What happens in your brain when you pay attention? | Mehdi Ordikhani-Seyedlar
399,457 views ・ 2017-07-12
請雙擊下方英文字幕播放視頻。
譯者: 易帆 余
審譯者: Yanyan Hong
00:12
Paying close attention to something:
0
12580
2480
專心注意某件事,
00:15
Not that easy, is it?
1
15100
1240
並不簡單,對吧?
00:17
It's because our attention is pulled
in so many different directions at a time,
2
17340
5016
這是因為我們的注意力
同時會被很多不同的東西干擾。
00:22
and it's in fact pretty impressive
if you can stay focused.
3
22380
4080
而且如果你還能保持專注,
真的會令人感到佩服。
00:28
Many people think that attention
is all about what we are focusing on,
4
28180
4056
許多人認為注意力與
我們所專注的東西有關,
00:32
but it's also about what information
our brain is trying to filter out.
5
32260
4800
而實際上與我們的大腦
過濾出甚麼有關。
00:38
There are two ways
you direct your attention.
6
38140
2720
有兩種方式主導了你的注意力。
00:41
First, there's overt attention.
7
41420
1560
首先是外顯注意力。
00:43
In overt attention,
you move your eyes towards something
8
43460
4136
在外顯注意力中,
你的眼睛會隨著物品移動,
00:47
in order to pay attention to it.
9
47620
1560
好讓你可以專注於這個物品。
00:50
Then there's covert attention.
10
50180
1976
然後就是內隱注意力。
00:52
In covert attention,
you pay attention to something,
11
52180
4016
在內隱注意力中,
你無需移動你的眼睛,
就能注意到某樣東西。
00:56
but without moving your eyes.
12
56220
1560
00:58
Think of driving for a second.
13
58860
1640
想像一下你在開車的時候,
01:02
Your overt attention,
your direction of the eyes,
14
62780
3016
你的外顯注意力,
也就是你眼睛的方向
01:05
are in front,
15
65820
1656
都在前方。
01:07
but that's your covert attention
16
67500
1776
但你的內隱注意力
01:09
which is constantly scanning
the surrounding area,
17
69300
3080
會不斷地掃視周圍環境,
01:13
where you don't actually look at them.
18
73420
1880
而實際上你並不會
刻意去看周圍環境。
01:17
I'm a computational neuroscientist,
19
77339
1937
我是一名計算神經科學家,
01:19
and I work on cognitive
brain-machine interfaces,
20
79300
3096
致力於研究認知腦機介面,
01:22
or bringing together
the brain and the computer.
21
82420
3040
或者也可以說人腦和電腦結合。
01:26
I love brain patterns.
22
86540
1600
我很喜歡看大腦圖型,
01:28
Brain patterns are important for us
23
88540
1696
大腦圖型對於我們來說很重要,
01:30
because based on them
we can build models for the computers,
24
90260
3496
因為有了它們,
我們可以在電腦內建立模型,
01:33
and based on these models
25
93780
1416
然後基於這些模型,
01:35
computers can recognize
how well our brain functions.
26
95220
4216
電腦可以識別出
我們的大腦運作的好不好。
01:39
And if it doesn't function well,
27
99460
1600
如果大腦不能很好地運作,
01:41
then these computers themselves
can be used as assistive devices
28
101900
3920
這些電腦就可以成為
治療的輔助裝置。
01:46
for therapies.
29
106580
1200
01:48
But that also means something,
30
108300
1640
但這也意味著
01:51
because choosing the wrong patterns
31
111180
2496
如果選擇了錯誤的圖型,
01:53
will give us the wrong models
32
113700
1896
我們就會建立出錯誤的模式,
01:55
and therefore the wrong therapies.
33
115620
1656
結果會導致錯誤的治療方法。
01:57
Right?
34
117300
1200
對吧?
01:59
In case of attention,
35
119460
1656
關於注意力,
02:01
the fact that we can
36
121140
1280
事實上我們不僅可以
02:03
shift our attention not only by our eyes
37
123620
3496
透過眼睛來轉移注意力,
02:07
but also by thinking --
38
127140
1320
還可以透過思考......
02:09
that makes covert attention
an interesting model for computers.
39
129260
4080
讓內隱注意力
變成電腦裡一個有趣的模式。
02:14
So I wanted to know
what are the brainwave patterns
40
134100
3456
因此我會想知道,
當你在外顯或內隱觀察時,
02:17
when you look overtly
or when you look covertly.
41
137580
3680
腦波圖型會有什麽變化。
02:22
I set up an experiment for that.
42
142260
1760
我為此建立了一個實驗。
02:24
In this experiment
there are two flickering squares,
43
144780
2736
實驗中會有兩個正在閃爍的方塊,
02:27
one of them flickering
at a slower rate than the other one.
44
147540
3360
其中一個方塊
閃爍的速度比另一個慢。
02:32
Depending on which of these flickers
you are paying attention to,
45
152420
3816
看你是專注在哪一個方塊,
02:36
certain parts of your brain
will start resonating in the same rate
46
156260
3960
你大腦的某個區域
就會同時產生反應,
反應的頻率就跟閃爍頻率一樣。
02:41
as that flickering rate.
47
161020
1440
02:43
So by analyzing your brain signals,
48
163820
2936
所以透過分析你的大腦信號,
02:46
we can track where exactly
you are watching
49
166780
3040
我們就可以追蹤到
你正在看哪裡
02:50
or you are paying attention to.
50
170580
1560
或者你正在專注哪個地方。
02:54
So to see what happens in your brain
when you pay overt attention,
51
174820
4216
所以為了想要看看你在運用
外顯注意力時大腦裡發生的情況,
02:59
I asked people to look directly
in one of the squares
52
179060
3256
我會要求實驗者,
直接看著其中一個方塊
03:02
and pay attention to it.
53
182340
1280
並專注地看。
03:04
In this case, not surprisingly,
we saw that these flickering squares
54
184580
5296
在實驗中,毫無意外地,
我們看到了這些閃爍的信號
03:09
appeared in their brain signals
55
189900
1936
出現在大腦中,
03:11
which was coming
from the back of their head,
56
191860
2360
這些信號是從頭部後方發出來的,
03:15
which is responsible for the processing
of your visual information.
57
195380
3400
而這個地方就是負責處理
視覺信息的地方。
03:20
But I was really interested
58
200100
2336
但我真正有興趣的是:
03:22
to see what happens in your brain
when you pay covert attention.
59
202460
3160
當你在運用內隱注意力時
大腦裡會發生的情況。
03:26
So this time I asked people
to look in the middle of the screen
60
206300
3896
所以這一次,我要求實驗者
看著螢幕的正中間,
03:30
and without moving their eyes,
61
210220
1880
而且不能移動眼睛。
03:32
to pay attention
to either of these squares.
62
212940
2720
這樣就能夠注意到
其中一個方塊。
03:36
When we did that,
63
216940
1616
當我們這樣實驗時,
03:38
we saw that both of these flickering rates
appeared in their brain signals,
64
218580
3936
我們觀察到兩個閃爍方塊的頻率
都出現在他們的大腦信號,
03:42
but interestingly,
65
222540
1200
但有趣的是,
03:44
only one of them,
which was paid attention to,
66
224460
3536
被投以關注的其中一個方塊
信號更加強烈,
03:48
had stronger signals,
67
228020
1656
03:49
so there was something in the brain
68
229700
2256
因此大腦裡有某樣東西
03:51
which was handling this information
69
231980
2536
正在負責處理這類的信息。
03:54
so that thing in the brain was basically
the activation of the frontal area.
70
234540
6200
而這個東西基本上就在
大腦的前額活動區。
04:02
The front part of your brain
is responsible
71
242260
2976
大腦的前半部負責
04:05
for higher cognitive functions as a human.
72
245260
2880
人類較高層次的認知功能。
04:08
The frontal part,
it seems that it works as a filter
73
248980
4440
大腦前額區的運作方式
就像過濾器,
04:14
trying to let information come in
only from the right flicker
74
254460
4376
它會嘗試著把你所專注的方塊信號
04:18
that you are paying attention to
75
258860
1640
發進大腦裡,
04:21
and trying to inhibit the information
coming from the ignored one.
76
261220
3960
同時也會把忽略的信號給屏蔽掉。
04:27
The filtering ability of the brain
is indeed a key for attention,
77
267220
5296
大腦的過濾能力
就是注意力產生的關鍵,
04:32
which is missing in some people,
78
272540
2776
這種能力在某些人身上是缺乏的,
04:35
for example in people with ADHD.
79
275340
2480
比如說,有注意力不足過動症的人
04:38
So a person with ADHD
cannot inhibit these distractors,
80
278460
5016
因而有注意力不足過動症的人
無法抑制住這些干擾信號,
04:43
and that's why they can't focus
for a long time on a single task.
81
283500
4760
這就是他們不能
長時間專注於某一任務的原因。
04:49
But what if this person
82
289420
1536
但如果這個人
04:50
could play a specific computer game
83
290980
3536
可以玩一種特定的電腦遊戲,
04:54
with his brain connected to the computer,
84
294540
2880
讓他的大腦與電腦連接,
04:58
and then train his own brain
85
298260
2120
然後訓練他自己的大腦
05:01
to inhibit these distractors?
86
301180
2440
去抑制這些干擾信號呢?
05:05
Well, ADHD is just one example.
87
305500
2480
是的,注意力不足過動症
只是其中一個例子。
05:09
We can use these cognitive
brain-machine interfaces
88
309020
3256
我們可以把這些認知腦機介面
05:12
for many other cognitive fields.
89
312300
2200
運用到其它的認知領域中。
05:15
It was just a few years ago
90
315580
1776
就在幾年前,
05:17
that my grandfather had a stroke,
and he lost complete ability to speak.
91
317380
5720
我祖父中風了,
他完全喪失了說話的能力。
05:24
He could understand everybody,
but there was no way to respond,
92
324460
3336
他能聽見任何人的聲音,
但無法作出回應,
05:27
even not writing
because he was illiterate.
93
327820
2480
也寫不出來,因為他不識字。
05:31
So he passed away in silence.
94
331820
2520
最後他安靜地離開了人世。
05:36
I remember thinking at that time:
95
336620
2336
我記得,當時我正在想:
05:38
What if we could have a computer
96
338980
3896
假如我們有一台電腦
05:42
which could speak for him?
97
342900
1360
可以替他講話會是怎樣呢?
05:45
Now, after years that I am in this field,
98
345660
2216
幾年後,我投入這個領域
05:47
I can see that this might be possible.
99
347900
2320
我能預見,這是有可能的。
05:52
Imagine if we can find brainwave patterns
100
352060
2856
想像一下,如果我們可以
在想像圖片或文字時
05:54
when people think
about images or even letters,
101
354940
3440
找出腦波圖型,
05:59
like the letter A generates
a different brainwave pattern
102
359540
2936
像是字母 A 形成的腦波圖型
06:02
than the letter B, and so on.
103
362500
1720
與字母 B 的不一樣,諸如此類的。
06:04
Could a computer one day
communicate for people who can't speak?
104
364780
3680
那麼,電腦會不會有一天,
就能為那些無法說話的人發聲?
06:09
What if a computer
105
369460
1440
如果電腦
06:11
can help us understand
the thoughts of a person in a coma?
106
371780
4560
能幫助我們了解處於昏迷狀態中的
人的想法又會是怎樣呢?
06:17
We are not there yet,
107
377660
1616
我們還沒有實現那樣的願景,
06:19
but pay close attention.
108
379300
2736
但我們會極度關注。
06:22
We will be there soon.
109
382060
1696
我們很快就能將其實現。
06:23
Thank you.
110
383780
1496
謝謝。
06:25
(Applause)
111
385300
5632
(掌聲)
New videos
Original video on YouTube.com
關於本網站
本網站將向您介紹對學習英語有用的 YouTube 視頻。 您將看到來自世界各地的一流教師教授的英語課程。 雙擊每個視頻頁面上顯示的英文字幕,從那裡播放視頻。 字幕與視頻播放同步滾動。 如果您有任何意見或要求,請使用此聯繫表與我們聯繫。