Pawan Sinha on how brains learn to see

63,648 views ・ 2010-02-25

TED


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Translator: Lenka Tušar Reviewer: Tilen Pigac - EFZG
00:15
If you are a blind child in India,
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Če ste slepi otrok v Indiji,
00:19
you will very likely have to contend with
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se boste morali spoprijeti z
00:22
at least two big pieces of bad news.
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vsaj dvema zelo slabima novicama.
00:25
The first bad news
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Prva je,
00:27
is that the chances of getting treatment
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da so možnosti zdravljenja
00:30
are extremely slim to none,
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zelo majhne ali nične,
00:33
and that's because most of the blindness
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saj je večina programov
00:35
alleviation programs in the country
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za ublažitev posledic slepote v državi
00:37
are focused on adults,
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namenjena odraslim
00:39
and there are very, very few hospitals
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in tako je izjemno malo bolnišnic
00:42
that are actually equipped to treat children.
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opremljenih za zdravjenje otrok.
00:46
In fact, if you were to be treated,
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Če pa pridete do zdravljenja,
00:51
you might well end up being treated
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se lahko zgodi, da bo to v rokah
00:54
by a person who has no medical credentials
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osebe brez zdravniške izobrazbe,
00:57
as this case from Rajasthan illustrates.
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kot prikazuje ta primer iz Radžastana.
01:00
This is a three-year-old orphan girl
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To je triletna osirotela deklica,
01:02
who had cataracts.
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ki ima sivo mreno.
01:04
So, her caretakers took her
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Njeni skrbniki so jo peljali
01:06
to the village medicine man,
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k vaškemu zdravilcu, ki,
01:08
and instead of suggesting to the caretakers
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namesto da bi jim svetoval,
01:11
that the girl be taken to a hospital,
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naj jo peljejo v bolnišnico,
01:14
the person decided to burn her abdomen
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se je odločil žgati njen trebuh
01:16
with red-hot iron bars
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z razžarjenimi železnimi palicami,
01:18
to drive out the demons.
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da bi izgnal zle sile.
01:20
The second piece of bad news
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Drugo slabo novico
01:23
will be delivered to you
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bi izvedeli pri nevrologih,
01:25
by neuroscientists, who will tell you
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ki bi vam povedali,
01:28
that if you are older than four or five years of age,
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da če ste starejši od štirih ali pet let,
01:31
that even if you have your eye corrected,
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bi, čeprav bi vam ozdravili oči,
01:34
the chances of your brain learning how to see
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bila verjetnost možganov, da se naučijo videti,
01:37
are very, very slim --
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zelo zelo majhna
01:39
again, slim or none.
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ali nična.
01:42
So when I heard these two things,
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Ko sem to izvedel,
01:44
it troubled me deeply,
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me je hudo zaskrbelo,
01:46
both because of personal reasons
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tako iz osebnih
01:48
and scientific reasons.
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kot znanstvenih razlogov.
01:50
So let me first start with the personal reason.
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Naj začnem z osebno platjo.
01:53
It'll sound corny, but it's sincere.
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Zvenelo bo osladno, a je iskreno.
01:56
That's my son, Darius.
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To je moj sinček, Darius.
01:58
As a new father,
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Kot mladi očka
02:00
I have a qualitatively different sense
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se precej drugače zavedam,
02:04
of just how delicate babies are,
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kako občutljivi so dojenčki,
02:07
what our obligations are towards them
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kakšne so naše odgovornosti do njih
02:10
and how much love
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in koliko ljubezni
02:12
we can feel towards a child.
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lahko čutimo do otrok.
02:15
I would move heaven and earth
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Premaknil bi nebo in zemljo,
02:17
in order to get treatment for Darius,
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da bi Dariusu omogočil zdravljenje,
02:20
and for me to be told
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in ko sem izvedel,
02:22
that there might be other Dariuses
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da so tu še drugi Dariusi,
02:24
who are not getting treatment,
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ki zdravljenja niso deležni,
02:26
that's just viscerally wrong.
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sem bil globoko prizadet.
02:29
So that's the personal reason.
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To je torej osebni razlog.
02:31
Scientific reason is that this notion
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Znanstveni pa je, da me trditev
02:34
from neuroscience of critical periods --
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nevrologov o kritičnem obdobju možganov --
02:36
that if the brain is older
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možgani, starejši
02:39
than four or five years of age,
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od štirih ali petih let,
02:41
it loses its ability to learn --
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naj bi izgubili sposobnost učenja --
02:43
that doesn't sit well with me,
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ni prepričala,
02:45
because I don't think that idea
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saj mislim, da za potrditev
02:47
has been tested adequately.
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ni bila primerno testirana.
02:50
The birth of the idea is from
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Ta ideja je plod dela
02:52
David Hubel and Torsten Wiesel's work,
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Davida Hubela in Torstena Wiesela,
02:54
two researchers who were at Harvard,
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dveh raziskovalcev s Harvarda,
02:56
and they got the Nobel Prize in 1981
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dobitnikov Nobelove nagrade leta 1981
02:59
for their studies of visual physiology,
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za študiji vizualne fiziologije,
03:01
which are remarkably beautiful studies,
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izjemni in čudoviti študiji,
03:03
but I believe some of their work
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čeprav menim, da je bilo nekaj
03:05
has been extrapolated
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njunih izsledkov prezgodaj prenešenih
03:07
into the human domain prematurely.
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v domeno človeškega telesa.
03:09
So, they did their work with kittens,
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Raziskave sta opravljala na mačkah,
03:11
with different kinds of deprivation regiments,
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prikrajšanih na različne načine,
03:13
and those studies,
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izsledki teh raziskav
03:15
which date back to the '60s,
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iz šestdesetih let
03:17
are now being applied to human children.
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pa so bili prenešeni tudi na človeške otroke.
03:20
So I felt that I needed to do two things.
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Čutil sem, da moram narediti dvoje.
03:23
One: provide care
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Prvič, priskrbeti pomoč
03:26
to children who are currently
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otrokom, ki so trenutno
03:28
being deprived of treatment.
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prikrajšani za zdravljenje.
03:30
That's the humanitarian mission.
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To je človekoljubno poslanstvo.
03:32
And the scientific mission would be
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Znanstveno poslanstvo pa bi bilo
03:34
to test the limits
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testirati meje
03:36
of visual plasticity.
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vizualne plastičnosti.
03:38
And these two missions, as you can tell,
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Ti dve poslanstvi, kot lahko vidite,
03:41
thread together perfectly. One adds to the other;
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se čudovito prepletata. Eno prispeva k drugemu,
03:44
in fact, one would be impossible without the other.
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pravzaprav sami zase ne bi mogla obstajati.
03:49
So, to implement
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Za namene združitve teh dveh poslanstev
03:51
these twin missions,
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sem pred nekaj leti
03:53
a few years ago, I launched Project Prakash.
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začel Projekt Prakash.
03:56
Prakash, as many of you know,
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Beseda prakash, kot vas veliko ve,
03:58
is the Sanskrit word for light,
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v sanskritu pomeni svetlobo,
04:00
and the idea is that
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naša zamisel je, da preko
04:02
in bringing light into the lives of children,
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osvetljevanja otroških življenj
04:05
we also have a chance
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najdemo tudi možnosti
04:07
of shedding light on some of the
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osvetljevanja nekaterih
04:09
deepest mysteries of neuroscience.
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najglobljih skrivnosti nevroznanosti.
04:12
And the logo -- even though it looks extremely Irish,
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Naš logotip, čeprav je videti zelo irski,
04:15
it's actually derived from
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pravzaprav izhaja iz
04:17
the Indian symbol of Diya, an earthen lamp.
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indijskega simbola za oljenko, Diyo.
04:21
The Prakash, the overall effort
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V splošnem je cilj Prakasha
04:24
has three components:
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razdeljen na tri dele:
04:26
outreach, to identify children in need of care;
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pomoč, iskanje otrok, ki potrebujejo nego;
04:30
medical treatment; and in subsequent study.
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zdravljenje; in posledična študija.
04:33
And I want to show you a short video clip
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Pokazal vam bom kratek posnetek,
04:36
that illustrates the first two components of this work.
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ki prikazuje prva dva člena našega dela.
04:41
This is an outreach station
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To je center za pomoč,
04:43
conducted at a school for the blind.
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ki jo vodimo na šoli za slepe.
04:46
(Text: Most of the children are profoundly and permanently blind ...)
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(Večina otrok je hudo slabovidna ali trajno slepa ...)
04:51
Pawan Sinha: So, because this is a school for the blind,
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Pawan Sinha: Ker je to šola za slepe,
04:56
many children have permanent conditions.
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imamo veliko otrok s trajnimi okvarami.
04:58
That's a case of microphthalmos,
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To je primer mikroftalmije,
05:01
which is malformed eyes,
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nepravilno razvitih zrkel,
05:03
and that's a permanent condition;
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ki je trajna
05:05
it cannot be treated.
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in neozdravljiva.
05:07
That's an extreme of micropthalmos
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To je skrajen primer mikroftalmije,
05:09
called enophthalmos.
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imenovan enoftalmos.
05:11
But, every so often, we come across children
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A vsake toliko najdemo otroke,
05:13
who show some residual vision,
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ki kažejo znake vidnega zaznavanja,
05:16
and that is a very good sign
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kar je zelo dober znak
05:19
that the condition might actually be treatable.
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za možnost uspešnega zdravljenja.
05:21
So, after that screening, we bring the children to the hospital.
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Po pregledu otroke pripeljemo v bolnišnico.
05:24
That's the hospital we're working with in Delhi,
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To je bolnišnica v Delhiju, s katero sodelujemo,
05:26
the Schroff Charity Eye Hospital.
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bolnišnica Schroff Charity Eye.
05:29
It has a very well-equipped
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Tu je zelo dobro opremljen
05:31
pediatric ophthalmic center,
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center za otroške očesne bolezni,
05:35
which was made possible in part
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ki ga je delno omogočila donacija
05:37
by a gift from the Ronald McDonald charity.
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dobrodelne ustanove Ronalda McDonalda.
05:41
So, eating burgers actually helps.
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Kot vidite, hitra hrana lahko tudi pomaga.
05:45
(Text: Such examinations allow us to improve
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(Taki pregledi nam omogočajo izboljšanje
05:47
eye-health in many children, and ...
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očesnega stanja mnogih otrok in ...
05:54
... help us find children who can participate in Project Prakash.)
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... pomagajo nam najti otroke, ki bi postali del Projekta Prakash.)
05:57
PS: So, as I zoom in to the eyes of this child,
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PS: Če približam v oči tega otroka,
05:59
you will see the cause of his blindness.
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boste videli razlog njegove slepote.
06:03
The whites that you see in the middle of his pupils
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Belina v sredini njegovih zenic
06:06
are congenital cataracts,
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je prirojena siva mrena,
06:09
so opacities of the lens.
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torej motnost leče.
06:11
In our eyes, the lens is clear,
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V naših očeh so leče prozorne,
06:14
but in this child, the lens has become opaque,
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pri tem otroku pa so postale motne,
06:16
and therefore he can't see the world.
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zato ne more videti sveta.
06:19
So, the child is given treatment. You'll see shots of the eye.
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Omogočimo mu zdravljenje. Videli boste posnetke očesa.
06:22
Here's the eye with the opaque lens,
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Tu je oko z zamegljeno lečo,
06:24
the opaque lens extracted
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ki jo odstranimo
06:26
and an acrylic lens inserted.
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in nadomestimo z akrilno lečo.
06:29
And here's the same child
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To je isti otrok po treh tednih
06:31
three weeks post-operation,
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okrevanja po posegu,
06:34
with the right eye open.
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z odprtim desnim očesom.
06:40
(Applause)
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(Aplavz)
06:46
Thank you.
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Hvala.
06:48
So, even from that little clip, you can begin to get the sense
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Tako lahko tudi na tem kratkem prikazu vidite,
06:51
that recovery is possible,
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da je zdravljenje možno,
06:53
and we have now
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in do zdaj smo ga zagotovili
06:55
provided treatment to over 200 children,
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že več kot 200 otrokom,
06:58
and the story repeats itself.
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zgodba pa se še nadaljuje.
07:00
After treatment, the child
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Po zdravljenju se otrokova
07:02
gains significant functionality.
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funkcionalnost znatno izboljša.
07:05
In fact, the story holds true
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Ta postopek je uspešen tudi
07:08
even if you have a person who got sight
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pri ljudeh, ki so spregledali
07:10
after several years of deprivation.
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po več letih slepote.
07:12
We did a paper a few years ago
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Pred leti smo pisali o ženski,
07:14
about this woman that you see on the right, SRD,
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ki jo vidite na desni, SRD,
07:18
and she got her sight late in life,
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ki je spregledala v poznih letih
07:20
and her vision is remarkable at this age.
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in danes je njen vid izjemen.
07:24
I should add a tragic postscript to this --
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A tu je še tragični del njene zgodbe,
07:27
she died two years ago
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pred dvema letoma je umrla
07:29
in a bus accident.
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v nesreči avtobusa.
07:31
So, hers is just a truly inspiring story --
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A njena zgodba je vseeno navdihujoča,
07:35
unknown, but inspiring story.
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čeprav neznana.
07:38
So when we started finding these results,
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Ko smo torej prišli do teh rezultatov, smo,
07:40
as you might imagine, it created quite a bit of stir
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kot si lahko predstavljate, precej pretresli
07:43
in the scientific and the popular press.
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znanstveni in poljudni tisk.
07:46
Here's an article in Nature
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Tu je članek v znanstvenem tedniku Nature,
07:48
that profiled this work,
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ki opisuje naše delo,
07:50
and another one in Time.
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in še en v časniku Time.
07:52
So, we were fairly convinced -- we are convinced --
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Bili smo torej trdno prepričani -- smo prepričani --
07:54
that recovery is feasible,
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da je zdravljenje lahko uspešno
07:56
despite extended visual deprivation.
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kljub dolgotrajni slabovidnosti.
07:59
The next obvious question to ask:
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Naslednje očitno vprašanje je,
08:01
What is the process of recovery?
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kako poteka okrevanje?
08:04
So, the way we study that is,
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To preučujemo tako,
08:07
let's say we find a child who has light sensitivity.
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da najdemo otroka, ki zaznava svetlobo.
08:09
The child is provided treatment,
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Otroku priskrbimo zdravljenje,
08:11
and I want to stress that the treatment
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ki, poudarjam, je
08:13
is completely unconditional;
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popolnoma brezpogojno,
08:15
there is no quid pro quo.
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brez vsakršne protistoritve.
08:17
We treat many more children then we actually work with.
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Zdravimo veliko več otrok, kot dejansko z njimi delamo.
08:20
Every child who needs treatment is treated.
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Vsak otrok, ki potrebuje zdravljenje, ga dobi.
08:23
After treatment, about every week,
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Po njem približno vsak teden
08:25
we run the child
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pri otroku izvedemo
08:27
on a battery of simple visual tests
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vrsto preprostih vizualnih testov,
08:30
in order to see how their visual skills
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da vidimo, kako napredujejo
08:32
are coming on line.
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njegove vidne sposobnosti.
08:34
And we try to do this for as long as possible.
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To poskušamo izvajati kolikor dolgo mogoče.
08:37
This arc of development
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Skozi ta lok razvoja
08:39
gives us unprecedented
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dobimo neverjetne
08:41
and extremely valuable information
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in izjemno važne podatke o tem,
08:43
about how the scaffolding of vision
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kako se sestavlja
08:45
gets set up.
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gradbeni oder vida.
08:47
What might be the causal connections
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Kakšne bi lahko bile naključne povezave
08:49
between the early developing skills
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med sposobnostmi zgodnjega
08:51
and the later developing ones?
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in poznejšega razvoja vida?
08:53
And we've used this general approach to study
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Poslužili smo se splošnega pristopa
08:55
many different visual proficiencies,
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za preučevanje mnogih različnih vizualnih znanj,
08:58
but I want to highlight one particular one,
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tu pa želim posebej omeniti eno,
09:02
and that is image parsing into objects.
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in sicer razčlenitev oblik v predmete.
09:05
So, any image of the kind that you see on the left,
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Katerakoli podoba, ki jo vidite na levi,
09:07
be it a real image or a synthetic image,
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tako prava kot sintetična podoba,
09:10
it's made up of little regions
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je sestavljena iz majhnih območij,
09:12
that you see in the middle column,
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ki jih vidite na srednji sliki,
09:14
regions of different colors, different luminances.
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območij različnih barv ali svetlosti.
09:17
The brain has this complex task
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Možgani imajo zapleteno nalogo,
09:20
of putting together, integrating,
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da sestavijo in združijo
09:23
subsets of these regions
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delce teh območij
09:25
into something that's more meaningful,
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v nekaj z večjim pomenom,
09:27
into what we would consider to be objects,
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kar mi dojemamo kot predmete,
09:29
as you see on the right.
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in to vidite na desni.
09:31
And nobody knows how this integration happens,
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Nihče ne ve, kako to združevanje poteka,
09:33
and that's the question we asked with Project Prakash.
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zato smo se to vprašali v Projektu Prakash.
09:37
So, here's what happens
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To se torej zgodi
09:39
very soon after the onset of sight.
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takoj po začetku vida.
09:42
Here's a person who had gained sight just a couple of weeks ago,
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Ta moški je spregledal pred le nekaj tedni,
09:45
and you see Ethan Myers, a graduate student from MIT,
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ob njem pa je Ethan Myers, podiplomski študent s
09:48
running the experiment with him.
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Tehnološkega inštituta v Massachusettsu, ki izvaja test.
09:51
His visual-motor coordination is quite poor,
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Njegova vizualno-motorična usklajenost je precej slaba,
09:55
but you get a general sense
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a vseeno lahko razumete,
09:57
of what are the regions that he's trying to trace out.
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katera območja želi pokazati.
10:00
If you show him real world images,
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Če mu pokažemo podobe iz resničnega sveta,
10:02
if you show others like him real world images,
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prav tako kot njemu podobnim ljudem,
10:05
they are unable to recognize most of the objects
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ne bo mogel prepoznati večine predmetov,
10:07
because the world to them is over-fragmented;
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saj je svet zanj preveč razčlenjen;
10:10
it's made up of a collage, a patchwork,
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je le sestavljanja, krpanka
10:13
of regions of different colors and luminances.
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območij različnih barv in svetlosti.
10:15
And that's what's indicated in the green outlines.
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To nakazujejo zelene obrobe.
10:17
When you ask them,
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Ko jim rečete,
10:19
"Even if you can't name the objects, just point to where the objects are,"
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"Tudi če predmetov ne znate imenovati, pokažite, kje so,"
10:22
these are the regions that they point to.
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bodo pokazali na ta območja.
10:24
So the world is this complex
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Zanje je torej svet ta zapletena
10:26
patchwork of regions.
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sestavljanja območij.
10:28
Even the shadow on the ball
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Celo senca na žogi
10:30
becomes its own object.
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postane predmet zase.
10:33
Interestingly enough,
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Zelo zanimivo,
10:35
you give them a few months,
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pa se po nekaj mesecih
10:37
and this is what happens.
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zgodi to.
10:43
Doctor: How many are these?
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Zdravnik: Koliko stvari je tu?
10:45
Patient: These are two things.
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Pacient: Tu sta dve stvari.
10:47
Doctor: What are their shapes?
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Zdravnik: Kakšnih oblik sta?
10:49
Patient: Their shapes ...
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Pacient: Oblika ...
10:51
This one is a circle,
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To je krog,
10:54
and this
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in to
10:56
is a square.
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je kvadrat.
10:58
PS: A very dramatic transformation has come about.
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PS: Prišlo je do zelo dramatične preobrazbe.
11:01
And the question is:
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Vprašanje pa je:
11:03
What underlies this transformation?
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Kaj povzroči tako preobrazbo?
11:05
It's a profound question,
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Gre za globoko vprašanje,
11:07
and what's even more amazing is how simple
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a bolj neverjetno je,
11:09
the answer is.
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kako preprost je odgovor nanj.
11:11
The answer lies in motion
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Odgovor se skriva v gibanju,
11:13
and that's what I want to show you in the next clip.
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kar vam bom pokazal v naslednjem prizoru.
11:18
Doctor: What shape do you see here?
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Zdravnik: Katero obliko vidite?
11:20
Patient: I can't make it out.
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Pacient: Ne morem ugotoviti.
11:28
Doctor: Now?
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Zdravnik: Kaj pa zdaj?
11:31
Patient: Triangle.
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Pacient: Trikotnik.
11:35
Doctor: How many things are these?
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Zdravnik: Koliko stvari vidite?
11:48
Now, how many things are these?
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Kaj pa zdaj, koliko jih je?
11:51
Patient: Two.
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Pacient: Dve.
11:53
Doctor: What are these things?
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Zdravnik: Kateri sta ti dve stvari?
11:56
Patient: A square and a circle.
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Pacient: Kvadrat in krog.
11:58
PS: And we see this pattern over and over again.
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PS: Ta vzorec se ponavlja znova in znova.
12:01
The one thing the visual system needs
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Edino, kar sistem vidnega zaznavanja potrebuje,
12:04
in order to begin parsing the world
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da razčleni in definira svet,
12:06
is dynamic information.
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je podatek o gibanju.
12:08
So the inference we are deriving from this,
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Iz tega in nekaj drugih poskusov
12:10
and several such experiments,
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smo sklepali,
12:12
is that dynamic information processing,
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da je obdelava podatkov o
12:14
or motion processing,
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dinamiki ali gibanju
12:16
serves as the bedrock for building
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temelj celotne preostale
12:18
the rest of the complexity of visual processing;
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zapletene vizualne obdelave;
12:22
it leads to visual integration
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vodi do vizualnega združevanja
12:24
and eventually to recognition.
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in posledično prepoznavanja.
12:27
This simple idea has far reaching implications.
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Ta preprosta ideja pa ima široke možnosti uporabe.
12:30
And let me just quickly mention two,
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Naj na hitro omenim le dve,
12:33
one, drawing from the domain of engineering,
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prva je inženirske,
12:35
and one from the clinic.
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druga pa klinične narave.
12:37
So, from the perspective of engineering,
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Z inženirskega stališča
12:39
we can ask: Goven that we know
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se lahko vprašamo: Če vemo,
12:42
that motion is so important for the human visual system,
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da je gibanje tako pomembno za človeški vidni sistem,
12:44
can we use this as a recipe
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ali lahko to znanje uporabimo
12:47
for constructing machine-based vision systems
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za konstrukcijo mehanskih vizualnih sistemov,
12:50
that can learn on their own, that don't need to be programmed
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ki se lahko učijo sami
12:53
by a human programmer?
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in brez človeškega programiranja?
12:55
And that's what we're trying to do.
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To tudi poskušamo narediti.
12:57
I'm at MIT, at MIT you need to apply
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Na Tehnološkem inštitutu v Massachusettsu, kjer delam,
13:00
whatever basic knowledge you gain.
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uporabimo vsa osnovna znanja, ki jih imamo.
13:02
So we are creating Dylan,
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Tako smo ustvarili Dylan,
13:04
which is a computational system
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računalniški sistem
13:06
with an ambitious goal
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z visoko zastavljenim ciljem
13:08
of taking in visual inputs
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prepoznavati vizualne podatke,
13:10
of the same kind that a human child would receive,
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enake, kot bi jih dobil otrok,
13:13
and autonomously discovering:
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in iz njih samostojno razbrati,
13:15
What are the objects in this visual input?
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katere predmete predstavljajo ti vizualni podatki.
13:18
So, don't worry about the internals of Dylan.
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Tu se ne bomo spuščali v podrobnosti programa,
13:21
Here, I'm just going to talk about
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povedal bom le,
13:24
how we test Dylan.
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kako smo ga testirali.
13:26
The way we test Dylan is by giving it
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To smo storili tako, da smo mu, kot rečeno,
13:28
inputs, as I said, of the same kind
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posredovali enake vrste podatkov,
13:31
that a baby, or a child in Project Prakash would get.
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kot jih dobi otrok v Projektu Prakash.
13:34
But for a long time we couldn't quite figure out:
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A dolgo časa nismo uspeli dognati:
13:37
Wow can we get these kinds of video inputs?
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Kako bi pridobili take video podatke?
13:41
So, I thought,
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Pomislil sem,
13:43
could we have Darius
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da bi nam lahko pomagal Darius
13:45
serve as our babycam carrier,
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in nosil kamero,
13:48
and that way get the inputs that we feed into Dylan?
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da bi tako dobili podatke za sistem Dylan.
13:51
So that's what we did.
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To smo tudi naredili.
13:53
(Laughter)
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(Smeh)
14:00
I had to have long conversations with my wife.
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Dolgo časa sem moral prepričevati ženo.
14:03
(Laughter)
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(Smeh)
14:08
In fact, Pam, if you're watching this,
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Pam, če to gledaš,
14:10
please forgive me.
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mi, prosim, oprosti.
14:13
So, we modified the optics of the camera
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Optične nastavitve kamere smo spremenili,
14:17
in order to mimic the baby's visual acuity.
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da je imitirala ostrino dojenčkovega vida.
14:20
As some of you might know,
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Kot verjetno nekateri veste,
14:22
babyies are born pretty much legally blind.
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se dojenčki rodijo skoraj popolnoma slepi.
14:26
Their acuity -- our acuity is 20/20;
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Ostrina našega vida je 20/20,
14:29
babies' acuity is like 20/800,
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ostrina dojenčkovega vida pa okrog 20/800,
14:32
so they are looking at the world
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zato vidijo svet
14:34
in a very, very blurry fashion.
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zelo zelo megleno.
14:37
Here's what a baby-cam video looks like.
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Približno tako vidi dojenček.
14:41
(Laughter)
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(Smeh)
14:50
(Applause)
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(Aplavz)
14:53
Thankfully, there isn't any audio
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Na srečo je ta posnetek
14:55
to go with this.
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brez zvoka.
14:58
What's amazing is that working with such
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Pri tem je izjemno, da pri še tako
15:00
highly degraded input,
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okrnjenih vizualnih podatkih
15:02
the baby, very quickly, is able
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dojenček lahko zelo hitro
15:04
to discover meaning in such input.
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odkrije pomen takega prizora.
15:07
But then two or three days afterward,
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Po dveh ali treh dnevih
15:09
babies begin to pay attention
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dojenčki postanejo pozorni
15:11
to their mother's or their father's face.
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na materin ali očetov obraz.
15:13
How does that happen? We want Dylan to be able to do that,
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Kako se to zgodi? To želimo prikazati z Dylanom,
15:16
and using this mantra of motion,
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ki lahko z mantro gibanja
15:19
Dylan actually can do that.
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to dejansko izvede.
15:21
So, given that kind of video input,
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Pri takih vizualnih podatkih,
15:24
with just about six or seven minutes worth of video,
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posnetku, dolgem le šest ali sedem minut,
15:27
Dylan can begin to extract patterns
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lahko Dylan začne izločati vzorce,
15:30
that include faces.
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ki vključujejo obraze.
15:33
So, it's an important demonstration
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To je torej pomemben prikaz
15:35
of the power of motion.
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moči gibanja.
15:37
The clinical implication, it comes from the domain of autism.
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Cilj klinične implikacije odkritja pa je avtizem.
15:40
Visual integration has been associated with autism
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Vizualno povezovanje je avtizmu pripisalo
15:42
by several researchers.
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precej raziskovalcev.
15:44
When we saw that, we asked:
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Ko smo to videli, smo se vprašali,
15:46
Could the impairment in visual integration
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ali bi lahko bilo okrnjeno vizualno povezovanje
15:49
be the manifestation of something underneath,
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pravzaprav posledica nečesa globljega,
15:52
of dynamic information processing deficiencies in autism?
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oslabljene obdelave podatkov dinamike pri avtizmu.
15:55
Because, if that hypothesis were to be true,
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Če bi namreč to hipotezo potrdili,
15:58
it would have massive repercussions in our understanding
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bi to imelo izjemne posledice v našem razumevanju
16:01
of what's causing the many different aspects
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razlogov in dejavnikov za različne vidike
16:03
of the autism phenotype.
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lastnosti in značilnosti avtistov.
16:06
What you're going to see are
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Videli boste posnetke dveh otrok,
16:08
video clips of two children -- one neurotypical,
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nevrotipičnega in avtističnega,
16:11
one with autism, playing Pong.
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pri igranju igre Pong.
16:13
So, while the child is playing Pong, we are tracking where they're looking.
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Med igranjem sledimo njunemu pogledu.
16:16
In red are the eye movement traces.
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Sledi gibanja oči so rdeče barve.
16:19
This is the neurotypical child, and what you see
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To je posnetek nevrotipičnega otroka in vidite,
16:22
is that the child is able to make cues
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da lahko iz podatkov o dinamiki
16:24
of the dynamic information
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dobi namig in iztočnico
16:26
to predict where the ball is going to go.
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in tako predvidi, kam se bo odbila žogica.
16:28
Even before the ball gets to a place,
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Še preden se ta odbije,
16:31
the child is already looking there.
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otrok že gleda tja.
16:34
Contrast this with a child
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Primerjajte to z avtističnim otrokom
16:36
with autism playing the same game.
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pri igranju iste igre.
16:38
Instead of anticipating,
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Namesto pričakovanja
16:40
the child always follows where the ball has been.
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otrok vedno sledi točki, kjer je žogica bila.
16:43
The efficiency of the use
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Učinkovitost uporabe podatkov
16:45
of dynamic information
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o dinamiki je, kot kaže,
16:47
seems to be significantly compromised in autism.
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pri avtistih občutno okrnjena.
16:51
So we are pursuing this line of work
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Z delom nadaljujemo
16:54
and hopefully we'll have
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v upanju novih rezultatov,
16:56
more results to report soon.
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o katerih bomo kmalu poročali.
16:58
Looking ahead, if you think of this disk
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Če gledamo naprej, zamislite si,
17:01
as representing all of the children
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da ta krog predstavlja vse otroke,
17:03
we've treated so far,
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ki smo jih doslej zdravili.
17:05
this is the magnitude of the problem.
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To pa je razsežnost problematike.
17:07
The red dots are the children we have not treated.
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Rdeče pike so otroci, ki jih nismo zdravili.
17:10
So, there are many, many more children who need to be treated,
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Obstaja torej še nepopisno več otrok, potrebnih zdravljenja,
17:12
and in order to expand the scope of the project,
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in z željo širiti domet projekta,
17:15
we are planning on launching
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načrtujemo odprtje
17:17
The Prakash Center for Children,
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Otroškega centra Prakash
17:19
which will have a dedicated pediatric hospital,
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s posebno pediatrično kliniko,
17:22
a school for the children we are treating
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šolo za otroke, ki jih zdravimo,
17:24
and also a cutting-edge research facility.
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in visokotehnološko raziskovalno ustanovo.
17:26
The Prakash Center will integrate health care,
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Center Prakash bo združeval zdravniško oskrbo,
17:29
education and research in a way
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izobraževanje in raziskovanje,
17:31
that truly creates the whole
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ki bodo skupaj sestavljali celoto,
17:33
to be greater than the sum of the parts.
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večjo, kot bi bila vsota vseh delov.
17:36
So, to summarize: Prakash, in its five years of existence,
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Naj povzamem: Prakash je v petih letih delovanja
17:39
it's had an impact in multiple areas,
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vplival na mnogo področij,
17:42
ranging from basic neuroscience
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od osnovne nevroznanosti,
17:44
plasticity and learning in the brain,
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plastičnosti in učenja možganov,
17:46
to clinically relevant hypotheses like in autism,
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do klinično pomembnih hipotez, kot pri avtizmu,
17:50
the development of autonomous machine vision systems,
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razvoja samostojnih mehanskih sistemov vizualnega prepoznavanja,
17:53
education of the undergraduate and graduate students,
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izobraževanja dodiplomskih in podiplomskih študentov,
17:56
and most importantly in the alleviation
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in najpomembneje, zdravljenja
17:58
of childhood blindness.
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slepote otrok.
18:00
And for my students and I, it's been
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Zame in za moje študente
18:02
just a phenomenal experience
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je bila to izredna izkušnja,
18:04
because we have gotten to do interesting research,
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saj smo izvedli zanimivo raziskovanje,
18:08
while at the same time
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poleg tega pa pomagali
18:10
helping the many children that we have worked with.
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množici otrok, s katerimi smo delali.
18:12
Thank you very much.
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Najlepša hvala.
18:14
(Applause)
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(Aplavz)
O tej spletni strani

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