Nancy Kanwisher: A neural portrait of the human mind

190,773 views ・ 2014-10-02

TED


Please double-click on the English subtitles below to play the video.

00:00
Translator: Joseph Geni Reviewer: Madeleine Aronson
0
0
7000
00:12
Today I want to tell you
1
12604
1216
00:13
about a project being carried out
2
13820
1803
00:15
by scientists all over the world
3
15623
2687
00:18
to paint a neural portrait of the human mind.
4
18310
3288
00:21
And the central idea of this work
5
21598
2172
00:23
is that the human mind and brain
6
23770
1858
00:25
is not a single, general-purpose processor,
7
25628
2857
00:28
but a collection of highly specialized components,
8
28485
3442
00:31
each solving a different specific problem,
9
31927
2983
00:34
and yet collectively making up
10
34910
2336
00:37
who we are as human beings and thinkers.
11
37246
4356
00:41
To give you a feel for this idea,
12
41602
1476
00:43
imagine the following scenario:
13
43078
2664
00:45
You walk into your child's day care center.
14
45742
2196
00:47
As usual, there's a dozen kids there
15
47938
2237
00:50
waiting to get picked up,
16
50175
1591
00:51
but this time,
17
51766
1632
00:53
the children's faces look weirdly similar,
18
53398
2985
00:56
and you can't figure out which child is yours.
19
56383
2808
00:59
Do you need new glasses?
20
59191
1749
01:00
Are you losing your mind?
21
60940
1908
01:02
You run through a quick mental checklist.
22
62848
2452
01:05
No, you seem to be thinking clearly,
23
65300
1894
01:07
and your vision is perfectly sharp.
24
67194
2391
01:09
And everything looks normal
25
69585
1789
01:11
except the children's faces.
26
71374
2162
01:13
You can see the faces,
27
73536
1786
01:15
but they don't look distinctive,
28
75322
1708
01:17
and none of them looks familiar,
29
77030
1858
01:18
and it's only by spotting an orange hair ribbon
30
78888
2498
01:21
that you find your daughter.
31
81386
1896
01:23
This sudden loss of the ability to recognize faces
32
83282
3425
01:26
actually happens to people.
33
86707
1546
01:28
It's called prosopagnosia,
34
88253
2054
01:30
and it results from damage
35
90307
1181
01:31
to a particular part of the brain.
36
91488
2126
01:33
The striking thing about it
37
93614
1500
01:35
is that only face recognition is impaired;
38
95114
2595
01:37
everything else is just fine.
39
97709
2439
01:40
Prosopagnosia is one of many surprisingly specific
40
100148
3868
01:44
mental deficits that can happen after brain damage.
41
104016
4535
01:48
These syndromes collectively
42
108551
1363
01:49
have suggested for a long time
43
109914
2239
01:52
that the mind is divvied up into distinct components,
44
112153
3768
01:55
but the effort to discover those components
45
115921
2385
01:58
has jumped to warp speed
46
118306
1614
01:59
with the invention of brain imaging technology,
47
119920
2582
02:02
especially MRI.
48
122502
3048
02:05
So MRI enables you to see internal anatomy
49
125550
3240
02:08
at high resolution,
50
128790
1586
02:10
so I'm going to show you in a second
51
130376
1430
02:11
a set of MRI cross-sectional images
52
131806
3352
02:15
through a familiar object,
53
135158
1618
02:16
and we're going to fly through them
54
136776
875
02:17
and you're going to try to figure out what the object is.
55
137651
2473
02:20
Here we go.
56
140124
2111
02:24
It's not that easy. It's an artichoke.
57
144241
1889
02:26
Okay, let's try another one,
58
146130
1630
02:27
starting from the bottom and going through the top.
59
147760
2596
02:32
Broccoli! It's a head of broccoli.
60
152812
1151
02:33
Isn't it beautiful? I love that.
61
153963
1664
02:35
Okay, here's another one. It's a brain, of course.
62
155627
2757
02:38
In fact, it's my brain.
63
158384
1586
02:39
We're going through slices through my head like that.
64
159970
1733
02:41
That's my nose over on the right, and now
65
161703
1758
02:43
we're going over here, right there.
66
163461
3409
02:46
So this picture's nice, if I do say so myself,
67
166870
4601
02:51
but it shows only anatomy.
68
171471
1912
02:53
The really cool advance with functional imaging
69
173383
2520
02:55
happened when scientists figured out how to make
70
175903
1572
02:57
pictures that show not just anatomy but activity,
71
177475
3395
03:00
that is, where neurons are firing.
72
180870
2435
03:03
So here's how this works.
73
183305
1516
03:04
Brains are like muscles.
74
184821
1117
03:05
When they get active,
75
185938
1563
03:07
they need increased blood flow to supply that activity,
76
187501
2974
03:10
and lucky for us, blood flow control to the brain is local,
77
190475
3568
03:14
so if a bunch of neurons, say, right there
78
194043
2162
03:16
get active and start firing,
79
196205
1500
03:17
then blood flow increases just right there.
80
197705
2725
03:20
So functional MRI picks up on that blood flow increase,
81
200430
3721
03:24
producing a higher MRI response
82
204151
2033
03:26
where neural activity goes up.
83
206184
2926
03:29
So to give you a concrete feel
84
209110
1700
03:30
for how a functional MRI experiment goes
85
210810
2485
03:33
and what you can learn from it
86
213295
1439
03:34
and what you can't,
87
214734
1384
03:36
let me describe one of the first studies I ever did.
88
216118
3442
03:39
We wanted to know if there was a special part of the brain for recognizing faces,
89
219560
4138
03:43
and there was already reason to think there might be such a thing
90
223698
3072
03:46
based on this phenomenon of prosopagnosia
91
226770
1720
03:48
that I described a moment ago,
92
228490
2123
03:50
but nobody had ever seen that part of the brain
93
230613
2278
03:52
in a normal person,
94
232891
1919
03:54
so we set out to look for it.
95
234810
2056
03:56
So I was the first subject.
96
236866
1951
03:58
I went into the scanner, I lay on my back,
97
238817
2212
04:01
I held my head as still as I could
98
241029
2583
04:03
while staring at pictures of faces like these
99
243612
5017
04:08
and objects like these
100
248629
2131
04:10
and faces and objects for hours.
101
250760
5165
04:15
So as somebody who has pretty close to the world record
102
255925
2772
04:18
of total number of hours spent inside an MRI scanner,
103
258697
3543
04:22
I can tell you that one of the skills
104
262240
1432
04:23
that's really important for MRI research
105
263672
2663
04:26
is bladder control.
106
266335
1778
04:28
(Laughter)
107
268113
1802
04:29
When I got out of the scanner,
108
269915
1537
04:31
I did a quick analysis of the data,
109
271452
2316
04:33
looking for any parts of my brain
110
273768
1503
04:35
that produced a higher response when I was looking at faces
111
275271
2806
04:38
than when I was looking at objects,
112
278077
1870
04:39
and here's what I saw.
113
279947
2171
04:42
Now this image looks just awful by today's standards,
114
282118
3656
04:45
but at the time I thought it was beautiful.
115
285774
2808
04:48
What it shows is that region right there,
116
288582
1950
04:50
that little blob,
117
290532
1283
04:51
it's about the size of an olive
118
291815
1747
04:53
and it's on the bottom surface of my brain
119
293562
2156
04:55
about an inch straight in from right there.
120
295718
3206
04:58
And what that part of my brain is doing
121
298924
2790
05:01
is producing a higher MRI response,
122
301714
2920
05:04
that is, higher neural activity,
123
304634
1748
05:06
when I was looking at faces
124
306382
1482
05:07
than when I was looking at objects.
125
307864
2266
05:10
So that's pretty cool,
126
310130
1360
05:11
but how do we know this isn't a fluke?
127
311490
2318
05:13
Well, the easiest way
128
313808
1420
05:15
is to just do the experiment again.
129
315228
2114
05:17
So I got back in the scanner,
130
317342
1639
05:18
I looked at more faces and I looked at more objects
131
318981
2431
05:21
and I got a similar blob,
132
321412
2189
05:23
and then I did it again
133
323601
1895
05:25
and I did it again
134
325496
1855
05:27
and again and again,
135
327351
3072
05:30
and around about then
136
330423
1047
05:31
I decided to believe it was for real.
137
331470
2941
05:34
But still, maybe this is something weird about my brain
138
334411
3753
05:38
and no one else has one of these things in there,
139
338164
2462
05:40
so to find out, we scanned a bunch of other people
140
340626
2455
05:43
and found that pretty much everyone
141
343081
2446
05:45
has that little face-processing region
142
345527
2006
05:47
in a similar neighborhood of the brain.
143
347533
2893
05:50
So the next question was,
144
350426
1888
05:52
what does this thing really do?
145
352314
1474
05:53
Is it really specialized just for face recognition?
146
353788
3932
05:57
Well, maybe not, right?
147
357720
1240
05:58
Maybe it responds not only to faces
148
358960
1802
06:00
but to any body part.
149
360762
2109
06:02
Maybe it responds to anything human
150
362871
2369
06:05
or anything alive
151
365240
1780
06:07
or anything round.
152
367020
1656
06:08
The only way to be really sure that that region
153
368676
2154
06:10
is specialized for face recognition
154
370830
2417
06:13
is to rule out all of those hypotheses.
155
373247
2643
06:15
So we spent much of the next couple of years
156
375890
2830
06:18
scanning subjects while they looked at lots
157
378720
1647
06:20
of different kinds of images,
158
380367
1606
06:21
and we showed that that part of the brain
159
381973
1957
06:23
responds strongly when you look at
160
383930
1950
06:25
any images that are faces of any kind,
161
385880
3453
06:29
and it responds much less strongly
162
389333
1913
06:31
to any image you show that isn't a face,
163
391246
3149
06:34
like some of these.
164
394395
1305
06:35
So have we finally nailed the case
165
395700
2239
06:37
that this region is necessary for face recognition?
166
397939
3240
06:41
No, we haven't.
167
401179
1323
06:42
Brain imaging can never tell you
168
402502
1951
06:44
if a region is necessary for anything.
169
404453
2440
06:46
All you can do with brain imaging
170
406893
1440
06:48
is watch regions turn on and off
171
408333
2048
06:50
as people think different thoughts.
172
410381
1968
06:52
To tell if a part of the brain is necessary for a mental function,
173
412349
3611
06:55
you need to mess with it and see what happens,
174
415960
2509
06:58
and normally we don't get to do that.
175
418469
2275
07:00
But an amazing opportunity came about
176
420744
2584
07:03
very recently when a couple of colleagues of mine
177
423328
2464
07:05
tested this man who has epilepsy
178
425792
3071
07:08
and who is shown here in his hospital bed
179
428863
2682
07:11
where he's just had electrodes placed
180
431545
1367
07:12
on the surface of his brain
181
432912
2071
07:14
to identify the source of his seizures.
182
434983
2554
07:17
So it turned out by total chance
183
437537
2533
07:20
that two of the electrodes
184
440070
1949
07:22
happened to be right on top of his face area.
185
442019
3223
07:25
So with the patient's consent,
186
445242
2329
07:27
the doctors asked him what happened
187
447571
2587
07:30
when they electrically stimulated that part of his brain.
188
450158
4166
07:34
Now, the patient doesn't know
189
454324
1654
07:35
where those electrodes are,
190
455978
1384
07:37
and he's never heard of the face area.
191
457362
2212
07:39
So let's watch what happens.
192
459574
1991
07:41
It's going to start with a control condition
193
461565
1969
07:43
that will say "Sham" nearly invisibly
194
463534
2407
07:45
in red in the lower left,
195
465941
1710
07:47
when no current is delivered,
196
467651
2282
07:49
and you'll hear the neurologist speaking to the patient first. So let's watch.
197
469933
3815
07:53
(Video) Neurologist: Okay, just look at my face
198
473748
2081
07:55
and tell me what happens when I do this.
199
475829
3285
07:59
All right?
200
479114
934
08:00
Patient: Okay.
201
480048
2823
08:02
Neurologist: One, two, three.
202
482871
4320
08:07
Patient: Nothing. Neurologist: Nothing? Okay.
203
487191
3015
08:10
I'm going to do it one more time.
204
490206
2407
08:12
Look at my face.
205
492613
3194
08:15
One, two, three.
206
495807
4500
08:20
Patient: You just turned into somebody else.
207
500307
2824
08:23
Your face metamorphosed.
208
503131
2137
08:25
Your nose got saggy, it went to the left.
209
505268
3011
08:28
You almost looked like somebody I'd seen before,
210
508279
3536
08:31
but somebody different.
211
511815
2634
08:34
That was a trip.
212
514449
2072
08:36
(Laughter)
213
516521
3132
08:39
Nancy Kanwisher: So this experiment —
214
519653
1615
08:41
(Applause) —
215
521268
4223
08:45
this experiment finally nails the case
216
525491
2682
08:48
that this region of the brain is not only
217
528173
1825
08:49
selectively responsive to faces
218
529998
2137
08:52
but causally involved in face perception.
219
532135
3045
08:55
So I went through all of these details
220
535180
2130
08:57
about the face region to show you what it takes
221
537310
2464
08:59
to really establish that a part of the brain
222
539774
2339
09:02
is selectively involved in a specific mental process.
223
542113
3128
09:05
Next, I'll go through much more quickly
224
545241
2159
09:07
some of the other specialized regions of the brain
225
547400
2660
09:10
that we and others have found.
226
550060
2100
09:12
So to do this, I've spent a lot of time
227
552160
2114
09:14
in the scanner over the last month
228
554274
1867
09:16
so I can show you these things in my brain.
229
556141
2261
09:18
So let's get started. Here's my right hemisphere.
230
558402
3233
09:21
So we're oriented like that. You're looking at my head this way.
231
561635
2662
09:24
Imagine taking the skull off
232
564297
1093
09:25
and looking at the surface of the brain like that.
233
565390
2268
09:27
Okay, now as you can see,
234
567658
1758
09:29
the surface of the brain is all folded up.
235
569416
1503
09:30
So that's not good. Stuff could be hidden in there.
236
570919
1721
09:32
We want to see the whole thing,
237
572640
1434
09:34
so let's inflate it so we can see the whole thing.
238
574074
3312
09:37
Next, let's find that face area I've been talking about
239
577386
2829
09:40
that responds to images like these.
240
580215
2227
09:42
To see that, let's turn the brain around
241
582442
1519
09:43
and look on the inside surface on the bottom,
242
583961
2019
09:45
and there it is, that's my face area.
243
585980
2305
09:48
Just to the right of that is another region
244
588285
2707
09:50
that is shown in purple
245
590992
1638
09:52
that responds when you process color information,
246
592630
3072
09:55
and near those regions are other regions
247
595702
2691
09:58
that are involved in perceiving places,
248
598393
2363
10:00
like right now, I'm seeing this layout of space around me
249
600756
2838
10:03
and these regions in green right there
250
603594
1752
10:05
are really active.
251
605346
1274
10:06
There's another one out on the outside surface again
252
606620
2370
10:08
where there's a couple more face regions as well.
253
608990
2805
10:11
Also in this vicinity
254
611795
2345
10:14
is a region that's selectively involved
255
614140
1645
10:15
in processing visual motion,
256
615785
1936
10:17
like these moving dots here,
257
617721
1504
10:19
and that's in yellow at the bottom of the brain,
258
619225
2689
10:21
and near that is a region that responds
259
621914
3168
10:25
when you look at images of bodies and body parts
260
625082
2897
10:27
like these, and that region is shown in lime green
261
627979
2745
10:30
at the bottom of the brain.
262
630724
2003
10:32
Now all these regions I've shown you so far
263
632727
2632
10:35
are involved in specific aspects of visual perception.
264
635359
4432
10:39
Do we also have specialized brain regions
265
639791
2148
10:41
for other senses, like hearing?
266
641939
2813
10:44
Yes, we do. So if we turn the brain around a little bit,
267
644752
3037
10:47
here's a region in dark blue
268
647789
2401
10:50
that we reported just a couple of months ago,
269
650190
2346
10:52
and this region responds strongly
270
652536
1634
10:54
when you hear sounds with pitch, like these.
271
654170
3429
10:57
(Sirens)
272
657599
2143
10:59
(Cello music)
273
659742
2081
11:01
(Doorbell)
274
661823
1917
11:03
In contrast, that same region does not respond strongly
275
663740
3608
11:07
when you hear perfectly familiar sounds
276
667348
1562
11:08
that don't have a clear pitch, like these.
277
668910
2362
11:11
(Chomping)
278
671272
2469
11:13
(Drum roll)
279
673741
2200
11:15
(Toilet flushing)
280
675941
2767
11:18
Okay. Next to the pitch region
281
678708
2498
11:21
is another set of regions that are selectively responsive
282
681206
2474
11:23
when you hear the sounds of speech.
283
683680
2765
11:26
Okay, now let's look at these same regions.
284
686445
1840
11:28
In my left hemisphere, there's a similar arrangement —
285
688285
2468
11:30
not identical, but similar —
286
690753
1473
11:32
and most of the same regions are in here,
287
692226
2209
11:34
albeit sometimes different in size.
288
694435
2002
11:36
Now, everything I've shown you so far
289
696437
2014
11:38
are regions that are involved in different aspects of perception,
290
698451
3026
11:41
vision and hearing.
291
701477
1833
11:43
Do we also have specialized brain regions
292
703310
1660
11:44
for really fancy, complicated mental processes?
293
704970
3435
11:48
Yes, we do.
294
708405
1429
11:49
So here in pink are my language regions.
295
709834
3389
11:53
So it's been known for a very long time
296
713223
1428
11:54
that that general vicinity of the brain
297
714651
2035
11:56
is involved in processing language,
298
716686
2193
11:58
but we showed very recently
299
718879
1732
12:00
that these pink regions
300
720611
1710
12:02
respond extremely selectively.
301
722321
2205
12:04
They respond when you understand the meaning of a sentence,
302
724526
2812
12:07
but not when you do other complex mental things,
303
727338
2838
12:10
like mental arithmetic
304
730176
2179
12:12
or holding information in memory
305
732355
2396
12:14
or appreciating the complex structure
306
734751
2655
12:17
in a piece of music.
307
737406
2284
12:21
The most amazing region that's been found yet
308
741664
2889
12:24
is this one right here in turquoise.
309
744553
3307
12:27
This region responds
310
747860
2190
12:30
when you think about what another person is thinking.
311
750050
4268
12:34
So that may seem crazy,
312
754318
1644
12:35
but actually, we humans do this all the time.
313
755962
3868
12:39
You're doing this when you realize
314
759830
2193
12:42
that your partner is going to be worried
315
762023
1631
12:43
if you don't call home to say you're running late.
316
763654
2507
12:46
I'm doing this with that region of my brain right now
317
766161
3469
12:49
when I realize that you guys
318
769630
2281
12:51
are probably now wondering about
319
771911
1598
12:53
all that gray, uncharted territory in the brain,
320
773509
2547
12:56
and what's up with that?
321
776056
1964
12:58
Well, I'm wondering about that too,
322
778020
1685
12:59
and we're running a bunch of experiments in my lab right now
323
779705
2395
13:02
to try to find a number of other
324
782100
2013
13:04
possible specializations in the brain
325
784113
2032
13:06
for other very specific mental functions.
326
786145
3368
13:09
But importantly, I don't think we have
327
789513
2621
13:12
specializations in the brain
328
792134
1564
13:13
for every important mental function,
329
793698
2746
13:16
even mental functions that may be critical for survival.
330
796444
3409
13:19
In fact, a few years ago,
331
799853
2102
13:21
there was a scientist in my lab
332
801955
1117
13:23
who became quite convinced
333
803072
1409
13:24
that he'd found a brain region
334
804481
1749
13:26
for detecting food,
335
806230
1912
13:28
and it responded really strongly in the scanner
336
808142
1918
13:30
when people looked at images like this.
337
810060
2728
13:32
And further, he found a similar response
338
812788
2912
13:35
in more or less the same location
339
815700
1939
13:37
in 10 out of 12 subjects.
340
817639
2001
13:39
So he was pretty stoked,
341
819640
2294
13:41
and he was running around the lab
342
821934
1260
13:43
telling everyone that he was going to go on "Oprah"
343
823194
2002
13:45
with his big discovery.
344
825196
2018
13:47
But then he devised the critical test:
345
827214
3022
13:50
He showed subjects images of food like this
346
830236
3183
13:53
and compared them to images with very similar
347
833419
2741
13:56
color and shape, but that weren't food, like these.
348
836160
3810
13:59
And his region responded the same
349
839970
2131
14:02
to both sets of images.
350
842101
1949
14:04
So it wasn't a food area,
351
844050
1327
14:05
it was just a region that liked colors and shapes.
352
845377
2771
14:08
So much for "Oprah."
353
848148
2561
14:12
But then the question, of course, is,
354
852483
2225
14:14
how do we process all this other stuff
355
854708
2126
14:16
that we don't have specialized brain regions for?
356
856834
2970
14:19
Well, I think the answer is that in addition
357
859804
1811
14:21
to these highly specialized components that I've been describing,
358
861615
3554
14:25
we also have a lot of very general- purpose machinery in our heads
359
865169
3679
14:28
that enables us to tackle
360
868848
1494
14:30
whatever problem comes along.
361
870342
2106
14:32
In fact, we've shown recently that
362
872448
2055
14:34
these regions here in white
363
874503
2068
14:36
respond whenever you do any difficult mental task
364
876571
3411
14:39
at all —
365
879982
1101
14:41
well, of the seven that we've tested.
366
881083
3571
14:44
So each of the brain regions that I've described
367
884654
2169
14:46
to you today
368
886823
1306
14:48
is present in approximately the same location
369
888129
2767
14:50
in every normal subject.
370
890896
1742
14:52
I could take any of you,
371
892638
1623
14:54
pop you in the scanner,
372
894261
1226
14:55
and find each of those regions in your brain,
373
895487
2285
14:57
and it would look a lot like my brain,
374
897772
1905
14:59
although the regions would be slightly different
375
899677
2070
15:01
in their exact location and in their size.
376
901747
3564
15:05
What's important to me about this work
377
905311
2365
15:07
is not the particular locations of these brain regions,
378
907676
2969
15:10
but the simple fact that we have
379
910645
2587
15:13
selective, specific components of mind and brain
380
913232
2568
15:15
in the first place.
381
915800
1648
15:17
I mean, it could have been otherwise.
382
917448
2011
15:19
The brain could have been a single,
383
919459
2441
15:21
general-purpose processor,
384
921900
1495
15:23
more like a kitchen knife
385
923395
1472
15:24
than a Swiss Army knife.
386
924867
1683
15:26
Instead, what brain imaging has delivered
387
926550
3111
15:29
is this rich and interesting picture of the human mind.
388
929661
3846
15:33
So we have this picture of very general-purpose
389
933507
2463
15:35
machinery in our heads
390
935970
1070
15:37
in addition to this surprising array
391
937040
2357
15:39
of very specialized components.
392
939397
3435
15:43
It's early days in this enterprise.
393
943712
2153
15:45
We've painted only the first brushstrokes
394
945865
2776
15:48
in our neural portrait of the human mind.
395
948641
2927
15:51
The most fundamental questions remain unanswered.
396
951568
3082
15:54
So for example, what does each of these regions do exactly?
397
954650
3800
15:58
Why do we need three face areas
398
958450
2142
16:00
and three place areas,
399
960592
1465
16:02
and what's the division of labor between them?
400
962057
2868
16:04
Second, how are all these things
401
964925
2693
16:07
connected in the brain?
402
967618
1712
16:09
With diffusion imaging,
403
969330
1587
16:10
you can trace bundles of neurons
404
970917
2179
16:13
that connect to different parts of the brain,
405
973096
2575
16:15
and with this method shown here,
406
975671
1631
16:17
you can trace the connections of individual neurons in the brain,
407
977302
3697
16:20
potentially someday giving us a wiring diagram
408
980999
2718
16:23
of the entire human brain.
409
983717
2066
16:25
Third, how does all of this
410
985783
2047
16:27
very systematic structure get built,
411
987830
3149
16:30
both over development in childhood
412
990979
2956
16:33
and over the evolution of our species?
413
993935
2812
16:36
To address questions like that,
414
996747
1900
16:38
scientists are now scanning
415
998647
1783
16:40
other species of animals,
416
1000430
2157
16:42
and they're also scanning human infants.
417
1002587
5386
16:48
Many people justify the high cost of neuroscience research
418
1008931
3651
16:52
by pointing out that it may help us someday
419
1012582
2754
16:55
to treat brain disorders like Alzheimer's and autism.
420
1015336
3457
16:58
That's a hugely important goal,
421
1018793
1947
17:00
and I'd be thrilled if any of my work contributed to it,
422
1020740
3221
17:03
but fixing things that are broken in the world
423
1023961
2998
17:06
is not the only thing that's worth doing.
424
1026959
2801
17:09
The effort to understand the human mind and brain
425
1029760
3228
17:12
is worthwhile even if it never led to the treatment
426
1032988
2818
17:15
of a single disease.
427
1035806
1677
17:17
What could be more thrilling
428
1037483
2037
17:19
than to understand the fundamental mechanisms
429
1039520
3141
17:22
that underlie human experience,
430
1042661
2296
17:24
to understand, in essence, who we are?
431
1044957
2926
17:27
This is, I think, the greatest scientific quest
432
1047883
3449
17:31
of all time.
433
1051332
2713
17:34
(Applause)
434
1054045
5470
About this website

This site will introduce you to YouTube videos that are useful for learning English. You will see English lessons taught by top-notch teachers from around the world. Double-click on the English subtitles displayed on each video page to play the video from there. The subtitles scroll in sync with the video playback. If you have any comments or requests, please contact us using this contact form.

https://forms.gle/WvT1wiN1qDtmnspy7