Sheila Nirenberg: A prosthetic eye to treat blindness

100,610 views ・ 2011-12-20

TED


请双击下面的英文字幕来播放视频。

翻译人员: Chunxiang Qian 校对人员: Ting Huang
00:15
I study how the brain processes
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我研究的是大脑如何处理信息
00:17
information. That is, how it takes
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也就是
00:19
information in from the outside world, and
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大脑如何接受外界信息
00:21
converts it into patterns of electrical activity,
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并把它转换成脑电活动模式
00:23
and then how it uses those patterns
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然后又如何利用那些模式
00:25
to allow you to do things --
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来控制行为-
00:27
to see, hear, to reach for an object.
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看,听,拿东西
00:29
So I'm really a basic scientist, not
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我是个理论基础科学家
00:31
a clinician, but in the last year and a half
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但在过去的一年半里
00:33
I've started to switch over, to use what
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我开始转变方向
00:35
we've been learning about these patterns
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利用对刚刚所说的模型的了解
00:37
of activity to develop prosthetic devices,
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来开发假体装置
00:40
and what I wanted to do today is show you
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我今天想给各位展示
00:42
an example of this.
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其中一个例子
00:44
It's really our first foray into this.
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这是我们对此做的第一个尝试
00:46
It's the development of a prosthetic device
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是一个用于治疗失明的
00:48
for treating blindness.
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假体装置
00:50
So let me start in on that problem.
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首先从失明这个问题谈起
00:52
There are 10 million people in the U.S.
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由于视网膜病变
00:54
and many more worldwide who are blind
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而全球失明的人数更多
00:56
or are facing blindness due to diseases
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他们因为视网膜的疾病
00:58
of the retina, diseases like
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或者黄斑部变性这样的问题失去视力
01:00
macular degeneration, and there's little
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然而,
01:02
that can be done for them.
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人们对此却无能为力
01:04
There are some drug treatments, but
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虽然有一些治疗性药物
01:06
they're only effective on a small fraction
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但它们只对很少一部分患者有效
01:08
of the population. And so, for the vast
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而对于大部分病人来说
01:10
majority of patients, their best hope for
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他们恢复视力的希望
01:12
regaining sight is through prosthetic devices.
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就得寄托于假体设备
01:14
The problem is that current prosthetics
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问题就是目前的假体效果并不好
01:16
don't work very well. They're still very
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这些假体仍然
01:18
limited in the vision that they can provide.
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他们提供的视觉范围还是很有限
01:20
And so, you know, for example, with these
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比如说
01:22
devices, patients can see simple things
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这些装置只能帮病人看到
01:24
like bright lights and high contrast edges,
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亮光和高对比度的轮廓
01:26
not very much more, so nothing close
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几乎没有其他影像
01:28
to normal vision has been possible.
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所以它们没办法让病人看到正常视觉范围的影像
01:31
So what I'm going to tell you about today
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今天我想告诉诸位的是
01:33
is a device that we've been working on
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我们正在研制的一个设备
01:35
that I think has the potential to make
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将有可能改变这一切
01:37
a difference, to be much more effective,
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这个设备将会更加有效
01:39
and what I wanted to do is show you
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我想在这里展示一下它的工作原理
01:41
how it works. Okay, so let me back up a
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首先我会讲一点背景知识
01:43
little bit and show you how a normal retina
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让大家了解一下正常视网膜的工作原理
01:45
works first so you can see the problem
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这样你就可以明白
01:47
that we were trying to solve.
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我们要解决的问题是什么
01:49
Here you have a retina.
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这是一个视网膜
01:51
So you have an image, a retina, and a brain.
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现在你可以看到一张图片,一个视网膜和大脑
01:53
So when you look at something, like this image
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当你看着面前的事物
01:55
of this baby's face, it goes into your eye
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比如这张婴儿的脸的图片
01:57
and it lands on your retina, on the front-end
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图像进入你的眼睛并停留在你的视网膜上,
01:59
cells here, the photoreceptors.
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它停留在视网膜的前端细胞上,也叫感光器
02:01
Then what happens is the retinal circuitry,
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然后视网膜的中间部分,即它的电路系统
02:03
the middle part, goes to work on it,
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就开始处理这个图像
02:05
and what it does is it performs operations
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它开始对图像进行操作,
02:07
on it, it extracts information from it, and it
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从图像中提取信息
02:09
converts that information into a code.
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然后把信息转换成代码
02:11
And the code is in the form of these patterns
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代码以电脉冲的形式
02:13
of electrical pulses that get sent
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送入大脑
02:15
up to the brain, and so the key thing is
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所以关键环节就是
02:17
that the image ultimately gets converted
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把图像转换成代码
02:19
into a code. And when I say code,
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我所说的代码
02:21
I do literally mean code.
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就是字面意思的代码
02:23
Like this pattern of pulses here actually means "baby's face,"
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就像这里的脉冲就是“婴儿脸”的意思
02:26
and so when the brain gets this pattern
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所以当大脑得到脉冲的模型
02:28
of pulses, it knows that what was out there
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就知道了
02:30
was a baby's face, and if it
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这是个婴儿的脸
02:32
got a different pattern it would know
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如果是不同的模型
02:34
that what was out there was, say, a dog,
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那它就知道是别的,比如一条狗
02:36
or another pattern would be a house.
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或者房子
02:38
Anyway, you get the idea.
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总之 就是这个意思
02:40
And, of course, in real life, it's all dynamic,
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当然现实生活是动态的
02:42
meaning that it's changing all the time,
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物体总是变化的
02:44
so the patterns of pulses are changing
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所以脉冲模型也一直变化
02:46
all the time because the world you're
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因为你看到的世界
02:48
looking at is changing all the time too.
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是一直在变化的
02:51
So, you know, it's sort of a complicated
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所以这就有点复杂了
02:53
thing. You have these patterns of pulses
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你的眼睛每一毫秒
02:55
coming out of your eye every millisecond
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都会发送不同的脉冲模型
02:57
telling your brain what it is that you're seeing.
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告诉大脑你看到的事物
02:59
So what happens when a person
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如果一个人
03:01
gets a retinal degenerative disease like
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的视网膜变性
03:03
macular degeneration? What happens is
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比如患上黄斑部变性,情况会怎么样呢?
03:05
is that, the front-end cells die,
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这时前端细胞就会死亡
03:07
the photoreceptors die, and over time,
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感光器死亡
03:09
all the cells and the circuits that are
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接着所有的细胞和联结这些细胞的组织
03:11
connected to them, they die too.
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都会死亡
03:13
Until the only things that you have left
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最后剩下的只有
03:15
are these cells here, the output cells,
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那些输出细胞
03:17
the ones that send the signals to the brain,
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就是那些把信号送入大脑的细胞
03:19
but because of all that degeneration
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但是因为这些变性
03:21
they aren't sending any signals anymore.
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那些细胞就没有信号可输出了
03:23
They aren't getting any input, so
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没有信号输入它们
03:25
the person's brain no longer gets
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人的大脑就失去了
03:27
any visual information --
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视觉信息
03:29
that is, he or she is blind.
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这样他就失明了
03:32
So, a solution to the problem, then,
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一个解决方案就是
03:34
would be to build a device that could mimic
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制造一个设备来模仿
03:36
the actions of that front-end circuitry
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前端细胞电路系统的功能
03:38
and send signals to the retina's output cells,
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把信号传给视网膜的输出细胞
03:40
and they can go back to doing their
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这样它们就能重新开始正常工作,
03:42
normal job of sending signals to the brain.
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把信号输入大脑
03:44
So this is what we've been working on,
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这是我们的研究
03:46
and this is what our prosthetic does.
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这就是我们制作的假体的功能
03:48
So it consists of two parts, what we call
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它由两部分组成
03:50
an encoder and a transducer.
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我们称为编码器和传感器
03:52
And so the encoder does just
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就像我之前提到的,编码器
03:54
what I was saying: it mimics the actions
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模仿前段细胞的功能-
03:56
of the front-end circuitry -- so it takes images
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接受图像,并把它转换成
03:58
in and converts them into the retina's code.
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视网膜能接受的编码
04:00
And then the transducer then makes the
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然后传感器使
04:02
output cells send the code on up
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输出细胞把编码
04:04
to the brain, and the result is
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送进大脑
04:06
a retinal prosthetic that can produce
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这样视网膜假体就能产生
04:09
normal retinal output.
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正常的视网膜输出
04:11
So a completely blind retina,
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因此一个完全失明的视网膜
04:13
even one with no front-end circuitry at all,
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即使前端细胞完全不能工作
04:15
no photoreceptors,
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没有感光器
04:17
can now send out normal signals,
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也能够输出正常信号
04:19
signals that the brain can understand.
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并且大脑能理解这些信号
04:22
So no other device has been able
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还没有其他的设备能
04:24
to do this.
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做到这点
04:26
Okay, so I just want to take
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下面
04:28
a sentence or two to say something about
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我简略说一下
04:30
the encoder and what it's doing, because
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编码器的功能
04:32
it's really the key part and it's
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因为这真的是个关键部分
04:34
sort of interesting and kind of cool.
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很有意思也很酷
04:36
I'm not sure "cool" is really the right word, but
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我也不知道该不该用“酷”形容
04:38
you know what I mean.
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不过就是那个意思
04:40
So what it's doing is, it's replacing
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它的功能就是
04:42
the retinal circuitry, really the guts of
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用一套方程式来替代视网膜电路系统
04:44
the retinal circuitry, with a set of equations,
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而且是它最重要的部分
04:46
a set of equations that we can implement
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我们可以把这些方程式植入芯片中
04:48
on a chip. So it's just math.
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所以这其实就是数学
04:50
In other words, we're not literally replacing
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也就是说我们没有
04:53
the components of the retina.
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真的换掉视网膜的构成部分
04:55
It's not like we're making a little mini-device
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不是说我们做了个迷你设备
04:57
for each of the different cell types.
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来替代每一个不同的细胞
04:59
We've just abstracted what the
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我们只是用方程式
05:01
retina's doing with a set of equations.
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来提取视网膜的工作原理
05:03
And so, in a way, the equations are serving
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这样,这些方程式的功能就
05:05
as sort of a codebook. An image comes in,
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类似于密码本
05:07
goes through the set of equations,
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一个图像穿过方程式
05:10
and out comes streams of electrical pulses,
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变成一串电脉冲
05:12
just like a normal retina would produce.
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就像正常视网膜所产生的效果一样
05:16
Now let me put my money
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下面我就来用
05:18
where my mouth is and show you that
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实际行动展示一下
05:20
we can actually produce normal output,
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证明我们确实能够产生输出信号
05:22
and what the implications of this are.
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以及这么做的意义
05:24
Here are three sets of
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这是三个放电模型
05:26
firing patterns. The top one is from
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最上面的来自
05:28
a normal animal, the middle one is from
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一个正常动物
05:30
a blind animal that's been treated with
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中间的来自一支使用编码传感设备的
05:32
this encoder-transducer device, and the
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失明的动物
05:34
bottom one is from a blind animal treated
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最下面的来自一个使用标准假体的
05:36
with a standard prosthetic.
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失明动物
05:38
So the bottom one is the state-of-the-art
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最下面是目前能找到的
05:40
device that's out there right now, which is
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最尖端的科技设备
05:42
basically made up of light detectors,
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主要就是由光探测器组成的
05:44
but no encoder. So what we did was we
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但是没有编码器
05:46
presented movies of everyday things --
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我们做的就是把日常事物-
05:48
people, babies, park benches,
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人,婴儿,公园座椅等
05:50
you know, regular things happening -- and
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这些日常生活中的东西给它们看
05:52
we recorded the responses from the retinas
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然后记录下三组动物视网膜
05:54
of these three groups of animals.
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的不同反应
05:56
Now just to orient you, each box is showing
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首先要说明的是,每个长方形都表示
05:58
the firing patterns of several cells,
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几个细胞的放电模型
06:00
and just as in the previous slides,
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和前几张幻灯片中一样
06:02
each row is a different cell,
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每一行是一个不同的细胞
06:04
and I just made the pulses a little bit smaller
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我把脉冲做得更小更细
06:06
and thinner so I could show you
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这样你可以看到
06:09
a long stretch of data.
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更详细的数据
06:11
So as you can see, the firing patterns
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如图所示
06:13
from the blind animal treated with
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使用编码传感器设备的
06:15
the encoder-transducer really do very
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失明动物的模型能够
06:17
closely match the normal firing patterns --
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很好地与正常模型吻合-
06:19
and it's not perfect, but it's pretty good --
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虽不完美但已经很好了-
06:21
and the blind animal treated with
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而使用普通假体的
06:23
the standard prosthetic,
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失明动物的模型
06:25
the responses really don't.
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效果就不行
06:27
And so with the standard method,
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用普通假体的时候
06:30
the cells do fire, they just don't fire
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细胞的确可以放电
06:32
in the normal firing patterns because
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但是并不是以正常的放电方式进行
06:34
they don't have the right code.
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因为它们没有正确的编码
06:36
How important is this?
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编码有多重要呢?
06:38
What's the potential impact
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它对病人的视力
06:40
on a patient's ability to see?
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有多大潜在影响?
06:43
So I'm just going to show you one
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我会向各位展示一个
06:45
bottom-line experiment that answers this,
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基础实验来回来这个问题
06:47
and of course I've got a lot of other data,
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当然我还有别的数据
06:49
so if you're interested I'm happy
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如果你有兴趣
06:51
to show more. So the experiment
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我可以展示更多
06:53
is called a reconstruction experiment.
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这实验被称作重建实验
06:55
So what we did is we took a moment
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我们从记录里
06:57
in time from these recordings and asked,
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截取某一刻
07:00
what was the retina seeing at that moment?
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看看那一刻视网膜都看到了什么?
07:02
Can we reconstruct what the retina
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我们能不能重建
07:04
was seeing from the responses
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视网膜从那三种放电模型中
07:06
from the firing patterns?
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看到的东西?
07:08
So, when we did this for responses
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我们对普通假体
07:11
from the standard method and from
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和编码传感器的反应
07:14
our encoder and transducer.
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各做了实验
07:16
So let me show you, and I'm going to
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首先我来说明
07:18
start with the standard method first.
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普通假体的实验结果
07:20
So you can see that it's pretty limited,
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可以看出效果很有限
07:22
and because the firing patterns aren't
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因为放电模型没有正确编码
07:24
in the right code, they're very limited in
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所以它很难看出来
07:26
what they can tell you about
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究竟是什么图像
07:28
what's out there. So you can see that
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你可以看到
07:30
there's something there, but it's not so clear
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那里是有些什么东西,但是不清楚到底是什么
07:32
what that something is, and this just sort of
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这又回到了
07:34
circles back to what I was saying in the
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我在开头的时候说的
07:36
beginning, that with the standard method,
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关于普通假体的问题
07:38
patients can see high-contrast edges, they
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安装普通假体的病人可以看到高对比度的轮廓
07:40
can see light, but it doesn't easily go
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他们能看见亮光
07:42
further than that. So what was
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但是仅此而已
07:44
the image? It was a baby's face.
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到底是什么图像?是婴儿的脸
07:47
So what about with our approach,
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我们加入了编码后的方法
07:49
adding the code? And you can see
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是什么效果呢?
07:51
that it's much better. Not only can you
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你可以看出来,效果好多了
07:53
tell that it's a baby's face, but you can
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你不仅能看出是婴儿的脸
07:55
tell that it's this baby's face, which is a
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而且还能看清是这样一个孩子的脸
07:57
really challenging task.
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这真是个很具挑战性的任务
07:59
So on the left is the encoder
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左边是单用编码器的结果
08:01
alone, and on the right is from an actual
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右边是一个实际的失明视网膜
08:03
blind retina, so the encoder and the transducer.
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和编码传感器™
08:05
But the key one really is the encoder alone,
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但是最关键的就是编码器
08:07
because we can team up the encoder with
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因为我们可以把不同的传感器和
08:09
the different transducer.
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编码器结合起来
08:11
This is just actually the first one that we tried.
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这是仅仅是我们尝试的头一个
08:13
I just wanted to say something about the standard method.
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我想说一些关于普通假体的问题
08:15
When this first came out, it was just a really
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它刚刚面世的时候
08:17
exciting thing, the idea that you
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确实令人振奋
08:19
even make a blind retina respond at all.
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因为这能让一个失明的视网膜有反应
08:22
But there was this limiting factor,
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但是缺陷就
08:25
the issue of the code, and how to make
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在于编码
08:27
the cells respond better,
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怎样才能让细胞更好地反应
08:29
produce normal responses,
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产生正常的反应
08:31
and so this was our contribution.
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这就是我们作出的贡献
08:33
Now I just want to wrap up,
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现在我总结一下
08:35
and as I was mentioning earlier
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就像我之前说的那样
08:37
of course I have a lot of other data
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如果你感兴趣的话
08:39
if you're interested, but I just wanted to give
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我还有很多其他数据
08:41
this sort of basic idea
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这里我只简单地说一下
08:43
of being able to communicate
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这种可以用自己的语言
08:46
with the brain in its language, and
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和大脑交流的方法
08:48
the potential power of being able to do that.
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以及这个方法的潜在力量
08:51
So it's different from the motor prosthetics
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这跟运动修复术不同
08:53
where you're communicating from the brain
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运动修复术是把大脑的指令
08:55
to a device. Here we have to communicate
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传递给一个设备
08:57
from the outside world
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而我们是要把外界信息
08:59
into the brain and be understood,
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输入大脑
09:01
and be understood by the brain.
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并且要使其被大脑理解
09:03
And then the last thing I wanted
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最后我想
09:05
to say, really, is to emphasize
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强调一下的
09:07
that the idea generalizes.
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是这个方法是广泛适用的
09:09
So the same strategy that we used
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我们用来研究视网膜编码的技术
09:11
to find the code for the retina we can also
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同样也可以
09:13
use to find the code for other areas,
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用于研究其他领域
09:15
for example, the auditory system and
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比如听觉系统
09:17
the motor system, so for treating deafness
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和运动系统,已解决听力障碍
09:19
and for motor disorders.
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和四肢运动障碍
09:21
So just the same way that we were able to
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其原理跟我们
09:23
jump over the damaged
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绕过受损的视网膜电路系统
09:25
circuitry in the retina to get to the retina's
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直接进入视网膜输出细胞一样
09:27
output cells, we can jump over the
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我们也可以绕过
09:29
damaged circuitry in the cochlea
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损坏的耳蜗电路系统
09:31
to get the auditory nerve,
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直达听神经
09:33
or jump over damaged areas in the cortex,
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或者绕开运动皮质里坏死的区域
09:35
in the motor cortex, to bridge the gap
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来消除中风带来的
09:38
produced by a stroke.
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损害
09:40
I just want to end with a simple
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最后
09:42
message that understanding the code
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我想说掌握代码
09:44
is really, really important, and if we
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非常非常重要
09:46
can understand the code,
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如果我们能掌握代码
09:48
the language of the brain, things become
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也就是大脑的语言
09:50
possible that didn't seem obviously
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一切都豁然开朗
09:52
possible before. Thank you.
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谢谢
09:54
(Applause)
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(掌声)
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