
Browse content similar to Blink: A Horizon Guide to the Senses. Check below for episodes and series from the same categories and more!
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|---|---|---|---|
Touch...sight...smell... | 0:00:02 | 0:00:06 | |
hearing...and taste. | 0:00:06 | 0:00:09 | |
The rich sounds of a symphony orchestra. | 0:00:11 | 0:00:15 | |
The visual splendour of the natural world. | 0:00:15 | 0:00:19 | |
The subtle notes of a fine wine. | 0:00:19 | 0:00:22 | |
Our senses help define what it means to be human. | 0:00:23 | 0:00:27 | |
Ugh! | 0:00:27 | 0:00:29 | |
In the animal kingdom, | 0:00:31 | 0:00:32 | |
we're alone in seeking out pure sensory pleasure. | 0:00:32 | 0:00:36 | |
Lovely day, innit? Beautiful. | 0:00:36 | 0:00:39 | |
But they give us far more than just an appreciation of beauty. | 0:00:39 | 0:00:43 | |
METRONOME TICKS | 0:00:45 | 0:00:47 | |
Every second our senses gather | 0:00:47 | 0:00:49 | |
millions of details about the world around us, | 0:00:49 | 0:00:52 | |
feeding our brains a constant stream of information. | 0:00:52 | 0:00:55 | |
RINGING, EXPLOSION | 0:00:55 | 0:00:57 | |
By interpreting those signals, we can feel the lightest touch, | 0:00:57 | 0:01:01 | |
hear the quietest sound. | 0:01:01 | 0:01:03 | |
They're our only link with the outside world. | 0:01:03 | 0:01:07 | |
Every experience we have is entirely shaped by our senses. | 0:01:07 | 0:01:13 | |
For over 40 years, Horizon and the BBC | 0:01:14 | 0:01:17 | |
have followed science's bid to learn how our senses decipher the world... | 0:01:17 | 0:01:22 | |
Bar. Bar. Bar. | 0:01:24 | 0:01:28 | |
I've seen stimuli thousands and thousands of times | 0:01:28 | 0:01:31 | |
'but the effect still works on me. I can't help it.' | 0:01:31 | 0:01:34 | |
Bar. Bar. | 0:01:34 | 0:01:35 | |
..discovering how they equip us for survival... | 0:01:35 | 0:01:38 | |
The eyes are moving about all the time. | 0:01:38 | 0:01:41 | |
They're darting around three times a second. | 0:01:41 | 0:01:44 | |
..and charting the advance of pioneering technology | 0:01:44 | 0:01:47 | |
that could step in if our senses fail. | 0:01:47 | 0:01:50 | |
BUZZER SOUNDS | 0:01:50 | 0:01:53 | |
-Good boy. -Well done. | 0:01:53 | 0:01:55 | |
Now we're going back into the archives... | 0:01:55 | 0:01:59 | |
This is BBC Two. | 0:01:59 | 0:02:01 | |
..to reveal how our understanding of the senses has changed... | 0:02:01 | 0:02:05 | |
As you look at me now, | 0:02:05 | 0:02:06 | |
what I really look like is this on the back of your retina. | 0:02:06 | 0:02:10 | |
..so we can begin to answer the disarmingly simple question - | 0:02:10 | 0:02:13 | |
how DO we sense the world around us? | 0:02:13 | 0:02:17 | |
Have you ever wondered how you'd cope | 0:02:29 | 0:02:31 | |
without the steady flow of information coming from your senses? | 0:02:31 | 0:02:35 | |
In 2008, a bold experiment investigated sensory deprivation. | 0:02:40 | 0:02:45 | |
Six volunteers were taken deep inside a nuclear bunker... | 0:02:48 | 0:02:51 | |
Oh, wow. That's bleak. | 0:02:51 | 0:02:55 | |
..and kept in dark rooms for 48 hours with nothing to see or hear. | 0:02:55 | 0:03:00 | |
OK, Mickey, so, going to turn the light off now. | 0:03:03 | 0:03:05 | |
-We'll see you a bit later on. -OK, thanks. See you later. -Take care. | 0:03:05 | 0:03:08 | |
The lack of sensory information had a dramatic effect. | 0:03:10 | 0:03:14 | |
Oh, it's getting tough now. | 0:03:16 | 0:03:18 | |
This is harder than I thought. I don't know if I can do this. | 0:03:19 | 0:03:22 | |
HE LAUGHS | 0:03:22 | 0:03:23 | |
HE MUTTERS TO HIMSELF | 0:03:23 | 0:03:26 | |
After 30 hours with no external stimuli, | 0:03:28 | 0:03:31 | |
they began to invent their own. | 0:03:31 | 0:03:33 | |
Oh, God, I'm losing it now. Tim, I'm hallucinating. | 0:03:35 | 0:03:38 | |
By the end of the two-day experiment, | 0:03:48 | 0:03:51 | |
the volunteers had become anxious. | 0:03:51 | 0:03:54 | |
I think I'm hitting a wall now in my mind. | 0:03:55 | 0:03:58 | |
And tests showed that their reasoning skills | 0:04:00 | 0:04:03 | |
and short-term memory were temporarily impaired. | 0:04:03 | 0:04:07 | |
Sensory deprivation had robbed them of their ability to make sense of the world. | 0:04:07 | 0:04:12 | |
-Hello. -Oooh! | 0:04:12 | 0:04:14 | |
In fact, it can have such a severe effect that it has been used as a form of torture. | 0:04:14 | 0:04:19 | |
God, I never thought a nuclear bunker would look so beautiful. | 0:04:19 | 0:04:23 | |
We're obviously not alone in being so reliant on our senses. | 0:04:29 | 0:04:34 | |
All animals share the ability to sense the world outside | 0:04:36 | 0:04:40 | |
but how they do that and the information that they gather varies wildly between species. | 0:04:40 | 0:04:45 | |
Butterflies have special cells in their feet | 0:04:45 | 0:04:47 | |
that allow them to taste everything that they land on, | 0:04:47 | 0:04:50 | |
while bees are attracted to the ultraviolet patterns of light that they see on flowers, | 0:04:50 | 0:04:55 | |
and birds can navigate by detecting the magnetic field of the Earth. | 0:04:55 | 0:05:00 | |
But all of those senses share a common purpose. | 0:05:00 | 0:05:03 | |
And that's survival. | 0:05:03 | 0:05:06 | |
Over millions of years, the senses of every animal have evolved | 0:05:10 | 0:05:14 | |
to solve life's most vital problems - | 0:05:14 | 0:05:17 | |
how to reproduce and avoid danger. | 0:05:17 | 0:05:21 | |
For many animals, their primary survival weapon | 0:05:25 | 0:05:28 | |
is their powerful sense of smell. | 0:05:28 | 0:05:30 | |
One of the hamster's babies is taken out of the nest | 0:05:43 | 0:05:46 | |
and as soon as she realises | 0:05:46 | 0:05:47 | |
he is missing, she hurries out to bring him home. | 0:05:47 | 0:05:50 | |
On the other hand, if a baby mouse is taken from its home | 0:05:57 | 0:06:00 | |
and you put it near the hamster's nest, | 0:06:00 | 0:06:02 | |
her reaction is quite different. | 0:06:02 | 0:06:04 | |
To her, it's food. | 0:06:10 | 0:06:13 | |
While mother hamster is away, | 0:06:17 | 0:06:19 | |
a tiny mouse is put into the nest along with her own offspring. | 0:06:19 | 0:06:22 | |
The purpose is to dress the baby mouse in hamster clothing, or, | 0:06:22 | 0:06:26 | |
in this case, hamster smell. | 0:06:26 | 0:06:28 | |
If, after only a quarter of an hour in the nest | 0:06:31 | 0:06:34 | |
along with the hamster babies, | 0:06:34 | 0:06:36 | |
the mouse is taken away and stranded like the other was | 0:06:36 | 0:06:38 | |
on the far side of the cage, | 0:06:38 | 0:06:39 | |
what will happen when mother hamster is returned to the scene? | 0:06:39 | 0:06:44 | |
Her reaction is blindly automatic. It looks nothing like her babies. | 0:06:51 | 0:06:56 | |
It is pink and naked. But now it has the right smell. | 0:06:56 | 0:06:59 | |
This time, the baby mouse is safe | 0:07:02 | 0:07:05 | |
because smell signals are so critical to the hamster | 0:07:05 | 0:07:08 | |
they override all other signs that the mouse doesn't belong. | 0:07:08 | 0:07:12 | |
Smell is a key communication tool | 0:07:18 | 0:07:22 | |
and many animals emit chemical smell messages called pheromones | 0:07:22 | 0:07:25 | |
to signal that they're ready to mate. | 0:07:25 | 0:07:29 | |
He's a big heavy animal | 0:07:33 | 0:07:34 | |
and successful mating is no light task for his lady friend. | 0:07:34 | 0:07:38 | |
She'll only stand in the arched posture that will support him | 0:07:38 | 0:07:41 | |
if she's both in a receptive state and receiving the pheromone. | 0:07:41 | 0:07:44 | |
If you remove the boar's scent gland, she won't stand. | 0:07:47 | 0:07:51 | |
It seems to be an automatic response on her part to his chemical message. | 0:07:51 | 0:07:54 | |
On a farm where there are no boars | 0:08:01 | 0:08:02 | |
and they use artificial insemination, | 0:08:02 | 0:08:04 | |
a pig man can broadcast fake messages. | 0:08:04 | 0:08:08 | |
A squirt of factory-made canned boar taint. | 0:08:15 | 0:08:18 | |
Now she's getting both signals - | 0:08:18 | 0:08:20 | |
the weight on her back and the chemical. | 0:08:20 | 0:08:22 | |
She does stand so it means everything is exactly right to inseminate her. | 0:08:22 | 0:08:26 | |
Sexual signals... | 0:08:34 | 0:08:36 | |
..finding your way by following a smell trail... | 0:08:39 | 0:08:41 | |
..alarms, the recognition of friends or enemies... | 0:08:44 | 0:08:48 | |
..all these are functions that smell messages perform. | 0:08:50 | 0:08:54 | |
Smell and taste are closely linked. | 0:08:55 | 0:08:58 | |
Together they act as a warning system | 0:08:58 | 0:09:00 | |
and can help an animal decide what's safe to eat and what isn't. | 0:09:00 | 0:09:06 | |
This footage of wolves eating a dead sheep was filmed in the 1980s | 0:09:10 | 0:09:15 | |
by a team of American scientists | 0:09:15 | 0:09:17 | |
trying to prevent wolf attacks on sheep. | 0:09:17 | 0:09:20 | |
The scientists put a pill | 0:09:22 | 0:09:24 | |
containing a mild poison into a piece of mutton wrapped in sheep hide. | 0:09:24 | 0:09:27 | |
Within half an hour of eating the bait, the wolves started to vomit. | 0:09:29 | 0:09:33 | |
Several days later, a live sheep was put into the pen with the wolves. | 0:09:36 | 0:09:41 | |
You'd expect it to be pulled apart. | 0:09:43 | 0:09:46 | |
But after just one nip, the wolves backed off, | 0:09:48 | 0:09:51 | |
having learnt that the smell and taste of sheep now represented danger. | 0:09:51 | 0:09:56 | |
Ugh. | 0:10:07 | 0:10:09 | |
Humans are less reliant on their sense of smell than most animals. | 0:10:09 | 0:10:13 | |
But we still use it instinctively to recognise potential danger. | 0:10:13 | 0:10:18 | |
By the time it smells off, | 0:10:18 | 0:10:21 | |
rotting meat contains such high levels of bacteria | 0:10:21 | 0:10:24 | |
that eating it could be fatal. | 0:10:24 | 0:10:26 | |
HE GAGS | 0:10:26 | 0:10:28 | |
So we find the smell disgusting | 0:10:28 | 0:10:30 | |
to stop us putting rotting flesh anywhere near our mouths. | 0:10:30 | 0:10:34 | |
Ugh. | 0:10:34 | 0:10:37 | |
Oh. Hideous. | 0:10:37 | 0:10:39 | |
Smell became less important to us once we evolved to stand upright. | 0:10:42 | 0:10:47 | |
The best noses stay close to the ground. | 0:10:47 | 0:10:51 | |
Nothing at all. | 0:10:51 | 0:10:52 | |
-You can't smell them? -Not at all, no. | 0:10:52 | 0:10:55 | |
So if not smell, which of our senses do we depend upon the most? | 0:10:57 | 0:11:01 | |
BABY CRIES | 0:11:01 | 0:11:03 | |
At birth, many of our senses are still fuzzy. | 0:11:03 | 0:11:07 | |
Our eyes can't focus properly | 0:11:07 | 0:11:10 | |
and our ears just hear a roar of meaningless sounds. | 0:11:10 | 0:11:13 | |
So the sense we rely upon when we enter the world | 0:11:16 | 0:11:19 | |
is the one that offers the most direct link to it. | 0:11:19 | 0:11:22 | |
Touch. | 0:11:22 | 0:11:24 | |
BABY CRIES | 0:11:24 | 0:11:27 | |
At this stage, our capacity to feel | 0:11:27 | 0:11:30 | |
seems far more advanced than our capacity to use our other senses. | 0:11:30 | 0:11:34 | |
It provides the basis for our first understanding of someone else outside ourselves. | 0:11:39 | 0:11:45 | |
Without touch cells in our lips, moreover, | 0:11:57 | 0:12:00 | |
we would be denied the very source of life. | 0:12:00 | 0:12:02 | |
As we grow, touch remains an essential part of our development. | 0:12:10 | 0:12:14 | |
To understand its importance, scientists in the '60s and '70s | 0:12:16 | 0:12:21 | |
examined the effect of depriving other young primates of physical contact. | 0:12:21 | 0:12:26 | |
Individuals who do not have a reasonable background, | 0:12:28 | 0:12:32 | |
in terms of tactile stimulation, | 0:12:32 | 0:12:35 | |
often fail to form meaningful relationships. | 0:12:35 | 0:12:38 | |
The interactions tend to be unco-ordinated | 0:12:38 | 0:12:41 | |
and by and large they tend to be exceedingly aggressive. | 0:12:41 | 0:12:43 | |
They discovered that a lack of touch in the early years | 0:12:46 | 0:12:49 | |
could have a heavy impact on their emotional development. | 0:12:49 | 0:12:53 | |
For us, even as adults, | 0:12:55 | 0:12:58 | |
the briefest touch can have a surprisingly powerful effect. | 0:12:58 | 0:13:02 | |
At this library at Purdue University, Indiana, | 0:13:04 | 0:13:07 | |
a most curious experiment is being conducted. | 0:13:07 | 0:13:11 | |
When a book is checked out, the clerical procedure is boring, | 0:13:14 | 0:13:18 | |
mechanical and quite unremarkable. | 0:13:18 | 0:13:21 | |
The library clerk in this case is instructed to conduct this operation identically with everybody. | 0:13:21 | 0:13:26 | |
Her posture, gaze, vocabulary, voice tone and so on must be held constant. | 0:13:26 | 0:13:32 | |
The next encounter has just one difference. | 0:13:33 | 0:13:36 | |
The clerk touches the other person when handing back the identity card, | 0:13:36 | 0:13:40 | |
and the touch must be as fleeting and insignificant as possible. | 0:13:40 | 0:13:44 | |
-There you go. -Thanks. | 0:13:48 | 0:13:50 | |
Every reader is approached after the check-out | 0:13:52 | 0:13:54 | |
and asked to fill in a questionnaire about the library in general. | 0:13:54 | 0:13:58 | |
A brief interview then follows. | 0:13:58 | 0:14:01 | |
-Have you finished? -Yes. | 0:14:01 | 0:14:02 | |
Thank you. | 0:14:02 | 0:14:03 | |
We're particularly interested in how the clerk behaved. | 0:14:03 | 0:14:06 | |
-Did you notice whether the clerk smiled at you? -Yes, she did. | 0:14:06 | 0:14:10 | |
Did you notice whether she touched you? | 0:14:10 | 0:14:14 | |
I don't think she touched me. | 0:14:14 | 0:14:17 | |
OK. | 0:14:17 | 0:14:18 | |
Well, the librarian didn't smile, but she did touch. | 0:14:18 | 0:14:22 | |
The questionnaire was about the reader's feelings that day | 0:14:22 | 0:14:25 | |
about the library, librarians and other readers. | 0:14:25 | 0:14:27 | |
Typically, these are perceived as unremarkable | 0:14:27 | 0:14:30 | |
unless the person was touched. | 0:14:30 | 0:14:32 | |
Then perceptions become enthusiastic and quite vivid. | 0:14:32 | 0:14:35 | |
Professor Dick Heslin. | 0:14:35 | 0:14:36 | |
That kind of a touch has such potency as to actually change a person's mood | 0:14:36 | 0:14:41 | |
and even change their feeling towards something like a library, where it occurred. | 0:14:41 | 0:14:45 | |
The addition of one fleeting touch transformed this encounter. | 0:14:49 | 0:14:53 | |
-There you go. -Thanks. | 0:14:53 | 0:14:55 | |
So how might an experience be affected by removing sense? | 0:15:00 | 0:15:05 | |
In a fast ball game like squash, | 0:15:09 | 0:15:12 | |
you'd think the main thing was to keep your eye on the ball. | 0:15:12 | 0:15:15 | |
But a surprising amount of information comes through the ear, | 0:15:18 | 0:15:21 | |
as Suzanne is about to find out. | 0:15:21 | 0:15:24 | |
Suzanne Burgess is ranked 10th in the country for women's squash, | 0:15:26 | 0:15:30 | |
but even she will find it difficult playing under these conditions. | 0:15:30 | 0:15:33 | |
MUSIC PLAYS | 0:15:36 | 0:15:39 | |
The music conflicts with the sounds Suzanne would normally hear in the squash court | 0:15:48 | 0:15:52 | |
so she keeps missing the ball. | 0:15:52 | 0:15:55 | |
It was much more difficult because you couldn't tell how hard you were hitting the ball | 0:15:55 | 0:15:58 | |
and it slowed down your reaction time because you take a lot of signals from your hearing | 0:15:58 | 0:16:02 | |
that you don't really realise until you haven't got them there. | 0:16:02 | 0:16:05 | |
That experiment shows how our senses work together, | 0:16:08 | 0:16:11 | |
even when we're unaware of it, to give us a full picture of the world. | 0:16:11 | 0:16:16 | |
But of all the senses, | 0:16:21 | 0:16:23 | |
the one we've evolved to rely upon the most is vision. | 0:16:23 | 0:16:26 | |
The visual system is incredibly sophisticated. | 0:16:26 | 0:16:30 | |
With the briefest glance, it can extract the finest detail from a scene | 0:16:30 | 0:16:34 | |
and then process that information in a split second. | 0:16:34 | 0:16:37 | |
It's capable of distinguishing between millions of different colour hues, | 0:16:37 | 0:16:42 | |
assessing depth and distance, | 0:16:42 | 0:16:44 | |
of recognising faces and tracking moving objects. | 0:16:44 | 0:16:49 | |
Man is primarily a visual animal. | 0:16:54 | 0:16:57 | |
The eyes alone account for 70% of the total information reaching our brains. | 0:16:57 | 0:17:02 | |
Your brain seems to take visual information much more seriously | 0:17:05 | 0:17:10 | |
than information from your muscles and balancing mechanisms. | 0:17:10 | 0:17:12 | |
Here, the floor isn't moving at all, | 0:17:12 | 0:17:15 | |
only the walls are moved just a little. | 0:17:15 | 0:17:18 | |
That's quite enough to make the toddler fall down. | 0:17:20 | 0:17:23 | |
We use our eyes for more than just the obvious task of navigating the world. | 0:17:32 | 0:17:37 | |
Eye tracking software has shown how well our eyes scout out | 0:17:42 | 0:17:46 | |
potential mates without us even realising. | 0:17:46 | 0:17:50 | |
In this nightclub, | 0:17:51 | 0:17:53 | |
scientists have set up an experiment to see what people's eyes get up to. | 0:17:53 | 0:17:58 | |
These volunteers have agreed to wear a headset that will record every move their eyes make. | 0:17:58 | 0:18:04 | |
An eye tracker gives us the opportunity | 0:18:04 | 0:18:06 | |
to see where we're actually looking | 0:18:06 | 0:18:08 | |
and this is kind of important to record | 0:18:08 | 0:18:11 | |
because eyes are moving all the time. They're darting around three times a second | 0:18:11 | 0:18:14 | |
and we're certainly not aware of this | 0:18:14 | 0:18:16 | |
so we need some piece of equipment that will show us what's happening. | 0:18:16 | 0:18:19 | |
The volunteers think they're waiting to be tested by the psychologists, | 0:18:19 | 0:18:23 | |
but the real test is happening now. | 0:18:23 | 0:18:26 | |
The software will track their eye movements as they wait | 0:18:28 | 0:18:31 | |
next to a table of attractive models who have been planted there. | 0:18:31 | 0:18:35 | |
Afterwards, they're shown the results. | 0:18:39 | 0:18:42 | |
Here we are, | 0:18:42 | 0:18:44 | |
you check this guy's face as you walk by. | 0:18:44 | 0:18:47 | |
Did you realise you were looking at him? | 0:18:47 | 0:18:48 | |
No, I noticed someone over there laughing at me. That's all I did. | 0:18:48 | 0:18:53 | |
But not that particular person. | 0:18:53 | 0:18:56 | |
The volunteers thought they were just chatting with their friends | 0:18:56 | 0:18:59 | |
but the software reveals where their eyes were actually looking. | 0:18:59 | 0:19:02 | |
I'm really embarrassed! | 0:19:02 | 0:19:05 | |
I don't even know there was a guy in the bar with a camel coat on, | 0:19:05 | 0:19:08 | |
and yet I must have been sat looking at him. | 0:19:08 | 0:19:11 | |
Oh, my God! Oh, no! | 0:19:11 | 0:19:12 | |
So what's really happening as our eyes are checking out the world? | 0:19:21 | 0:19:26 | |
How are photons of light collected, then turned into moving pictures? | 0:19:27 | 0:19:31 | |
To understand its secrets, | 0:19:36 | 0:19:38 | |
scientists first probed the eye's physical properties. | 0:19:38 | 0:19:42 | |
How does an eye work? | 0:19:42 | 0:19:44 | |
Well, here's a model of an eye. | 0:19:44 | 0:19:46 | |
Supposing I turn this round, | 0:19:46 | 0:19:48 | |
you'd be able to see what the eye is like inside. | 0:19:48 | 0:19:51 | |
So light comes through this transparent skin, | 0:19:51 | 0:19:54 | |
through the hole in the iris, through the lens, | 0:19:54 | 0:19:57 | |
and right across the eye to the far side there, | 0:19:57 | 0:20:00 | |
which is called the retina - | 0:20:00 | 0:20:02 | |
a whole area of light-sensitive cells. | 0:20:02 | 0:20:06 | |
Studying the retina revealed that it's made up of millions of specialist cells | 0:20:09 | 0:20:13 | |
that respond to light and individual colours. | 0:20:13 | 0:20:17 | |
Keep staring at the screen at the dot in the centre of the flag. | 0:20:18 | 0:20:23 | |
In about 20 seconds, we'll take the pattern away | 0:20:23 | 0:20:26 | |
and the screen will go white. | 0:20:26 | 0:20:28 | |
But you should still see an image. | 0:20:28 | 0:20:30 | |
At this moment, we're not transmitting any image to you | 0:20:33 | 0:20:36 | |
but you should be seeing the Union Jack in its proper colours. | 0:20:36 | 0:20:39 | |
What's happening is that as you stare at the green area, | 0:20:42 | 0:20:45 | |
your green and blue cones get tired out and respond less than normally to the white screen, | 0:20:45 | 0:20:51 | |
but the red cones fire normally giving a red after-image, | 0:20:51 | 0:20:56 | |
and the yellow areas tire out the red and green cones, leaving blue. | 0:20:56 | 0:21:01 | |
As we learned more, | 0:21:11 | 0:21:12 | |
we became increasingly aware that the eye alone | 0:21:12 | 0:21:15 | |
couldn't explain the remarkable abilities of our visual system. | 0:21:15 | 0:21:19 | |
Being able to receive an image through the eye | 0:21:25 | 0:21:27 | |
is only the very beginning of the process. | 0:21:27 | 0:21:29 | |
For a long time, people thought simply that light came into the eye, | 0:21:30 | 0:21:34 | |
you've got the picture at the back of the eye, | 0:21:34 | 0:21:36 | |
and somehow the mind accepts that picture. | 0:21:36 | 0:21:40 | |
Almost like Brighton Rock. | 0:21:40 | 0:21:41 | |
You have a picture at one end, a picture at the other, that's all there is to it. | 0:21:41 | 0:21:44 | |
In fact, this is entirely wrong. | 0:21:44 | 0:21:47 | |
The difference is that you have to read the picture in the eye, | 0:21:47 | 0:21:51 | |
rather like reading the words in a book. | 0:21:51 | 0:21:53 | |
Steve, a player in an amateur basketball team. | 0:21:55 | 0:21:59 | |
Steve's noticed the ball and recognised it as a ball, | 0:22:02 | 0:22:05 | |
and now, like us, he's following the action with his eyes. | 0:22:05 | 0:22:10 | |
At the back of the eye, on the retina, | 0:22:10 | 0:22:13 | |
it's upside down, but that's the least of the problems. | 0:22:13 | 0:22:15 | |
Light levels vary wildly and it's also ambiguous. | 0:22:15 | 0:22:20 | |
There seems to be nothing there to tell you if the ball is enormous and far away | 0:22:20 | 0:22:23 | |
or small and close, or whether it's you, your eye, | 0:22:23 | 0:22:26 | |
or something in the scene which is moving. | 0:22:26 | 0:22:28 | |
When you look around the world, usually it looks nothing like this. | 0:22:34 | 0:22:38 | |
It looks so real. | 0:22:38 | 0:22:40 | |
It's hard to realise that what you see is not a picture at all, | 0:22:40 | 0:22:44 | |
but a description of the world in brain language. | 0:22:44 | 0:22:47 | |
Investigating the role of the brain | 0:22:52 | 0:22:55 | |
and how it processed the eye's signals was the next big challenge. | 0:22:55 | 0:22:59 | |
In the 1980s, the BBC replicated a classic experiment | 0:23:05 | 0:23:09 | |
that turned the world upside down | 0:23:09 | 0:23:11 | |
to see if the brain could still make sense of the images it received. | 0:23:11 | 0:23:16 | |
Susannah Fiennes is trained to look and to see. | 0:23:18 | 0:23:21 | |
What happens if the image in the eye is turned upright? | 0:23:21 | 0:23:24 | |
A pair of spectacles were made for her by an optician. | 0:23:27 | 0:23:31 | |
She was to wear them for a whole week, whenever her eyes were open. | 0:23:31 | 0:23:34 | |
They're obviously going to feel very strange at first, | 0:23:34 | 0:23:37 | |
that's only to be expected. | 0:23:37 | 0:23:39 | |
I can't quite see your face so it must... Oh, perhaps... | 0:23:41 | 0:23:45 | |
If I come down to your level, that might be easier. | 0:23:45 | 0:23:47 | |
How does that feel? OK? | 0:23:47 | 0:23:50 | |
Heavens, it's really peculiar! Now, just let me... | 0:23:56 | 0:24:00 | |
The image entering her eyes has been inverted. | 0:24:00 | 0:24:04 | |
I've just got to see if I can walk around a bit. | 0:24:04 | 0:24:08 | |
I'm being rational about this. | 0:24:09 | 0:24:11 | |
All right? Oh, no! | 0:24:11 | 0:24:15 | |
Erm...where is it? | 0:24:15 | 0:24:16 | |
Because I'm sure I'm holding the cup up. Oh, God. | 0:24:20 | 0:24:24 | |
Now I'm going to try and write my name normally | 0:24:24 | 0:24:29 | |
while I'm looking at it. | 0:24:29 | 0:24:31 | |
I can't think how I do it | 0:24:31 | 0:24:34 | |
because I don't really even know where to begin. | 0:24:34 | 0:24:37 | |
By the end of the experiment, Susannah's brain had adapted to the glasses | 0:24:41 | 0:24:45 | |
and she could once again see the world the right way up. | 0:24:45 | 0:24:48 | |
She'd learnt to re-interpret the world and the alien information | 0:24:53 | 0:24:57 | |
she was getting through her eyes in just one week, | 0:24:57 | 0:25:00 | |
and that shows you how hard the brain works to process visual messages. | 0:25:00 | 0:25:05 | |
Information from your eyes finds its way to the back of the brain | 0:25:05 | 0:25:08 | |
here, to the visual cortex, and it's at this location | 0:25:08 | 0:25:13 | |
that we form an image of the world to give us a picture that makes sense. | 0:25:13 | 0:25:17 | |
Scientists still didn't understand exactly how that image forms. | 0:25:21 | 0:25:26 | |
So they began to investigate the way individual sections of the cortex respond in monkeys. | 0:25:27 | 0:25:35 | |
It used to be thought | 0:25:36 | 0:25:38 | |
that the brain uses a building-block strategy to analyse vision, | 0:25:38 | 0:25:41 | |
that, as information passed through different areas of the brain, | 0:25:41 | 0:25:45 | |
it was analysed in greater and greater complexity, | 0:25:45 | 0:25:48 | |
but the building-block model was challenged by studies of single cells in monkey brains. | 0:25:48 | 0:25:54 | |
In this area, called V5, cells responded only to moving objects. | 0:25:54 | 0:25:59 | |
In this area, V3, cells were mainly responsive to the form and depth of an object. | 0:26:03 | 0:26:09 | |
And V4, the colour-coded cells, | 0:26:11 | 0:26:14 | |
making decisions about colour on the basis of everything in the scene. | 0:26:14 | 0:26:18 | |
So a new theory emerged which suggests that different areas of the brain perform specialised tasks. | 0:26:20 | 0:26:26 | |
The discovery that different parts of the brain had evolved | 0:26:29 | 0:26:32 | |
to respond to specific parts of an image was a major breakthrough. | 0:26:32 | 0:26:37 | |
And scientists were keen to devise more experiments. | 0:26:39 | 0:26:43 | |
They soon found that even when an image is pared down to just one element such as movement, | 0:26:43 | 0:26:48 | |
the brain can still work out what it's seeing. | 0:26:48 | 0:26:51 | |
The points of light mean very little... | 0:26:54 | 0:26:58 | |
until they move. | 0:26:58 | 0:26:59 | |
These are fixed to the joints of people's limbs. | 0:27:01 | 0:27:05 | |
Using rules about relative motion derived from prospective geometry, | 0:27:05 | 0:27:09 | |
you can recognise absolute form in spite of changes in size or shape in the image. | 0:27:09 | 0:27:15 | |
That allows you to find out an enormous amount about things in the world | 0:27:15 | 0:27:19 | |
from minimal information about just how they're moving. | 0:27:19 | 0:27:22 | |
We've learned a lot more about where in the brain signals from the eye were being processed, | 0:27:25 | 0:27:30 | |
but we were still grappling with how it made sense of that information. | 0:27:30 | 0:27:34 | |
New insight would come from an unexpected source. | 0:27:34 | 0:27:38 | |
It was the 1980s and the computer revolution was making itself felt in every branch of science, | 0:27:38 | 0:27:44 | |
and it would inspire a radical new theory of vision. | 0:27:44 | 0:27:49 | |
The theory was developed by David Marr. | 0:27:51 | 0:27:53 | |
He combined computer science | 0:27:53 | 0:27:55 | |
with existing knowledge of the eye and brain. | 0:27:55 | 0:27:58 | |
The principle behind his theory is that vision extracts the essential features from images. | 0:27:58 | 0:28:04 | |
Seeing is rather like weather forecasting. | 0:28:04 | 0:28:08 | |
The weather data are collected in several forms - | 0:28:13 | 0:28:16 | |
temperature, pressure, wind speed and wind direction. | 0:28:16 | 0:28:19 | |
Similarly, the eye responds to light, colour and motion. | 0:28:22 | 0:28:26 | |
Just as there is no real wind, pressure or temperature in the collected weather data, | 0:28:29 | 0:28:34 | |
so there is no colour, light or motion in the brain. | 0:28:34 | 0:28:38 | |
Instead there is a code representing the incoming information. | 0:28:38 | 0:28:41 | |
'Sule Skerry, | 0:28:42 | 0:28:44 | |
'south southeast 3, 11 miles, 981...' | 0:28:44 | 0:28:49 | |
This is a symbol for the weather. | 0:28:49 | 0:28:52 | |
There are symbols which represent objects in the brain. | 0:28:52 | 0:28:56 | |
But in what form are the brain's equivalent of isobars? | 0:29:00 | 0:29:03 | |
How might an object such as a deer be encoded and symbolised? | 0:29:05 | 0:29:10 | |
The problem is considerable | 0:29:11 | 0:29:13 | |
because as a deer turns its shape changes totally, | 0:29:13 | 0:29:17 | |
yet it is still seen as a deer. | 0:29:17 | 0:29:19 | |
Before David Marr began his work, | 0:29:22 | 0:29:24 | |
a popular theory was that the brain analysed and refined the signals | 0:29:24 | 0:29:28 | |
until finally a single deer cell responded. | 0:29:28 | 0:29:31 | |
Whitman Richards. | 0:29:32 | 0:29:34 | |
You're going to run out of cells very quickly. | 0:29:34 | 0:29:37 | |
I mean, think of all the objects, possible objects, | 0:29:37 | 0:29:41 | |
and size and shape and orientations that you could encounter. | 0:29:41 | 0:29:45 | |
Even just take one of them, like the deer. | 0:29:45 | 0:29:49 | |
You can put that in many different orientations and positions and distances, | 0:29:49 | 0:29:54 | |
and each of those, the single cell would have to respond to - deer. | 0:29:54 | 0:30:00 | |
And you're just going to run out of cells. | 0:30:00 | 0:30:02 | |
There are an infinite number, unlimited number of possible combinations. | 0:30:02 | 0:30:07 | |
So David Marr discarded the single cell idea | 0:30:07 | 0:30:10 | |
and instead asked what was the simplest recognisable symbol of an animal. | 0:30:10 | 0:30:14 | |
The stick figure is simple to store in non-picture form in the brain's computer | 0:30:14 | 0:30:19 | |
as the length, angle and junctions of the lines. | 0:30:19 | 0:30:23 | |
It can also be used to represent any angle at which the deer is seen. | 0:30:26 | 0:30:30 | |
The various elements are brought together with colour, texture | 0:30:30 | 0:30:34 | |
and movement to see the animal in all its detail. | 0:30:34 | 0:30:37 | |
This work revolutionised the field of visual theory. | 0:30:41 | 0:30:45 | |
Marr showed that the human brain works rather like a computer, | 0:30:45 | 0:30:49 | |
storing visual information in code form and paring it down | 0:30:49 | 0:30:53 | |
to its most basic elements to be rapidly processed and understood. | 0:30:53 | 0:30:57 | |
In fact, we read information from the eye so fast that we can even predict the future. | 0:31:00 | 0:31:06 | |
Scientists have recently discovered | 0:31:09 | 0:31:11 | |
that baseball hitters do something quite extraordinary. | 0:31:11 | 0:31:16 | |
The ball is moving so fast that the hitter can't simply watch the ball | 0:31:18 | 0:31:22 | |
as it comes towards him and then adjust his swing, | 0:31:22 | 0:31:25 | |
so how does his bat end up in the right position? | 0:31:25 | 0:31:29 | |
Top baseball stars like Gabe Kapler don't even try to watch the ball. | 0:31:31 | 0:31:36 | |
I don't think that you actually have time to see the ball | 0:31:36 | 0:31:39 | |
out of the pitcher's hand and then make conscious decisions. | 0:31:39 | 0:31:42 | |
I think it's much more instinctive | 0:31:42 | 0:31:45 | |
in that you just have to let your body take over | 0:31:45 | 0:31:48 | |
and allow the physical training that you've done over a long period of time to completely take over. | 0:31:48 | 0:31:53 | |
After facing thousands of throws, | 0:31:57 | 0:31:59 | |
Gabe has learned to see into the future. | 0:31:59 | 0:32:02 | |
Scientists have discovered that within a few thousandths of a second | 0:32:02 | 0:32:06 | |
of the ball leaving the pitcher's hand, | 0:32:06 | 0:32:08 | |
Gabe's brain analyses the speed, spin and angle of the ball | 0:32:08 | 0:32:12 | |
and then he predicts where it's likely to end up. | 0:32:12 | 0:32:16 | |
So he's swinging at the ball | 0:32:17 | 0:32:19 | |
before any normal human would know where it's going. | 0:32:19 | 0:32:22 | |
And he does it with astonishing accuracy. | 0:32:22 | 0:32:25 | |
Our brains process information incredibly quickly | 0:32:42 | 0:32:45 | |
but they still have to decide what's important and what isn't. | 0:32:45 | 0:32:49 | |
Right now I'm focusing on this camera, | 0:32:49 | 0:32:51 | |
even though I'm bombarded by sensory inputs. | 0:32:51 | 0:32:54 | |
I have to filter out the sound of voices in the corridor, | 0:32:54 | 0:32:58 | |
the feel of these clothes on my skin, | 0:32:58 | 0:33:00 | |
even the sight of this microphone just hovering here above my head. | 0:33:00 | 0:33:04 | |
And there's a very famous experiment that shows just how much | 0:33:04 | 0:33:08 | |
our brains can miss if they get distracted by too much information. | 0:33:08 | 0:33:12 | |
Watch carefully. | 0:33:12 | 0:33:14 | |
This is an experiment, a battle of the sexes, men against women. | 0:33:21 | 0:33:24 | |
There'll be a difference but I won't say which way round. | 0:33:24 | 0:33:27 | |
It's just a simple observation test. | 0:33:27 | 0:33:29 | |
All you need to do, you'll see there are three guys in yellow here. | 0:33:29 | 0:33:33 | |
They have a basketball and it's your job to count | 0:33:33 | 0:33:36 | |
the number of times they throw the basketball to each other. | 0:33:36 | 0:33:39 | |
To make things slightly harder, | 0:33:39 | 0:33:41 | |
there's also three guys in blue tracksuits. | 0:33:41 | 0:33:45 | |
Ignore them, ignore their basketball, and just concentrate on this one. | 0:33:45 | 0:33:49 | |
So, if we can run the tape? | 0:33:49 | 0:33:50 | |
OK, so that's number one. | 0:33:50 | 0:33:53 | |
OK, if we can stop the tape there for the moment. OK, be honest here. | 0:34:09 | 0:34:14 | |
Anybody notice anything unusual? Be honest. | 0:34:14 | 0:34:17 | |
OK, about four or five of you. Excellent. | 0:34:17 | 0:34:20 | |
The rest of you didn't notice anything strange? OK. | 0:34:20 | 0:34:24 | |
Right, for you guys, enjoy this moment. | 0:34:24 | 0:34:27 | |
The first time I saw this, it completely threw me. | 0:34:27 | 0:34:29 | |
I want you to watch the tape again but this time as you would a normal piece of television, | 0:34:29 | 0:34:34 | |
no counting the basketball. If we can have the tape? | 0:34:34 | 0:34:37 | |
He's going to make his entrance this time. | 0:34:37 | 0:34:39 | |
Here he comes. | 0:34:39 | 0:34:41 | |
LAUGHTER | 0:34:41 | 0:34:43 | |
No way! That didn't happen. That did not happen! | 0:34:43 | 0:34:48 | |
It totally did. It did. | 0:34:48 | 0:34:51 | |
I'm absolutely shocked. | 0:34:51 | 0:34:52 | |
I thought I'd spot a monkey walking across the screen. | 0:34:52 | 0:34:56 | |
If you were fooled, it's because your brain was distracted by counting | 0:34:57 | 0:35:02 | |
and your eyes weren't expecting the gorilla. | 0:35:02 | 0:35:05 | |
But can you be tricked even if you know the truth? | 0:35:07 | 0:35:11 | |
This is simply a face, actually two faces. | 0:35:12 | 0:35:18 | |
This face on the left is an ordinary face. | 0:35:18 | 0:35:22 | |
Plaster of Paris, but it's a face. | 0:35:22 | 0:35:24 | |
This one however is not. | 0:35:24 | 0:35:26 | |
It is actually hollow but look what happens when you move it. | 0:35:26 | 0:35:29 | |
They're fixed together rigidly | 0:35:29 | 0:35:32 | |
in this box. | 0:35:32 | 0:35:34 | |
You'll see them moving in opposite directions. | 0:35:34 | 0:35:37 | |
That's because you assume that this nose is sticking out | 0:35:37 | 0:35:41 | |
when it's really in, so all the motions get reversed. | 0:35:41 | 0:35:44 | |
This is even more dramatic if we make them nod. | 0:35:44 | 0:35:48 | |
If we make them nod, it really looks weird. | 0:35:48 | 0:35:51 | |
If I make it nod a great deal, you'll see it really is hollow. | 0:35:51 | 0:35:56 | |
The face simply disappears inside the box. | 0:35:56 | 0:35:59 | |
Now you'll see it popping out again. | 0:35:59 | 0:36:02 | |
As soon as the features become visible, these outlines, | 0:36:03 | 0:36:08 | |
all your knowledge of faces comes back into your brain. | 0:36:08 | 0:36:11 | |
It has to be a face because it's got these features. | 0:36:11 | 0:36:14 | |
You see it incorrectly, even when you know the answer. | 0:36:14 | 0:36:17 | |
The probability is so low that that's hollow, | 0:36:17 | 0:36:20 | |
you just don't see it as hollow. | 0:36:20 | 0:36:22 | |
The brain has an uncanny ability to make things up, | 0:36:24 | 0:36:28 | |
filling in the gaps to complete patterns and recognise objects | 0:36:28 | 0:36:31 | |
with very few visual cues. | 0:36:31 | 0:36:34 | |
It's a skill that scientists think may have developed | 0:36:35 | 0:36:39 | |
as part of our survival strategy, | 0:36:39 | 0:36:42 | |
allowing us to see predators and prey even when they're well hidden. | 0:36:42 | 0:36:46 | |
In the course of evolution, the ability to discover prey despite camouflage | 0:36:47 | 0:36:53 | |
has certainly played an important role for survival. | 0:36:53 | 0:36:58 | |
So there may be an evolutionary advantage | 0:36:59 | 0:37:02 | |
behind our eyes' tendency to be fooled. | 0:37:02 | 0:37:05 | |
But what's the explanation for our ears being tricked? | 0:37:08 | 0:37:11 | |
Bar. Bar. Bar. | 0:37:14 | 0:37:17 | |
Have a look at this. What do you hear? | 0:37:17 | 0:37:20 | |
Bar. Bar. Bar. | 0:37:22 | 0:37:24 | |
Bar. Bar. Bar. | 0:37:25 | 0:37:28 | |
But look what happens when we change the picture. | 0:37:28 | 0:37:32 | |
SOUNDS LIKE: Far. Far. Far. | 0:37:32 | 0:37:36 | |
Far. Far. Far. | 0:37:36 | 0:37:39 | |
-Far... -And yet the sound hasn't changed. | 0:37:39 | 0:37:44 | |
In every clip, you are only ever hearing "bar" with a B. | 0:37:44 | 0:37:49 | |
Bar. Bar. | 0:37:49 | 0:37:51 | |
Bar. | 0:37:51 | 0:37:53 | |
It's an illusion known as the McGurk Effect. Take another look. | 0:37:53 | 0:37:59 | |
Bar... | 0:37:59 | 0:38:00 | |
Concentrate first on the right of the screen. | 0:38:00 | 0:38:03 | |
Now to the left of the screen. | 0:38:03 | 0:38:05 | |
..bar... | 0:38:05 | 0:38:07 | |
The illusion occurs because what you are seeing | 0:38:07 | 0:38:11 | |
clashes with what you are hearing. | 0:38:11 | 0:38:13 | |
In the illusion, what we see overrides what we hear | 0:38:13 | 0:38:18 | |
so the mouth movements we see as we look at a face | 0:38:18 | 0:38:22 | |
can actually influence what we believe we're hearing. | 0:38:22 | 0:38:24 | |
If we close our eyes, we actually hear the sound as it is. | 0:38:24 | 0:38:28 | |
If we open our eyes, we actually see how the mouth movements | 0:38:28 | 0:38:31 | |
can influence what we're hearing. | 0:38:31 | 0:38:32 | |
Bar. Bar. Bar. | 0:38:32 | 0:38:36 | |
It's a bizarre effect. | 0:38:36 | 0:38:38 | |
Remember, the only sound you're hearing is "bar" with a B. | 0:38:38 | 0:38:42 | |
SOUNDS LIKE: Far. Far.. | 0:38:42 | 0:38:44 | |
Bar. Bar. Bar. | 0:38:44 | 0:38:47 | |
What's remarkable about this illusion | 0:38:47 | 0:38:49 | |
is even knowing how it's done doesn't seem to make a difference. | 0:38:49 | 0:38:53 | |
Far. | 0:38:53 | 0:38:55 | |
The effect works no matter how much you know about the effect. | 0:38:55 | 0:38:58 | |
I've been studying the McGurk Effect for 25 years now | 0:38:58 | 0:39:00 | |
and I've been the face in the stimuli, | 0:39:00 | 0:39:03 | |
I've seen stimuli thousands and thousands of times, | 0:39:03 | 0:39:06 | |
but the effect still works on me. I can't help it. | 0:39:06 | 0:39:08 | |
Bar. Bar. Bar. | 0:39:08 | 0:39:12 | |
Bar. Bar. Bar. | 0:39:12 | 0:39:14 | |
The McGurk experiment shows us that even when our senses are working normally, | 0:39:14 | 0:39:18 | |
we can still make mistakes in interpreting their signals. | 0:39:18 | 0:39:22 | |
But in some people, the senses merge. | 0:39:24 | 0:39:26 | |
Sight and sound intermingle. | 0:39:29 | 0:39:31 | |
Touch and taste run together. | 0:39:34 | 0:39:37 | |
It's called synaesthesia. | 0:39:39 | 0:39:42 | |
The oboe for me makes a rich, creamy-yellow sound. | 0:39:43 | 0:39:47 | |
It's not a disease or a psychological problem... | 0:39:47 | 0:39:50 | |
..more a difference in perception. | 0:39:52 | 0:39:55 | |
Denny Simon has a complicated form of synaesthesia | 0:39:56 | 0:40:00 | |
where music will cause her to see shapes. | 0:40:00 | 0:40:03 | |
I'm listening to Pat Metheny now. It's a really wonderful piece. | 0:40:03 | 0:40:06 | |
It makes me feel really good. | 0:40:06 | 0:40:08 | |
I'm seeing it on a screen in front of my face. | 0:40:08 | 0:40:10 | |
It's about this big and wide. | 0:40:10 | 0:40:12 | |
It's a very horizontal piece on the screen | 0:40:12 | 0:40:16 | |
and it's got points of light and colour. | 0:40:16 | 0:40:18 | |
It's golden, just golden. | 0:40:18 | 0:40:20 | |
When I listen to it, I feel kind of like | 0:40:20 | 0:40:23 | |
there's warm water inside of my body. | 0:40:23 | 0:40:25 | |
It's a very relaxing piece, which is why I like to listen to it when I'm skating. | 0:40:25 | 0:40:29 | |
These bands are seen, not imagined. | 0:40:29 | 0:40:32 | |
In the same way we see the blue sea, | 0:40:32 | 0:40:34 | |
the red towel on the lifeguard station, Denny sees golden bands. | 0:40:34 | 0:40:38 | |
Unlike Denny, most synaesthetes see words and numbers as colours and shapes. | 0:40:40 | 0:40:45 | |
But there are some relatively rare variations. | 0:40:49 | 0:40:52 | |
Running this pub can get very confusing for James Wannerton. | 0:40:54 | 0:40:59 | |
He has an unusual form of a condition | 0:40:59 | 0:41:02 | |
which means that he doesn't just hear words, he also tastes them. | 0:41:02 | 0:41:07 | |
The problems I have are, somebody will come in and then order, | 0:41:07 | 0:41:11 | |
say, a pint of that. | 0:41:11 | 0:41:13 | |
I get the bacon rind taste. | 0:41:13 | 0:41:16 | |
They then pay with a fiver, | 0:41:16 | 0:41:18 | |
from which I get a taste of strawberry jam sandwiches, very, very specific. | 0:41:18 | 0:41:23 | |
I then have to give them their change. | 0:41:23 | 0:41:26 | |
Change invariably tastes of... processed cheese, a cheesy taste. | 0:41:26 | 0:41:30 | |
John Fullwood sees colours | 0:41:32 | 0:41:35 | |
when he hears certain words, even though he's blind. | 0:41:35 | 0:41:39 | |
It's a nice thing to have because it enables you to be able | 0:41:39 | 0:41:43 | |
to distinguish things, one from another. | 0:41:43 | 0:41:47 | |
You can distinguish Saturday from Sunday because they've got different colours. | 0:41:47 | 0:41:51 | |
Researchers were so intrigued by John's case, | 0:41:52 | 0:41:55 | |
they invited him for an MRI scan. | 0:41:55 | 0:41:58 | |
Megan Steven of Oxford University is conducting an experiment | 0:42:00 | 0:42:03 | |
to discover what is happening inside John's brain | 0:42:03 | 0:42:07 | |
when he sees his synaesthetic colours. | 0:42:07 | 0:42:10 | |
First, she studies his brain activity when he listens to words that don't give him colours. | 0:42:10 | 0:42:15 | |
Master. | 0:42:15 | 0:42:17 | |
Like. | 0:42:17 | 0:42:19 | |
Exquisite. | 0:42:20 | 0:42:22 | |
As expected, John's brain scan shows activity | 0:42:24 | 0:42:28 | |
in his sound processing areas when he listens to these ordinary words. | 0:42:28 | 0:42:33 | |
OK, here we go. | 0:42:34 | 0:42:35 | |
Megan Steven then reads John a list of words that do trigger his colours. | 0:42:35 | 0:42:40 | |
February. | 0:42:40 | 0:42:41 | |
April. | 0:42:42 | 0:42:43 | |
When John hears words like Monday or January, | 0:42:45 | 0:42:48 | |
he sees a specific colour and you can see here | 0:42:48 | 0:42:51 | |
the area of his brain that lights up when he sees that colour, | 0:42:51 | 0:42:55 | |
an area of the brain we call V4. | 0:42:55 | 0:42:57 | |
It's a visual area, an area that processes information about colour. | 0:42:57 | 0:43:01 | |
Brain scans reveal that synaesthesia is caused by the creation of special connections | 0:43:02 | 0:43:08 | |
between areas of the brain that are normally quite separate. | 0:43:08 | 0:43:11 | |
But rather than finding it to be a curse, | 0:43:14 | 0:43:17 | |
those who have it often consider it more of a blessing. | 0:43:17 | 0:43:21 | |
When I kiss my husband, I see...purple frosting! | 0:43:21 | 0:43:27 | |
-Purple frosting? -Purple frosting. | 0:43:27 | 0:43:29 | |
Synaesthesia is the result of faulty wiring in the brain. | 0:43:33 | 0:43:36 | |
Some sensory conditions can be caused by damage to the brain. | 0:43:39 | 0:43:44 | |
Horizon followed the case of John Alderson, | 0:43:47 | 0:43:50 | |
a man whose eyes work perfectly | 0:43:50 | 0:43:53 | |
but who finds it difficult to make sense of what he sees. | 0:43:53 | 0:43:57 | |
Um, I think that I'm not doing too well. | 0:43:59 | 0:44:04 | |
'John, I understand that five years ago you had a stroke' | 0:44:04 | 0:44:06 | |
and you've been having some trouble with your vision since. | 0:44:06 | 0:44:10 | |
Yes, that's true. | 0:44:10 | 0:44:12 | |
They've told me it's called visual agnosia | 0:44:12 | 0:44:16 | |
which I, being a good, well-brought-up Greek scholar know | 0:44:16 | 0:44:20 | |
means I don't know what I'm looking at. | 0:44:20 | 0:44:22 | |
Um, I don't know who's with me | 0:44:22 | 0:44:24 | |
but somebody I hope is not too upset... | 0:44:24 | 0:44:30 | |
They're being terribly approachable. Oh, wait a minute. | 0:44:32 | 0:44:37 | |
Yes, I recognise my wife. | 0:44:37 | 0:44:39 | |
Because I know what shoes she's wearing. | 0:44:41 | 0:44:44 | |
When he's identifying objects, | 0:44:44 | 0:44:47 | |
he only seems to pick up bits at a time. | 0:44:47 | 0:44:50 | |
You can see when he tries to identify things, | 0:44:50 | 0:44:54 | |
he goes around picking out the very noticeable parts of objects. | 0:44:54 | 0:44:57 | |
He knows it's a pig because it's got a curly tail. | 0:44:57 | 0:45:01 | |
So what it looks like from this is that he's only getting fragments of the world. | 0:45:01 | 0:45:05 | |
In a way, he sees the bits | 0:45:05 | 0:45:07 | |
but he's unable to pick up a whole picture of what the world should look like. | 0:45:07 | 0:45:12 | |
So when John looks at what is for us an obvious scene, | 0:45:14 | 0:45:17 | |
he has to try to determine what it is from individual details. | 0:45:17 | 0:45:21 | |
-What's that building? -The tall one? | 0:45:21 | 0:45:24 | |
-Yes. -As it's got very large windows | 0:45:24 | 0:45:28 | |
and very extended corner pieces | 0:45:28 | 0:45:31 | |
and something right at the very top that looks like a flagpole or something equivalent... | 0:45:31 | 0:45:37 | |
I'm not awfully sure but it's not a domestic building. | 0:45:37 | 0:45:41 | |
I think it's more likely to be some sort of storehouse or storage building. | 0:45:41 | 0:45:45 | |
I don't think the owners of the building would be very flattered by your description. | 0:45:45 | 0:45:50 | |
Although John's failure to recognise the Houses of Parliament is bizarre, | 0:45:50 | 0:45:55 | |
it gives us an insight into how we must structure detail | 0:45:55 | 0:45:59 | |
in order to recognise this object as a tower at all. | 0:45:59 | 0:46:03 | |
Through John, we glimpse how, from a collection of lines, | 0:46:05 | 0:46:10 | |
we create order. | 0:46:10 | 0:46:12 | |
Studying agnosia helps scientists understand how the brain interprets visual signals, | 0:46:14 | 0:46:19 | |
but they still don't know enough to help sufferers like John. | 0:46:19 | 0:46:25 | |
-A church, it must be. -I'm sorry, dear, you're wrong. | 0:46:25 | 0:46:28 | |
It's the Houses of Parliament. That's Big Ben. | 0:46:28 | 0:46:30 | |
Good girl. | 0:46:32 | 0:46:34 | |
Where's the house? | 0:46:37 | 0:46:39 | |
It's often said that people who lose one sense altogether... | 0:46:39 | 0:46:43 | |
HIGH-PITCHED WHINING | 0:46:43 | 0:46:45 | |
..can compensate because their other senses become extra keen. | 0:46:47 | 0:46:51 | |
Yes, I see. | 0:46:51 | 0:46:53 | |
However, in the 1970s, this was cast into doubt. | 0:46:53 | 0:46:59 | |
Part of the evidence for this belief stems from a series of experiments | 0:46:59 | 0:47:03 | |
in which children, sighted and blind, | 0:47:03 | 0:47:09 | |
were required for example to identify where a sound came from. | 0:47:09 | 0:47:12 | |
The sighted child is blindfolded and told to swivel her chair | 0:47:15 | 0:47:19 | |
so as to face directly the person calling her name. | 0:47:19 | 0:47:22 | |
Justine. | 0:47:25 | 0:47:26 | |
Justine. | 0:47:29 | 0:47:31 | |
Although blindfolded, she does well, as do other sighted children. | 0:47:31 | 0:47:35 | |
Blind children are also blindfolded to exclude any residual vision. | 0:47:36 | 0:47:41 | |
Ian. | 0:47:41 | 0:47:42 | |
Ian. | 0:47:45 | 0:47:46 | |
This blind boy, for example, | 0:47:46 | 0:47:48 | |
consistently faces about 30 degrees away from the source of the sound. | 0:47:48 | 0:47:52 | |
And the implication is that sight has been acting | 0:47:52 | 0:47:56 | |
as a kind of integrating sense, | 0:47:56 | 0:47:58 | |
allowing one to develop the non-visual senses more rapidly and more finely. | 0:47:58 | 0:48:04 | |
Far from compensating, by refining their other senses, | 0:48:04 | 0:48:07 | |
visually handicapped children may be hampered in doing so. | 0:48:07 | 0:48:10 | |
All along the line, their development is a struggle. | 0:48:10 | 0:48:13 | |
Ian. | 0:48:13 | 0:48:14 | |
To lose a sense is to lose a vital link with the world | 0:48:18 | 0:48:22 | |
but can science step in where biology fails? | 0:48:22 | 0:48:26 | |
Over the years, the BBC has documented some of the groundbreaking ways | 0:48:26 | 0:48:30 | |
that technology has enhanced, altered and even replaced the human senses. | 0:48:30 | 0:48:37 | |
That's fine. | 0:48:41 | 0:48:43 | |
In the 1970s and '80s, millions of pounds | 0:48:45 | 0:48:48 | |
were poured into research aimed at helping to restore sight. | 0:48:48 | 0:48:53 | |
Some scientists turned to the animal kingdom for inspiration. | 0:48:55 | 0:49:00 | |
This 1977 invention tried to create a human version | 0:49:00 | 0:49:05 | |
of the echo locators used by bats. | 0:49:05 | 0:49:09 | |
It looks like a pair of glasses but it's not. | 0:49:09 | 0:49:12 | |
The important bit is here. | 0:49:12 | 0:49:15 | |
This central spot has a tiny transmitter. | 0:49:15 | 0:49:18 | |
It sends out a very high-pitched sound. | 0:49:18 | 0:49:20 | |
When the sound hits an object, it bounces back, an echo. | 0:49:20 | 0:49:24 | |
These two little receivers hear that echo. | 0:49:24 | 0:49:27 | |
Then the sound is carried to your ears through these little earpieces. | 0:49:28 | 0:49:32 | |
THROBBING HUM | 0:49:32 | 0:49:35 | |
HIGH-PITCHED THROBBING | 0:49:35 | 0:49:37 | |
There's a lamppost. | 0:49:37 | 0:49:39 | |
Notice how the pitch goes from high to low as I get nearer. | 0:49:39 | 0:49:43 | |
THROBBING FADES AND LOWERS IN PITCH | 0:49:43 | 0:49:46 | |
REGULAR THROBBING | 0:49:49 | 0:49:52 | |
THROBBING BECOMES MORE HIGH-PITCHED | 0:49:52 | 0:49:54 | |
That, I think, is a car. It's parked by the side of the road. | 0:49:54 | 0:49:58 | |
And there's a bush. Yes. | 0:49:58 | 0:50:03 | |
REGULAR THROBBING | 0:50:03 | 0:50:06 | |
WHINEY THROBBING | 0:50:06 | 0:50:07 | |
This is a sound I rather like. | 0:50:07 | 0:50:10 | |
It reminds me very much of church bells | 0:50:10 | 0:50:12 | |
and it does in fact mean a basket-weave fence. | 0:50:12 | 0:50:17 | |
THROBBING FADES | 0:50:17 | 0:50:19 | |
So, with their other senses, the help of good ideas | 0:50:19 | 0:50:23 | |
and modern technology, people with no sense of sight | 0:50:23 | 0:50:26 | |
can get about almost as easily as the rest of us. | 0:50:26 | 0:50:28 | |
Despite this optimism, | 0:50:32 | 0:50:34 | |
the echo-locating glasses never quite took off. | 0:50:34 | 0:50:38 | |
But the idea of using one sense to replace another did. | 0:50:38 | 0:50:41 | |
Thank you very much. That's quite enough of that. | 0:50:41 | 0:50:44 | |
One 1970s device substituted touch for vision. | 0:50:46 | 0:50:51 | |
It allowed blind people to see things | 0:50:51 | 0:50:54 | |
that were beyond reach, for the first time. | 0:50:54 | 0:50:56 | |
The visual display represents approximately the image | 0:51:00 | 0:51:04 | |
Bill is receiving via his camera. | 0:51:04 | 0:51:06 | |
By controlling the camera, | 0:51:06 | 0:51:08 | |
he's picking up a two-inch model 15 feet away. | 0:51:08 | 0:51:11 | |
The image in the camera is transferred to the back of the chair | 0:51:14 | 0:51:17 | |
and then split up electronically. | 0:51:17 | 0:51:20 | |
Each part of the image is then represented | 0:51:22 | 0:51:25 | |
by a tiny, vibrating, blunted needle. | 0:51:25 | 0:51:28 | |
It's these vibrations on the skin of his back | 0:51:29 | 0:51:32 | |
which Bill has learned to interpret visually. | 0:51:32 | 0:51:34 | |
The information's presented as touch, but Bill is actually perceiving it | 0:51:36 | 0:51:40 | |
as if it were vision, although he's totally blind. | 0:51:40 | 0:51:43 | |
OK. It's a telephone. | 0:51:45 | 0:51:48 | |
And the receiver is to the right. | 0:51:50 | 0:51:54 | |
The tactile chair offered its users a whole new outlook on the world. | 0:51:54 | 0:51:59 | |
All of a sudden I had acquired a new sense | 0:52:00 | 0:52:03 | |
because before I had always been restricted to feeling things. | 0:52:03 | 0:52:06 | |
Now I could perceive objects that were far away. | 0:52:06 | 0:52:09 | |
The most interesting thing about first seeing a candle | 0:52:10 | 0:52:13 | |
was that I realised the flame had a definite shape | 0:52:13 | 0:52:16 | |
and that it would change shape if someone moved it or blew on it. | 0:52:16 | 0:52:20 | |
Of course I had never been able to experience a flame directly | 0:52:20 | 0:52:24 | |
because when you touch a flame you only experience heat. | 0:52:24 | 0:52:28 | |
So I think that was the most interesting piece of it. | 0:52:29 | 0:52:33 | |
Very surprising, actually. | 0:52:33 | 0:52:34 | |
It never occurred to me that a flame would have a shape. | 0:52:34 | 0:52:37 | |
This innovative device opened the door to a new wave of research | 0:52:38 | 0:52:43 | |
and led to the development of ever smaller and more portable versions. | 0:52:43 | 0:52:47 | |
-I'm guessing this is going on my tongue. -That's right. | 0:52:47 | 0:52:51 | |
What do you think the object is? | 0:52:52 | 0:52:55 | |
A spoon. | 0:52:55 | 0:52:57 | |
But it still couldn't come close to replacing | 0:52:57 | 0:53:01 | |
the complexity of the human eye. | 0:53:01 | 0:53:03 | |
Since the 1970s, scientists have tried a range of radical ideas | 0:53:03 | 0:53:10 | |
in an attempt to restore sight. | 0:53:10 | 0:53:12 | |
OK, that's fine. Put your head up. | 0:53:14 | 0:53:16 | |
From plugging directly into the brain's visual cortex... | 0:53:16 | 0:53:19 | |
Let's go. First word? | 0:53:19 | 0:53:21 | |
Eye? | 0:53:23 | 0:53:25 | |
..to retinal implants. | 0:53:26 | 0:53:29 | |
But advances take time. | 0:53:29 | 0:53:30 | |
There are no distinct edges. | 0:53:31 | 0:53:34 | |
It's just a subtle difference in the illumination. | 0:53:34 | 0:53:39 | |
Scientists working on another sense would have more success. | 0:53:45 | 0:53:49 | |
Now, you should feel that on the finger. | 0:53:51 | 0:53:53 | |
SHE SPEAKS INDISTINCTLY | 0:53:53 | 0:53:55 | |
In the 1970s, a range of devices were developed | 0:53:55 | 0:53:59 | |
to help deaf people communicate. | 0:53:59 | 0:54:01 | |
PHONE RINGS | 0:54:01 | 0:54:03 | |
Mrs Grant sees the phone ring and switches on. | 0:54:03 | 0:54:07 | |
She reads the message as it's written on her television. | 0:54:12 | 0:54:15 | |
Without even having to speak, Mrs Grant can now reply. | 0:54:23 | 0:54:28 | |
In the days before instant messaging, | 0:54:31 | 0:54:33 | |
this simple idea had an immediate impact. | 0:54:33 | 0:54:37 | |
But the greatest breakthrough in restoring hearing | 0:54:38 | 0:54:41 | |
came from the world of medical innovation. | 0:54:41 | 0:54:44 | |
Deep breath! | 0:54:44 | 0:54:47 | |
Four-year-old Nicholas was one of the first children in the country | 0:54:47 | 0:54:51 | |
to receive a cochlear implant, | 0:54:51 | 0:54:53 | |
a groundbreaking device placed directly into the ear. | 0:54:53 | 0:54:57 | |
It's this inner ear, or cochlea, that was damaged before Nicholas was born. | 0:54:57 | 0:55:02 | |
A cochlear implant will take its place, | 0:55:02 | 0:55:05 | |
processing sound electronically | 0:55:05 | 0:55:07 | |
and sending it directly to the hearing nerve | 0:55:07 | 0:55:10 | |
through 22 minute electrodes. | 0:55:10 | 0:55:12 | |
The electrodes are placed deep inside Nicholas's ear. | 0:55:15 | 0:55:18 | |
We're going to make a very small hole in the inner ear | 0:55:20 | 0:55:23 | |
and insert all those 22 electrodes, or wires, | 0:55:23 | 0:55:27 | |
right in the spiral of the inner ear itself. | 0:55:27 | 0:55:30 | |
Then his surgeon can test whether the implant is working. | 0:55:31 | 0:55:35 | |
In the middle ear we have a little muscle which is used to dampen sound. | 0:55:37 | 0:55:41 | |
If our implant system is working, | 0:55:41 | 0:55:43 | |
when we stimulate it to an uncomfortable level, | 0:55:43 | 0:55:46 | |
that muscle should contract rather dramatically. Let's go. | 0:55:46 | 0:55:50 | |
That's a massive response. You saw that? | 0:55:52 | 0:55:55 | |
For Nicholas, the crucial day has arrived. | 0:55:59 | 0:56:02 | |
During surgery at Nottingham, only half of the device was implanted, | 0:56:02 | 0:56:06 | |
the radio receiver. | 0:56:06 | 0:56:08 | |
Now Nicholas is due to be fitted with the rest of the system, | 0:56:08 | 0:56:11 | |
which he'll wear on the outside. | 0:56:11 | 0:56:13 | |
It's time for his implant to be switched on. | 0:56:15 | 0:56:19 | |
But will he hear and if he does, how will he react? | 0:56:19 | 0:56:24 | |
HARSH BUZZING | 0:56:25 | 0:56:26 | |
-Good boy! -Well done. | 0:56:27 | 0:56:31 | |
That was a bit of a shock. | 0:56:31 | 0:56:33 | |
Can you hear the noise of the water? | 0:56:36 | 0:56:38 | |
SHE HISSES | 0:56:38 | 0:56:40 | |
Good boy. | 0:56:40 | 0:56:42 | |
Listen, Nicholas. | 0:56:42 | 0:56:44 | |
Good boy! Did you hear that? | 0:56:45 | 0:56:47 | |
Moo! | 0:56:47 | 0:56:50 | |
Good boy. | 0:56:51 | 0:56:53 | |
Cochlear implants are now commonplace | 0:56:53 | 0:56:56 | |
and have revolutionised life for hundreds of thousands of deaf people worldwide. | 0:56:56 | 0:57:01 | |
-Say goodbye. Bye-bye. -Bye-bye. | 0:57:01 | 0:57:04 | |
-Bye-bye. -Bye-bye. Bye-bye! | 0:57:04 | 0:57:08 | |
Through our senses, we experience the world. | 0:57:16 | 0:57:19 | |
CHILDREN SHRIEK | 0:57:19 | 0:57:22 | |
And their loss is keenly felt. | 0:57:22 | 0:57:24 | |
I've never yet discovered anybody that's been able | 0:57:24 | 0:57:27 | |
to convey in words the aesthetic beauty of vision. | 0:57:27 | 0:57:32 | |
To understand how and why our senses operate, | 0:57:33 | 0:57:37 | |
scientists have explored the inner workings of the human body... | 0:57:37 | 0:57:41 | |
These cells react to light. | 0:57:42 | 0:57:45 | |
..and looked deep inside the brain. | 0:57:47 | 0:57:49 | |
They've put our sensory abilities through their paces... | 0:57:50 | 0:57:55 | |
I thought I'd spot a monkey walking across the screen! | 0:57:55 | 0:57:58 | |
..and developed pioneering new techniques to help when they fail. | 0:57:59 | 0:58:04 | |
Our senses have evolved over millions of years to give us the best chance of survival | 0:58:10 | 0:58:15 | |
and that's something they do remarkably well. | 0:58:15 | 0:58:19 | |
But they are so much more than that. | 0:58:19 | 0:58:21 | |
Those complex systems come together to create everything that we know about the world. | 0:58:21 | 0:58:27 | |
Everything we see, everything we feel, | 0:58:27 | 0:58:29 | |
everything we love is a product of our senses. | 0:58:29 | 0:58:34 | |
# And I've got one, two, three, four, five | 0:58:36 | 0:58:40 | |
# Senses working overtime | 0:58:40 | 0:58:43 | |
# Trying to take this all in | 0:58:43 | 0:58:47 | |
# I've got one, two, three, four, five | 0:58:47 | 0:58:51 | |
# Senses working overtime... # | 0:58:51 | 0:58:54 | |
Subtitles by Red Bee Media Ltd | 0:58:57 | 0:58:59 |