56 | 0:17:59 | |
ARM BUZZES | 0:17:59 | 0:18:01 | |
As we learn how to take on new sensory experiences | 0:18:12 | 0:18:15 | |
and control new kinds of bodies, | 0:18:15 | 0:18:18 | |
that's going to profoundly change who we are as individuals, | 0:18:18 | 0:18:21 | |
and that's because our physicality sets the tone | 0:18:21 | 0:18:25 | |
for how we feel and how we think, and who we are. | 0:18:25 | 0:18:28 | |
At this moment in history, it may be that we have more in common with our | 0:18:28 | 0:18:32 | |
Stone Age ancestors than we do with our descendants in the near future. | 0:18:32 | 0:18:38 | |
We're already beginning to extend the human body, but no matter how | 0:18:43 | 0:18:48 | |
much we enhance ourselves, there's something we need to keep in mind. | 0:18:48 | 0:18:51 | |
Our body is made of flesh and bones. | 0:18:51 | 0:18:54 | |
It's going to deteriorate and die, | 0:18:54 | 0:18:57 | |
but what if the study of the brain could address our mortality? | 0:18:57 | 0:19:01 | |
What if, in the future, we didn't have to die? | 0:19:01 | 0:19:04 | |
There will come a moment | 0:19:10 | 0:19:12 | |
when all of your neural activity will come to a halt | 0:19:12 | 0:19:16 | |
and then the glorious experience of being conscious will come to an end, | 0:19:16 | 0:19:21 | |
and it doesn't matter who you know or what you do, | 0:19:21 | 0:19:25 | |
it's the fate of all of us. | 0:19:25 | 0:19:27 | |
It's the fate of all life, | 0:19:27 | 0:19:29 | |
but only humans are so unusually intelligent | 0:19:29 | 0:19:33 | |
that we suffer over this. | 0:19:33 | 0:19:35 | |
'When someone dies, those who are left grieve. | 0:19:37 | 0:19:41 | |
'They mourn the lost relationship | 0:19:41 | 0:19:44 | |
'but, with every death, there's another loss. | 0:19:44 | 0:19:48 | |
'Every brain contains a lifetime of information, | 0:19:48 | 0:19:52 | |
'experiences, knowledge, wisdom. | 0:19:52 | 0:19:55 | |
'At the moment of death, all that becomes lost.' | 0:19:55 | 0:20:01 | |
Francis Crick was one of the discoverers of the structure of DNA. | 0:20:01 | 0:20:06 | |
And he was also a friend and a mentor to me. | 0:20:06 | 0:20:09 | |
And when he died, | 0:20:09 | 0:20:11 | |
I remembered thinking about what a waste it was | 0:20:11 | 0:20:13 | |
that he was cremated and this brain of one of the greats | 0:20:13 | 0:20:17 | |
of 20th-century biology was going up in flames. | 0:20:17 | 0:20:20 | |
Because, even after a person dies, there's a lot of information | 0:20:20 | 0:20:25 | |
about them stored in the physical structure of their brain. | 0:20:25 | 0:20:29 | |
And we are reaching a point in neuroscience where it becomes | 0:20:29 | 0:20:31 | |
a possibility that we could preserve a brain | 0:20:31 | 0:20:35 | |
and read out the information and live with that person again. | 0:20:35 | 0:20:39 | |
Brain preservation is a new field. | 0:20:42 | 0:20:45 | |
It's controversial and its promise is still unproven. | 0:20:45 | 0:20:49 | |
Nonetheless, some people are actively exploring the possibility. | 0:20:50 | 0:20:54 | |
Here in the Arizona desert, | 0:20:58 | 0:21:00 | |
the researchers at the Alcor Life Extension Foundation | 0:21:00 | 0:21:05 | |
believe they can give the dead a chance to live again. | 0:21:05 | 0:21:08 | |
This facility holds the remains of over 100 people | 0:21:11 | 0:21:15 | |
preserved at ultra-low temperature. | 0:21:15 | 0:21:18 | |
It's run by Max More, who describes himself as a futurologist. | 0:21:21 | 0:21:25 | |
As soon as legal death has been declared, which is really not | 0:21:28 | 0:21:31 | |
biological death, but we have to wait for that point legally, | 0:21:31 | 0:21:33 | |
we can then move the patient from the bed into the ice bath, | 0:21:33 | 0:21:36 | |
we can add external ice on top, we restart respiration... | 0:21:36 | 0:21:40 | |
we restart circulation by doing essentially mechanical CPR | 0:21:40 | 0:21:43 | |
and then we also administer 16 different medications to try | 0:21:43 | 0:21:46 | |
and protect the cells as we cool down. | 0:21:46 | 0:21:48 | |
Each body is submerged in liquid nitrogen, | 0:21:48 | 0:21:52 | |
bringing its temperature below -300 degrees. | 0:21:52 | 0:21:55 | |
This process is known as cryonic suspension | 0:21:56 | 0:21:59 | |
and it doesn't require a whole body. | 0:21:59 | 0:22:03 | |
Sometimes a client chooses to preserve only their head and brain. | 0:22:03 | 0:22:07 | |
So what we will do is we'll do the neuro separation | 0:22:07 | 0:22:10 | |
somewhere down here, a few vertebras down. | 0:22:10 | 0:22:12 | |
We'll move the patient's cephalon into the cephalon ring | 0:22:12 | 0:22:15 | |
where the head is essentially upside down | 0:22:15 | 0:22:17 | |
so we can access the carotids and, just like the whole body procedure, | 0:22:17 | 0:22:21 | |
except there we go through the chest, here we are washing out | 0:22:21 | 0:22:24 | |
the blood and body fluids from the brain. | 0:22:24 | 0:22:26 | |
The idea is to perfectly preserve a body into the distant future, | 0:22:26 | 0:22:32 | |
with the hope that an advanced technology not yet invented | 0:22:32 | 0:22:36 | |
will allow for thawing and reanimation. | 0:22:36 | 0:22:39 | |
So, Max, tell me about these dewars. | 0:22:39 | 0:22:43 | |
Well, our patients are stored in these. | 0:22:43 | 0:22:45 | |
We call this a bigfoot dewar. It contains four whole body patients. | 0:22:45 | 0:22:49 | |
So, as you can see from this 3-D printed model, | 0:22:49 | 0:22:52 | |
each of those goes in an aluminium pod that gives extra protection | 0:22:52 | 0:22:55 | |
and we also get five neuro patients in the centre column. | 0:22:55 | 0:22:59 | |
So these fill up with about 450 gallons of liquid nitrogen. | 0:22:59 | 0:23:03 | |
They're not sealed, we just have a polystyrene cap floating on the top | 0:23:03 | 0:23:07 | |
and we top these up once a week with liquid nitrogen to keep them full. | 0:23:07 | 0:23:10 | |
-So there are nine people in here? -Not in every one. | 0:23:10 | 0:23:13 | |
It depends on how many neuro patients we have. | 0:23:13 | 0:23:15 | |
There's actually room for more neuro patients. | 0:23:15 | 0:23:18 | |
So some of them have neuro patients, others don't, | 0:23:18 | 0:23:21 | |
so between four and nine. | 0:23:21 | 0:23:22 | |
Alcor began 50 years ago. | 0:23:22 | 0:23:25 | |
Currently, it houses 129 frozen residents... | 0:23:25 | 0:23:30 | |
and that number continues to grow. | 0:23:30 | 0:23:33 | |
Some of the pictures say, | 0:23:33 | 0:23:35 | |
"First Life Cycle, 1927-1996." | 0:23:35 | 0:23:39 | |
Do you see it as being a second life cycle? | 0:23:39 | 0:23:42 | |
What we're doing is we're really just giving people | 0:23:42 | 0:23:44 | |
another chance at life. Just as if today you're in your 30s or 40s, | 0:23:44 | 0:23:47 | |
had a heart attack and we did some experimental surgery | 0:23:47 | 0:23:50 | |
and brought you back, you might have several decades more. | 0:23:50 | 0:23:53 | |
But we're talking something a little bit more radical. | 0:23:53 | 0:23:55 | |
We're talking not just another 80 years, | 0:23:55 | 0:23:57 | |
but potentially thousands of years, maybe longer. | 0:23:57 | 0:24:00 | |
The people in these dewars have taken a leap of faith | 0:24:00 | 0:24:04 | |
into an unknown future. | 0:24:04 | 0:24:06 | |
There's no guarantee that the technology will ever | 0:24:06 | 0:24:09 | |
come along that allows them to wake up again. | 0:24:09 | 0:24:12 | |
So perhaps there are other ways to access the information | 0:24:15 | 0:24:19 | |
stored in a brain - | 0:24:19 | 0:24:21 | |
not by bringing a deceased person back to life, | 0:24:21 | 0:24:25 | |
but by finding a way to read out the data directly. | 0:24:25 | 0:24:28 | |
This is both a promising idea and a monumental challenge. | 0:24:29 | 0:24:34 | |
At the Department of Brain and Cognitive Sciences at MIT, | 0:24:41 | 0:24:45 | |
Sebastian Seung is among one of the first pioneers of that process. | 0:24:45 | 0:24:50 | |
He's attempting to map out the innumerable connections that | 0:24:50 | 0:24:53 | |
underlie a brain's function. | 0:24:53 | 0:24:56 | |
That unimaginably vast network of pathways | 0:24:57 | 0:25:00 | |
and links is called the connectome. | 0:25:00 | 0:25:03 | |
Your connectome is unique. | 0:25:05 | 0:25:08 | |
It's one of the deepest theories in neuroscience | 0:25:08 | 0:25:11 | |
that your memories are stored in your unique pattern of connections. | 0:25:11 | 0:25:15 | |
I like to think of it as a theory of personal identity - | 0:25:17 | 0:25:20 | |
what makes you you. | 0:25:20 | 0:25:22 | |
The average human brain has 86 billion neurons | 0:25:24 | 0:25:28 | |
and thousands of trillions of synaptic connections. | 0:25:28 | 0:25:33 | |
When the connectome is fully worked out, | 0:25:33 | 0:25:36 | |
it will be the most complex wiring diagram ever created. | 0:25:36 | 0:25:40 | |
It's very difficult to map out conductivity inside the brain. | 0:25:44 | 0:25:48 | |
There's only one technology right now which promises to give us | 0:25:48 | 0:25:52 | |
all the connections from a single piece of brain | 0:25:52 | 0:25:55 | |
and that's called serial electron microscopy. | 0:25:55 | 0:25:58 | |
Seung is beginning by mapping a mouse brain. | 0:25:59 | 0:26:02 | |
The process starts with taking a piece of brain tissue | 0:26:03 | 0:26:07 | |
and slicing it. | 0:26:07 | 0:26:09 | |
It's a hi-tech deli slicer for cutting very thin slices of brain. | 0:26:09 | 0:26:14 | |
To cut really thin, you have to have a very sharp knife. | 0:26:15 | 0:26:18 | |
This is the world's sharpest knife, a diamond knife, | 0:26:18 | 0:26:21 | |
whose blade is honed to atomic sharpness. | 0:26:21 | 0:26:24 | |
You can see a metal part which is moving up and down, | 0:26:24 | 0:26:27 | |
a piece of the brain is mounted on it | 0:26:27 | 0:26:29 | |
and the brain is being moved back and forth against a blade. | 0:26:29 | 0:26:33 | |
So slice after slice of brain are floating onto the surface | 0:26:34 | 0:26:39 | |
of the water - each slice pushes the previous slice of forward. | 0:26:39 | 0:26:43 | |
In order to see this cutting process, | 0:26:43 | 0:26:45 | |
a microscope is mounted on top of the ultra-microtome and it projects | 0:26:45 | 0:26:50 | |
an image onto this computer screen where we see the cutting happening. | 0:26:50 | 0:26:54 | |
This conveyor belt produces a tape, a very long tape, which is | 0:26:54 | 0:26:59 | |
kind of like a movie, every frame of which is a slice of brain. | 0:26:59 | 0:27:03 | |
Once the brain has been arranged in these film-like strips, | 0:27:06 | 0:27:10 | |
each sample is subdivided into tiny areas, | 0:27:10 | 0:27:13 | |
which are then scanned by a powerful electron microscope. | 0:27:13 | 0:27:17 | |
That process produces this, | 0:27:18 | 0:27:21 | |
a segment of the brain magnified 100,000 times. | 0:27:21 | 0:27:26 | |
At this resolution, it's possible to see almost every feature. | 0:27:29 | 0:27:33 | |
These small black dots are DNA inside an individual cell. | 0:27:35 | 0:27:39 | |
The next step is to compile these images. | 0:27:44 | 0:27:47 | |
By stacking them in the thousands, one on top of each other, | 0:27:48 | 0:27:52 | |
and then tracking the neurons through each image, | 0:27:52 | 0:27:56 | |
it's possible to reconstruct the exact way that the neurons | 0:27:56 | 0:27:59 | |
are connected, a three-dimensional model of the conductivity. | 0:27:59 | 0:28:04 | |
It should be possible to do this with a whole human brain someday. | 0:28:05 | 0:28:10 | |
The result would be a map of all the wiring that underpins | 0:28:10 | 0:28:14 | |
a person's thoughts, experiences and beliefs. | 0:28:14 | 0:28:18 | |
There's just one issue. | 0:28:20 | 0:28:21 | |
If you image an entire human brain with this resolution, | 0:28:23 | 0:28:27 | |
it would be a zettabyte of information. | 0:28:27 | 0:28:30 | |
Sounds like a dirty word, a zettabyte. | 0:28:31 | 0:28:34 | |
You've never heard it before, it's never spoken in polite company. | 0:28:34 | 0:28:36 | |
Well, it's the total digital content of the world right now. | 0:28:36 | 0:28:40 | |
That's...how much information it would be. | 0:28:40 | 0:28:43 | |
It's a daunting figure. | 0:28:44 | 0:28:46 | |
Does it mean that the idea of reading out a human brain | 0:28:47 | 0:28:51 | |
will always remain beyond our reach? | 0:28:51 | 0:28:54 | |
Well, experience says that computing power alone shouldn't be | 0:28:54 | 0:28:58 | |
a barrier for too much longer. | 0:28:58 | 0:29:00 | |
There is a common observation in computing called Moore's law. | 0:29:04 | 0:29:08 | |
It states that processing power doubles every two years. | 0:29:09 | 0:29:13 | |
If that doesn't sound like much, think of it this way. | 0:29:15 | 0:29:18 | |
It means that computers today are one million times more powerful | 0:29:18 | 0:29:23 | |
than they were in the 1970s. | 0:29:23 | 0:29:24 | |
Just 20 years ago, this supercomputer behind me | 0:29:30 | 0:29:34 | |
was equivalent to all the computing power on the planet. | 0:29:34 | 0:29:37 | |
20 years from now, it will probably be considered a modest force | 0:29:39 | 0:29:42 | |
of the type you might shrink down and wear on your body. | 0:29:42 | 0:29:47 | |
We're in an era now where we are developing technologies that | 0:29:47 | 0:29:51 | |
can store unimaginable amounts of data and run gargantuan simulations | 0:29:51 | 0:29:57 | |
and this is where our biology is on a crash course with our technology. | 0:29:57 | 0:30:02 | |
So let's say the time will come when computer power isn't an issue. | 0:30:04 | 0:30:09 | |
That opens up a new realm of possibility. | 0:30:09 | 0:30:12 | |
Suppose we could make a digital copy of the brain. | 0:30:13 | 0:30:18 | |
Then, not only could we read it out, we could make it run. | 0:30:18 | 0:30:22 | |
In the same way that computer software can run on different | 0:30:23 | 0:30:26 | |
hardware, it may be that the software of the mind can | 0:30:26 | 0:30:30 | |
run on other platforms. | 0:30:30 | 0:30:33 | |
In other words, what if there's nothing special | 0:30:33 | 0:30:36 | |
about the biological neurons themselves, | 0:30:36 | 0:30:39 | |
and instead it's only how they connect and interact | 0:30:39 | 0:30:42 | |
that makes a person who they are? | 0:30:42 | 0:30:44 | |
If that proved to be correct, it would follow | 0:30:44 | 0:30:47 | |
that we can exist digitally by running ourselves as a simulation. | 0:30:47 | 0:30:53 | |
And this is what is known as the computational hypothesis | 0:30:53 | 0:30:56 | |
of the brain. | 0:30:56 | 0:30:58 | |
The idea is that the wet biological gushy stuff | 0:30:58 | 0:31:01 | |
isn't the important part. | 0:31:01 | 0:31:03 | |
What matters are the computations that are running on top. | 0:31:03 | 0:31:07 | |
The idea is that the mind is not what the brain is, | 0:31:07 | 0:31:11 | |
it's what the brain does. | 0:31:11 | 0:31:13 | |
In theory, you might swap cells for circuits, oxygen for electricity. | 0:31:14 | 0:31:20 | |
The medium doesn't matter, provided all the pieces | 0:31:20 | 0:31:23 | |
and parts are connecting and interacting in the same way. | 0:31:23 | 0:31:26 | |
All your thoughts, emotions, memories, | 0:31:29 | 0:31:32 | |
your whole personality would still emerge. | 0:31:32 | 0:31:36 | |
There'd be no biological brain, | 0:31:36 | 0:31:38 | |
but there'd still be a fully functioning version of you. | 0:31:38 | 0:31:42 | |
This sounds like science fiction, | 0:31:44 | 0:31:46 | |
but a team in Switzerland has begun an exceptionally ambitious | 0:31:46 | 0:31:50 | |
project that takes the first steps down this path. | 0:31:50 | 0:31:53 | |
They're attempting to build a full working simulation of a brain. | 0:31:55 | 0:32:01 | |
It's called the Blue Brain Project. | 0:32:01 | 0:32:03 | |
Sean Hill is one of the members of the team. | 0:32:03 | 0:32:06 | |
What is the long-term goal here? | 0:32:08 | 0:32:10 | |
To deliver by 2023 a software and hardware infrastructure | 0:32:10 | 0:32:15 | |
capable of running a whole human brain simulation. | 0:32:15 | 0:32:20 | |
If we want to move towards being able to simulate an entire | 0:32:20 | 0:32:24 | |
human brain, how do we know what are the important things to capture, | 0:32:24 | 0:32:27 | |
the structure of the cells all the way down to the proteins, | 0:32:27 | 0:32:30 | |
the molecules, how do we know? | 0:32:30 | 0:32:31 | |
We're working at sub-cellular, we're working at cellular, | 0:32:31 | 0:32:34 | |
we're working at micro circuit, | 0:32:34 | 0:32:36 | |
we're working at brain regions, the meso circuits, | 0:32:36 | 0:32:40 | |
and then we have whole brain but for very simplified neurons. | 0:32:40 | 0:32:44 | |
So our goal is to get to whole brain | 0:32:44 | 0:32:46 | |
but with the very detailed neurons. | 0:32:46 | 0:32:48 | |
As a starting point, they're looking at rat brains. | 0:32:48 | 0:32:51 | |
They take tiny slices of brain and subject them | 0:32:51 | 0:32:55 | |
to minute jolts of electrical current. | 0:32:55 | 0:32:58 | |
That mimics the activity of the living brain | 0:32:58 | 0:33:00 | |
and prompts the cells to interact. | 0:33:00 | 0:33:04 | |
Each interaction is recreated on the project's supercomputer | 0:33:04 | 0:33:07 | |
and then integrated into a larger model with | 0:33:07 | 0:33:10 | |
data from hundreds of other labs around the world. | 0:33:10 | 0:33:14 | |
The result is this electrical storm. | 0:33:14 | 0:33:17 | |
This is the best approximation of what a very tiny fraction | 0:33:20 | 0:33:24 | |
of your brain is doing when you're, say, just staring into space. | 0:33:24 | 0:33:29 | |
The total activity in your brain is hundreds of millions times | 0:33:30 | 0:33:34 | |
more than what you're seeing here. | 0:33:34 | 0:33:36 | |
And this typhoon of activity | 0:33:37 | 0:33:39 | |
is roaring along every second of your life. | 0:33:39 | 0:33:43 | |
We're not building abstract models. | 0:33:44 | 0:33:45 | |
We're actually taking data from laboratories, | 0:33:45 | 0:33:48 | |
we're extracting probabilities, we're extracting distributions | 0:33:48 | 0:33:51 | |
from that to build a much larger model | 0:33:51 | 0:33:54 | |
that is based on biological data. | 0:33:54 | 0:33:56 | |
Not based on the assumption of how biology works, | 0:33:56 | 0:33:58 | |
but actually on data that comes out of a bio laboratory. | 0:33:58 | 0:34:02 | |
The Blue Brain Team hopes to achieve their goal by 2023 - | 0:34:05 | 0:34:09 | |
a full working simulation of a human brain. | 0:34:09 | 0:34:12 | |
And that raises a question. | 0:34:14 | 0:34:16 | |
What will the finished product be? | 0:34:16 | 0:34:18 | |
Will it be a mind? Will it think, will it be self-aware? | 0:34:18 | 0:34:22 | |
If the answer is yes and a mind can live in a computer, | 0:34:25 | 0:34:29 | |
then do we have to copy nature's biological blueprints | 0:34:29 | 0:34:34 | |
or might it be possible to program a different kind of intelligence, | 0:34:34 | 0:34:39 | |
one of our own invention? | 0:34:39 | 0:34:41 | |
People have been trying for a long time to create machines that think. | 0:34:49 | 0:34:53 | |
This field, called artificial intelligence, has been | 0:34:53 | 0:34:56 | |
around since at least the 1950s. | 0:34:56 | 0:34:58 | |
The problem has turned out to be unexpectedly difficult, | 0:35:00 | 0:35:04 | |
and this speaks to the extraordinary enigma of | 0:35:04 | 0:35:07 | |
how the brain does what it does. | 0:35:07 | 0:35:10 | |
Because while we'll soon have cars that drive themselves | 0:35:13 | 0:35:16 | |
and it's almost two decades since a computer first beat | 0:35:16 | 0:35:20 | |
a chess grandmaster, | 0:35:20 | 0:35:23 | |
the goal of a truly sentient machine still waits to be achieved. | 0:35:23 | 0:35:28 | |
One of the latest attempts to create an artificial intelligence | 0:35:32 | 0:35:36 | |
can be found at the University of Plymouth in England. | 0:35:36 | 0:35:39 | |
It's called iCub. | 0:35:41 | 0:35:44 | |
It's a humanoid robot and it's designed to learn as a child learns. | 0:35:44 | 0:35:49 | |
Traditionally, robots are pre-programmed with everything | 0:35:50 | 0:35:53 | |
they need to know. | 0:35:53 | 0:35:55 | |
But what if you could create a robot by developing it | 0:35:55 | 0:35:59 | |
the way a human infant grows? | 0:35:59 | 0:36:01 | |
ICub is about the size of a two-year-old. | 0:36:01 | 0:36:04 | |
It has eyes and ears and touch sensors | 0:36:04 | 0:36:07 | |
and these allow it to interact with the world and learn from it. | 0:36:07 | 0:36:11 | |
Babies don't come into the world knowing how to speak and walk, | 0:36:12 | 0:36:16 | |
but they come with curiosity and they pay attention and they imitate. | 0:36:16 | 0:36:21 | |
They use the world that they're in as a textbook | 0:36:21 | 0:36:24 | |
so they can learn by example. | 0:36:24 | 0:36:26 | |
So what if you wanted to create a robot to do the same thing? | 0:36:26 | 0:36:30 | |
Well, you would take a crude brain simulation and you'd give it | 0:36:30 | 0:36:34 | |
a mechanical body so that it could interact with the world. | 0:36:34 | 0:36:38 | |
-Hello. -Hello, I'm iCub. | 0:36:41 | 0:36:44 | |
This is a red ball. | 0:36:45 | 0:36:48 | |
It's a red ball. | 0:36:48 | 0:36:50 | |
This is a yellow cup. | 0:36:50 | 0:36:52 | |
Yellow cup. | 0:36:52 | 0:36:53 | |
The aim is that, with each interaction, | 0:36:55 | 0:36:58 | |
the robot continually adds to its base of knowledge. | 0:36:58 | 0:37:01 | |
It's making connections | 0:37:01 | 0:37:03 | |
and building a repertoire of appropriate responses. | 0:37:03 | 0:37:07 | |
And, because it looks and sounds a bit like a human, | 0:37:07 | 0:37:10 | |
it's easy to be convinced that it thinks like one. | 0:37:10 | 0:37:14 | |
Where is the yellow cup? | 0:37:14 | 0:37:16 | |
Where is the red ball? | 0:37:22 | 0:37:24 | |
Often, iCub gets it wrong - that's part of the process. | 0:37:28 | 0:37:32 | |
-What is this? -I'm sorry, I don't know what this is. | 0:37:32 | 0:37:36 | |
But the more it gets it wrong, | 0:37:39 | 0:37:41 | |
the more you get the sense there's no real mind behind the program. | 0:37:41 | 0:37:46 | |
What is this? | 0:37:48 | 0:37:50 | |
I'm sorry, I don't know what this is. | 0:37:50 | 0:37:52 | |
What becomes clear is that iCub is purely mechanical. | 0:37:54 | 0:37:58 | |
You can feel that it's run by lines of code, | 0:37:59 | 0:38:02 | |
instead of trains of thought. | 0:38:02 | 0:38:05 | |
So, it can say "red ball", | 0:38:05 | 0:38:07 | |
but does it really experience redness or the concept of roundness? | 0:38:07 | 0:38:13 | |
Do computers do just what they're programmed to do, | 0:38:13 | 0:38:15 | |
or can it ever really have internal experience? | 0:38:15 | 0:38:21 | |
In the 1980s, the philosopher John Searle was chewing on this problem, | 0:38:24 | 0:38:28 | |
and he came up with a thought experiment | 0:38:28 | 0:38:31 | |
that gets right at the heart of it, and he called this the Chinese Room. | 0:38:31 | 0:38:35 | |
'The experiment goes like this. | 0:38:37 | 0:38:40 | |
'I am locked in a room. | 0:38:40 | 0:38:42 | |
'Outside, there is someone who only communicates in Chinese. | 0:38:42 | 0:38:46 | |
'She writes out some questions, | 0:38:47 | 0:38:50 | |
'and then posts those to me in the room.' | 0:38:50 | 0:38:53 | |
Now, I don't speak Chinese. | 0:38:53 | 0:38:56 | |
But I do have these books. And they give me instructions | 0:38:56 | 0:38:59 | |
on exactly what to do with these symbols. | 0:38:59 | 0:39:02 | |
So, I look in the book and, if I can find a match to the symbols, | 0:39:02 | 0:39:07 | |
then the book tells me exactly how to respond. | 0:39:07 | 0:39:10 | |
So, I can look up this response. | 0:39:10 | 0:39:12 | |
That matches, so, now, | 0:39:15 | 0:39:17 | |
I can post this as the reply to the message I received. | 0:39:17 | 0:39:21 | |
'When our Chinese speaker receives the message, | 0:39:22 | 0:39:25 | |
'it makes perfect sense to her. | 0:39:25 | 0:39:27 | |
'As far as she's concerned, | 0:39:36 | 0:39:38 | |
'we're having a conversation in her language.' | 0:39:38 | 0:39:41 | |
Just by following a set of instructions, | 0:39:42 | 0:39:44 | |
I can convince somebody on the outside that I speak Chinese. | 0:39:44 | 0:39:49 | |
And, if I have a large enough set of response books, | 0:39:49 | 0:39:52 | |
I can have a conversation about anything. | 0:39:52 | 0:39:55 | |
But, here's the important part. | 0:39:55 | 0:39:57 | |
I, the operator, do not understand Chinese. | 0:39:57 | 0:40:02 | |
I can manipulate symbols all day long. | 0:40:02 | 0:40:04 | |
But none of it has any meaning to me. | 0:40:04 | 0:40:08 | |
'The argument goes that this is just what happens inside a computer. | 0:40:08 | 0:40:14 | |
'No matter how sentient it seems, | 0:40:14 | 0:40:17 | |
'the computer is only ever following instructions. | 0:40:17 | 0:40:21 | |
'Manipulating symbols.' | 0:40:21 | 0:40:24 | |
Now, not everybody agrees with this interpretation of the Chinese Room. | 0:40:27 | 0:40:30 | |
Some people point out that, | 0:40:30 | 0:40:32 | |
although the operator doesn't understand Chinese, | 0:40:32 | 0:40:35 | |
the system as a whole, the operator plus the books, | 0:40:35 | 0:40:39 | |
does understand Chinese. | 0:40:39 | 0:40:41 | |
Whatever the correct interpretation, the important thing is this. | 0:40:41 | 0:40:44 | |
It exposes the difficulty and the mystery | 0:40:44 | 0:40:48 | |
of how physical pieces and parts ever come to equal | 0:40:48 | 0:40:53 | |
our experience of being alive in the world. | 0:40:53 | 0:40:57 | |
With every attempt to simulate or create subjective experience, | 0:40:57 | 0:41:03 | |
we are confronted with one of the greatest mysteries of neuroscience. | 0:41:03 | 0:41:07 | |
Every brain cell is just a cell. | 0:41:07 | 0:41:11 | |
Running its basic operations, following its local rules, | 0:41:13 | 0:41:17 | |
how do billions of these add up to the feeling of me? | 0:41:17 | 0:41:23 | |
'If we want to see how simple parts can give rise to something bigger, | 0:41:28 | 0:41:34 | |
'one can look to the natural world.' | 0:41:34 | 0:41:38 | |
The Houston Zoo is home to a large colony of leafcutter ants. | 0:41:38 | 0:41:44 | |
Individually, each ant behaves simplistically. | 0:41:44 | 0:41:48 | |
But, when these ants work together, the colony is like a super organism | 0:41:48 | 0:41:53 | |
that accomplishes something much greater. | 0:41:53 | 0:41:56 | |
All of these ants have a different job. | 0:41:57 | 0:42:00 | |
There are some that are really, really good at just cutting leaves. | 0:42:00 | 0:42:03 | |
Others that are good at carrying leaves. | 0:42:03 | 0:42:05 | |
And then others that do other functions within the group. | 0:42:05 | 0:42:07 | |
They're independent, but they all work towards a common cause. | 0:42:07 | 0:42:12 | |
So, they are all coming out, doing what their job is to do, | 0:42:12 | 0:42:17 | |
for the good of the whole colony. | 0:42:17 | 0:42:20 | |
So, do these ants communicate by chemical signalling? | 0:42:20 | 0:42:22 | |
Yes, they do. Whenever they find something that is | 0:42:22 | 0:42:25 | |
a great leaf for them to cut, or fruit or vegetables, | 0:42:25 | 0:42:29 | |
when one ant goes and finds that, they will relay that signal, | 0:42:29 | 0:42:33 | |
and then the rest will just follow. | 0:42:33 | 0:42:35 | |
It becomes a very straight line, instead of them branching out, | 0:42:35 | 0:42:37 | |
going different directions, to get to the same thing. | 0:42:37 | 0:42:40 | |
They all follow the chemical signal. | 0:42:40 | 0:42:42 | |
So, what happens if one of these ants is just off by himself? | 0:42:42 | 0:42:46 | |
If we were to get this guy, this is a bigger ant here. | 0:42:46 | 0:42:49 | |
-Yeah, poor guy, he's just running... -Going around in circles. | 0:42:49 | 0:42:52 | |
..and spinning in circles, yeah. | 0:42:52 | 0:42:54 | |
He's not getting that signal, that chemical signal back | 0:42:56 | 0:42:59 | |
that you are going in the right directions. | 0:42:59 | 0:43:03 | |
This ant can't function outside the network of local signals | 0:43:03 | 0:43:07 | |
because he needs those to tell him what to do. | 0:43:07 | 0:43:11 | |
Put him back into the network | 0:43:11 | 0:43:13 | |
and he does just what's needed to serve the greater purpose. | 0:43:13 | 0:43:16 | |
The scout ants only worry about where to find the best plants. | 0:43:18 | 0:43:22 | |
The leafcutters do the cutting. | 0:43:22 | 0:43:26 | |
The carriers know which parts to bring back to the nest. | 0:43:26 | 0:43:29 | |
And there, inside, other ants build, tend, harvest, mate. | 0:43:30 | 0:43:37 | |
It's an entire system regulated by local signalling between them. | 0:43:37 | 0:43:42 | |
In all of this, no one ant sees the big picture | 0:43:42 | 0:43:47 | |
about the agricultural society they have created. | 0:43:47 | 0:43:50 | |
And it doesn't matter. | 0:43:50 | 0:43:52 | |
The power of the colony emerges | 0:43:52 | 0:43:55 | |
from the local interactions between the ants. | 0:43:55 | 0:43:59 | |
Put enough ants together and, bang, you get a super organism | 0:43:59 | 0:44:02 | |
with sophisticated properties that don't belong to any of the parts. | 0:44:02 | 0:44:06 | |
And this is the concept of emergent properties. | 0:44:06 | 0:44:10 | |
Put enough simple units together, | 0:44:10 | 0:44:13 | |
and have them interact in the right ways, and something larger emerges. | 0:44:13 | 0:44:18 | |
The idea is that something like this happens in the brain. | 0:44:21 | 0:44:25 | |
A neuron has certain properties. | 0:44:25 | 0:44:27 | |
It can gather chemical and electrical signals, | 0:44:27 | 0:44:30 | |
and spit out signals to other neurons. | 0:44:30 | 0:44:33 | |
But, fundamentally, it's a cell, | 0:44:33 | 0:44:36 | |
like trillions of others in the human body. | 0:44:36 | 0:44:39 | |
It spends its life embedded in a network of other cells | 0:44:39 | 0:44:43 | |
and, whatever its function, all it does is react to local signals. | 0:44:43 | 0:44:49 | |
Just like the ant, | 0:44:49 | 0:44:51 | |
a brain cell spends its life running its local programmes. | 0:44:51 | 0:44:55 | |
But, get enough brain cells together, | 0:44:55 | 0:44:57 | |
interacting in the right ways, and the mind emerges. | 0:44:57 | 0:45:02 | |
The concept of emergent properties offers a possible way to understand | 0:45:04 | 0:45:09 | |
how the vast neural populations of the brain | 0:45:09 | 0:45:12 | |
might produce consciousness. | 0:45:12 | 0:45:15 | |
And it gives rise to a question. | 0:45:15 | 0:45:18 | |
Could consciousness emerge | 0:45:18 | 0:45:20 | |
from anything that has lots of interacting parts? | 0:45:20 | 0:45:24 | |
Could a city be conscious? | 0:45:24 | 0:45:26 | |
Or maybe it's not enough to have lots of simple pieces interacting. | 0:45:29 | 0:45:32 | |
Maybe the parts need to interact in very specific ways. | 0:45:32 | 0:45:38 | |
If that's true, then we might expect to find particular signatures | 0:45:40 | 0:45:44 | |
of activity in networks that are conscious. | 0:45:44 | 0:45:48 | |
At the University Of Wisconsin, | 0:45:52 | 0:45:55 | |
Giulio Tononi and his team are hunting for those signatures. | 0:45:55 | 0:45:58 | |
They're focusing on the transition to consciousness | 0:46:00 | 0:46:03 | |
that happens in the brain every single day when we wake up. | 0:46:03 | 0:46:08 | |
When you wake up in the morning, from a dreamless sleep, | 0:46:11 | 0:46:15 | |
before, there was absolutely nothing, and then you are awake | 0:46:15 | 0:46:19 | |
and, in the space of a few seconds, there is everything. | 0:46:19 | 0:46:22 | |
Colours, sounds, people, thoughts, desires, plans for the day. | 0:46:24 | 0:46:29 | |
And, of course, the world around you. | 0:46:29 | 0:46:32 | |
That is consciousness. | 0:46:33 | 0:46:35 | |
Tononi's experiments use TMS, transcranial magnetic stimulation, | 0:46:37 | 0:46:42 | |
to make small, targeted disruptions in brain activity. | 0:46:42 | 0:46:47 | |
And they can do this while a person is awake, or asleep. | 0:46:48 | 0:46:52 | |
In the awake brain, | 0:46:53 | 0:46:55 | |
an electrical pulse moves outwards across the cortex, | 0:46:55 | 0:46:58 | |
like ripples on a pond. | 0:46:58 | 0:47:00 | |
But, in the sleeping brain, only nearby areas react. | 0:47:01 | 0:47:06 | |
The ripples hardly spread. | 0:47:06 | 0:47:08 | |
When you fall into a dreamless sleep, | 0:47:11 | 0:47:14 | |
somehow, the neurons are not able to talk to each other. | 0:47:14 | 0:47:18 | |
What we activate with TMS remains very local, | 0:47:18 | 0:47:21 | |
it remains there, it doesn't travel any more. | 0:47:21 | 0:47:24 | |
That spread of activity across the waking brain | 0:47:24 | 0:47:28 | |
may be a clue to consciousness. | 0:47:28 | 0:47:30 | |
While different regions of the brain are invested in different tasks, | 0:47:30 | 0:47:34 | |
consciousness seems to have something to do with | 0:47:34 | 0:47:38 | |
integrating activity across vast brain territories, | 0:47:38 | 0:47:42 | |
linking areas to produce a single, unified experience. | 0:47:42 | 0:47:46 | |
You don't have an experience split in two pieces. | 0:47:48 | 0:47:51 | |
When I see your shirt, | 0:47:51 | 0:47:53 | |
I don't see a shape and the colour separated from each other. | 0:47:53 | 0:47:56 | |
They are together, they are bound together. | 0:47:56 | 0:47:58 | |
So, every experience is one. | 0:47:58 | 0:48:00 | |
'Every moment of experience is a composite | 0:48:02 | 0:48:05 | |
'created from innumerable possibilities. | 0:48:05 | 0:48:09 | |
'I might be feeling the heat of the day. | 0:48:09 | 0:48:12 | |
'I might be remembering an event from high school. | 0:48:12 | 0:48:14 | |
'My stomach might be digesting lunch. I'm also seeing, I'm hearing. | 0:48:14 | 0:48:20 | |
'My brain will create my sense of self | 0:48:20 | 0:48:23 | |
'from all these different strands. | 0:48:23 | 0:48:26 | |
'How the strands are woven together is still a mystery.' | 0:48:26 | 0:48:29 | |
But Tononi believes that the key to consciousness | 0:48:29 | 0:48:32 | |
is contained in these patterns of interaction. | 0:48:32 | 0:48:36 | |
He also believes that this key | 0:48:36 | 0:48:39 | |
doesn't have to belong only to biological creatures. | 0:48:39 | 0:48:43 | |
That definitely is how it evolved. | 0:48:43 | 0:48:45 | |
And it takes an organisation of that kind to do it. | 0:48:45 | 0:48:49 | |
It just needs to be made the right way. | 0:48:49 | 0:48:52 | |
Building consciousness on another medium | 0:49:00 | 0:49:03 | |
is still squarely in the realm of speculation. | 0:49:03 | 0:49:06 | |
It could turn out that there is something special about neurons | 0:49:08 | 0:49:11 | |
so that only a biological brain could produce consciousness. | 0:49:11 | 0:49:16 | |
Nonetheless, this idea offers us a glimpse of one possible future. | 0:49:17 | 0:49:23 | |
With powerful enough computers | 0:49:25 | 0:49:27 | |
simulating all the interactions of a human brain, | 0:49:27 | 0:49:30 | |
we could, one day, become non-biological beings. | 0:49:30 | 0:49:34 | |
And that would be the greatest leap in the history of our species. | 0:49:34 | 0:49:38 | |
We could leave these bodies behind. | 0:49:38 | 0:49:41 | |
'Digitally, you could live whatever life you wanted, | 0:49:44 | 0:49:48 | |
'wherever you wanted, with a kind of immortality on offer.' | 0:49:48 | 0:49:52 | |
While the stars are far beyond the reach of | 0:49:53 | 0:49:56 | |
any flesh-and-blood human lifespan, | 0:49:56 | 0:49:58 | |
you could be uploaded, and sent off to experience other solar systems. | 0:49:58 | 0:50:05 | |
Or, you could enter an existence in a simulated world. | 0:50:07 | 0:50:11 | |
One in which you flew. | 0:50:13 | 0:50:15 | |
Or lived underwater. | 0:50:18 | 0:50:20 | |
Or lived a life of luxury. | 0:50:21 | 0:50:24 | |
Maybe you could journey into a reconstructed version of the past. | 0:50:26 | 0:50:31 | |
When we imagine simulated life, the choices are endless. | 0:50:34 | 0:50:39 | |
'And they include a strange possibility | 0:50:39 | 0:50:41 | |
'that what we're talking about | 0:50:41 | 0:50:44 | |
'is something that's happening already, right now.' | 0:50:44 | 0:50:48 | |
The simulation could look something like this. | 0:50:48 | 0:50:51 | |
And it could be that we're already in it. | 0:50:51 | 0:50:54 | |
'Now, that idea might seem preposterous. | 0:50:56 | 0:50:59 | |
'But it's surprisingly difficult to disprove.' | 0:51:00 | 0:51:03 | |
It seems hard to imagine that all of this could be a simulation. | 0:51:05 | 0:51:08 | |
But we already know how easily we can be fooled. | 0:51:08 | 0:51:12 | |
Every night when you go to sleep, you have bizarre dreams. | 0:51:12 | 0:51:15 | |
And, when you're there, you believe those worlds entirely. | 0:51:15 | 0:51:20 | |
The fact that you can be so fooled by your dreams | 0:51:21 | 0:51:25 | |
is sufficient reason to question what you are experiencing right now. | 0:51:25 | 0:51:29 | |
The philosopher Rene Descartes wondered, | 0:51:31 | 0:51:34 | |
how can we ever know whether what we're experiencing is reality? | 0:51:34 | 0:51:39 | |
He said, how do I know I'm not just a brain in a vat | 0:51:39 | 0:51:42 | |
that's being stimulated in just the right ways so that I believe that | 0:51:42 | 0:51:47 | |
I am touching the ground, and seeing people, and hearing their voices? | 0:51:47 | 0:51:51 | |
And he realised there's no way to know. | 0:51:51 | 0:51:54 | |
'But he realised something else, that there is some "me" | 0:51:54 | 0:51:58 | |
'at the centre of all this, trying to figure this out.' | 0:51:58 | 0:52:01 | |
So, even if I am a brain in a simulation, I am thinking about it. | 0:52:03 | 0:52:08 | |
And, therefore, I am. | 0:52:08 | 0:52:11 | |
Over the course of this series, | 0:52:22 | 0:52:24 | |
we've discovered just how complex and remarkable the human brain is. | 0:52:24 | 0:52:29 | |
How reality is something constructed inside our heads. | 0:52:31 | 0:52:35 | |
How we are built to need others. | 0:52:37 | 0:52:40 | |
How so much of who we are, and what we choose to do, | 0:52:41 | 0:52:45 | |
is governed by factors outside our conscious minds. | 0:52:45 | 0:52:50 | |
Now, it seems to me that we stand at a major turning point, | 0:52:54 | 0:52:58 | |
one where we might take control of our own development. | 0:52:58 | 0:53:02 | |
We face a future of unchartered possibilities... | 0:53:04 | 0:53:08 | |
..in which our relationship with our own body, | 0:53:09 | 0:53:12 | |
our relationship with the world, | 0:53:12 | 0:53:16 | |
the very basic nature of who we are, | 0:53:16 | 0:53:20 | |
is set to be transformed. | 0:53:20 | 0:53:23 | |
For thousands of generations, | 0:53:24 | 0:53:26 | |
humans have lived the same life cycle over and over. | 0:53:26 | 0:53:30 | |
We're born, we control a fragile body, | 0:53:30 | 0:53:33 | |
we experience a limited reality, and we die. | 0:53:33 | 0:53:38 | |
But science and technology are giving us tools | 0:53:38 | 0:53:41 | |
to transcend that evolutionary story. | 0:53:41 | 0:53:44 | |
Our brains don't have to remain as we've inherited them. | 0:53:44 | 0:53:48 | |
We're capable of extending our reality, of inhabiting new bodies, | 0:53:48 | 0:53:54 | |
and possibly shedding our physical forms altogether. | 0:53:54 | 0:53:58 | |
Our species is just at the beginning of something, | 0:53:58 | 0:54:01 | |
and we're discovering the tools to shape our own destiny. | 0:54:01 | 0:54:05 | |
Who we become is up to us. | 0:54:05 | 0:54:08 |