Miguel Nicolelis: A monkey that controls a robot with its thoughts. No, really.

247,355 views ・ 2013-02-18

TED


Tafadhali bofya mara mbili manukuu ya Kiingereza hapa chini ili kucheza video.

00:00
Translator: Timothy Covell Reviewer: Morton Bast
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Translator: David Mvoi Reviewer: Joachim Mangilima
00:15
The kind of neuroscience that I do and my colleagues do
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Hii sayansi ya ubongo ninayofanya na wenzangu
00:18
is almost like the weatherman.
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ni kama mtabiri wa hali ya hewa.
00:20
We are always chasing storms.
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Tunakimbizana na dhoruba kila wakati.
00:24
We want to see and measure storms -- brainstorms, that is.
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Tunataka kuona na kupima dhoruba--namaanisha dhoruba za ubongo.
00:29
And we all talk about brainstorms in our daily lives,
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Sisi sote huongea kuhusu dhoruba za ubongo maishani mwetu
00:31
but we rarely see or listen to one.
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lakini ni nadra kuona au kuisikia mojawapo.
00:35
So I always like to start these talks
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Hivyo basi mimi hupenda kuanza mazungumzo haya
00:36
by actually introducing you to one of them.
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kwa kuwatambulisheni kwa mojawapo.
00:39
Actually, the first time we recorded more than one neuron --
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Kusema kweli, mara yetu ya kwanza kupima zaidi ya neuron moja--
00:43
a hundred brain cells simultaneously --
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seli za ubongo mia moja kwa wakati mmoja--
00:45
we could measure the electrical sparks
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tungeweza pima cheche za umeme
00:48
of a hundred cells in the same animal,
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za seli mia moja kutoka kwa mnyama mmoja,
00:50
this is the first image we got,
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hii ndio picha ya kwanza tuliyopata,
00:52
the first 10 seconds of this recording.
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sekunde kumi za kwanza za rekodi hii.
00:54
So we got a little snippet of a thought,
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Sasa tukajaribu kufikiria,
00:58
and we could see it in front of us.
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na tukaweza kuiona mbele yetu.
01:01
I always tell the students
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mimi huwaambia wanafunzi
01:02
that we could also call neuroscientists some sort of astronomer,
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kuwa tunaweza waita wanasayansi wa ubongo kama pia wataalam wa anga,
01:06
because we are dealing with a system
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kwa sababu tunakabiliana na mfumo
01:07
that is only comparable in terms of number of cells
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ambao unalingana kwa ncha ya nambari ya viini
01:10
to the number of galaxies that we have in the universe.
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na nambari za galaksi tulizo nazo ulimwenguni.
01:13
And here we are, out of billions of neurons,
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Kwa hivyo hapa ndipo tulipo, katika mabilioni ya neuroni,
01:16
just recording, 10 years ago, a hundred.
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tukirekodi tu, miaka kumi iliyopita, alafu mia moja.
01:19
We are doing a thousand now.
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Sasa hivi tunarekodi hadi miaka elfu moja.
01:21
And we hope to understand something fundamental about our human nature.
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Na tunatumai kuelewa cha msingi kuhusu asili yetu ya kibinadamu.
01:26
Because, if you don't know yet,
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Kwa sababu, kama bado hujui,
01:28
everything that we use to define what human nature is comes from these storms,
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kila kitu tunachotumia kutambua asili ya binadamu kimetoka katika dhoruba hizi,
01:33
comes from these storms that roll over the hills and valleys of our brains
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katika dhoruba zishukazo kutoka milima na mabonde ya akili zetu
01:38
and define our memories, our beliefs,
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na ambazo zinaeleza kumbukumbu zetu, imani zetu,
01:42
our feelings, our plans for the future.
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hisia zetu, mipango yetu ya siku za usoni.
01:44
Everything that we ever do,
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Kila kitu tunachofanya,
01:47
everything that every human has ever done, do or will do,
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kila kitu ambacho binadamu amekifanya, anakifanya ama atakifanya,
01:52
requires the toil of populations of neurons producing these kinds of storms.
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kinahitaji bidii ya idadi kubwa ya neuroni zinazozalisha dhoruba hizi.
01:57
And the sound of a brainstorm, if you've never heard one,
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Na sauti ya dhoruba ya ubongo, kama hujawaisikia moja,
02:00
is somewhat like this.
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huwa hivi.
02:03
You can put it louder if you can.
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Unaweza ongeza sauti kama waweza.
02:06
My son calls this "making popcorn while listening to a badly-tuned A.M. station."
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Mwanangu huiita "kutengeneza popcorn huku ukiskiza kituo cha redio kilichoegezwa vibaya."
02:13
This is a brain.
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Huu ni ubongo.
02:14
This is what happens when you route these electrical storms to a loudspeaker
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Haya ndiyo yanayotokea unapoelekeza dhoruba hizi za umeme kwenye kipaza sauti
02:18
and you listen to a hundred brain cells firing,
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na usikie seli mia moja vya ubongo vikirushwa,
02:20
your brain will sound like this -- my brain, any brain.
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haya ndiyo yatakayosikika katika ubongo wako--ubongo wangu, na ubongo wowote.
02:25
And what we want to do as neuroscientists in this time
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Kile tunachotaka kufanya kama wanasayansi ya ubongo katika wakati huu
02:29
is to actually listen to these symphonies, these brain symphonies,
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ni kuskiza kwa makini sauti hizi, sauti hizi za ubongo,
02:34
and try to extract from them the messages they carry.
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na kujaribu kudondoa zile jumbe zinazobeba
02:38
In particular, about 12 years ago
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Haswa, takriban miaka kumi na mbili iliyopita
02:40
we created a preparation that we named brain-machine interfaces.
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tulitengeneza muundo tuliouita mashine ya akili.
02:44
And you have a scheme here that describes how it works.
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Na hapa una mpango unaoeleza vile inavyotumika.
02:46
The idea is, let's have some sensors that listen to these storms, this electrical firing,
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Lengo ni, tuwe na vitega hisia vinavyosikiza dhoruba hizi, vile umeme unavyozalishwa,
02:52
and see if you can, in the same time that it takes
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na kuona kama inawezekana, kwa wakati huo huo wakati unaopita
02:55
for this storm to leave the brain and reach the legs or the arms of an animal --
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kabla ya dhoruba hii kutoka kwa akili na kufika kwenye miguu ama mikono ya mnyama
03:00
about half a second --
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kama nusu sekunde--
03:03
let's see if we can read these signals,
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wacha tuone kama tunaweza kusoma ishara hizi,
03:05
extract the motor messages that are embedded in it,
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kudondoa jumbe za ubongo inazobeba,
03:08
translate it into digital commands
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kuitafsiri iwe amri za kikompyuta
03:11
and send it to an artificial device
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na kuituma hadi kwenye kifaa kilichoundwa na binadamu
03:13
that will reproduce the voluntary motor wheel of that brain in real time.
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kitakachozalisha ule mzunguko hiari wa akili wakati ule ule.
03:19
And see if we can measure how well we can translate that message
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tuone kama tunaweza kupima ni vipi tunaweza tafsiri ujumbe huo vyema zaidi
03:22
when we compare to the way the body does that.
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wakati tunapolinganisha na vile mwili unavyofanya kazi hio.
03:26
And if we can actually provide feedback,
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Wakati tunapotoa maoni,
03:29
sensory signals that go back from this robotic, mechanical, computational actuator
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viashiria hisia
03:34
that is now under the control of the brain,
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sasa iliyo chini ya udhibiti wa ubongo,
03:37
back to the brain,
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hadi tena kwa ubongo,
03:38
how the brain deals with that,
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vile ubongo unavyokabiliana na kazi hiyo,
03:40
of receiving messages from an artificial piece of machinery.
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ya kupokea jumbe kutoka mashine zilizoundwa na binadamu
03:45
And that's exactly what we did 10 years ago.
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Na ndivyo haswa tulivyofanya miaka kumi iliyopita.
03:47
We started with a superstar monkey called Aurora
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Tulianza na nyani nyota kwa jina Aurora
03:50
that became one of the superstars of this field.
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aliyekuwa nyota kwenye eneo hili.
03:53
And Aurora liked to play video games.
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Na Aurora alipenda kucheza michezo ya kompyuta.
03:55
As you can see here,
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Mnavyoona hapa,
03:56
she likes to use a joystick, like any one of us, any of our kids, to play this game.
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anapenda kutumia kijiti, kama vile kila mmoja wetu, na watoto wetu, kucheza mchezo huu.
04:01
And as a good primate, she even tries to cheat before she gets the right answer.
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Kama mnyama mwerevu, anajaribu kudanganya kabla afikie jibu sahihi.
04:06
So even before a target appears that she's supposed to cross
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Kwa hivyo kabla ya hatua anayopaswa kupita
04:10
with the cursor that she's controlling with this joystick,
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akitumia mshale anaodhibiti kwa kijiti,
04:13
Aurora is trying to find the target, no matter where it is.
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Aurora anajaribu kufikia hatua, popote ilipo.
04:17
And if she's doing that,
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Na anapofanya hivyo,
04:19
because every time she crosses that target with the little cursor,
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kwa sababu kila wakati anapovuka hatua akitumia ule mshale mdogo,
04:22
she gets a drop of Brazilian orange juice.
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anapata tone la juisi ya machungwa.
04:25
And I can tell you, any monkey will do anything for you
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nakuambia, nyani yeyote atakufanyia chochote
04:28
if you get a little drop of Brazilian orange juice.
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kama utampa tone la juisi ya machungwa.
04:31
Actually any primate will do that.
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Kwa kweli mnyama yeyote anaweza kufanya hivyo.
04:34
Think about that.
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Hebu tafakari hayo.
04:35
Well, while Aurora was playing this game, as you saw,
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Hivyo basi, wakati Aurora alikuwa akicheza mchezo huu, vile mlivyoona,
04:38
and doing a thousand trials a day
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na kufanya majaribio elfu moja kwa siku
04:41
and getting 97 percent correct and 350 milliliters of orange juice,
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na kupata asilimia tisini na saba sahihi na milimita mia tatu na hamsini za juisi ya machungwa,
04:45
we are recording the brainstorms that are produced in her head
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tunarekodi dhorubaza ubongo zitokazo kichwani mwake
04:48
and sending them to a robotic arm
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na kuzituma kwenye mkanda wa mashine
04:50
that was learning to reproduce the movements that Aurora was making.
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unaotoa zile dhoruba haswa Aurora alikuwa akitoa.
04:54
Because the idea was to actually turn on this brain-machine interface
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Kwa sababu wazo lilikuwa ni kuwasha hii mashine ya ubongo
04:57
and have Aurora play the game just by thinking,
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na kuona Aurora akicheza mchezo ule kwa kufikiria tu,
05:02
without interference of her body.
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bila mwili wake kuingilia kati.
05:05
Her brainstorms would control an arm
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Dhoruba zake za akili zitadhibiti mkono
05:08
that would move the cursor and cross the target.
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utakaosogeza ule mshale na kuvuka hatua.
05:10
And to our shock, that's exactly what Aurora did.
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Na kwa mshangao wetu, hivyo haswa ndivyo Aurora alifanya.
05:14
She played the game without moving her body.
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Alicheza mchezo huo bila kusogeza mwili wake.
05:18
So every trajectory that you see of the cursor now,
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Hivyo basi kila msogezo unaoona sasa kwenye kijiti
05:20
this is the exact first moment she got that.
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hivyo ndivyo haswa alivyofanya mara ya kwanza.
05:23
That's the exact first moment
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Hiyo ndiyo ilikuwa mara ya kwanza
05:25
a brain intention was liberated from the physical domains of a body of a primate
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nia kwenye ubongo ilitolewa kutoka kwenye mwili wa nyani
05:32
and could act outside, in that outside world,
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na iliweza kufanya kazi nje ya mwili, hapa ulimwengu wa nje,
05:35
just by controlling an artificial device.
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kwa kudhibiti mashine.
05:38
And Aurora kept playing the game, kept finding the little target
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Na Aurora aliendelea kucheza mchezo huo, aliendelea kufikia ile hatua
05:43
and getting the orange juice that she wanted to get, that she craved for.
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na kupata juisi ya machungwa aliyotaka, aliyotamani.
05:47
Well, she did that because she, at that time, had acquired a new arm.
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Kwa kweli, alifanya hivyo kwa sababu, wakati ule, yeye alipata mkono mpya.
05:54
The robotic arm that you see moving here 30 days later,
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Mkono ule wa roboti unaoona ukitembea hapa siku thelathini baadaye,
05:57
after the first video that I showed to you,
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baada ya ile video ya kwanza niliyowaonyesheni,
06:00
is under the control of Aurora's brain
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uko chini ya udhibiti wa ubongo ya Aurora
06:02
and is moving the cursor to get to the target.
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na unasongeza mshale ule ili kufikia ile hatua.
06:05
And Aurora now knows that she can play the game with this robotic arm,
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Na Aurora sana anajua kuwa anaweza kucheza mchezo huu akitumia mkono mashine,
06:09
but she has not lost the ability to use her biological arms to do what she pleases.
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lakini hajapoteza uwezo wa kutumia mkono wake asili kwa chochote angependa kufanya.
06:15
She can scratch her back, she can scratch one of us, she can play another game.
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Anaweza kujikuna mgongo, anaweza kukuna mmoja wetu, anaweza kucheza mchezo wowote mwingine.
06:19
By all purposes and means,
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Kwa nia zote na madhumuni,
06:21
Aurora's brain has incorporated that artificial device
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akili ya Aurora imehusisha kile kifaa bandia
06:25
as an extension of her body.
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kama muendelezo wa mwili wake.
06:28
The model of the self that Aurora had in her mind
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Huu mfano wa ubinafsi ambao Aurora alikuwa nao kwa akili yake
06:31
has been expanded to get one more arm.
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umepanuliwa kupata mkono mmoja zaidi.
06:35
Well, we did that 10 years ago.
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Tulifanya hivyo miaka kumi iliyopita.
06:38
Just fast forward 10 years.
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Sasa songea mbele miaka kumi.
06:40
Just last year we realized that you don't even need to have a robotic device.
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Mwaka uliopita tu tuligundua kuwa huhutaji kuwa na kifaa cha mashine.
06:45
You can just build a computational body, an avatar, a monkey avatar.
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Unaweza tu kutengeneza kifaa cha kompyuta.
06:51
And you can actually use it for our monkeys to either interact with them,
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Na unaweza kuitumia kwa nyani zetu kuleta uhusiano kati yao
06:55
or you can train them to assume in a virtual world
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ama unaweza wafunza kudhania ulimwengu gushi
07:00
the first-person perspective of that avatar
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maono ya mtu kuhusiana na mashine ile
07:03
and use her brain activity to control the movements of the avatar's arms or legs.
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na kutumia msisimko wa akili yake kudhibiti matembezi ya mikono na miguu ya mashine.
07:08
And what we did basically was to train the animals
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Na cha msingi tulichofanya kilikuwa kufunza hawa wanyama
07:11
to learn how to control these avatars
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njia ya kudhiiti mashine hizi
07:14
and explore objects that appear in the virtual world.
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na kuchunguza vidude vinavyojitokeza katika ulimwengu gushi.
07:18
And these objects are visually identical,
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Na vidude hivi vimefanana
07:20
but when the avatar crosses the surface of these objects,
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lakini wakati mashine inapovuka mbele ya vidude hivi,
07:24
they send an electrical message that is proportional to the microtactile texture of the object
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zinatuma ujumbe wa umeme uliyosawia na uso wa kile kidude
07:31
that goes back directly to the monkey's brain,
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ambao unaenda moja kwa moja hadi kwenye ubongo wa nyani,
07:35
informing the brain what it is the avatar is touching.
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ukieleza ubongo kile hasa machine ile inagusa.
07:40
And in just four weeks, the brain learns to process this new sensation
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Na kwa muda wa wiki nne tu, akili inajifunza kuhisi hii hisia mpya
07:44
and acquires a new sensory pathway -- like a new sense.
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na inapata njia mpya ya hisia--kama hisia mpya.
07:51
And you truly liberate the brain now
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Sasa unaiacha akili iwe huru
07:53
because you are allowing the brain to send motor commands to move this avatar.
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kwa sababu unaikubali akili kutuma jumbe ili kuthibiti mashine hii.
07:58
And the feedback that comes from the avatar is being processed directly by the brain
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Na maoni yanayotoka kwenye mashine yanachanganuliwa kwenye ubongo moja kwa moja
08:03
without the interference of the skin.
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bila ya ngozi kuingilia kati.
08:05
So what you see here is this is the design of the task.
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Kwa hivyo kile mnachoona hapa ni ule ubunifu wa kazi ile.
08:08
You're going to see an animal basically touching these three targets.
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Mtaweza kuona mnyama akigusa sehemu au hatua hizi tatu.
08:12
And he has to select one because only one carries the reward,
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Lazima achague moja kwa vile ni moja pekee inayoelekea palipo na zawadi,
08:16
the orange juice that they want to get.
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ile juisi ya machungwa ambayo wanayoitaka.
08:18
And he has to select it by touch using a virtual arm, an arm that doesn't exist.
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Na inambidi aichague kwa mguso akitumia mkono gushi, mkono amao haupo.
08:24
And that's exactly what they do.
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Na hivyo ndivyo hasa wanavyofanya.
08:26
This is a complete liberation of the brain
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Huu ni uhuru kamili wa akili
08:29
from the physical constraints of the body and the motor in a perceptual task.
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kutokana na vikwazo vya kimwili na kazi ya akili ya kuona.
08:33
The animal is controlling the avatar to touch the targets.
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Yule mnyama anathibiti mashine ile kugusa malengo hayo.
08:38
And he's sensing the texture by receiving an electrical message directly in the brain.
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Na anahisi vile ilivyo kwa kupokea ujumbe umeme moja kwa moja kwenye ubongo.
08:43
And the brain is deciding what is the texture associated with the reward.
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Na huo ubongo unaamua ni hisia ipi inayoashiria ile zawadi.
08:47
The legends that you see in the movie don't appear for the monkey.
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Wale wakongwe uwaonao kwenye filamu hawawakilishi nyani huyu.
08:51
And by the way, they don't read English anyway,
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Na kusema kweli, hata hawawezi kusoma Kiingereza,
08:53
so they are here just for you to know that the correct target is shifting position.
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kwa hivyo wako hapa kuwaonyesheni ya kwamba lengo sahihi linabadilika badilika.
08:59
And yet, they can find them by tactile discrimination,
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Hata hivyo, wanawezazipata kwa kubagua,
09:03
and they can press it and select it.
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na wanawezazibonyeza na kuzichagua.
09:06
So when we look at the brains of these animals,
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Hivyo basi tunapoangalia bongo za wanyama hawa,
09:08
on the top panel you see the alignment of 125 cells
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katika sehemu ya juu mtaona mpangilio wa viini mia na ishirini na tano
09:12
showing what happens with the brain activity, the electrical storms,
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vikionyesha kile kinachotokea kwenye ubongo, zile dhoruba umeme,
09:16
of this sample of neurons in the brain
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za sampuli hii ya neuron kwenye ubongo
09:18
when the animal is using a joystick.
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wakati mnyama huyo anatumia kijiti.
09:21
And that's a picture that every neurophysiologist knows.
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Na hiyo ndio picha kila mwanafiziolojia ayoinajua.
09:23
The basic alignment shows that these cells are coding for all possible directions.
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Mpangilio wa kimsingi unaonyesha kuwa viini hivi vinafuata kila mwelekeo.
09:28
The bottom picture is what happens when the body stops moving
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Picha iliyo chini inaonyesha kinachotokea wakati mwili uachapo kusongea
09:34
and the animal starts controlling either a robotic device or a computational avatar.
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na yule mnyama aanzapo kuthibiti kidude cha roboti ama mashine ya kikompyuta.
09:40
As fast as we can reset our computers,
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Kwa kasi ile ile tunayoweza kubadilisha kompyuta zetu,
09:43
the brain activity shifts to start representing this new tool,
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kazi inayoendelea akilini hubadilika ili kuwakilisha kifaa hiki kipya,
09:49
as if this too was a part of that primate's body.
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kana kwamba ilikuwa sehemu ya mwili wa mnyama huyo.
09:54
The brain is assimilating that too, as fast as we can measure.
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Akili inaichanganua pia, kwa kasi ile ile tunayopima nayo.
09:59
So that suggests to us that our sense of self
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Hiyo inatuashiria kuwa hisia za kibinafsi
10:03
does not end at the last layer of the epithelium of our bodies,
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haziishi kwenye safu ya mwisho ya ngozi ya miili yetu,
10:07
but it ends at the last layer of electrons of the tools that we're commanding with our brains.
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bali inaisha kwenye safu ya mwisho ya electroni za vifaa tunavyotumia akili zetu kuvithibiti.
10:12
Our violins, our cars, our bicycles, our soccer balls, our clothing --
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Vayolini zetu, magari yetu, baiskeli zetu, mipira yetu ya kandanda, nguo zetu
10:17
they all become assimilated by this voracious, amazing, dynamic system called the brain.
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zote zinabadilishwa na hiki chombo thabiti, huu mfumo badilifu unaoitwa ubongo.
10:24
How far can we take it?
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Ni umbali upi tunaoweza kuipeleka?
10:26
Well, in an experiment that we ran a few years ago, we took this to the limit.
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Katika jaribio tulilofanya miaka chache iliyopita, tuliipeleka hadi kikomo.
10:30
We had an animal running on a treadmill
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Tulikuwa na mnyama aliyekimbia kwenye baiskeli zoezi
10:32
at Duke University on the East Coast of the United States,
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katika chuo kikuu cha Duke katika mashariki ya pwani ya Marekani,
10:35
producing the brainstorms necessary to move.
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ikizalisha dhoruba bongo zinazohitajika kusonga.
10:37
And we had a robotic device, a humanoid robot,
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Na tukawa na chombo cha roboti, roboti ya kibinadamu,
10:42
in Kyoto, Japan at ATR Laboratories
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huko Kyoto, Ujapani katika maabara ya ATR
10:44
that was dreaming its entire life to be controlled by a brain,
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iliyopanga maisha yake yote kuthibitiwa na ubongo,
10:50
a human brain, or a primate brain.
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akili ya binadamu, ama ya mnyama.
10:53
What happens here is that the brain activity that generated the movements in the monkey
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Kile kinachotokea hapa ni kwamba shighuli katika ubongo uliozalisha msongeo katika nyani huyo
10:58
was transmitted to Japan and made this robot walk
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ulisambazwa hadi Ujapani na ukafanya roboti kutembea
11:01
while footage of this walking was sent back to Duke,
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na ukanda ya matembezi haya ukapelekwa hadi Duke,
11:05
so that the monkey could see the legs of this robot walking in front of her.
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ili nyani huyo aone miguu ya yule roboti ikitembea mbele yake.
11:11
So she could be rewarded, not by what her body was doing
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Ilmradi azawadiwe, sio kwa kile mwili wake ulikuwa ukifanya
11:15
but for every correct step of the robot on the other side of the planet
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bali kwa kila hatua sahihi iliyochukuliwa na roboti aliyekuwa sehemu ya pili ya ulimwengu
11:20
controlled by her brain activity.
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ikithibitiwa na shughuli ya akili yake.
11:22
Funny thing, that round trip around the globe took 20 milliseconds less
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Cha kuchekesha ni kwamba, safari hiyo ilichukua milisekunde ishirini chini
11:29
than it takes for that brainstorm to leave its head, the head of the monkey,
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ya wakati dhoruba bongo inayochukua kutoka kichwani mwake, kichwa cha nyani,
11:34
and reach its own muscle.
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hadi kwenye msuli wake.
11:37
The monkey was moving a robot that was six times bigger, across the planet.
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Nyani alikuwa akisongeza roboti iliyokuwa na ukubwa mara sita wake yeye, kutoka sehemu moja ya ulimwengu hadi nyengine.
11:43
This is one of the experiments in which that robot was able to walk autonomously.
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Hii ni moja wapo ya majaribio ambapo roboti iliweza kutembea bila usaidizi.
11:50
This is CB1 fulfilling its dream in Japan
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Hii ni CB1 ikitimiza ndoto yake Ujapani
11:55
under the control of the brain activity of a primate.
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chini ya uthibiti wa shughuli ya ubongo wa mnyama.
11:59
So where are we taking all this?
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Kwa hivyo ni wapi tunapopeleka haya yote?
12:01
What are we going to do with all this research,
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Ni wapi tunapoenda na huu utafiti,
12:03
besides studying the properties of this dynamic universe that we have between our ears?
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kando na kusomea tabia za ulimwengu huu badilifu tulionao katikati ya masikio yetu?
12:09
Well the idea is to take all this knowledge and technology
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Nia yetu ni kutumia usomi huu na teknolojia hii
12:14
and try to restore one of the most severe neurological problems that we have in the world.
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na duniani.kujaribu kurekebisha mojawapo ya shida kubwa zaidi katika ufahamu wa ubongo tulizonazo hapa ulimwenguni.
12:19
Millions of people have lost the ability to translate these brainstorms
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Mamilioni ya watu wamepoteza uwezo wakutafsiri hizi dhoruba za ubongo
12:24
into action, into movement.
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ziwe hatua, au harakati.
12:26
Although their brains continue to produce those storms and code for movements,
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Ingawaje akili zao zinazidi kuzaa dhoruba hizo na matembezi,
12:31
they cannot cross a barrier that was created by a lesion on the spinal cord.
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haziwezi kilichoundwa kwa lesheni kwenye uti wa mgongo.kupita kizuizi
12:36
So our idea is to create a bypass,
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Kwa hivyo lengo letu ni kutengeneza njia,
12:39
is to use these brain-machine interfaces to read these signals,
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tukitumia hizi mashine za ubongo kutafsiri viashiria hivi,
12:43
larger-scale brainstorms that contain the desire to move again,
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dhoruba kubwa akilini zilizo na hamu ya kutembea tena,
12:47
bypass the lesion using computational microengineering
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kupita ile lesheni tukitumia uhandisi wa kikompyuta
12:51
and send it to a new body, a whole body called an exoskeleton,
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na kuituma hadi kwenye mwili mpya, mwili mpya kabisa unaoitwa eksoskeletoni,
12:58
a whole robotic suit that will become the new body of these patients.
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suti mpya ya kiroboti inatakayokuwa mwili mpya wa wagonjwa hawa.
13:03
And you can see an image produced by this consortium.
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Na unaweza kuona picha inayojitokeza kutokana na muungano huu.
13:08
This is a nonprofit consortium called the Walk Again Project
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Huu ni muungano uitwao Walk Again Project
13:12
that is putting together scientists from Europe,
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unaoleta pamoja wanasayansi kutoka Uropa,
13:14
from here in the United States, and in Brazil
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kutoka hapa Marekani, na Brazili
13:16
together to work to actually get this new body built --
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kufanya kazi ili kutengeneza mwili huu mpya—
13:21
a body that we believe, through the same plastic mechanisms
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mwili tunaoamini, katika mfumo plastiki ule ule
13:24
that allow Aurora and other monkeys to use these tools through a brain-machine interface
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uliowezesha Aurora na nyani wengine kutumia hivi vifaa kupitia kwa mashine ya ubongo
13:30
and that allows us to incorporate the tools that we produce and use in our daily life.
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na ambayo ilituwezesha kuingiza vifaa tunavyoweza kutengeneza na kutumia katika maisha yetu, siku baada ya siku.
13:36
This same mechanism, we hope, will allow these patients,
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Mfumo huu huu, tunatumai, utawezesha wagonjwa hawa,
13:39
not only to imagine again the movements that they want to make
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Mfumo huu huu, tunatumai, utawezesha wagonjwa hawa,
13:43
and translate them into movements of this new body,
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bali pia kutafsiri mafikira hayo kuwa matembezi ya mwili huu mpya,
13:46
but for this body to be assimilated as the new body that the brain controls.
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lakini kwa mwili huu kubadilika kama ule mwili mpya unaothibitiwa na ubongo.
13:53
So I was told about 10 years ago
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Niliambiwa miaka kumi iliyopita
13:57
that this would never happen, that this was close to impossible.
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kuwa haya yote hayatatokea, ati hii ilikuwa haiwezekani.
14:02
And I can only tell you that as a scientist,
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Na naweza kuwaamia kama mwanasayansi,
14:04
I grew up in southern Brazil in the mid-'60s
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nilikua huko Brazili ya kusini katika miaka ya sitini
14:07
watching a few crazy guys telling [us] that they would go to the Moon.
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nikiangalia wale wenye maono wakituambia kuwa wataenda Mwezini.
14:12
And I was five years old,
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Na nilikuwa na umri wa miaka mitano,
14:14
and I never understood why NASA didn't hire Captain Kirk and Spock to do the job;
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na sikuwahi kuelewa sababu gani NASA haikuwaajiri manahodha Kirk na Spock kufanya kazi hiyo;
14:18
after all, they were very proficient --
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kwani, si walikuwa na ustadi wa hali ya juu—
14:20
but just seeing that as a kid
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lakini kuona tu kama mtoto
14:24
made me believe, as my grandmother used to tell me,
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ilinifanya kuamini, kama nyanyangu alivyokuwa akiniambia,
14:27
that "impossible is just the possible
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kwamba "kisichowezekana ni kile tu kinachowezekana
14:29
that someone has not put in enough effort to make it come true."
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lakini mtu hajatia bidii ya kutosha kukitimiza."
14:33
So they told me that it's impossible to make someone walk.
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Kwa hivyo waliniambia kuwa haiwezekani kufanya mtu atembee.
14:36
I think I'm going to follow my grandmother's advice.
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Nafikiri nitafuata wasia wa nyanyangu.
14:40
Thank you.
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Asanteni.
14:41
(Applause)
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(Makofi)
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