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In 2013, | 0:00:02 | 0:00:03 | |
a Russian internet millionaire funded a conference in New York | 0:00:03 | 0:00:07 | |
with an extraordinary aim - | 0:00:07 | 0:00:10 | |
to see if a system could be created | 0:00:10 | 0:00:12 | |
that would allow him to live for ever. | 0:00:12 | 0:00:15 | |
If there is no immortality technology, | 0:00:15 | 0:00:18 | |
I'll be dead in the next 35 years. | 0:00:18 | 0:00:21 | |
Top neuroscientists, | 0:00:23 | 0:00:25 | |
robot builders and researchers were invited. | 0:00:25 | 0:00:29 | |
How long you live really does matter. | 0:00:29 | 0:00:31 | |
How could you increase what we're able to do? | 0:00:32 | 0:00:36 | |
-Konichiwa. -Konichiwa. | 0:00:39 | 0:00:41 | |
The ambition was to unlock the human brain, | 0:00:41 | 0:00:46 | |
extract the mind | 0:00:46 | 0:00:48 | |
and upload it to a computer. | 0:00:48 | 0:00:50 | |
The ultimate goal of my plan | 0:00:50 | 0:00:53 | |
is to transfer someone's personality | 0:00:53 | 0:00:56 | |
into a completely new body. | 0:00:56 | 0:00:59 | |
It is possible to preserve memory and personality, | 0:00:59 | 0:01:03 | |
for thousands of years, in storage. | 0:01:03 | 0:01:06 | |
Look at that cerebellum right there. Isn't that neat? | 0:01:06 | 0:01:09 | |
Frozen in time. | 0:01:09 | 0:01:10 | |
Meet the immortalist. | 0:01:10 | 0:01:12 | |
My name is Dmitry Itskov. | 0:01:12 | 0:01:15 | |
Within the next 30 years, | 0:01:15 | 0:01:17 | |
I am going to make sure that we can all live for ever. | 0:01:17 | 0:01:19 | |
It's too stupid. | 0:01:20 | 0:01:22 | |
It simply cannot be done. | 0:01:22 | 0:01:23 | |
A waste of time, | 0:01:23 | 0:01:25 | |
a waste of money, | 0:01:25 | 0:01:27 | |
and it's a waste of our humanity. | 0:01:27 | 0:01:29 | |
As our ability to connect brains to technology grows, | 0:01:29 | 0:01:33 | |
is it so crazy to think we could live for ever in machines? | 0:01:33 | 0:01:37 | |
I am 100% confident it will happen... | 0:01:39 | 0:01:42 | |
..otherwise I wouldn't have started it. | 0:01:44 | 0:01:46 | |
Trying to make the impossible possible starts in the imagination. | 0:01:59 | 0:02:03 | |
My biggest dream when I grew up was to be a cosmonaut - | 0:02:06 | 0:02:11 | |
to fly into outer space | 0:02:11 | 0:02:14 | |
and to explore new planets. | 0:02:14 | 0:02:16 | |
That sort of dream has always been with me. | 0:02:16 | 0:02:19 | |
There was an interesting book | 0:02:19 | 0:02:20 | |
and the main hero took some immortality pill, | 0:02:20 | 0:02:23 | |
and he ended up flying on the orbit of Earth. | 0:02:23 | 0:02:26 | |
I remember myself questioning what I was going to do if I'm immortal. | 0:02:26 | 0:02:31 | |
When he grew up, Dmitry Itskov became an internet mogul. | 0:02:31 | 0:02:35 | |
He says he now spends part of his fortune | 0:02:35 | 0:02:37 | |
trying to bring about immortality. | 0:02:37 | 0:02:40 | |
Not everything can be disclosed at the moment but, yes, | 0:02:40 | 0:02:44 | |
I have been funding this science with my own money. | 0:02:44 | 0:02:47 | |
We are talking about millions of dollars. | 0:02:47 | 0:02:49 | |
Dmitry is one of a growing number of the mega-rich | 0:02:49 | 0:02:52 | |
who are funding their own scientific projects. | 0:02:52 | 0:02:55 | |
He is fascinated by signs of a coming world. | 0:03:02 | 0:03:05 | |
Osaka, Japan - | 0:03:09 | 0:03:11 | |
where technology is changing what it is to be alive... | 0:03:11 | 0:03:16 | |
and what it is to die. | 0:03:16 | 0:03:18 | |
Where science fiction is being made real. | 0:03:21 | 0:03:24 | |
The descending scientist | 0:03:30 | 0:03:32 | |
is a builder of robots that look like us... | 0:03:32 | 0:03:35 | |
..and a thinker of seemingly impossible thoughts. | 0:03:37 | 0:03:41 | |
Prof Hiroshi Ishiguro went to Dmitry's conference in 2013. | 0:04:10 | 0:04:15 | |
His ambition is to make his machines | 0:04:19 | 0:04:21 | |
as human-like as possible. | 0:04:21 | 0:04:23 | |
Hiroshi's latest creation eclipses all his others. | 0:04:56 | 0:05:00 | |
This is Erica. | 0:05:01 | 0:05:03 | |
Konichiwa! | 0:05:06 | 0:05:08 | |
Konichiwa! | 0:05:08 | 0:05:09 | |
TRANSLATION: | 0:05:09 | 0:05:11 | |
Ishiguro. | 0:05:15 | 0:05:17 | |
Erica is powered by artificial intelligence - | 0:05:17 | 0:05:20 | |
a database of conversations, | 0:05:20 | 0:05:22 | |
behaviours, | 0:05:22 | 0:05:24 | |
even emotions. | 0:05:24 | 0:05:25 | |
As Hiroshi improves Erica's autonomy, | 0:06:09 | 0:06:13 | |
telling the machine and the human apart | 0:06:13 | 0:06:17 | |
could become increasingly difficult. | 0:06:17 | 0:06:20 | |
Hiroshi's newest machine | 0:06:38 | 0:06:40 | |
is inspiring a dream | 0:06:40 | 0:06:42 | |
of endless life of a kind. | 0:06:42 | 0:06:44 | |
Death is to disappear from this world, right? | 0:06:57 | 0:07:03 | |
Androids like Erica are changing what it might be to die. | 0:07:05 | 0:07:10 | |
Erica is not based on any actual person | 0:07:31 | 0:07:35 | |
but, in the future, | 0:07:35 | 0:07:37 | |
Hiroshi could build android replicas of real people, | 0:07:37 | 0:07:40 | |
powered by databases of real memories and behaviours. | 0:07:40 | 0:07:44 | |
It's a vision of the future some may find unsettling, | 0:08:12 | 0:08:15 | |
to see dead loved ones living on as robot replicas. | 0:08:15 | 0:08:20 | |
Imagine a world where there are no graves to dig... | 0:08:38 | 0:08:41 | |
..a world of mind-spinning possibility... | 0:08:45 | 0:08:48 | |
..home to Dmitry Itskov. | 0:08:52 | 0:08:54 | |
His ambition soars beyond | 0:08:57 | 0:08:59 | |
leaving behind a robot copy of himself when he dies. | 0:08:59 | 0:09:02 | |
The immortality of memories is useless for the individual. | 0:09:05 | 0:09:08 | |
Real immortality is the extension of your journey in this life. | 0:09:08 | 0:09:14 | |
All the rest is just useless | 0:09:14 | 0:09:16 | |
for someone whose world is dying with him, | 0:09:16 | 0:09:20 | |
and real immortality technology should create | 0:09:20 | 0:09:22 | |
something to avoid this death. | 0:09:22 | 0:09:24 | |
Is this just a fantasy of the super-rich? | 0:09:24 | 0:09:28 | |
Because to try to defeat death is to challenge time itself. | 0:09:28 | 0:09:33 | |
Our DNA goes through millions of damaging events per day. | 0:09:33 | 0:09:36 | |
Our cells have the machinery to repair that damage | 0:09:36 | 0:09:41 | |
and we have that machinery throughout life | 0:09:41 | 0:09:44 | |
but unfortunately it gets a little less efficient as we age. | 0:09:44 | 0:09:48 | |
Cardiovascular disease | 0:09:50 | 0:09:52 | |
and other age-related conditions | 0:09:52 | 0:09:54 | |
kill around two-thirds of us. | 0:09:54 | 0:09:56 | |
Unfortunately, you know, ageing is an inevitable process. | 0:09:57 | 0:10:01 | |
We would love to find some elixir, | 0:10:01 | 0:10:03 | |
fountain of youth, that can prolong life for ever | 0:10:03 | 0:10:07 | |
but that's just not how it works. | 0:10:07 | 0:10:12 | |
You know, we're going to die at some point. | 0:10:12 | 0:10:14 | |
The oldest person ever recorded died after 122 years. | 0:10:14 | 0:10:20 | |
But Dmitry has a plan to bypass ageing. | 0:10:20 | 0:10:23 | |
The problem now is that our biological body ages. | 0:10:28 | 0:10:34 | |
That's why I decided to develop a completely new body, | 0:10:34 | 0:10:38 | |
and that would extend the life almost endlessly. | 0:10:38 | 0:10:42 | |
We have long been fascinated | 0:10:46 | 0:10:48 | |
by building mechanical copies of ourselves. | 0:10:48 | 0:10:51 | |
Half a century ago, | 0:10:54 | 0:10:56 | |
it was even predicted we would one day merge | 0:10:56 | 0:10:58 | |
with the machines we make. | 0:10:58 | 0:11:00 | |
We may have a society in which robots will drift away | 0:11:03 | 0:11:09 | |
from total metal toward the organic, | 0:11:09 | 0:11:13 | |
and human beings will drift away from the total organic | 0:11:13 | 0:11:16 | |
toward the metal and plastic, | 0:11:16 | 0:11:19 | |
and that somewhere in the middle they may eventually meet. | 0:11:19 | 0:11:23 | |
The first stage of Dmitry's grand plan | 0:11:23 | 0:11:27 | |
echoes Asimov's prophecy. | 0:11:27 | 0:11:29 | |
He wants to control a new robot body using just the power of his mind. | 0:11:31 | 0:11:35 | |
How do we control our physical, biological body? | 0:11:37 | 0:11:40 | |
We just think of doing an action. | 0:11:40 | 0:11:42 | |
We just think of, let's say, moving an arm | 0:11:42 | 0:11:44 | |
and it moves. | 0:11:44 | 0:11:46 | |
So what is important is to create that sort of experience | 0:11:46 | 0:11:50 | |
with the artificial body - | 0:11:50 | 0:11:52 | |
that you just start perceiving that body as a natural one, | 0:11:52 | 0:11:55 | |
in a way that the new body becomes a part of your personality. | 0:11:55 | 0:12:00 | |
The power of our thoughts is already being harnessed | 0:12:08 | 0:12:11 | |
using knowledge gleaned more than a century ago. | 0:12:11 | 0:12:14 | |
Prof Rafael Yuste is one of the scientists | 0:12:16 | 0:12:18 | |
behind a 6 billion project | 0:12:18 | 0:12:21 | |
to try to map the entire activity of the human brain. | 0:12:21 | 0:12:24 | |
My own personal dream | 0:12:31 | 0:12:33 | |
is to understand how one thought is generated. | 0:12:33 | 0:12:37 | |
Rafael is inspired by the Spanish pathologist Santiago Ramon Cajal, | 0:12:37 | 0:12:42 | |
who discovered the basic building blocks of the brain | 0:12:42 | 0:12:45 | |
in the late 1880s. | 0:12:45 | 0:12:47 | |
Cajal in a way was a cartographer. | 0:12:51 | 0:12:54 | |
He's the cartographer of the mind. | 0:12:54 | 0:12:56 | |
By studying brain tissue, Cajal found that individual cells, | 0:12:59 | 0:13:04 | |
neurons, were connected in circuits. | 0:13:04 | 0:13:07 | |
So these are original drawings from Cajal. | 0:13:10 | 0:13:13 | |
Neurons look like little trees, maybe, | 0:13:15 | 0:13:18 | |
that have branches, | 0:13:18 | 0:13:20 | |
which are the part of the brain | 0:13:20 | 0:13:22 | |
that receives the input from other neurons. | 0:13:22 | 0:13:25 | |
And then they have roots that send information to other neurons. | 0:13:25 | 0:13:30 | |
The human brain is made up of around 86 billion neurons. | 0:13:30 | 0:13:35 | |
These cells communicate information | 0:13:39 | 0:13:41 | |
by sending electrical charges to each other. | 0:13:41 | 0:13:45 | |
So just like little computers | 0:13:50 | 0:13:52 | |
that use zeros and ones to transmit information, | 0:13:52 | 0:13:54 | |
neurons fire these little sparks. | 0:13:54 | 0:13:57 | |
So it's a system of interconnected cells, | 0:13:57 | 0:14:00 | |
and you have to imagine them as flashes of light, | 0:14:00 | 0:14:03 | |
which are actually voltages, | 0:14:03 | 0:14:05 | |
that are propagating like waves through the brain. | 0:14:05 | 0:14:08 | |
The way neurons fire is a complex interaction | 0:14:08 | 0:14:12 | |
of biochemistry, anatomy and physiology. | 0:14:12 | 0:14:16 | |
But scientists can now tap into these electrical signals | 0:14:18 | 0:14:21 | |
and use the power of our thoughts in life-changing ways. | 0:14:21 | 0:14:25 | |
At Rancho Los Amigos Hospital in Los Angeles, | 0:14:37 | 0:14:40 | |
researchers are merging the human and the robot more than ever before. | 0:14:40 | 0:14:44 | |
Meet Erik Sorto. | 0:14:46 | 0:14:48 | |
Deep inside his brain are two arrays of electrodes. | 0:14:49 | 0:14:52 | |
In the beginning, I was very conscious of them. | 0:14:56 | 0:14:59 | |
Now I completely forget they're there | 0:14:59 | 0:15:01 | |
until somebody reminds me, like, "What's that on your head?" | 0:15:01 | 0:15:04 | |
I'm like, "Oh, yeah, that's right. | 0:15:04 | 0:15:05 | |
"I have two pedestals sticking out of my head." | 0:15:05 | 0:15:08 | |
Erik's life changed when he was 21 and a member of a gang. | 0:15:10 | 0:15:14 | |
I was lost. | 0:15:18 | 0:15:21 | |
I was lost, confused, young and wild. | 0:15:21 | 0:15:25 | |
On January 2nd 2002, I suffered a gunshot | 0:15:26 | 0:15:30 | |
which left me paralysed from the shoulders down. | 0:15:30 | 0:15:35 | |
Erik's spinal cord was severed, | 0:15:36 | 0:15:39 | |
stopping the signals from his brain that control movement | 0:15:39 | 0:15:43 | |
reaching his limbs. | 0:15:43 | 0:15:45 | |
I'm a C3-C4 complete quadriplegic complete. | 0:15:47 | 0:15:50 | |
To try to restore movement he has lost, | 0:15:52 | 0:15:55 | |
Erik is part of a trial to merge his brain with a robot arm. | 0:15:55 | 0:15:59 | |
-Hi, Spencer! -Hey! | 0:16:20 | 0:16:22 | |
A typical working day for Erik starts like this. | 0:16:24 | 0:16:27 | |
Scientists from Caltech | 0:16:32 | 0:16:33 | |
are connecting Erik's brain to computers | 0:16:33 | 0:16:36 | |
which will decode what he is thinking. | 0:16:36 | 0:16:38 | |
I think this is all good. | 0:16:40 | 0:16:42 | |
Can you move your head? | 0:16:42 | 0:16:44 | |
-Everything good? -Yeah. | 0:16:44 | 0:16:46 | |
Right, I think you are ready to go. | 0:16:46 | 0:16:48 | |
All right. | 0:16:48 | 0:16:50 | |
The team check they are recording the activity | 0:16:50 | 0:16:53 | |
of a tiny number of individual neurons | 0:16:53 | 0:16:56 | |
out of the 86 billion that make up his brain. | 0:16:56 | 0:16:59 | |
Erik, I'll show you a couple of your units. | 0:17:00 | 0:17:03 | |
So this is channel 64. | 0:17:03 | 0:17:05 | |
64 is looking nice, huh? | 0:17:05 | 0:17:06 | |
Looking very nice, actually. Has a nice high firing rate. | 0:17:06 | 0:17:11 | |
What are you thinking about? | 0:17:11 | 0:17:12 | |
Recording the firing of individual neurons is only possible | 0:17:15 | 0:17:19 | |
because Erik agreed to take a risk others might not. | 0:17:19 | 0:17:22 | |
The most challenging part was the brain surgery. | 0:17:24 | 0:17:27 | |
You ask all the questions | 0:17:29 | 0:17:31 | |
but you never know what can happen during surgery. | 0:17:31 | 0:17:35 | |
We create a window in the skull by cutting out a window of bone. | 0:17:37 | 0:17:42 | |
Surgeons implanted two arrays of 96 electrodes, | 0:17:45 | 0:17:49 | |
about four millimetres long, into Erik's brain. | 0:17:49 | 0:17:52 | |
The ability to record at the single cell level | 0:18:00 | 0:18:03 | |
requires that we do these types of invasive procedures. | 0:18:03 | 0:18:07 | |
The bone filters out quite a lot of the information. | 0:18:07 | 0:18:13 | |
On a given day, the electrodes might pick up around 60 neurons. | 0:18:21 | 0:18:25 | |
They are not always the same ones, | 0:18:25 | 0:18:28 | |
probably because the arrays move slightly. | 0:18:28 | 0:18:31 | |
So Erik has had to train hard | 0:18:31 | 0:18:34 | |
to activate neurons to calibrate the computers. | 0:18:34 | 0:18:37 | |
I have a neuron that, to make it fire, | 0:18:39 | 0:18:41 | |
I have to envision my arm doing a windmill. | 0:18:41 | 0:18:44 | |
I have a neuron that likes to punch | 0:18:44 | 0:18:47 | |
so to get it firing, I pretend I'm jabbing. | 0:18:47 | 0:18:50 | |
-All right, let's get to work. -So, let's do some training. | 0:18:50 | 0:18:53 | |
To control the robot arm, | 0:18:55 | 0:18:57 | |
Erik must complete two mental tasks | 0:18:57 | 0:18:59 | |
in response to colours appearing on the screen in front of him. | 0:18:59 | 0:19:02 | |
Green is going to be, "Bring your hand to your mouth." | 0:19:04 | 0:19:07 | |
And red will be subtracting, | 0:19:07 | 0:19:09 | |
you're going to start at 100 and count down by six. | 0:19:09 | 0:19:12 | |
As he thinks each thought, | 0:19:14 | 0:19:16 | |
the computers record which neurons fire in his brain. | 0:19:16 | 0:19:20 | |
The green thought will be used to start the robot, | 0:19:21 | 0:19:25 | |
the red to stop it. | 0:19:25 | 0:19:26 | |
This attempt to merge the human and machine | 0:19:31 | 0:19:34 | |
relies on understanding how the brain controls movement. | 0:19:34 | 0:19:37 | |
For three decades, | 0:19:42 | 0:19:44 | |
Prof Richard Andersen has been investigating the workings | 0:19:44 | 0:19:46 | |
of one particular region of the brain. | 0:19:46 | 0:19:49 | |
So we're interested in the posterior parietal cortex. | 0:19:51 | 0:19:55 | |
It's located about here, | 0:19:55 | 0:19:57 | |
this is the back of Erik's head. | 0:19:57 | 0:20:00 | |
We implanted an area around here. | 0:20:00 | 0:20:02 | |
This area forms the intent or early plans to make movement. | 0:20:06 | 0:20:12 | |
Say I want to punch a key on the computer, | 0:20:13 | 0:20:17 | |
it codes that goal rather than the exact way to get there. | 0:20:17 | 0:20:21 | |
The robotic system is crucial | 0:20:23 | 0:20:25 | |
to the way this brain machine interface works. | 0:20:25 | 0:20:28 | |
The idea is, if we can interpret the intent of the subject, | 0:20:30 | 0:20:34 | |
that many of the fine details of the movement | 0:20:34 | 0:20:36 | |
can then be done with a smart robot. | 0:20:36 | 0:20:39 | |
Now Erik is ready to try to pick up a bottle of beer, | 0:20:42 | 0:20:45 | |
using just his thoughts. | 0:20:45 | 0:20:48 | |
-It's the big moment. -Let's do it. | 0:20:48 | 0:20:49 | |
-You ready? -All right. | 0:20:49 | 0:20:51 | |
OK, here we go. | 0:20:51 | 0:20:52 | |
He thinks only of the goal of the movement - | 0:20:54 | 0:20:57 | |
bring hand to mouth - | 0:20:57 | 0:20:59 | |
and the robot arm works out the rest. | 0:20:59 | 0:21:02 | |
There you go. | 0:21:07 | 0:21:09 | |
First step done. | 0:21:09 | 0:21:11 | |
When you go to reach for something, | 0:21:11 | 0:21:13 | |
you don't walk it step by step. | 0:21:13 | 0:21:15 | |
You just do it. | 0:21:15 | 0:21:17 | |
Once the arm has grasped the bottle, | 0:21:17 | 0:21:19 | |
Erik thinks, "Bring hand to mouth," again. | 0:21:19 | 0:21:22 | |
But just as Erik is supposed to think his stop thought... | 0:21:25 | 0:21:28 | |
And then can you switch over to the arithmetic, do the subtraction? | 0:21:28 | 0:21:33 | |
..there's a problem, | 0:21:33 | 0:21:35 | |
and the arm is stopped automatically. | 0:21:35 | 0:21:38 | |
I think what's happened is that the neural activity has changed | 0:21:38 | 0:21:41 | |
a little bit since we waited a few minutes to do the testing. | 0:21:41 | 0:21:44 | |
The arithmetic changed a little bit. | 0:21:44 | 0:21:46 | |
On other occasions, | 0:21:49 | 0:21:51 | |
Erik has succeeded in drinking a bottle of beer using just his mind. | 0:21:51 | 0:21:55 | |
All right! | 0:21:57 | 0:21:59 | |
Have you finished that thing off? That's good. | 0:22:01 | 0:22:04 | |
His progress in this extraordinary trial | 0:22:04 | 0:22:07 | |
has extended what it is to be human. | 0:22:07 | 0:22:09 | |
-Yeah! -There you go. | 0:22:11 | 0:22:13 | |
In the beginning it was my brain, my arm and the robotic arm. | 0:22:16 | 0:22:21 | |
Now when I go in there, it's my brain and the arm. | 0:22:21 | 0:22:24 | |
We are one, and it feels like my arm. | 0:22:24 | 0:22:28 | |
I think the brain is... | 0:22:29 | 0:22:30 | |
It's a part of us that is ready to use any tool available | 0:22:30 | 0:22:35 | |
to keep on... to keep us moving forward | 0:22:35 | 0:22:40 | |
and helping us live a better life. | 0:22:40 | 0:22:43 | |
In Dmitry Itskov's imagination, | 0:22:54 | 0:22:56 | |
the day will come when we all use our minds to control robots. | 0:22:56 | 0:23:01 | |
It won't just be arms but entire bodies, | 0:23:05 | 0:23:08 | |
the first step in his grand plan to achieve immortality. | 0:23:08 | 0:23:14 | |
It now exists in this medical sphere | 0:23:14 | 0:23:17 | |
but organically, naturally, | 0:23:17 | 0:23:20 | |
the transition towards healthy people will be made... | 0:23:20 | 0:23:24 | |
will be made soon. | 0:23:24 | 0:23:25 | |
A healthy person could get an implant like this | 0:23:27 | 0:23:30 | |
but then they'd be up against | 0:23:30 | 0:23:32 | |
having to have a surgical procedure. | 0:23:32 | 0:23:34 | |
So I think that seems to be much too high a hurdle. | 0:23:34 | 0:23:39 | |
In the future, you can imagine, you know, | 0:23:39 | 0:23:42 | |
many scenarios and interesting things | 0:23:42 | 0:23:45 | |
but I think what we're doing now, | 0:23:45 | 0:23:48 | |
it's purely a medical application. | 0:23:48 | 0:23:51 | |
These scientific advances are fuelling grand dreams | 0:23:51 | 0:23:55 | |
of changing humanity's destiny. | 0:23:55 | 0:23:58 | |
But is it ever really going to be possible | 0:24:14 | 0:24:16 | |
to replace our biological bodies with machines? | 0:24:16 | 0:24:20 | |
If there is a way, | 0:24:20 | 0:24:22 | |
the answer lies in understanding far more | 0:24:22 | 0:24:24 | |
about how the human brain generates thoughts, | 0:24:24 | 0:24:27 | |
because Dmitry's plan isn't just to connect a brain with a robot | 0:24:27 | 0:24:33 | |
but to extract thoughts | 0:24:33 | 0:24:35 | |
and implant them into a computer. | 0:24:35 | 0:24:38 | |
The ultimate goal of my plan | 0:24:39 | 0:24:42 | |
is to transfer someone's personality into the new artificial carrier. | 0:24:42 | 0:24:48 | |
Different scientists call it uploading | 0:24:49 | 0:24:52 | |
or they call it mind transfer. | 0:24:52 | 0:24:54 | |
I prefer to call it the personality transfer. | 0:24:54 | 0:24:58 | |
It's an ambition so audacious | 0:25:02 | 0:25:04 | |
Dmitry Itskov has a team to advise him. | 0:25:04 | 0:25:08 | |
His scientific director manages the details of this plan | 0:25:11 | 0:25:14 | |
to escape the ravages of time. | 0:25:14 | 0:25:16 | |
Dr Randal Koene makes it his business | 0:25:18 | 0:25:21 | |
to stay across the work of key neuroscientists. | 0:25:21 | 0:25:24 | |
I travel to their labs all the time. | 0:25:27 | 0:25:29 | |
I keep up with the latest work, | 0:25:29 | 0:25:31 | |
make sure that I know what's cutting edge, | 0:25:31 | 0:25:33 | |
and try to figure out how things fit together well. | 0:25:33 | 0:25:36 | |
He won't reveal which work they are funding | 0:25:43 | 0:25:46 | |
or for how much. | 0:25:46 | 0:25:47 | |
Like Dmitry, Randal's passion to free himself from time | 0:25:50 | 0:25:55 | |
is a lifelong dream. | 0:25:55 | 0:25:56 | |
As a teenager, you want to be many things. | 0:26:02 | 0:26:04 | |
You want to be an astronaut but you want to be a mountain climber. | 0:26:04 | 0:26:07 | |
You want to be a writer and you want to be a scientist and an engineer. | 0:26:07 | 0:26:10 | |
There's too little time to do that | 0:26:10 | 0:26:12 | |
so how long you live, that really does matter. | 0:26:12 | 0:26:15 | |
Randal was formerly a research professor | 0:26:16 | 0:26:19 | |
at Boston University's Center for Memory and Brain | 0:26:19 | 0:26:23 | |
before leaving to pursue his fantastical vision | 0:26:23 | 0:26:26 | |
of humanity's future. | 0:26:26 | 0:26:28 | |
How could you increase what we're able to do? | 0:26:28 | 0:26:31 | |
How could you experience things | 0:26:31 | 0:26:32 | |
that right now only our machines can experience? | 0:26:32 | 0:26:35 | |
We send robots to the planets | 0:26:37 | 0:26:39 | |
because we can't really live in space. | 0:26:39 | 0:26:43 | |
But imagine if we could! | 0:26:43 | 0:26:44 | |
Randal draws on neuroscience | 0:26:46 | 0:26:48 | |
which has predominantly approached the brain | 0:26:48 | 0:26:50 | |
as if it worked like a computer. | 0:26:50 | 0:26:52 | |
In this analogy, | 0:26:55 | 0:26:57 | |
the brain turns inputs - sensory information - | 0:26:57 | 0:27:00 | |
into outputs - our behaviour - | 0:27:00 | 0:27:03 | |
through computations. | 0:27:03 | 0:27:05 | |
That which is us - yourself, your awareness, your memories - | 0:27:05 | 0:27:09 | |
all of that is expressed in terms of information. | 0:27:09 | 0:27:13 | |
Now Randal makes a leap in the dark. | 0:27:13 | 0:27:16 | |
Information can be copied, information can be archived. | 0:27:16 | 0:27:19 | |
It can be extended. | 0:27:19 | 0:27:21 | |
So if you can deal with it as information, | 0:27:21 | 0:27:24 | |
then the sky's the limit. | 0:27:24 | 0:27:25 | |
Randal has devised a road map | 0:27:29 | 0:27:31 | |
for how to go about actually transferring a person's mind | 0:27:31 | 0:27:34 | |
to a machine. | 0:27:34 | 0:27:36 | |
I like to think of it as an area | 0:27:38 | 0:27:40 | |
that has four main types of problems. | 0:27:40 | 0:27:44 | |
What we need to understand is the structure of the brain. | 0:27:44 | 0:27:48 | |
But that's not enough. | 0:27:48 | 0:27:50 | |
So the other part of the problem is what we call function. | 0:27:50 | 0:27:55 | |
Something goes in and something comes out. | 0:27:55 | 0:27:58 | |
Then there's the question, | 0:27:58 | 0:27:59 | |
what do you do with all that structure and function data? | 0:27:59 | 0:28:01 | |
How do you express this as math, as models? | 0:28:01 | 0:28:04 | |
And finally, | 0:28:04 | 0:28:06 | |
you need something like a bunch of chips | 0:28:06 | 0:28:10 | |
or something else that is your implementation. | 0:28:10 | 0:28:13 | |
Those are the four parts of the road map. | 0:28:13 | 0:28:15 | |
The road map seems clear | 0:28:17 | 0:28:21 | |
but could we ever reach its destination? | 0:28:21 | 0:28:24 | |
Any plan to upload the mind | 0:28:30 | 0:28:32 | |
relies on understanding the deepest workings of the brain. | 0:28:32 | 0:28:37 | |
But cracking this extraordinary organ | 0:28:37 | 0:28:40 | |
is proving to be a challenge like no other in science. | 0:28:40 | 0:28:45 | |
The brain generates all of our behaviour | 0:28:49 | 0:28:51 | |
but also, it generates all of our mental world. | 0:28:51 | 0:28:54 | |
It generates our mind and now the challenge is precisely to... | 0:28:54 | 0:28:57 | |
how to go from a physical substrate of cells | 0:28:57 | 0:29:01 | |
that are connected and all together inside this organ, | 0:29:01 | 0:29:05 | |
to our mental world - | 0:29:05 | 0:29:08 | |
to our thoughts, to our memories, to our feelings. | 0:29:08 | 0:29:12 | |
How the neurons that make up the brain | 0:29:13 | 0:29:16 | |
give rise to every aspect of us | 0:29:16 | 0:29:18 | |
is a mystery that has endured since the days | 0:29:18 | 0:29:22 | |
of Santiago Ramon Cajal, | 0:29:22 | 0:29:24 | |
the founding father of neuroscience. | 0:29:24 | 0:29:27 | |
Actually, he has a beautiful quote here in Spanish | 0:29:28 | 0:29:30 | |
precisely about this topic. | 0:29:30 | 0:29:32 | |
TRANSLATION: | 0:29:34 | 0:29:36 | |
For all that has been learned | 0:30:01 | 0:30:02 | |
in the decades since those lines were written | 0:30:02 | 0:30:05 | |
about the complex anatomy and physiology of neural firing, | 0:30:05 | 0:30:09 | |
how our brains give rise to our consciousness remains opaque. | 0:30:09 | 0:30:14 | |
Right now, it's still mostly mysterious. | 0:30:14 | 0:30:17 | |
It's still... We are still in the times of Cajal, of talking, | 0:30:17 | 0:30:20 | |
thinking about these mysterious butterflies of the soul, no? | 0:30:20 | 0:30:24 | |
Given the mystery that shrouds the workings of the brain, | 0:30:25 | 0:30:29 | |
is Dmitry Itskov right to even dream of uploading his mind to a machine? | 0:30:29 | 0:30:34 | |
In all politeness, I mean, other people might say he's mad. | 0:30:37 | 0:30:40 | |
Yeah, I guess all of the evidence seems to say, well, | 0:30:42 | 0:30:45 | |
in theory, it's possible. | 0:30:45 | 0:30:47 | |
It's extremely difficult but it's possible. | 0:30:47 | 0:30:49 | |
So then you could say someone like that is ambitious, is visionary, | 0:30:49 | 0:30:53 | |
forward-thinking, maybe a little ahead of their time. | 0:30:53 | 0:30:56 | |
But not mad, | 0:30:56 | 0:30:58 | |
because being mad sort of implies that you're crazy, | 0:30:58 | 0:31:02 | |
that you're thinking of something that's just impossible, | 0:31:02 | 0:31:05 | |
and that's not the case. | 0:31:05 | 0:31:06 | |
So how far have the immortalists got? | 0:31:15 | 0:31:18 | |
One answer lies in the edge lands of Los Angeles. | 0:31:21 | 0:31:24 | |
On the border between the known and the unknown, | 0:31:30 | 0:31:34 | |
a neuroscientist who by day maps the structure of the brain | 0:31:34 | 0:31:37 | |
at a respected research institute | 0:31:37 | 0:31:41 | |
and by night works on uploading his mind to a computer. | 0:31:41 | 0:31:45 | |
I wouldn't have known how to play it safe even if I tried. | 0:31:47 | 0:31:51 | |
Dr Ken Hayworth has been fascinated by the potential of the brain | 0:31:59 | 0:32:03 | |
since childhood. | 0:32:03 | 0:32:05 | |
When I was a kid, I very much wanted to go into space. | 0:32:08 | 0:32:12 | |
How can I, myself, get to another star? | 0:32:19 | 0:32:24 | |
Is that possible? | 0:32:24 | 0:32:25 | |
This was in high school, | 0:32:25 | 0:32:27 | |
I was reading neural network books at the time. | 0:32:27 | 0:32:29 | |
And at some point, it dawned on me - we are just information. | 0:32:29 | 0:32:34 | |
We could be encoded as ones and zeros, | 0:32:34 | 0:32:37 | |
and we could transmit ourselves at the speed of light | 0:32:37 | 0:32:41 | |
to the nearest star. | 0:32:41 | 0:32:42 | |
Ken approaches the brain as if it were a computer, | 0:32:48 | 0:32:51 | |
the analogy used by many mainstream neuroscientists. | 0:32:51 | 0:32:55 | |
The brain is a beautifully put-together, complex | 0:32:57 | 0:33:01 | |
computational device that gives rise to not only intelligence | 0:33:01 | 0:33:06 | |
but consciousness and emotions, | 0:33:06 | 0:33:08 | |
and it is scrutable. | 0:33:08 | 0:33:11 | |
It is understandable. | 0:33:11 | 0:33:13 | |
Ken uses an electron microscope to image tiny pieces of mouse brain. | 0:33:15 | 0:33:20 | |
He is trying to map the connectome, | 0:33:23 | 0:33:26 | |
the complex connections of all the neurons. | 0:33:26 | 0:33:29 | |
He's convinced this wiring diagram, | 0:33:31 | 0:33:34 | |
if it could be made for our brains, | 0:33:34 | 0:33:36 | |
holds the key to uploading the mind. | 0:33:36 | 0:33:39 | |
The connectome in our brain | 0:33:40 | 0:33:43 | |
is encoding all of our memories that make us "us" | 0:33:43 | 0:33:48 | |
and so, in the same sense that my computer | 0:33:48 | 0:33:52 | |
is really just the ones and zeros on my hard drive, | 0:33:52 | 0:33:55 | |
and I don't care what happens | 0:33:55 | 0:33:57 | |
as long as those ones and zeros make it to the next computer, | 0:33:57 | 0:34:01 | |
it should be the same thing with me. | 0:34:01 | 0:34:04 | |
I don't care if my connectome is implemented in this physical body. | 0:34:04 | 0:34:10 | |
What I care is if that connectome is implemented in any physical body, | 0:34:10 | 0:34:16 | |
whether it be a human body | 0:34:16 | 0:34:18 | |
or a computer simulation controlling a robotic body. | 0:34:18 | 0:34:21 | |
Plotting out the connectome would be the first step in Randal's road map. | 0:34:22 | 0:34:26 | |
But it is a vast, perhaps even impossible, undertaking. | 0:34:28 | 0:34:33 | |
We are pitifully far away from mapping a human connectome. | 0:34:34 | 0:34:37 | |
Every single synapse in the brain, | 0:34:42 | 0:34:44 | |
all trillions and trillions of them... | 0:34:44 | 0:34:47 | |
To put it in perspective, in order to image a whole fly brain, | 0:34:47 | 0:34:53 | |
it is going to take us approximately one to two years. | 0:34:53 | 0:34:58 | |
The idea of mapping a whole human brain | 0:34:59 | 0:35:03 | |
with the existing technology that we have today | 0:35:03 | 0:35:06 | |
is simply impossible. | 0:35:06 | 0:35:10 | |
Even if the connectome could be traced, | 0:35:11 | 0:35:13 | |
Ken believes the second stage of the road map - | 0:35:13 | 0:35:16 | |
understanding what the brain does, its physiology - | 0:35:16 | 0:35:20 | |
would also be needed. | 0:35:20 | 0:35:22 | |
If we were somehow given a structural synaptic diagram today | 0:35:23 | 0:35:28 | |
of a whole human brain, | 0:35:28 | 0:35:30 | |
we wouldn't be able to do much with it | 0:35:30 | 0:35:32 | |
because we still have all of that additional electrophysiology data | 0:35:32 | 0:35:37 | |
that has to be gathered as well. | 0:35:37 | 0:35:39 | |
These have to come together | 0:35:39 | 0:35:41 | |
to actually add up to a complete simulation of the brain. | 0:35:41 | 0:35:44 | |
Progress on the second stage of the road map - | 0:35:48 | 0:35:51 | |
what the brain does - | 0:35:51 | 0:35:53 | |
is being made. | 0:35:53 | 0:35:54 | |
In the centre of New York, | 0:36:00 | 0:36:02 | |
at Columbia University, | 0:36:02 | 0:36:04 | |
Prof Rafael Yuste is leading a bold effort | 0:36:04 | 0:36:08 | |
to map the constant activity of the brain. | 0:36:08 | 0:36:11 | |
It is a critical part of what is known as the Obama Brain Initiative. | 0:36:13 | 0:36:17 | |
The ambition of the world's biggest neuroscience project | 0:36:17 | 0:36:21 | |
was made clear to Rafael | 0:36:21 | 0:36:23 | |
at a crucial meeting at the White House. | 0:36:23 | 0:36:26 | |
It was the week after they landed the Rover in Mars. | 0:36:26 | 0:36:30 | |
And so the meeting started | 0:36:37 | 0:36:38 | |
with Tom Kalil from the White House opening the meeting | 0:36:38 | 0:36:41 | |
and saying, "This has been a good week for us. | 0:36:41 | 0:36:43 | |
"Now let's talk about the brain. | 0:36:43 | 0:36:44 | |
"If we can put this thing in Mars, | 0:36:44 | 0:36:47 | |
"how come we cannot solve schizophrenia?" | 0:36:47 | 0:36:49 | |
-OBAMA: -The next great American project, | 0:36:51 | 0:36:54 | |
that's what we're calling The Brain Initiative. | 0:36:54 | 0:36:56 | |
6 billion has been pledged | 0:36:58 | 0:37:00 | |
to try to solve the mysteries of brain disorders | 0:37:00 | 0:37:03 | |
that affect millions of people. | 0:37:03 | 0:37:05 | |
One major strand of the initiative | 0:37:07 | 0:37:09 | |
is Rafael's ambitious plan | 0:37:09 | 0:37:12 | |
to map the constant interaction of neurons in the brain, | 0:37:12 | 0:37:16 | |
its physiology. | 0:37:16 | 0:37:17 | |
We want to measure every spark from all the neurons | 0:37:19 | 0:37:22 | |
at once, simultaneously. | 0:37:22 | 0:37:24 | |
Many people said it's just impossible. | 0:37:26 | 0:37:29 | |
As a start, Rafael is focusing on mapping the neural activity | 0:37:33 | 0:37:37 | |
of a tiny freshwater invertebrate. | 0:37:37 | 0:37:39 | |
Hydra is an example of an cnidarian | 0:37:43 | 0:37:45 | |
that has one of the simplest nervous systems in evolution. | 0:37:45 | 0:37:50 | |
So, in the tree of life, | 0:37:50 | 0:37:52 | |
cnidarians is the first time that animals have neurons. | 0:37:52 | 0:37:56 | |
The hydra has between 300 | 0:37:56 | 0:37:58 | |
and a few thousand neurons | 0:37:58 | 0:38:00 | |
distributed in a network, | 0:38:00 | 0:38:02 | |
a tiny fraction of the 86 billion in the human brain. | 0:38:02 | 0:38:07 | |
Somehow this structure of neurons across the body of the animal | 0:38:07 | 0:38:11 | |
controls behaviour. | 0:38:11 | 0:38:13 | |
So it offers a golden opportunity | 0:38:13 | 0:38:15 | |
to understand how the activity of the entire nervous system | 0:38:15 | 0:38:19 | |
can generate behaviour. | 0:38:19 | 0:38:22 | |
One of the great challenges of neuroscience | 0:38:22 | 0:38:24 | |
is how to see the activity inside a brain as it happens. | 0:38:24 | 0:38:29 | |
In this case, Rafael solved it by genetically modifying the hydra. | 0:38:30 | 0:38:35 | |
We've made a transgenic animal | 0:38:35 | 0:38:37 | |
expressing a calcium indicator in every single neuron. | 0:38:37 | 0:38:41 | |
As a neuron fires, | 0:38:41 | 0:38:43 | |
calcium comes into the cell | 0:38:43 | 0:38:45 | |
and binds to a dye that can be tracked. | 0:38:45 | 0:38:48 | |
The little dots of light that you see in the screen | 0:38:53 | 0:38:56 | |
are the neurons of the animal. | 0:38:56 | 0:38:58 | |
And when the neurons are activated, they're flashing. | 0:38:58 | 0:39:02 | |
When it contracts, you can see how the neurons are flashing, | 0:39:02 | 0:39:05 | |
very likely because its neurons | 0:39:05 | 0:39:07 | |
are sort of controlling the muscle of the animal | 0:39:07 | 0:39:09 | |
and making it contract. | 0:39:09 | 0:39:11 | |
In this research, yet to be published, | 0:39:11 | 0:39:14 | |
Rafael and his team have imaged the activity | 0:39:14 | 0:39:16 | |
of close to every neuron in a brain for the first time. | 0:39:16 | 0:39:20 | |
It was very exciting. It's thrilling. | 0:39:25 | 0:39:28 | |
I'm still thrilled when I look at it. | 0:39:28 | 0:39:29 | |
On the other hand, at this point, today, | 0:39:29 | 0:39:32 | |
we just cannot tell you what these patterns mean. | 0:39:32 | 0:39:35 | |
So it's a little bit like listening in on a conversation | 0:39:35 | 0:39:39 | |
in a foreign language that you don't understand. | 0:39:39 | 0:39:42 | |
Decoding the complete patterns of neural activity of a brain | 0:39:42 | 0:39:45 | |
has never been done. | 0:39:45 | 0:39:47 | |
We should be able to do it. | 0:39:47 | 0:39:48 | |
I mean, after all, there is no magic here. | 0:39:48 | 0:39:50 | |
This is just a bunch of neurons firing together. | 0:39:50 | 0:39:53 | |
Rafael and his team have catalogued around 30 hydra behaviours. | 0:40:00 | 0:40:05 | |
The next task is to match these up | 0:40:07 | 0:40:09 | |
with the pattern of neuronal activity | 0:40:09 | 0:40:12 | |
to understand how the brain controls the organism's behaviour. | 0:40:12 | 0:40:15 | |
If we're successful, | 0:40:18 | 0:40:19 | |
we'll be reading the mind of this little cnidarian, | 0:40:19 | 0:40:22 | |
the little hydra. | 0:40:22 | 0:40:24 | |
We will be able to look at the activity | 0:40:24 | 0:40:26 | |
and know what it's thinking, so to speak. | 0:40:26 | 0:40:29 | |
The plan is to scale the research up. | 0:40:29 | 0:40:32 | |
Within 15 years, | 0:40:32 | 0:40:34 | |
new tools should allow every neuron in the mouse cortex to be imaged. | 0:40:34 | 0:40:38 | |
But the ultimate aim is to unlock the biggest brain of all - our own. | 0:40:39 | 0:40:45 | |
We should be able, | 0:40:45 | 0:40:47 | |
if science progresses correctly, | 0:40:47 | 0:40:49 | |
to decode that activity | 0:40:49 | 0:40:51 | |
and re-interpret that activity | 0:40:51 | 0:40:54 | |
in the same way that the brain itself interprets it. | 0:40:54 | 0:40:57 | |
So we will be able to essentially access the thought, | 0:41:01 | 0:41:04 | |
the mental processes that go on in animals or in a human. | 0:41:04 | 0:41:08 | |
If you call this downloading, or deciphering... | 0:41:08 | 0:41:12 | |
So that part, I think it's in our future. | 0:41:12 | 0:41:15 | |
If we could interpret the activity of the brain, | 0:41:17 | 0:41:20 | |
it could help solve diseases like Alzheimer's. | 0:41:20 | 0:41:24 | |
But it might also have an unintended consequence. | 0:41:24 | 0:41:29 | |
If the brain were a digital computer, | 0:41:29 | 0:41:32 | |
if you wanted to upload the mind, | 0:41:32 | 0:41:36 | |
you need to be able to decipher it or download it first, | 0:41:36 | 0:41:40 | |
so I think it's a necessary step. | 0:41:40 | 0:41:42 | |
The Brain Initiative, or the brain activity map, | 0:41:42 | 0:41:46 | |
is a step that is necessary for this uploading to happen. | 0:41:46 | 0:41:52 | |
The results of this research can't come soon enough for Dmitry Itskov. | 0:41:59 | 0:42:04 | |
He believes we are living in dangerous times... | 0:42:07 | 0:42:11 | |
..and immortality may be humanity's salvation. | 0:42:13 | 0:42:17 | |
We will be able to live in space. | 0:42:18 | 0:42:20 | |
And we could potentially move somewhere in the future | 0:42:20 | 0:42:23 | |
if this planet is in danger. | 0:42:23 | 0:42:25 | |
And you can apply this approach, I think, literally, to every threat. | 0:42:25 | 0:42:31 | |
But he shouldn't relax. | 0:42:35 | 0:42:37 | |
At Duke University in North Carolina, | 0:42:41 | 0:42:44 | |
evidence is emerging that challenges key assumptions | 0:42:44 | 0:42:47 | |
of the mind uploaders. | 0:42:47 | 0:42:49 | |
Prof Miguel Nicolelis is a brain-machine interface pioneer | 0:42:50 | 0:42:55 | |
who's developing an exoskeleton to help the paralysed walk. | 0:42:55 | 0:43:00 | |
He rejects the analogy used by many neuroscientists | 0:43:00 | 0:43:04 | |
that the brain works like a computer. | 0:43:04 | 0:43:07 | |
This is a common metaphor that has quite a lot of power | 0:43:08 | 0:43:12 | |
because computers have acquired a lot of power. | 0:43:12 | 0:43:15 | |
And they are the most complex things that, arguably, humans make. | 0:43:15 | 0:43:20 | |
But they don't even get close | 0:43:22 | 0:43:24 | |
to the level of complexity that a human brain | 0:43:24 | 0:43:27 | |
is capable of handling or generating. | 0:43:27 | 0:43:29 | |
After all, computers are just projections | 0:43:29 | 0:43:32 | |
from our abstract thinking | 0:43:32 | 0:43:33 | |
but they don't use neither the language nor the logic | 0:43:33 | 0:43:38 | |
that our brains actually utilise... | 0:43:38 | 0:43:41 | |
employ to actually produce these abstractions. | 0:43:41 | 0:43:45 | |
The brain is so complex because it is constantly changing. | 0:43:46 | 0:43:51 | |
The best analogy I have for the brain | 0:43:51 | 0:43:53 | |
is that the brain is like an orchestra. | 0:43:53 | 0:43:55 | |
That every time it composes or plays a tune, | 0:43:55 | 0:44:00 | |
the tune itself changes the instruments of the orchestra. | 0:44:00 | 0:44:03 | |
The way complexity emerges from, you know, | 0:44:03 | 0:44:07 | |
the biological matter that forms our brains | 0:44:07 | 0:44:10 | |
is very different from what you get from pieces of electronics. | 0:44:10 | 0:44:14 | |
Let's turn on the pre-amps. | 0:44:17 | 0:44:19 | |
Now we're connecting to a brain. | 0:44:22 | 0:44:25 | |
Miguel is running an experiment | 0:44:25 | 0:44:27 | |
to harness the ability of the brain to adapt | 0:44:27 | 0:44:30 | |
that could one day help blind people see. | 0:44:30 | 0:44:33 | |
We have it set up. | 0:44:33 | 0:44:35 | |
OK, she's doing it. | 0:44:36 | 0:44:38 | |
On the rat's head are four sensors. | 0:44:38 | 0:44:41 | |
When they detect infrared light, | 0:44:41 | 0:44:43 | |
they send electrical pulses to electrodes in her brain. | 0:44:43 | 0:44:48 | |
Eric implanted the tactile part of her cortex, | 0:44:48 | 0:44:51 | |
the part of the cortex, this surface of the brain here, | 0:44:51 | 0:44:54 | |
that processes information from the face - | 0:44:54 | 0:44:56 | |
more precisely, from the whiskers in the face. | 0:44:56 | 0:44:59 | |
Infrared light is fired randomly from different directions. | 0:44:59 | 0:45:03 | |
If the rat goes to its source, she gets a reward. | 0:45:03 | 0:45:07 | |
-Wow! -She's doing almost 100% now. | 0:45:07 | 0:45:11 | |
Her reaction time is amazing. | 0:45:11 | 0:45:13 | |
She just jumps to the correct one. | 0:45:13 | 0:45:15 | |
If it was a visible light, it's as fast. | 0:45:15 | 0:45:17 | |
Yeah, look at that, she just jumped to that one. | 0:45:17 | 0:45:21 | |
The rat's performance is revealing something extraordinary. | 0:45:21 | 0:45:24 | |
She's going after the infrared beam just by sensing it, | 0:45:24 | 0:45:29 | |
feeling it, as if it was... | 0:45:29 | 0:45:30 | |
if it were a tactile stimulation to her body, | 0:45:30 | 0:45:35 | |
to her face, more specifically. | 0:45:35 | 0:45:37 | |
I would give a lot just to talk to this rat | 0:45:37 | 0:45:40 | |
and learn what she's feeling right now. | 0:45:40 | 0:45:43 | |
Must be a weird tactile sensation to touch light. | 0:45:43 | 0:45:47 | |
This work could lead to neuro-prosthetic devices | 0:45:53 | 0:45:56 | |
that give sight to the blind | 0:45:56 | 0:45:59 | |
and even extend it. | 0:45:59 | 0:46:01 | |
Most of the effort today is to put an implant in the retina | 0:46:01 | 0:46:04 | |
but that's very difficult. | 0:46:04 | 0:46:05 | |
Why not go to the visual cortex directly | 0:46:05 | 0:46:08 | |
and create not only regular vision | 0:46:08 | 0:46:11 | |
but also provide other types of inputs, | 0:46:11 | 0:46:14 | |
infrared or X-ray or whatever? | 0:46:14 | 0:46:16 | |
It may become useful. | 0:46:16 | 0:46:18 | |
By taking on a new sense, | 0:46:20 | 0:46:22 | |
this rat could also confound the mind uploaders. | 0:46:22 | 0:46:25 | |
It doesn't really support their argument. | 0:46:25 | 0:46:28 | |
It supports the fact that brains can learn new tricks. | 0:46:31 | 0:46:34 | |
That's what brains are good for. | 0:46:34 | 0:46:36 | |
It gets raw information and generates something out of it - | 0:46:36 | 0:46:40 | |
knowledge. | 0:46:40 | 0:46:42 | |
That transformation cannot be done in a machine like that. | 0:46:42 | 0:46:44 | |
You're never going to get a machine | 0:46:44 | 0:46:46 | |
to generate knowledge out of information. | 0:46:46 | 0:46:49 | |
Miguel believes the dynamic complexity of the brain, | 0:46:49 | 0:46:52 | |
from which the human condition emerges, | 0:46:52 | 0:46:55 | |
cannot be replicated. | 0:46:55 | 0:46:57 | |
You cannot code intuition. You cannot code aesthetic beauty. | 0:47:00 | 0:47:05 | |
You cannot code love or hate or prejudice. | 0:47:07 | 0:47:11 | |
There is no way you will ever see a human brain | 0:47:11 | 0:47:15 | |
reduced to a digital medium. | 0:47:15 | 0:47:17 | |
It's simply impossible to reduce the complexity | 0:47:17 | 0:47:19 | |
to the kind of algorithmic process | 0:47:19 | 0:47:23 | |
that you would have to have to do that. | 0:47:23 | 0:47:25 | |
If somebody is saying that the brain is not computational, | 0:47:27 | 0:47:31 | |
the question becomes, what is it, then? | 0:47:31 | 0:47:35 | |
Because computational is essentially another term for materialist, | 0:47:37 | 0:47:44 | |
that it obeys the laws of physics, of cause and effect. | 0:47:44 | 0:47:48 | |
Are we saying that the brain is not a device | 0:47:48 | 0:47:52 | |
that obeys the laws of cause and effect? | 0:47:52 | 0:47:54 | |
But could the brain obey the laws of physics | 0:47:58 | 0:48:01 | |
without being a computer? | 0:48:01 | 0:48:03 | |
At Columbia University, questions are being asked | 0:48:05 | 0:48:08 | |
about whether the brain could be a biological machine | 0:48:08 | 0:48:12 | |
that might be impossible to copy. | 0:48:12 | 0:48:14 | |
The idea that you can upload the mind | 0:48:15 | 0:48:18 | |
assumes that the mind is some sort of digital computer. | 0:48:18 | 0:48:21 | |
But the activity of one of the simplest brains in evolution | 0:48:21 | 0:48:25 | |
suggests it might work in a very different way. | 0:48:25 | 0:48:29 | |
What's really surprising is what happened, like, right here. | 0:48:29 | 0:48:33 | |
When there is activity going on | 0:48:34 | 0:48:36 | |
in the nervous system of the animal without any apparent movement, | 0:48:36 | 0:48:41 | |
without any apparent contraction, | 0:48:41 | 0:48:43 | |
this continuous pattern is like a flash. | 0:48:43 | 0:48:46 | |
It goes through the whole body of the animal | 0:48:46 | 0:48:49 | |
and it's really exciting. | 0:48:49 | 0:48:51 | |
It's... You know, scientists, we thrive on trying to understand | 0:48:51 | 0:48:55 | |
things that are mysteries or puzzles. | 0:48:55 | 0:48:57 | |
It is a puzzle because it can't be explained | 0:48:57 | 0:49:00 | |
by the traditional model of the brain used in neuroscience. | 0:49:00 | 0:49:04 | |
You can imagine that the mind or brain would be this box. | 0:49:07 | 0:49:12 | |
And this box reflects the sensory inputs | 0:49:12 | 0:49:16 | |
that are coming in from the outside, the sensory world, | 0:49:16 | 0:49:21 | |
and uses that information to generate a motor output. | 0:49:21 | 0:49:26 | |
And this is our behaviour. | 0:49:26 | 0:49:27 | |
So it's a very simple input/output machine, | 0:49:27 | 0:49:31 | |
just like a digital computer. | 0:49:31 | 0:49:32 | |
This model cannot explain the continual activity of the brain. | 0:49:34 | 0:49:38 | |
Why do the neurons in this animal fire spontaneously | 0:49:40 | 0:49:43 | |
when the animal is not doing anything? | 0:49:43 | 0:49:45 | |
What is it doing? Is it thinking? | 0:49:45 | 0:49:48 | |
Rafael is developing a theory that tries to explain | 0:49:48 | 0:49:51 | |
how the spontaneous activity in the brain is generated. | 0:49:51 | 0:49:55 | |
It's not that the brain reflects the world, is a copy of the world. | 0:49:55 | 0:50:00 | |
It's the opposite - that the brain generates the world. | 0:50:00 | 0:50:03 | |
The world is a copy of our brain. | 0:50:03 | 0:50:05 | |
What we perceive, what we see is not what's out there. | 0:50:05 | 0:50:08 | |
It's what we have inside. | 0:50:08 | 0:50:10 | |
There is activity going on here, | 0:50:10 | 0:50:12 | |
regardless of whether there's input or not. | 0:50:12 | 0:50:15 | |
The input and the output are not essential. | 0:50:15 | 0:50:18 | |
What's essential is actually this internal machine | 0:50:18 | 0:50:21 | |
and this may be very different from a digital computer. | 0:50:21 | 0:50:24 | |
It's not a machine that you can understand | 0:50:24 | 0:50:26 | |
by taking it step by step, | 0:50:26 | 0:50:28 | |
like you can with this machine. | 0:50:28 | 0:50:30 | |
The old model assumed each neuron had a specific job to do. | 0:50:30 | 0:50:34 | |
For several decades, | 0:50:34 | 0:50:36 | |
the focus of neuroscience has turned | 0:50:36 | 0:50:38 | |
to how vast groups of neurons work together. | 0:50:38 | 0:50:41 | |
Now Rafael is trying to develop the tools | 0:50:42 | 0:50:45 | |
to see the activity of all the neurons in a brain | 0:50:45 | 0:50:48 | |
at the same time. | 0:50:48 | 0:50:49 | |
So this is just like trying to watch a TV screen. | 0:50:50 | 0:50:54 | |
You're looking at a movie | 0:50:54 | 0:50:55 | |
and imagine trying to see that movie | 0:50:55 | 0:50:57 | |
if you can only see a single pixel of the screen. | 0:50:57 | 0:50:59 | |
You'd never understand what's playing. | 0:50:59 | 0:51:01 | |
So what if the function of the brain, | 0:51:01 | 0:51:05 | |
it's like that TV screen, | 0:51:05 | 0:51:07 | |
and each neuron is one pixel. | 0:51:07 | 0:51:09 | |
And the movie that's playing, the movie is an emerging property. | 0:51:10 | 0:51:14 | |
By definition, again, it's not present in the individual pixel. | 0:51:14 | 0:51:17 | |
You have to look at them all together. | 0:51:17 | 0:51:20 | |
Dmitry Itskov's dream of immortality | 0:51:20 | 0:51:23 | |
hangs in the balance | 0:51:23 | 0:51:25 | |
between two visions of how the brain might work. | 0:51:25 | 0:51:28 | |
If that's true, you may be able to download the mind of a person | 0:51:29 | 0:51:34 | |
because it would be downloading all the information | 0:51:34 | 0:51:37 | |
and then play it back. | 0:51:37 | 0:51:39 | |
But if this is the way the brain works, | 0:51:39 | 0:51:43 | |
then it's not obvious to me that you're going to be able to do this. | 0:51:43 | 0:51:49 | |
And it depends on this issue | 0:51:49 | 0:51:51 | |
of whether the brain's a computer or not. | 0:51:51 | 0:51:54 | |
For all the competing views | 0:51:55 | 0:51:57 | |
of how the brain might give rise to every aspect of us, | 0:51:57 | 0:52:00 | |
there is no scientific proof | 0:52:00 | 0:52:03 | |
that mind uploading could be done or not. | 0:52:03 | 0:52:06 | |
In its absence, | 0:52:17 | 0:52:18 | |
Dr Ken Hayworth is pressing on with his own plan to upload his mind. | 0:52:18 | 0:52:23 | |
I'm probably a very practical, brute-force-minded thinker. | 0:52:25 | 0:52:32 | |
Ken has come to 21st Century Medicine, | 0:52:34 | 0:52:37 | |
east of Los Angeles, to see a new prototype. | 0:52:37 | 0:52:40 | |
He hopes it will deliver the clever twist at the heart of his plan | 0:52:40 | 0:52:44 | |
to achieve immortality. | 0:52:44 | 0:52:46 | |
Let's find some way to just stop time. | 0:52:47 | 0:52:50 | |
All right! | 0:52:54 | 0:52:55 | |
Dr Robert McIntyre has devised a new way | 0:52:56 | 0:52:59 | |
to try to stop time's relentless motion. | 0:52:59 | 0:53:03 | |
All right, here are the samples. | 0:53:03 | 0:53:05 | |
All right, so here is the pig brain right there... | 0:53:07 | 0:53:11 | |
-..frozen in time. -Wow! | 0:53:13 | 0:53:16 | |
This biomedical company | 0:53:16 | 0:53:18 | |
develops new preservation methods for entire organs. | 0:53:18 | 0:53:22 | |
Ken's aim is different. | 0:53:23 | 0:53:25 | |
He wants to preserve the information within a brain | 0:53:25 | 0:53:28 | |
until science can extract it. | 0:53:28 | 0:53:30 | |
This brain was profused with fixative, glutaraldehyde, | 0:53:30 | 0:53:36 | |
so that it literally solidifies without freezing? | 0:53:36 | 0:53:39 | |
-Yeah. -Wow! | 0:53:39 | 0:53:41 | |
The fixing agent glutaraldehyde renders the brain dead. | 0:53:44 | 0:53:48 | |
It's basically saying let's not be scared of injecting somebody | 0:53:49 | 0:53:55 | |
with a completely deadly poison, glutaraldehyde, | 0:53:55 | 0:53:58 | |
because, after all, that is simply | 0:53:58 | 0:54:01 | |
gluing the molecular machinery in place, | 0:54:01 | 0:54:04 | |
which preserves its information. | 0:54:04 | 0:54:06 | |
Other immortalists preserve brains to try to revive them in the future. | 0:54:09 | 0:54:14 | |
Ken's plan relies on trying to preserve the information | 0:54:14 | 0:54:17 | |
he believes lies in the connectome. | 0:54:17 | 0:54:20 | |
If I am looking down at these electron micrographs | 0:54:22 | 0:54:26 | |
and I see that basic connectivity, | 0:54:26 | 0:54:29 | |
the synaptic connection between two neurons, | 0:54:29 | 0:54:32 | |
then I can really be quite sure | 0:54:32 | 0:54:35 | |
that the function or memories that that piece of brain tissue encoded | 0:54:35 | 0:54:42 | |
is still there. | 0:54:42 | 0:54:44 | |
Dr McIntyre's method does preserve connections between neurons | 0:54:44 | 0:54:49 | |
but whether the connectome encodes memories | 0:54:49 | 0:54:52 | |
and whether they could be preserved is unknown. | 0:54:52 | 0:54:55 | |
But Ken believes a method like this | 0:54:56 | 0:54:59 | |
will soon let him travel into the future. | 0:54:59 | 0:55:02 | |
The preserved brain at this level should store all of those memories, | 0:55:02 | 0:55:08 | |
all of those personality traits | 0:55:08 | 0:55:10 | |
for thousands of years in storage. | 0:55:10 | 0:55:13 | |
That could allow imaging technologies of the future | 0:55:13 | 0:55:17 | |
to read off the connectome | 0:55:17 | 0:55:19 | |
and potentially simulate it. | 0:55:19 | 0:55:21 | |
If there was ever a reliable method, | 0:55:23 | 0:55:26 | |
Ken wants every hospital to offer the terminally ill | 0:55:26 | 0:55:30 | |
the option of preserving their brains, | 0:55:30 | 0:55:32 | |
even if it means choosing to die. | 0:55:32 | 0:55:36 | |
Let's say I am diagnosed with Alzheimer's. | 0:55:36 | 0:55:39 | |
It would make no sense whatsoever | 0:55:39 | 0:55:41 | |
to slowly, painfully be erased in front of all of my loved ones | 0:55:41 | 0:55:47 | |
until I finally have my heart stop. | 0:55:47 | 0:55:50 | |
It would make much more sense | 0:55:50 | 0:55:52 | |
to say, "We've got to intervene before you are erased. | 0:55:52 | 0:55:59 | |
"We've got to intervene." | 0:55:59 | 0:56:01 | |
And that intervention is in the form of | 0:56:01 | 0:56:04 | |
preserving the brain structures before they get destroyed, | 0:56:04 | 0:56:10 | |
with the legitimate hope that a century from now | 0:56:10 | 0:56:15 | |
science will advance to bring you back. | 0:56:15 | 0:56:18 | |
Across the world, the immortalists are gathering strength. | 0:56:25 | 0:56:28 | |
Their case is built on many profound unknowns | 0:56:30 | 0:56:33 | |
but neuroscience cannot rule out the possibility | 0:56:33 | 0:56:37 | |
of uploading the mind. | 0:56:37 | 0:56:38 | |
The pathway that leads within new neuro-technologies | 0:56:40 | 0:56:45 | |
to our understanding of the brain | 0:56:45 | 0:56:46 | |
is the same pathway that could lead, theoretically, | 0:56:46 | 0:56:49 | |
to the possibility of mind uploading. | 0:56:49 | 0:56:52 | |
I do think that scientists that are involved in this method | 0:56:52 | 0:56:55 | |
have the responsibility to think ahead. | 0:56:55 | 0:56:59 | |
Mind uploading would usher in a world fraught with risk. | 0:56:59 | 0:57:04 | |
If you could replicate the mind | 0:57:04 | 0:57:06 | |
and upload it into a different material, | 0:57:06 | 0:57:08 | |
you can, in principle, clone minds. These are complicated issues | 0:57:08 | 0:57:11 | |
because they deal with the core of defining what is a person. | 0:57:11 | 0:57:16 | |
Rafael is on the Brain Initiative's ethics panel | 0:57:16 | 0:57:19 | |
that oversees how new technologies are used. | 0:57:19 | 0:57:23 | |
I would put the mind uploading in the list of the topics | 0:57:23 | 0:57:27 | |
that should be very carefully discussed and thought through. | 0:57:27 | 0:57:31 | |
I will answer you to the question of ethics | 0:57:33 | 0:57:39 | |
by the opinion which was given to me | 0:57:39 | 0:57:44 | |
by His Holiness the Dalai Lama | 0:57:44 | 0:57:46 | |
when I visited him in 2013. | 0:57:46 | 0:57:48 | |
So his point was that you can do everything | 0:57:48 | 0:57:53 | |
if your motivation is to help people. | 0:57:53 | 0:57:55 | |
Since the dawn of humankind, | 0:57:55 | 0:57:58 | |
impossible dreams of immortality have burned in the minds of some. | 0:57:58 | 0:58:02 | |
For the next few centuries, | 0:58:04 | 0:58:07 | |
I would envision having multiple bodies | 0:58:07 | 0:58:10 | |
and one probably would live in something like a traditional Earth. | 0:58:10 | 0:58:15 | |
The other body will be probably somewhere in space. | 0:58:15 | 0:58:18 | |
As the scientific search for the butterflies of the soul intensifies, | 0:58:20 | 0:58:25 | |
we are still to discover | 0:58:25 | 0:58:26 | |
if our consciousness could ever be replicated in a machine. | 0:58:26 | 0:58:30 | |
Another body would probably be hologram-like | 0:58:32 | 0:58:35 | |
and I envision my consciousness just moving from one to another. | 0:58:35 | 0:58:40 | |
We are now embarking on a journey into a very different world. | 0:58:41 | 0:58:45 | |
Whether we find we can live for ever in machines or not, | 0:58:46 | 0:58:50 | |
for some, the journey will certainly change what it is to be human. | 0:58:50 | 0:58:55 |