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Livewired: The Inside Story of the Ever Changing Brain | Westworld Science Advisor & Neuroscientist

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Livewired: The Inside Story of the Ever Changing Brain | Westworld Science Advisor & Neuroscientist

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2362 segments

0:01

a very warm welcome

0:03

to this how to academy event my name is

0:05

matt stadler and i'm a presenter

0:07

on the national radio station lbc

0:09

leading britain's conversation

0:11

and this evening we're kind of leading a

0:13

global conversation

0:14

from here in notting hill and also with

0:17

david who is

0:18

stateside and in a moment if you haven't

0:19

seen it already

0:21

you'll get to understand why lockdown

0:22

must have been a particular pleasure for

0:24

him because he lives in the most

0:25

extraordinary

0:26

house i'm delighted to introduce to you

0:28

someone you'll probably have come across

0:30

in many different guises already

0:32

including perhaps at the how to

0:33

academy david eagleman he's a

0:36

neuroscientist

0:37

he's a an nyt new york times best

0:40

selling author he heads up the center

0:43

for science

0:44

and law he's also an adjunct professor

0:47

at stanford and he's going to tell us

0:49

all about how your brain works

0:51

and mine and perhaps the differences

0:53

between the two

0:54

he's the author of live wired and that's

0:57

why this

0:58

conversation is called live wired the

1:00

inside story

1:01

of the ever changing brain i found an

1:04

absolutely fascinating book it taught me

1:06

all sorts of things about myself that i

1:08

didn't know

1:10

already and i can't wait to share a lot

1:12

of what i've learned

1:13

over the course of the next hour or so

1:15

if you want to join in as ever

1:16

with these virtual events of course we

1:18

prefer to be on stage

1:19

let's hope that we will in the not too

1:21

distant future in fact a

1:22

journalist friend of mine just tweeted

1:24

from bergamo in italy which was once

1:26

upon a time

1:27

the epicenter or one of the epicenters

1:29

of this pandemic and he was saying it's

1:31

open

1:32

and things don't just get worse they can

1:34

actually get better anyway we are here

1:36

and we have to make do with this virtual

1:38

defense so you can put your questions

1:40

to david virtually in the q a box and

1:42

i'll try to get through as many of those

1:44

as i can

1:45

but david if you wouldn't mind starting

1:47

just with a briefish

1:48

synopsis of why you wrote the book and

1:51

what's at the heart of it very warm

1:53

welcome to you

1:55

great thanks matthew it's terrific to be

1:57

here i'm

1:58

i'm sorry that i can't be there in

2:00

person this year i've been to the how to

2:02

academy many times but i'm so pleased

2:04

that

2:05

everybody could uh could join today and

2:07

speaking of things virtual this

2:09

background is virtual this is not

2:11

actually my house i'm actually in my

2:12

garage so

2:13

it's not as great as it appears here

2:16

okay so

2:16

um here's what i want to talk about is

2:19

is um

2:20

is the human brain and what is different

2:23

about it with the

2:24

with other species that are close

2:26

cousins and

2:27

what that leads to what this means for

2:29

our lives so

2:30

um okay let me see if i can get this

2:33

going great

2:34

so you know maybe some of you have seen

2:37

a baby

2:38

zebra get born or a baby giraffe or a

2:41

baby dolphin and

2:42

what you'll notice is that within about

2:44

45 minutes

2:45

these uh animals are running around so

2:48

you know zebra wobbles to its little

2:50

pencily legs and then it starts uh

2:53

running around

2:54

and if you've ever seen a homo sapiens

2:56

get born you notice that it doesn't

2:57

happen that fast it doesn't take 45

2:59

minutes for them to walk

3:01

instead it takes years and and

3:04

what this represents is this incredible

3:08

trick on the part of mother nature that

3:10

she discovered with humans which is

3:13

instead of trying to hardwire everything

3:16

in at birth mother nature found this

3:19

simpler and incredibly successful

3:21

strategy which is allow neurons to

3:24

self-modify based on

3:27

experience and as a result of this

3:30

little clever tweak in the genes that

3:33

led to this strategy

3:34

we have taken over every corner of the

3:37

planet we've left the planet we've

3:39

uh you know invented the internet and a

3:41

million other things because we're this

3:42

incredibly successful species now

3:46

this is what's known as as brain

3:48

plasticity the ability for the brain to

3:51

reconfigure itself and the key thing

3:53

that i argue in the book is that you

3:55

cannot

3:56

think about the brain as hardware and

3:58

you cannot think about it as

4:00

a software it's instead what i call

4:02

livewear

4:04

and i prefer this term over the argot of

4:07

the field which is

4:09

brain plasticity because plasticity was

4:12

coined

4:12

by uh it's a term that was coined by

4:15

william james the

4:16

the great american psychologist who's

4:18

who was impressed by the way that you

4:20

can mold

4:21

plastic and you know you can take um

4:24

you can take something that's a plastic

4:26

material and you mold it into a shape

4:27

and then it holds that shape and so what

4:29

he was indicating was

4:31

hey you can mold the brain into shape

4:33

and then it it keeps that and that's

4:35

great and that's true the key is

4:39

brains are reconfiguring their whole

4:42

lives so your

4:43

entire life your 86 billion neurons and

4:46

your

4:46

trillions of connections are constantly

4:49

moving and

4:50

unplugging and re-plugging and changing

4:53

you've got

4:54

this this dynamic living electric fabric

4:57

that

4:57

is um you know constantly reconfiguring

5:02

itself until the day you die

5:03

and that is why i think we need an

5:06

upgrade from the term

5:07

plasticity because given what we

5:10

are now seeing going on the word plastic

5:13

doesn't uh

5:14

doesn't cut it anymore and so that's why

5:15

i've suggested livewire

5:17

as the uh as the term for this and so

5:21

my goal in the book and in this

5:23

extremely short talk is just to take you

5:26

know sort of the 30

5:27

000 papers on brain plasticity

5:31

and and filter them down to what i think

5:34

are the

5:35

main principles the the emerging picture

5:38

that i can see

5:39

when i squint it at everything that's

5:41

going on and that's what i'm going to

5:42

tell you about

5:43

uh very briefly is just a few of them so

5:45

um i think the first thing for us to

5:47

really appreciate is that

5:49

unlike computers brains are

5:51

extraordinarily flexible

5:54

so i'll give you an example of this um

5:57

this was a clinical case a few years ago

5:59

a 44 year old man

6:01

normal iq he went to the doctor because

6:03

he was having some leg pain

6:05

the doctor couldn't figure anything out

6:06

so he sent him for a brain scan to see

6:08

if they could find anything what they

6:10

found was an enormous surprise because

6:12

normally

6:14

this is a this is a brain scan this is a

6:16

slice right down the middle so you're

6:17

seeing the side of the brain

6:19

and let's see i don't know if you can

6:20

see my mouse here

6:23

uh no but it doesn't matter the um the

6:26

the one that's labeled number three

6:28

this is the lateral ventricle it's just

6:30

it's a little

6:32

space in the brain that's filled with

6:33

cerebrospinal fluid

6:35

anyway the reason i'm telling that

6:36

detail is because this gentleman's

6:38

brain scan looked like this he had

6:41

what's called hydrocephalus

6:42

the um the fluid was putting too much

6:46

pressure and it squished his brain up

6:48

against the sides of his skull

6:50

and that's what his brain looked like

6:51

and the the crazy part is his brain had

6:54

looked like that

6:54

his whole life no one had you know ever

6:56

done a brain scan on him before

6:58

but the thing is he was perfectly normal

7:00

he held a perfectly good job he had a

7:03

family

7:04

all the stuff even though his brain

7:06

looked like that

7:07

and so this illustrates the remarkable

7:10

flexibility

7:12

of this kind of material and the thing

7:15

is you cannot take your

7:16

cell phone or your laptop and pull half

7:20

the motherboard out

7:21

and expect it to still function but what

7:24

we have in here

7:25

our livewear is a completely different

7:27

kind of beast

7:28

and um you know we're all walking around

7:31

with this

7:32

existence proof that this completely

7:34

futuristic material

7:36

exists um and we're but we're just

7:39

scratching the surface in terms of

7:41

understanding how to how to build this

7:44

how to even understand something like

7:45

this and

7:45

it gets better because

7:48

a common surgery for children who have

7:53

epilepsy in an entire hemisphere half of

7:56

their brain

7:57

is to do a hemispherectomy where you

7:59

remove

8:00

half of the brain and as long as you do

8:03

this in a child under about seven years

8:05

old

8:05

they're perfectly fine they have no

8:08

problem with it they they often have a

8:11

slight limp

8:12

on the other side because this side of

8:13

the brain controls the other side of the

8:15

body

8:16

they have a slight limp but cognitively

8:18

they're perfectly fine

8:20

because all the functions that would

8:22

have existed

8:23

on this real estate over here get

8:25

rewired onto the remaining

8:27

real estate and um and

8:30

you wouldn't know it if you met a kid

8:32

who had half

8:34

of his brain removed and so there are a

8:36

number of examples of this sort of thing

8:38

in um in the book and uh

8:41

so that's the first thing that i very

8:43

briefly want to emphasize is that it's a

8:45

completely different beast than what we

8:46

know

8:47

how to build with our hardware and

8:49

software layers okay the second

8:51

thing i want to mention is that brains

8:54

match themselves

8:56

to their inputs so starting the 1960s

8:59

people discovered that there was a

9:01

map of the body in the brain so

9:05

on the left here on your somatosensory

9:07

cortex which is the part of your brain

9:10

that gets information from the body you

9:12

have a map

9:13

and um areas with higher sensitivity

9:16

are are represented in with more real

9:19

estate

9:20

and on the right here i'm showing the

9:22

motor cortex where there's a map of the

9:23

body so if you stick an electrode in

9:25

there at any point and you zap it

9:27

you know i might twitch my finger or

9:28

move my lip or move my toes or something

9:30

depending on where he's at

9:32

so people discovered this and they

9:34

thought wow this is terrific

9:37

it must be that this is genetically

9:39

pre-specified which would be a great

9:40

guess but it turns out that's not

9:42

the answer and the reason we know that

9:44

is because if somebody let's say

9:45

loses an arm the map changes

9:50

so the whole question is how does the

9:51

brain which is locked in silence and

9:54

darkness and the vault of your skull

9:56

have any idea what the what the body

9:58

looks like

9:59

and so i go into that in the in the book

10:01

how the how the brain

10:03

figures out what the what it's

10:05

controlling what it's

10:07

driving but the point is that when the

10:09

body plan changes

10:10

the brain changes and the reason i

10:12

showed a picture of

10:14

admiral lord horatio nelson here is

10:17

because

10:18

even though he towers over trafalgar

10:21

square

10:22

a lot of people never notice that he's

10:23

actually missing his right arm and the

10:24

reason he's missing his right arm is

10:26

because it was

10:27

shot off by a musket ball um

10:30

in in a one of his naval battles and um

10:34

[Music]

10:35

and he experienced phantom pain he you

10:37

know he wrote eloquently about what it

10:39

was like for him to live with one arm

10:41

but what we now know

10:43

is that his brain readjusted

10:46

um when this happens so this means it is

10:48

not genetically pre-specified instead

10:50

the brain

10:50

figures out whatever body plan it's

10:54

it's driving and i think the way to

10:56

think about this

10:57

is um you know i uh i suggest in the

11:00

book the way to think about is this like

11:02

as colonization so

11:03

as an example the french grip on the new

11:07

world if you look at that through time

11:08

they had a big grip on the new world for

11:10

a while

11:11

and then it diminished and had

11:12

everything to do with how many ships

11:14

they were sending over

11:15

because the british and the spanish were

11:16

just sending over more ships of people

11:19

and um as the french over time sent more

11:22

and fewer people their grip on the new

11:24

world waxed and waned

11:26

and so um this is the same thing when

11:29

you

11:30

you know when uh lord nelson sends over

11:33

fewer

11:34

ships of data from his missing arm

11:36

because it's now missing it's not

11:38

sending the ships over that territory

11:40

gets taken over

11:41

just like it does with any competing

11:45

territory because one of the things to

11:46

understand about the brain is there's

11:48

always uh competition going on between

11:52

all the areas

11:53

now what i've shown you so far was just

11:54

about when someone loses an arm but this

11:56

happens with

11:57

any incoming data so for example if you

12:01

lose your eyes the part of your brain

12:04

that we normally think of as the

12:06

visual cortex becomes no longer visual

12:09

so

12:10

when you look at what's going on in this

12:13

part of the brain in people who are

12:14

let's say born blind

12:16

you find that this part of the brain

12:17

responds to sound and responds to touch

12:20

because nothing lies fallow

12:24

it's like if um you know if some

12:26

restaurant went out of business in

12:27

london

12:28

it's not going to just sit there empty

12:30

for years it gets taken over by

12:32

by other competitors and so that's

12:34

exactly

12:35

what happens here and um you know so as

12:39

a result for a blind person

12:41

sound and touch move in here but also

12:43

memorization of vocabulary words and

12:44

math problems and so on

12:46

and um if you actually disrupt the

12:49

activity there

12:50

by putting in some magnetic pulses for

12:53

example

12:54

they get worse at touch and detecting

12:57

braille and so on so we know that that's

12:58

what's actually going on

13:00

in that part of the cortex now the

13:03

really interesting part one one of the

13:06

really fascinating things for me

13:07

that's been discovered just in recent

13:09

years is how unbelievably

13:11

rapid this takeover of the territory is

13:14

so

13:14

if you um blindfold somebody

13:18

tightly and you stick them in the

13:20

scanner

13:21

what investigators discovered just over

13:23

a decade ago is that you start

13:25

seeing activity in their visual cortex

13:27

in response to

13:29

touch or sound or things like that and

13:31

you see that

13:32

unbelievably rapidly within within about

13:34

an hour you start getting this

13:36

encroachment it's very light at first

13:38

but

13:38

what happens is this takeover from the

13:40

neighboring census starts happening

13:43

rapidly and the the surprise of these

13:45

findings was their

13:47

sheer speed um and in the book we come

13:50

to understand how that happens and why

13:52

the brain is so

13:53

fluid but i think the key is

13:56

you can't really think about the brain

13:59

the way it's typically taught in

14:00

textbooks which is okay here's the brain

14:03

here's the this parts revisions parts of

14:05

hearing touch and so on

14:06

it that's only true most of the time

14:09

based on what's plugged into it

14:11

but in fact the whole thing is a fluid

14:13

system and depending on where the data

14:15

is coming from

14:16

and what is relevant it completely

14:18

changes its distribution of territory

14:21

and this speed by the way um led me in a

14:24

student of mine in my lab

14:25

to a completely novel theory

14:29

about why we dream

14:33

and i'll just tell you very briefly the

14:36

issue has to do with the rotation of the

14:39

planet so

14:40

what happens is we get cast into

14:43

darkness for

14:44

half the time and um and of course i'm

14:47

talking about

14:47

during evolutionary time scales not

14:49

during you know current evolutionary

14:52

uh electricity blessed times so we

14:55

um were cast into darkness and in the

14:57

dark your touch and your hearing and all

14:59

that stuff works fine but your vision

15:00

does not work fine

15:01

and so it turns out that when we

15:04

sleep your visual

15:08

system is in danger of getting taken

15:10

over by hearing and touch

15:11

and so the hypothesis is that dreaming

15:14

is about

15:16

slamming activity into the visual cortex

15:18

about every 90 minutes during the night

15:20

to keep it protected

15:21

against takeover from neighboring senses

15:24

and when you look

15:25

at the circuitry that underlies dream

15:27

sleep

15:28

it starts in the midbrain and it takes

15:30

this very specific pathway

15:33

up and just slams into the visual cortex

15:36

and it's it's just driving activity into

15:39

there and

15:40

and nowhere else and so um

15:43

this this is what led us to this

15:45

hypothesis that dreams are the brain's

15:47

way of fighting

15:48

take over from the other senses and

15:50

there's much more on this in the book

15:51

and uh and if anyone's interested you

15:53

could read the scientific paper on this

15:55

as well

15:56

um okay great so

15:59

the uh the next thing of of

16:02

great interest the next principle for us

16:04

is how you can actually

16:07

what what senses are going into the

16:10

brain because the brain

16:11

wraps around whatever senses you

16:15

feed it so um

16:18

so i gave a talk at ted a few years ago

16:21

on this topic if you want to watch us

16:23

online

16:25

we built a vest in my lab and the vest

16:28

is covered with vibratory motors

16:31

and we for example for people who are

16:34

deaf

16:34

we capture sound and translated patterns

16:37

vibration on the skin and i just

16:38

realized

16:39

yeah i just realized the audio is not

16:40

going to work here

16:43

but what what's happening is i'm

16:45

actually speaking here

16:47

and as i'm speaking the sound is getting

16:50

translated

16:51

into pattern observation on the skin

16:53

from low to high and you might get a

16:54

sense of it from here so on the left the

16:56

woman is saying

16:57

sound and on the right she's saying the

16:59

word touch and so

17:01

the the motors are mapped from low to

17:03

high frequency and as she says sound it

17:05

does that when she says touch

17:07

it goes up like that and and this is

17:10

what's known as

17:10

sensory substitution where we can feed

17:14

data into the brain through an unusual

17:16

channel the skin in this case

17:19

and uh and the brain it turns out does

17:22

not care how it gets the data

17:24

as long as the data gets there because

17:26

as i said the brain is locked in silence

17:28

and darkness

17:29

and it's just trying to figure out

17:30

what's going on the outside world

17:32

and all the data that comes in is just

17:34

in the form of electrochemical spikes

17:36

just these little

17:37

spikes in the neurons and

17:41

and it turns out that you can't tell the

17:43

difference between

17:45

spikes that are carrying information

17:46

about photon capture or

17:49

air compression waves or pressure and

17:51

temperature it's all it all looks

17:52

exactly the same on the inside

17:54

of the brain so it turns out you can get

17:56

information in there via different

17:58

routes i'll just show you this is our

17:59

very first

18:00

participant who wore the vest he trained

18:02

for four days

18:03

my graduate student scott says a word he

18:06

says the word you

18:07

and the gentleman on the left who's

18:08

completely deaf

18:10

feels the pattern vibrations on his vest

18:12

and is able to

18:14

translate that into an understanding of

18:16

what is getting said

18:18

so now scott says the word touch

18:22

and he and jonathan feels is on the vest

18:24

and he's able to

18:25

to translate this um we now shrunk this

18:28

down to the size of a wristband i'm just

18:30

seeing if i have one here

18:32

um i may not so but

18:35

but we we have this wristband and um

18:39

this was our very first prototype

18:40

wristband here that's why this looks big

18:42

and clunky

18:42

but the uh gentleman here is describing

18:46

what it is like for him to be able to

18:47

pick up on sound

18:49

just through patterns vibration on his

18:52

skin um

18:56

and so i ended up spinning off a company

18:59

from my lab

19:00

called neo sensory and we're now on

19:03

risks all over the world

19:04

um and we uh allow people

19:07

who are deaf or have high degrees of

19:10

hearing loss to feel sound on their skin

19:12

it gets their brain that way and they

19:13

can

19:14

operate with that so you know this is

19:16

just people who are telling us what it's

19:18

like for them and what they can get and

19:19

so on

19:20

um i'll just mention also i'm a

19:22

scientific advisor on the show westworld

19:24

and so we put our vest into that show i

19:27

don't know if anyone saw

19:28

and so now i call it vest world by the

19:30

way but i don't know if anyone saw

19:33

what was this uh episode seven in season

19:36

two but these are our vests here

19:38

and so uh if you look at the guy in the

19:40

middle here you can see the vest light

19:42

up so

19:42

what what's going on here is he's

19:44

feeling the location of the robots the

19:46

hosts

19:47

uh on his skin and so he feels spatially

19:49

oh there's one off to the left there's

19:50

one on the right so

19:52

and even in the dark and so on he can

19:54

dispatch them accordingly

19:56

um and you know like here for example

19:58

they feel another they feel that there's

20:00

a

20:00

host there and they weren't expecting

20:01

that and they get killed and so this

20:03

just goes to show that if robots go bad

20:05

my vest

20:06

won't help you but what we were able to

20:08

do is

20:09

uh take this idea and implement it in

20:11

real life with people who are blind so

20:13

in this case um there's lidar set up

20:16

in the offices and this gentleman who's

20:18

blind can feel the location of everyone

20:21

around you can feel oh there's someone

20:22

up

20:22

ahead of me on the left and there's

20:24

someone approaching me from behind and

20:25

so on

20:26

he feels what's going on on top of that

20:28

we're adding navigation direction so

20:29

even though he's never been here before

20:31

he can just follow the buzzing on his

20:33

vest and navigate

20:35

accordingly so there's a lot of um

20:38

there's a lot that we're doing there um

20:41

okay and so um yeah the next

20:45

principle is that the brain figures out

20:46

how to control whatever body

20:48

it's in so not just inputs but outputs

20:51

so

20:52

um for example i mentioned this thing

20:55

about the map of the body and the brain

20:57

and how

20:58

it had been assumed at one point that

21:00

maybe you're just born with that

21:02

we're getting a lot more insight

21:03

nowadays into how flexible

21:06

the map of the body is and what it can

21:08

drive and so one example that i use in

21:10

the book is about this dog named faith

21:12

who was born without front legs and um

21:16

so she needed to get to food and water

21:19

and her mother and so on and so she just

21:21

figured out how to walk on her back legs

21:22

it's actually not that hard

21:24

uh you've probably not seen dogs do this

21:25

before why because dogs don't need to

21:27

walk on their back legs they don't have

21:29

it's not relevant

21:30

for them and so they don't do it but it

21:31

turns out it's not that hard

21:33

for dog to figure this out and so what

21:36

this demonstrates

21:37

is the dog brain does not

21:40

drop into the world expecting to drive a

21:43

dog body

21:44

instead it drives whatever it finds uh

21:46

whatever it

21:47

discovers it is inside of and we find

21:50

all kinds of examples like this one that

21:52

i use in the book is this guy who's the

21:54

world's best archer

21:55

he's got the world record for the

21:56

longest accurate shot he has no arms

21:59

and so he shoots with his feet why

22:01

because it was relevant to him and he

22:02

wanted to figure out

22:04

how to do it and so he was easily able

22:07

to do it

22:08

um this is actually from my show the

22:10

brain

22:11

um this is a woman who's paralyzed

22:14

completely and so

22:15

she got this brain implant in her motor

22:18

cortex

22:19

that allows her to control a very

22:22

beautiful robotic arm

22:24

across the room so she's controlling

22:25

this with her

22:27

thoughts by thinking about you know

22:29

moving her own arm which of course can't

22:31

move because the spinal cord is damaged

22:33

so the signals are not getting through

22:34

there

22:35

but so she just thinks about this and

22:36

controls the arm this way and she's

22:38

gotten better and better in part

22:40

because the engineers have tweaked the

22:42

algorithm but in large part it's because

22:44

her brain has figured out exactly how to

22:47

drive

22:47

this arm because it's plastic and able

22:49

to do so

22:51

and uh one of the things worth noting is

22:53

that we're just starting to scratch the

22:56

surface of this in terms of

22:58

how to build a completely new how to

23:00

rethink robotics in a completely

23:02

different way so i'll just give you an

23:03

example

23:04

this is from my colleague hod lipson um

23:07

the idea

23:08

is you build a robot this is called the

23:09

starfish

23:11

and the robot is not pre-programmed

23:15

to know what its body is in fact it's

23:17

not programmed at all to know what its

23:18

body is

23:19

and it experiments to figure it out it

23:21

puts out actions

23:22

it feels what happens in terms of its

23:25

balance and so on

23:26

and it figures out how to walk that way

23:28

it figures out how to move itself

23:29

and then one of the things that you can

23:31

do is you know

23:32

knock a leg off of it or something and

23:34

it'll figure out how to operate

23:37

uh with its new body plan and that's

23:40

what humans are so good at doing we

23:41

operate with new body plans all the time

23:43

as in you get on a bicycle or a

23:44

surfboard or a skateboard or whatever

23:46

and you know your evolution didn't

23:49

foresee

23:50

wheels coming of for a bicycle but it

23:52

has no problem just figuring that out

23:54

and then incorporating that into the

23:56

resume of what you can do

23:57

um okay so um

24:01

all right last last principle i'll

24:03

mention is that

24:05

we all these principles which i've uh

24:08

you know worked to distill into the book

24:10

and and

24:11

you know tell them around stories and so

24:13

on um

24:14

we can leverage this to build new kinds

24:17

of devices so just as an example

24:19

i was watching carefully you know what

24:22

happened when we got the mars rover

24:25

spirit to the red planet and of course

24:27

it was so exciting and it did a great

24:28

job

24:28

and it you know it was a multi-billion

24:30

dollar project but what

24:32

happened as you may know is it got its

24:34

right front wheel

24:36

caught in the mar stuck in the martian

24:37

soil and and it died

24:40

um and if you compare that to let's say

24:43

a wolf

24:44

who gets its leg caught in a trap you

24:46

may know what the wolf does is it'll

24:48

chew its leg off

24:49

and then it figures out how to walk on

24:51

three legs it was not genetically

24:52

pre-programmed to walk on three legs but

24:54

it just figures it out

24:55

through a series of feedback and and

24:58

and relevance and so on and so wouldn't

25:01

it be great if we could build robots

25:03

like spirit that could say oh geez i'm

25:05

stuck i'm going to chew my

25:07

wheel off and then figure out how to

25:10

operate this body plan

25:12

uh differently so the wolf carries on

25:14

with the limp because

25:16

animals don't shut down with moderate

25:18

damage and neither

25:19

should our machines so in the last part

25:21

of the book i talk about what i see is

25:23

the biological

25:24

future of machines okay so that's all

25:27

i'm going to say by way of introduction

25:28

and uh at this point i'd love to uh

25:31

matthew chat with you you reintroduced

25:34

me

25:35

it's fascinating stuff there's so many

25:37

different

25:38

jumping off points i've got about

25:39

squillian questions my first is

25:42

how much do you think we understand

25:44

about our brains

25:46

now it's impossible to put a number on

25:49

it because you would have to know what

25:50

the 100 mark is to even say how much we

25:53

know but clearly we know very

25:54

little i mean we're just at the foot of

25:56

the mountain and that's because

25:59

this what we're talking about is

26:02

unrivaled in terms of its complexity in

26:04

terms of anything we've ever discovered

26:06

as i mentioned earlier there's 86

26:08

billion neurons every neuron in your

26:10

head is about as complicated as the city

26:12

of london

26:13

it has the entire human genome in it

26:15

it's trafficking millions of proteins

26:16

around

26:17

in very complicated biochemical cascades

26:20

and each one of these is

26:21

interacting with about 10 000 of its

26:23

neighbors over this you know 0.2

26:25

quadrillion connections so this kind of

26:28

thing

26:29

bankrupts our language and totally

26:31

boggles the mind a system of that kind

26:33

of complexity

26:34

and all we have riding on top of that is

26:36

just our

26:37

you know our consciousness where we

26:38

think oh i'm hungry you know i'm sleepy

26:41

whatever the thing is but

26:42

there's an enormous happening under the

26:45

hood

26:46

and so we know very little and by the

26:48

way in 2006

26:50

actually i wrote the cover article in

26:52

discover magazine

26:53

called 10 unsolved mysteries of the

26:55

brain

26:57

and the reason i mentioned the year is

26:58

because when i look back in 2020

27:00

we still don't we haven't made no

27:02

progress on any of those big questions

27:04

questions like

27:05

consciousness you know how do you ever

27:07

build a machine out of physical pieces

27:09

and parts and get

27:09

consciousness out of it have it you know

27:12

feel private subjective internal

27:13

experience

27:15

it's a supreme irony that our minds are

27:17

boggled

27:18

by our own minds i mean you mentioned

27:20

consciousness

27:21

how do you understand consciousness in

27:24

its most basic form

27:27

yeah it's the thing that flickers to

27:28

life when you wake up in the morning

27:30

if you meant what is the definition of

27:32

it but how to understand

27:34

it not only do we not have a good theory

27:36

about it we don't even know

27:38

what such a theory would look like

27:40

because

27:42

there's no way to take the tools of

27:44

science that we have and say okay look

27:45

you know just carry the two and do a

27:47

triple integral here

27:48

ah and that is the the taste of feta

27:50

cheese or the smell of cinnamon or the

27:53

the pain of pain or the redness of red i

27:55

mean there's

27:56

there's no way to even quite see how to

27:58

take our current tools and translate it

28:01

private subjective experience yeah

28:04

because you mentioned

28:05

you mentioned in the book that you've

28:07

done experiments with colors

28:09

how do we know that when i'm looking at

28:11

blue

28:12

you're seeing the same color as i am

28:15

yeah we we have no way of knowing that

28:17

and it you know of course it doesn't

28:19

matter as long as you and i

28:21

can you know can both call something

28:23

blue because our mothers taught us to

28:24

call that

28:25

blue it doesn't matter if what you call

28:27

it is what i see is you know is red on

28:29

the inside

28:30

because we can transact and negotiate in

28:32

the in the outside world

28:34

and um you know i think it might even be

28:36

far worse than that i mean

28:38

what you call vision and what i call

28:40

vision might be very different and

28:42

years might be upside down from mine or

28:43

something and it wouldn't matter as long

28:44

as we can transact

28:46

and negotiate in the outside world what

28:48

i find interesting

28:49

is this issue about can we create

28:53

new senses for humans if anyone's

28:55

interested in this this is the uh

28:56

you can just find my ted talk online

28:58

where i go into more depth on this but

29:00

like with the vaster with the wristband

29:02

can we create new senses for humans

29:04

the interesting part is that if we did

29:08

that we wouldn't really be able to

29:10

communicate it to other people so let's

29:12

say matthew that you wear

29:14

a vest that communicates stock market

29:16

data so you start having an internal

29:19

subjective experience of the economic

29:22

movements of the planet

29:23

and i'm wearing a wristband that tells

29:26

me

29:26

infrared light and so i start having

29:29

a direct perceptual sense of the

29:32

infrared light that's around me

29:33

which is normally invisible the thing is

29:36

we couldn't communicate that to each

29:37

other because

29:37

language is all about shared notions

29:41

and um it's impossible to imagine what

29:45

another sense would feel like in the

29:46

same way

29:47

if i asked you imagine a new color

29:51

so you know take a moment think about

29:52

imagining a new color it's impossible to

29:54

do and what this illustrates is the

29:56

fence line

29:57

of our internal experience we cannot

30:00

ever imagine something that's outside of

30:02

the experience we've already

30:04

had so it may be that we end up you know

30:07

having to invent new words for these

30:08

things and only other people that are

30:11

wearing this would ever even have an

30:12

understanding of it

30:14

given that our brains as you explain are

30:17

changing and adapting the whole time

30:20

what are the implications of that for

30:23

identity

30:26

yeah you know this is uh

30:29

this is something i wrote a lot about in

30:31

my book some which is a book of fiction

30:34

but

30:34

one of the things that i'd love to

30:36

explore

30:37

is this issue of how we change through

30:39

time without really realizing that we're

30:40

changing so one of the stories

30:42

in the afterlife you're split into all

30:44

of your ages

30:46

and so um you know the expectation is

30:48

that it'll be really wonderful to

30:50

hang out with all your different ages

30:51

but it turns out the seven-year-old you

30:53

kind of likes hanging out with other

30:54

seven-year-olds and the 65 year old you

30:56

really wants to hang out with other

30:57

colleagues instead of and so

30:59

once a year all of the different use the

31:01

different ages of you get together for

31:03

like a family

31:04

reunion but um but you're not really the

31:07

same person at all

31:09

through life and because we have the

31:11

same

31:13

sort of history and resume you kind of

31:15

think that you're the same person but

31:18

because the brain is constantly changing

31:20

with every new experience you have

31:22

um you you drift you change through life

31:26

uh by quite a bit so i think these

31:28

things are really interesting in terms

31:30

of thinking about our identity

31:32

but it also has possible implications

31:34

for accountability

31:36

even for criminal responsibility because

31:38

if we're

31:39

fundamentally different beings or

31:41

characters to where we were 10 years ago

31:44

five years ago

31:45

for how long should we continue to be

31:47

punished

31:49

yeah the interesting part is you know

31:51

people go off on different trajectories

31:54

depending on

31:55

for better or worse you know their

31:56

childhood experiences i mean from the

31:58

moment they drop out of the womb

32:00

people end up going off on different

32:02

pathways and it is often the case

32:04

that somebody who's going on a

32:05

particular pathway

32:07

stays generally in that range so if they

32:10

committed this crime three years ago

32:12

they may still whatever was worrisome

32:14

about

32:15

their character that did it at the time

32:17

they may still have that quality

32:19

but um i deal a lot with the criminal

32:21

justice system i

32:22

actually am the director of the center

32:23

for science and law

32:25

and i all the time i mean i know several

32:28

people in prison who

32:30

have exactly the situation that you've

32:31

described which is they committed a

32:32

crime let's say 30 years ago and they

32:34

are clearly different now

32:36

they're clearly not the same person and

32:38

they

32:39

um you know just as one example uh a lot

32:42

of times with sex crimes

32:44

um you know as as a brain just simply

32:47

ages it becomes very different and is

32:49

not as driven as it was and so on

32:52

anyway um yeah this is something that

32:54

the legal system always has

32:56

to deal with it tends not to incorporate

32:58

neuroscience too deeply into it at the

33:00

moment but i'm trying to change that

33:02

it's impossible as you said a little

33:03

earlier to know how much we don't know

33:05

about the brain is it impossible

33:07

in a similar sense to know how much

33:10

of you david is nature and how much of

33:13

it is nurture

33:15

yeah it turns out the nature versus

33:17

nurture question

33:18

is actually a dead question in biology

33:20

now because it is always both

33:22

so you know you drop into the world with

33:24

a certain set of

33:25

genes and that prescribes you know the

33:29

the borders of what

33:30

can happen and then from there

33:33

your experiences lead you off on very

33:35

different pathways but there's

33:37

all this feedback by which i mean

33:40

there's a whole field called epigenetics

33:42

now which is how your experiences

33:45

will end up feeding back all the way to

33:48

your genome

33:49

and causing some genes to express more

33:51

and express

33:52

less and change the configuration of the

33:54

genome

33:55

and so your experiences actually change

33:58

what is getting expressed and so these

34:00

things are tied

34:01

too tightly together to ever separate

34:04

them and this is one of the themes of

34:05

the book also

34:07

is that when you look at something like

34:10

artificial intelligence

34:11

which is all the rage here in silicon

34:13

valley where i live um

34:15

you know what it's doing is it's taking

34:18

a very

34:19

sort of simplified notion of

34:22

neuroscience which is okay you've got

34:23

these

34:24

units that are connected with each other

34:26

and then it goes off in its own

34:27

direction and it's done some incredibly

34:29

impressive stuff

34:30

but it's actually nothing like the brain

34:33

i mean the brain

34:34

does incredibly impressive stuff that's

34:35

quite different as in a three-year-old

34:37

child

34:38

can walk into a room and navigate the

34:40

room and get food to her mouth and

34:41

manipulate adults and do all kinds of

34:43

things that

34:44

computers can't do any of that stuff

34:45

well

34:47

not even close and so you know plus

34:49

humans have generalized intelligence

34:51

which means we can do many things

34:52

whereas with an artificial neural

34:53

network

34:54

it can discriminate pictures of dogs and

34:56

cats with superhuman skill

34:58

but if you then ask it to do something

35:00

else like distinguished pictures of

35:02

you know camels and bears it fails

35:04

catastrophically so

35:07

anyway part of what this has to do with

35:09

is in an

35:10

artificial neural network you're just

35:12

changing the connection strength between

35:13

neurons

35:14

but in real brains you have changes not

35:17

only at the connection points but all

35:19

the way down

35:20

the receptors that are expressed in the

35:22

cell the biochemical cascades all the

35:24

way down to the genome

35:26

so you've talked several times already

35:29

about

35:30

you know dropping into the world so if i

35:33

were to be

35:34

be dropped into the caveman era as you

35:37

mentioned in the book

35:38

how different would i have been yeah

35:41

you know it's funny right the question

35:43

is the question that i posed is

35:45

what if you're born exactly your genome

35:47

you know exactly you you drop

35:49

you come out of the womb and you find

35:50

yourself you know 30 000 years ago

35:52

instead of now

35:53

um i think you'd be an extremely

35:55

different person

35:57

because it's all about experience what

36:00

is the experience that you

36:02

have that's what molds and shapes your

36:05

brain

36:06

and so anything we think about that like

36:08

oh i'd probably be

36:10

yeah i'd probably be i'd be like me but

36:12

running around in a pelt around the

36:13

campfire

36:14

not uh probably not the case because

36:17

experience is so important and by the

36:18

way we see this all the time

36:20

um with nature's tragic experiments

36:24

with um you know kids who are severely

36:26

neglected or

36:28

um i didn't talk about this in the book

36:29

but i just took about this in my show of

36:31

the brain

36:32

uh about the romanian orphanages which

36:34

after the fall of chuchu ended up with

36:36

tens of thousands of kids whose parents

36:38

had been killed

36:39

and um there were too many kids and so

36:41

the staff decided okay look

36:43

the only way we're going to be able to

36:44

do this is if we

36:46

um don't talk to the kids and we don't

36:48

pick up the kids and cuddle them and so

36:50

on because otherwise they'll become too

36:52

clingy and so they just didn't interact

36:54

with the kids and all these kids ended

36:56

up with severe cognitive deficits

36:57

because

36:58

what mother nature is doing is actually

36:59

a bit of a gamble which is i'm going to

37:02

drop a brain into the world

37:04

half baked and i'm going to assume that

37:07

the conditions of the world are enough

37:08

to

37:09

to form the brain appropriately but if

37:12

you're not getting the right input then

37:14

the brain doesn't develop correctly

37:16

in the book you describe the very

37:18

difficult challenging story of the

37:19

little boy

37:20

matthew who has half of his brain

37:22

removed you spoke in your little

37:24

presentation

37:24

about what can happen when half your

37:26

brain is removed and

37:28

he ended up developing into a normal

37:30

human being he works in a restaurant

37:32

he's able to do

37:33

much the same as all the rest of us are

37:35

capable of doing it's not exactly the

37:37

same things but then you give a very sad

37:39

example of a little girl

37:40

who was found after i think the first

37:42

seven years or so of her life

37:44

and and she'd been trapped in a cellar

37:46

with no human interaction or almost no

37:48

human interaction at all

37:50

her development subsequent to that

37:53

was was far more difficult yeah that's

37:56

exactly right i mean she

37:58

can't speak language she can't see more

38:00

than 13 feet she can't choose solid food

38:04

and you know even after years and years

38:06

of training and all these you know

38:08

psychologists and people and everybody's

38:10

caring for her

38:11

she still hasn't gotten language because

38:13

the brain has

38:14

these closing doors these critical

38:16

windows that you need to learn things

38:18

like

38:19

language within or else it becomes

38:22

too late and so yeah you can do just

38:26

fine if you're getting love with half a

38:28

brain

38:28

but you can't do well if you have a full

38:30

brain but are not getting

38:32

the uh the things that a child needs in

38:34

order to develop correctly

38:36

just to follow up briefly on this nature

38:37

nurture plus consciousness and

38:39

accountability

38:40

theme before moving on if we are no more

38:43

than the sum of our nature and our

38:45

nurture can we be properly accountable

38:46

for anything i mean to what extent are

38:48

we autonomous if we're being

38:50

shaped by our genetics and also by our

38:53

environments

38:54

where does sort of free will fit into

38:56

that yeah this is one of the big

38:58

questions in neuroscience is do we

39:00

have free will because when we look at

39:01

the brain it

39:03

is vastly complex as i mentioned but it

39:06

is fundamentally a machine it's a

39:08

biological machine where every neuron is

39:10

getting driven by the activity of other

39:11

neurons

39:12

and it's not clear where you get sort of

39:14

a puff of

39:16

this extra bit in there that causes what

39:19

would be free will as opposed to it

39:20

being a

39:22

machine so uh so this is a very tough

39:25

question as it turns out

39:26

from the legal system point of view it

39:29

actually makes no difference

39:30

uh whether people had the free will or

39:32

didn't have the free will

39:33

because you still have to take someone

39:35

who's acting aggressive and violent and

39:37

so on

39:37

and take them off the streets to protect

39:39

everyone else so um

39:41

but you know the key the key thing with

39:43

the legal system is to

39:45

figure out how to best manage things

39:47

moving forward so instead of imagining

39:50

that incarceration is the one size fits

39:52

all solution

39:53

one of the things that we're able to do

39:55

is say um

39:57

hey you know you you have a drug

40:00

addiction problem here's the way we can

40:02

help you instead of imagining that jail

40:04

is going to help

40:05

oh you have a mental illness in the

40:06

united states it's estimated that 30

40:08

percent of the prison population has

40:10

mental illness having them break rocks

40:12

in the sun doesn't

40:13

help schizophrenia so you need to have

40:16

clever ways of doing things and finding

40:18

treatment for people

40:19

um but it doesn't change the fact that

40:21

if they've committed a crime you still

40:22

have to take them off the street

40:24

tell us as you're doing the book a

40:25

little bit more about it it's an

40:26

important thing

40:28

the different speeds of learning

40:31

yeah yeah so this is the thing we

40:34

uh as i mentioned was talking about

40:36

artificial neural networks

40:38

the reason artificial neural networks

40:40

look just at the synaptic connection

40:42

strength

40:43

and we tend to do that in neuroscience

40:44

also we just concentrate on that

40:46

is because that's what we can most

40:47

easily measure and so what i

40:49

suggest in the book is it's like the

40:50

drunk looking for the keys under the

40:52

street light because that's where the

40:53

light is best but the fact is

40:56

we know that all these parameters all

40:59

the way down

40:59

are are changing and so you get all

41:01

kinds of

41:03

weird and interesting properties out of

41:04

that and um and i'm able to

41:07

you know explain how these things come

41:09

out i'll give you one example which is

41:11

there's something called ribose law

41:13

which is the oldest

41:15

principle in neurology actually which is

41:17

that older

41:19

memories are more stable than newer

41:21

memories which is very weird right

41:22

because

41:24

institutions don't work that way they

41:25

don't remember their older stuff better

41:27

than their newer stuff

41:28

but human brains do and so if any of you

41:30

know

41:32

maybe you've known an older person who's

41:34

getting dementia

41:35

you know they can't remember what they

41:36

did in the last week or last month or

41:38

last year but they remember their

41:38

childhoods just fine

41:40

and in fact um one of the stories i tell

41:42

us about albert einstein who

41:44

um nobody knows his last words because

41:46

on his deathbed he was speaking

41:48

in german his original language and the

41:50

night nurse didn't speak german so we

41:51

don't know what his last words were but

41:53

this is quite common where people revert

41:55

to their original language

41:57

as they're getting very old and they're

41:59

on their deathbed

42:00

and so what this demonstrates is that

42:03

you know

42:05

human memory the way we talk about it is

42:07

not like memory in a computer or in an

42:09

artificial neural network but instead it

42:11

has to do with

42:12

learning getting pushed all the way down

42:15

different levels different um you know

42:19

speeds of change all the way down and so

42:22

what i compare it to

42:23

is um in a in a city

42:26

you have all kinds of different speeds

42:28

of change so if you look at a city over

42:30

time you know their fashion is changing

42:31

rapidly

42:32

and then commerce and the stores that

42:34

are there is changing more slowly and

42:35

then governance how you pass laws for

42:37

the city is changing even more slowly

42:39

and the architecture is changing even

42:40

more slowly and all the way down to

42:42

nature

42:43

and it's sort of the same kind of thing

42:44

that you can do in the brain where you

42:45

have some parts that are changing really

42:47

fast

42:47

and some parts are changing slow and

42:49

it's all about the interaction of these

42:50

that matters

42:52

so with memory when there are things

42:55

that we

42:56

know have happened to us but we can't

42:57

remember but want to remember

43:00

what's going on there are they somewhere

43:03

buried deep in our brain do they

43:05

do they exist there if you've got your

43:07

your torch out

43:09

and you're a very very clever

43:10

neuroscientist would you be able to

43:12

locate those for me

43:14

yeah it's probably not um in the sense

43:17

that

43:18

what happens as things get deeper and

43:20

deeper is there's some amount of

43:21

abstraction that goes on which is

43:23

okay i remember that this person i

43:26

really like and this person over here i

43:28

really

43:29

am suspicious about but you you don't

43:32

have you ever found yourself in the

43:33

situation where you can't really

43:34

remember the details like

43:35

but you know i i met that person years

43:37

ago i remember why i like that person so

43:39

much or why i feel that person is creepy

43:41

or whatever

43:41

but it's because you've abstracted away

43:44

the details because

43:45

for almost all of us we can't possibly

43:47

remember all those details the reason i

43:49

say almost all of us is

43:50

there are people with essentially

43:52

perfect memories they're called

43:54

nemenists

43:55

and they have what's called

43:57

hyperthymesia which is they just they

43:59

encode everything but it's a very

44:00

unusual state and by the way they're not

44:03

they're not particularly

44:04

happy about it as an indian philosopher

44:07

once

44:08

said memories beautify life

44:11

but only forgetting makes it bearable

44:14

so what's happening with this memory or

44:16

this perception of memory that i have

44:18

this is the

44:19

weekend of the notting hill carnival i'm

44:21

in notting hill normally if it were not

44:22

a pandemic there'd be a million or two

44:24

million people on the streets

44:26

unfortunately one or two of them might

44:27

be urinating on my front yard but it's

44:29

basically a celebration

44:30

of west indian culture and it's great

44:32

fun and i love it now i can remember

44:34

i've been going for decades

44:36

and i can remember or believe i can

44:37

remember going on my father's shoulders

44:39

when i was two years old

44:41

is that a real memory or is that a

44:42

memory of a memory to what extent

44:44

are memories memories of memories yeah i

44:48

mean

44:49

memory is a myth making machine and

44:50

we're constantly reinventing our past to

44:53

make it consistent with who we think we

44:54

are

44:55

the general story is that boys don't lay

44:57

down memory till about three and a half

45:00

girls at about three is when your first

45:02

real memory is

45:03

but when i say real memory even that is

45:06

suspect i mean

45:07

memories drift and by the way a

45:09

colleague of mine did a great study

45:10

right after

45:12

september 11th 2001 she

45:15

interviewed a number of people in

45:17

midtown and downtown new york in other

45:18

words those who've been right there and

45:20

those who've been a little distance away

45:21

but anyway she asked people about their

45:23

memories in great detail about september

45:25

11th that morning

45:27

and then she also asked them to sell

45:29

some memory from september 10th

45:31

just some banal thing about what they

45:32

ate for breakfast and blah blah and then

45:34

she

45:34

tracked them down a year later and asked

45:37

them about both types of memory it turns

45:38

out

45:39

both memories had drifted completely so

45:42

even

45:43

uh you know what we call amygdala memory

45:45

memory that's

45:46

emotionally valenced um doesn't

45:49

everything drifts we uh yeah we're

45:51

constantly

45:53

we're storytellers but if you look at

45:55

the tyrolean iceman who pops up in the

45:57

book

45:58

your belief or your hunch is that we

46:00

might be able to return to this

46:02

thoroughly and i spent in the future and

46:03

by

46:04

studying the brain actually paint a

46:06

picture for ourselves of what his life

46:09

his life was was like yeah

46:12

exactly so so the argument i make there

46:14

is you know

46:15

everything that happens to you is

46:18

stored in the structure of your brain i

46:20

mean that's what it means to

46:23

experience the the smell of something or

46:26

recognize somebody or have a memory as

46:30

you know true or false as that memory is

46:32

um

46:33

and so if we could take an ancient brain

46:37

and actually this is not going to happen

46:39

in our lifetimes but

46:40

actually learn how to decode the

46:42

structure of this massive machinery

46:44

um we could in theory know what it was

46:47

like to be the tyrone iceman

46:49

and again this is not to say that the

46:50

memories would be accurate but but

46:52

nonetheless the

46:53

the smells the sights the the memories

46:56

that he had

46:58

irrespective of their accuracy and so on

47:00

we'd be able to read that out

47:02

one of my mentors was was uh the great

47:06

brit francis crick

47:07

and um when he died in 2006 uh he was

47:10

cremated and i thought

47:12

god what a waste like he was he was

47:14

probably the greatest brain of 20th

47:15

century biology

47:17

and then it just gets burned up and i

47:18

thought damn it if we could have just

47:21

somehow had the technology to retain

47:23

that so that 100 years from now when

47:25

we're able to read that out we could say

47:27

hey francis you know what's

47:29

what do you think of this and that now

47:31

our brains have to simplify things as

47:33

you've already intimated

47:35

in order for us to be able to function

47:37

properly and one of the ways

47:39

as i understand it or experience it that

47:42

the brain simplifies things is

47:43

through language so when we're reading a

47:46

word

47:46

we're looking at symbols but very very

47:48

quickly instantly almost

47:50

we're computing meaning from them if i

47:53

look at a language that is foreign to me

47:56

a ten letter word could take a second or

47:59

two

48:00

to compute even visually whereas if it

48:03

were a ten letter word in english

48:05

it would happen just like that so what's

48:07

going on there

48:09

yeah it turns out what we do is we

48:12

change our own circuitry to automatize

48:15

the tasks that are important to us so

48:17

for you reading english is really

48:18

important

48:19

so from the time you were a child you've

48:21

been drilling that into your head so now

48:23

what you have is

48:24

all this circuitry that is specialized

48:27

for reading the english language if you

48:29

grew up in china you'd have different

48:31

specialized circuitry just for reading

48:33

that sort of language

48:34

and when things become they sort of get

48:37

part of the circuitry the hardware of

48:39

the brain

48:41

they become fast and and effortless and

48:43

use very little

48:44

energy and so this is the game that the

48:47

brain is always playing is

48:49

how can i take the things that are in my

48:52

environment that i need to figure out

48:54

and make it so that it becomes part of

48:56

the machinery and i don't have to put

48:58

much effort into that and actually let

49:01

me just say one

49:02

tangential thing about this which is

49:05

despite how awful this uh

49:08

coronavirus lockdown is for everybody

49:11

um i think the one good silver lining

49:14

that comes out of this

49:16

has to do with brain plasticity which is

49:18

to say

49:19

we have grown up and we spent our whole

49:20

lives optimizing our brains to operate

49:23

in this world as we know it and suddenly

49:26

all of us are kicked off of our path of

49:28

least resistance we're all off of the

49:30

hamster wheel that we're used to

49:33

and we're having to be very creative and

49:34

think of things afresh

49:36

and you know there's plenty of stress

49:38

and anxiety that goes with this

49:39

but boy i think that is one of the best

49:42

things that can happen for the brain

49:44

is being forced to rethink everything um

49:47

and and build new bridges how

49:49

fundamentally and how quickly can we

49:52

change when we're in our 40s 50s 30s

49:55

once we

49:56

feel that we're pretty much fully

49:57

developed i mean i imagine

49:59

neuroscientists are fascinated by

50:01

how we're reacting and responding to

50:02

this pandemic

50:04

exactly right look one of the things

50:06

that i for that i suggest

50:08

in the book is that you know so we know

50:09

plasticity diminishes with age

50:12

but part of that has to do with

50:14

motivation which is to say

50:16

um as as we get into our 40s and we have

50:20

a really good model of the world and we

50:21

can optimize our functioning and say wow

50:23

i really got this

50:24

i've got my job i go to lab i go to my

50:27

company

50:27

this is cool there's less and less

50:32

relevance to changing that internal

50:34

model there's

50:35

there's no motivation for it but if we

50:37

are challenged

50:39

and we have to change our internal model

50:41

we are able to i mean there's

50:42

adult plasticity the brain can change in

50:45

an adult pretty easily

50:46

it's just that most of us never have

50:47

that opportunity to try

50:50

but one of the things that you find is

50:52

that um

50:54

you know when people retire for example

50:57

their lives tend to shrink

50:59

and uh and and dementia sets in

51:02

but there's been a a multi-decade study

51:05

going on about people who have been

51:06

cognitively active their whole lives up

51:08

to the day they die

51:09

they have all kinds of challenges and

51:11

things they have to do

51:13

even so some of them it turns out have

51:15

alzheimer's disease and their brain is

51:17

physically degenerating but even as

51:18

their brain is

51:19

generating they're constantly building

51:20

new roadways because of

51:22

challenging themselves to what extent is

51:25

it true that we

51:26

can train the brain as a muscle so that

51:29

by continuing to be cognitively active

51:31

as you describe

51:32

we're actually retaining more of our

51:34

brain function

51:36

yes i mean that is one that is probably

51:39

the most important lesson from modern

51:41

neuroscience is the

51:43

the critical nature of doing that which

51:45

is to say

51:46

keeping your brain challenged all the

51:48

time uh this is true for us but it's

51:50

especially true as people get older and

51:51

older

51:52

um and what that means is seeking novel

51:56

challenges things that are frustrating

51:58

but achievable

51:59

in that range and you know as soon as

52:01

you get good at something like sudoku or

52:03

whatever

52:04

drop that and pick up the next thing

52:06

that you're no good at

52:07

that's the key is to constantly

52:09

challenge the brain

52:10

this isn't entirely unrelated to the

52:13

reading of the language

52:14

question but when we talk of muscle

52:16

memory

52:17

so if you learn a martial art or if

52:19

you're a concert pianist

52:21

but it's extraordinary isn't it the

52:22

extent to which a concept pianist can

52:25

play at a ferocious pace

52:27

and you think the mind can't actively

52:30

surely

52:31

be triggering all those different finger

52:33

movements what's going on there to put

52:35

it simply

52:36

yeah well it's it's not actually muscle

52:39

memory even though we call it that it's

52:40

all in the brain it's all about the

52:41

brain re

52:42

you know reconfiguring its circuitry to

52:45

say ah okay rock monopoly piano concerto

52:47

bang here it is

52:48

it's getting burned all the way down to

52:50

the circuitry and so for the pianist

52:52

first learning how to play the rock

52:54

three it is

52:55

unbelievably challenging and takes a lot

52:56

of cognitive effort but after one

52:58

becomes you know

53:00

health god or you know uh ashkenazi you

53:03

just

53:04

um to call it muscle memory simply means

53:06

it's burned into the circuitry so

53:08

your conscious mind is no longer

53:10

involved in it at all it's just part of

53:12

your

53:12

operating system now i want you to tell

53:14

us a little bit more about

53:16

sleep and what's going on with our

53:18

brains at that point you talked earlier

53:20

about consciousness bubbling up as we

53:22

wake up

53:22

but rem sleep has a very important

53:24

function doesn't it

53:26

yeah and so this i mentioned in the talk

53:28

i think my

53:30

my hypothesis which i think is true now

53:32

we've published on this is that um

53:34

yeah is that rem dream sleep is all

53:37

about

53:37

just keeping the cortex active against

53:40

invasion

53:41

by by neighbors and generally sleep has

53:44

lots of functions

53:45

deep sleep which is different than dream

53:47

sleep deep sleep

53:49

has functions in terms of taking out the

53:51

neural trash and consolidating things

53:52

that were learned

53:53

during the day and so on there's a lot

53:55

of study on this um

53:57

currently there's sort of you know many

53:59

different um

54:01

functions of sleep that all seem to be

54:03

true at the same time

54:05

we're building on this though there's a

54:07

lot of competition going on inside our

54:09

brains

54:10

isn't there and i wonder how the brain

54:12

prioritizes on our behalf

54:15

the things that we really need to be

54:17

doing

54:18

yeah it doesn't do any prioritization it

54:20

has to do has everything to do with

54:22

uh the data that comes in so just as an

54:26

example if i

54:27

if i were to um if i were to anesthetize

54:30

my arm like let's say i put in a clamp

54:31

really tightly so

54:33

i or i inject it with an anesthetic

54:36

my brain maps will start to change

54:38

because it says oh i'm simply not

54:39

getting enough

54:40

data from the armor if i even tie two

54:42

fingers together so instead of acting as

54:43

two independent fingers

54:45

it's like one unit now um my brain maps

54:48

will actually

54:49

change so it's all about what's coming

54:51

in and as far as

54:52

other stuff it's all about what is

54:55

relevant what you get good

54:56

feedback on so uh so in the book i

54:59

propose what if there were a fictional

55:01

brother

55:02

to venus and serena williams named fred

55:05

williams

55:06

and he did just as much tennis practice

55:09

as they did

55:09

but for whatever reason he didn't like

55:11

it he didn't get

55:12

the positive feedback from relatives and

55:16

friends and whatever he wasn't motivated

55:18

to do tennis and whatever

55:20

what would happen his brain and the

55:21

answer is his brain would not

55:23

change in the same way venus and

55:25

serena's brains would be changing and

55:26

the reason is

55:27

you you need the positive feedback as a

55:30

way of changing the distribution of

55:32

territory but explain then what's

55:34

happening if it's not about

55:35

prioritization

55:36

when i'm speaking to you and we've got

55:38

hundreds of people

55:40

listening and watching so that's kind of

55:41

important you've definitely got my

55:43

attention i'm very focused on this

55:44

conversation but if

55:46

over the rim of my laptop i would see a

55:48

lion

55:49

rear its head outside my window unlikely

55:51

though that might be

55:52

i think i might become distracted from

55:54

our conversation so what what what

55:56

happens there in terms of prioritization

55:59

well

56:00

yeah great what you're talking about is

56:01

the attentional system and you've got

56:02

these very

56:04

deep systems we'd summarize that as the

56:06

limbic system

56:07

that is all about yeah is there an

56:10

emergency thing going on and that you

56:11

know you're constantly

56:13

re-um allocating your attention based on

56:16

priorities and so that's not so much a

56:19

brain plasticity issue as a very deeply

56:22

wired

56:22

fundamental thing about oh i'm in danger

56:25

and all your attention goes there but

56:28

isn't it interesting though david that

56:30

given the sophistication of our brains

56:32

so sophisticated that

56:34

even our own brains don't understand how

56:36

much more there is to understand about

56:37

them

56:38

sort of paradox yet at the same time we

56:41

as human beings are notorious

56:43

for being very very poor poorly equipped

56:46

to deal with

56:47

more than two kind of big thoughts or

56:49

big ideas

56:50

or big attention grabbers at the same

56:53

time so at the moment we're absolutely

56:54

focused on the pandemic

56:56

yet climate change is roaring up on the

56:58

horizon

56:59

so why are we so simplistic and yet so

57:01

complex at the same time

57:04

this has to do with the funnel of

57:07

consciousness so you've got this entire

57:09

cosmos going on inside your head

57:11

but you know your consciousness has a

57:13

very low bandwidth and so can only think

57:15

essentially one

57:16

thought at a time and fundamentally

57:19

we are creatures that have grown up in

57:21

small groups and we have very basic

57:23

sorts of

57:24

needs and wants and desires and so what

57:26

you care about is

57:28

what's my next meal who's my mate what's

57:30

going on with you know the next thing

57:32

and so

57:33

um you know bigger issues going on in

57:36

the world are

57:37

hard to hold on to and stay

57:40

invested in because you've got other

57:42

more local needs going on because that's

57:44

just the kind of creatures that we are

57:47

um i've got to prioritize the questions

57:50

i ask you because we haven't got a huge

57:51

amount of time

57:52

left and i want to bring in some q a

57:54

questions as well

57:55

describe to us briefly if you would in

57:57

the most broad sense the power of the

57:59

mind

58:00

over the body the mind can play tricks

58:02

on us as you as you say

58:04

but when we we can go as far as say to

58:06

imagine symptoms of

58:08

physical illness or weak perhaps or we

58:10

can correct me if i'm

58:12

i'm wrong or we can manifest physic

58:15

physical signs of distress as a result

58:17

of what's going on in our brain

58:20

yeah the brain and the body of course

58:21

are tied very tightly together

58:24

um and some people even point to you

58:26

know oh well is the gut involved and how

58:29

we think and so um the general story on

58:31

this

58:32

is that the brain is the densest

58:33

representation of who you

58:35

are it's like the the metropolitan

58:38

center and this is

58:39

the body is let's say the greater

58:40

metropolitan area but there's plenty of

58:43

interaction and communication between

58:45

those and so it's no surprise that we

58:47

show all kinds of physical symptoms with

58:50

things as far as the power

58:52

of the mind over the body that is

58:55

unfortunately limited i mean if you get

58:57

skin cancer in your leg you're not going

58:59

to be able to think your way out of that

59:01

one

59:01

it's just um yeah there's there's uh

59:04

unfortunately there's so much in biology

59:06

that our minds

59:07

can't uh accomplish that way

59:10

sorry when we typically hear about

59:12

people fighting

59:14

or or struggling against cancer or

59:16

another disease

59:18

is that unfair i mean often people who

59:19

suffer from those diseases themselves

59:21

talk about the fight that they're

59:22

engaged with but can

59:24

the mind help us to get better i mean

59:26

you can't wish away cancer but can you

59:28

fight it

59:30

yeah uh unfortunately it does not seem

59:32

so i mean every single

59:34

person who's had cancer uh has died has

59:37

as has ever

59:38

what i mean is even the most optimistic

59:40

buddhist monk or whatever

59:41

they all everybody dies and so um

59:44

that tells us that it's not something

59:46

that you can just use the mind to

59:48

override the body

59:49

on that stuff when when people talk

59:50

about struggling with cancer and

59:52

struggling against it

59:53

i think most of what they're talking

59:54

about is a psychological thing like how

59:56

do i

59:58

put aside my grief and how do i

60:00

communicate with my family well

60:02

and how do i stay optimistic about

60:04

things but

60:05

they're not actually fighting the cancer

60:08

itself they're fighting all the

60:09

psychological warfare around it

60:11

final quick question for me before the q

60:12

a how do you see

60:14

gertrude the pig and the future do you

60:17

believe that we will get to a point

60:18

where we start inserting chips into our

60:20

brains so that we can turn the telly on

60:22

and off

60:23

you're referring to the neural link

60:25

presentation the other day yeah the

60:27

yeah so for anyone who doesn't know uh

60:29

yeah elon musk's

60:30

new company is neural link where they

60:32

drill a hole in the head and they insert

60:34

electrodes

60:35

what's just one second thing on that um

60:38

inserting electrodes into the brain to

60:40

be able to measure from neurons

60:42

there's nothing new about that that's

60:43

been happening for at least 50 or 60

60:45

years but

60:45

the um but what what he and his team

60:48

have developed is a way of sort of

60:50

sowing electrodes in there so you get a

60:52

higher density so they can read

60:55

let's say a thousand different neurons

60:57

activity

60:58

uh without hitting any blood vessels

61:00

it's it's it's quite cool

61:02

um but it's just a different degree of

61:04

what we've been doing but

61:05

um the question is will consumers go for

61:09

that that

61:10

was sort of always the shtick around

61:13

neural link is wow everybody will get

61:14

that here's what i think in one sentence

61:16

which is that

61:17

it's going to be very useful for

61:18

clinical

61:20

states as in you know with major

61:21

depression or parkinson's or epilepsy

61:24

and you know this idea of just getting a

61:26

better density of electrodes in there

61:29

will it ever get to the point where

61:31

consumers use it to interact with their

61:33

phone faster i doubt it and here's why

61:35

it's because it's an open head surgery

61:37

and surgeons aren't going to do it

61:38

because there's always risk of infection

61:40

and death on the table

61:41

and it's just not worth the risk in

61:43

order to be able to uh interact better

61:45

with your computer

61:47

joel wants to ask you david says my

61:48

stepfather's 88 has taken on lots of new

61:51

habits

61:52

and interests around poetry and

61:54

literature after my mother's death

61:56

and he said he thought that his brain

61:57

had changed is this possible so late in

62:00

life it plays back into a question

62:01

earlier on in that conversation

62:03

sure yeah i mean there's anal plasticity

62:05

and if you're challenging yourself like

62:07

really appropriately challenging

62:08

yourself

62:09

again as soon as you get good at

62:10

something dropping that picking out

62:12

something that you're no good at

62:13

then yes that is exactly what happens

62:16

how do we says marek how do we

62:18

reconcile the amazing examples of

62:20

plasticity

62:22

with the failure of the brain to recover

62:24

from for example a hard blow to the head

62:28

yeah um one of the studies that i talk

62:31

about in the book is

62:32

um after world war ii there were a

62:34

number of people with

62:36

head injuries and so a scientist in the

62:39

70s

62:40

tracked down a whole bunch of these

62:42

soldiers who had now grown up to see how

62:44

they were faring and what he found

62:46

pretty clearly was that the younger you

62:48

are when you get the head injury the

62:49

better off you are

62:51

the older brain gets the less flexible

62:54

it is

62:55

and it's for this reason that i

62:56

mentioned before which is that you've

62:58

been

62:58

learning the world and as you've been

63:00

learning the world you've cemented more

63:01

and more

63:02

tightly into place and so then when

63:04

something gets damaged it's

63:05

it's harder to find room to move around

63:08

but the

63:08

younger you are the moon you have to do

63:10

that

63:12

and michelle says when you spoke about

63:15

why we dream

63:17

does that mean that the people who have

63:19

permanently lost their vision

63:21

do not dream and and that's not an

63:23

entirely different different question to

63:25

jill so he says does a blind person

63:26

dream in images

63:28

if we dream

63:33

it's a great question and the thing is

63:34

that blind people do dream but it's not

63:36

visual what they what they dream about

63:40

is i was walking around in my living

63:42

room and someone had moved the couch and

63:44

then there was this bizarre

63:46

creature over in the corner that i was

63:47

feeling and so on

63:49

so they have dreams because they still

63:52

have the circuitry it's a very

63:53

evolutionarily old thing that we have

63:56

that drives activity into the occipital

63:58

cortex

63:59

so as shorthand i was just calling it

64:01

the visual cortex but as i mentioned at

64:03

the beginning

64:04

for a blind person is not the visual

64:06

cortex it's just the occipital lobe here

64:09

activity gets driven into there but for

64:11

a blind person

64:12

that involves touch and feel and hearing

64:14

and so on

64:15

and so that's what they dream about anna

64:19

wants to know whether you've done any

64:20

research on the brain reaction

64:22

to covert or post covid's loss of smell

64:25

and taste

64:26

no i'm keeping my eye on that like

64:28

everyone is it's an emerging

64:29

uh it's an emerging field on that

64:33

joel says if brain transplants were

64:34

possible how would a brain

64:37

adapt to a new body

64:40

amazingly i think it would adapt so fast

64:43

because i mean just

64:44

just look at when somebody climbs into

64:45

one of those big mech suits where you

64:47

can control you know

64:48

a 12 foot tall robot or just control a

64:50

crane or control whatever

64:53

brains are just so good at saying oh i

64:55

get it i've got a different body now

64:57

you know it just doesn't take that long

64:59

uh the interesting part if

65:00

if you could actually do a brain

65:02

transplant is that it might be that

65:04

there's different chemicals in terms of

65:06

the adrenal gland and other

65:08

hormones and so on coursing around so

65:10

that your cognition might be a little

65:12

bit different it would be like as if you

65:13

just

65:14

drunk a beer or something and you're

65:16

just slightly you know you're three

65:17

percent different than you were

65:19

because of the different chemicals

65:21

coursing around from the other person's

65:22

body

65:23

just in synthesis explain this part in

65:25

the book where you talk about live

65:26

live wired devices and why we haven't

65:29

built them yet

65:31

oh yeah the reason we haven't built them

65:33

out is because we're just starting to

65:34

scratch the surface and what i'm hoping

65:35

is that this book

65:36

is the the launching pad for really

65:40

understanding

65:40

what what are the principles that the

65:42

brain is actually doing

65:44

and therefore how can we build machines

65:47

to do this

65:47

you know i make a bunch of suggestions

65:51

about

65:51

um you know hooking up the international

65:53

space station so that when you plug in a

65:55

new module it just figures out

65:57

what to do with its new body and how to

66:00

use its new sensors and so on

66:01

all the way to could you build a

66:04

building where

66:05

it dynamically changes things like oh i

66:07

see the kitchen's getting used a lot so

66:09

i'm going to make the kitchen space

66:10

bigger

66:11

and uh oh these bathrooms are getting

66:12

used a lot there's a lot of traffic so

66:14

i'm going to grow more

66:16

toilets and grow the piping and the

66:18

wiring in there and so on

66:20

that's what bodies do and the question

66:22

is why can't we build

66:23

you know buildings to do that as well a

66:25

couple of uh questions by the way

66:26

it's it's brilliant how concise you are

66:28

on your answers when we're talking about

66:30

such complicated things

66:32

it's like my friend who emailed earlier

66:33

who said she won a prize with her

66:35

her book club for describing one of your

66:37

books i think it was some actually

66:39

and the reason she thinks you're so

66:41

brilliant is because you're able to

66:42

explain things

66:43

in ways that people who might not

66:45

normally be able to understand them can

66:46

understand them

66:47

and i include myself in that layla and

66:49

karen both have questions about cancer

66:51

ladies can brain

66:52

can the brain detect cancer cells and if

66:54

so why can't it help cure it and karen

66:56

says david considering the connection

66:57

between the brain and the body

66:59

do you think there would be a way to get

67:00

the brain to focus on an area of the

67:02

body to prevent future cancer in it or

67:04

heal early cancer for example breast

67:06

cancer

67:08

this is closely related to what i

67:09

answered before and i i i wish i had

67:12

something more optimistic to say

67:14

about this but people have been trying

67:16

this

67:17

eagerly for hundreds or thousands of

67:19

years

67:20

and i don't think there's that much

67:22

success with

67:23

with that um you know when steve jobs

67:27

got cancer he went he tried all kinds of

67:29

things like this and of course every

67:32

um you know spiritual leaders and so on

67:34

they've all done this kind of thing but

67:35

there doesn't appear to be a way at

67:37

least that we know about

67:39

yet um in contrast

67:42

there are pharmaceutical drugs that just

67:44

that just take care of things i mean you

67:46

know

67:46

this is true with anything we look at

67:48

for better or worse you know take

67:49

something like depression

67:51

um you know there's no people used to

67:54

take something like schizophrenia

67:55

actually people used to

67:58

think the person was uh possessed by the

68:00

devil and beat them and

68:01

put them in jail and stuff like that and

68:03

that doesn't actually work

68:05

but a little pill works wonders for

68:08

clearing that up and then the person

68:09

doesn't have schizophrenia anymore so

68:11

these are the reasons

68:12

why we have turned increasingly to a

68:15

biological understanding of the brain

68:17

because we realize wow you just change

68:18

this or that

68:19

and suddenly that's gone so i think the

68:22

same thing applies the trainer asks can

68:24

you

68:24

can you say something about the sixty

68:26

percent brain shrinkage during sleep

68:30

sixty percent brainstorming sixty

68:32

percent brain shrinkage during sleep i

68:34

have no idea

68:36

yeah i i've not i've not heard of that

68:39

lynn asks so one of the takeaways from

68:41

for me from this is the activity with an

68:43

hour can change the

68:45

somatosensory cortex can

68:48

yoga have an impact on the somatosensory

68:50

cortex and how

68:54

um yeah now the the data i cited about

68:56

the change in an hour was about the

68:58

visual cortex not somatosensory but

69:00

generally the somatocentric cortex is

69:01

very flexible

69:03

because as you you know first of all as

69:06

you grow from an infant to an

69:07

adult your body completely changes when

69:10

you get on different devices it changes

69:12

um you know as i said if you you know

69:14

break your pinky or whatever things

69:15

change

69:16

um so it is all very flexible can yoga

69:19

change

69:20

it i mean certainly that changes your

69:22

motor cortex and your ability to

69:24

balance on your head and so on you learn

69:26

how to do things with your body that you

69:28

didn't know

69:29

otherwise um but that what i'm answering

69:33

might be obvious and so

69:34

there's no i don't have anything beyond

69:36

that to say just gonna

69:38

hurt all through one or two more

69:39

questions do do brains get

69:41

better at anything with age

69:45

yeah what they're very good at doing is

69:48

predicting the future better because

69:50

when you're a child

69:51

everything's new and you're able to pick

69:53

up new languages rapidly and so on but

69:55

you don't really have a good model of

69:56

the world

69:58

and so as you get older you've seen

70:00

things before you've seen patterns

70:01

you've met

70:02

personality types you've you you've kind

70:05

of gotten it so

70:06

so little surprises you and that is both

70:08

good and bad but the good part of it

70:10

is the reason it doesn't surprise you is

70:12

because you have a pretty broad model of

70:14

what's happening now so that's what

70:16

brains get better at

70:17

juliet asked with the idea of

70:19

neuroplasticity can you rewire your

70:21

brain to overcome unhelpful beliefs

70:23

input

70:24

during childhood it's

70:27

challenging and it's because this stuff

70:29

goes

70:30

deep the stuff that happens to you

70:31

during childhood goes very deep

70:33

but we've probably all had the

70:35

experience of of

70:37

sometimes accidentally or otherwise

70:39

reframing something and realizing

70:41

something about

70:43

oh i don't know let's say somebody in

70:44

your childhood or treated you badly or

70:46

whatever

70:46

and then you learned something later in

70:48

life like oh that person had this

70:49

terrible problem going on

70:51

and we didn't realize it and then

70:54

it's um it's sort of a breakthrough

70:56

because of this very deep level

70:58

you're understanding that your whole

70:59

model upon which you've built lots of

71:01

other stuff

71:02

there's something at the bottom of the

71:04

model that's not right anymore you pull

71:05

the rug out from under that and you have

71:07

a chance to reconstruct a bunch of

71:08

things

71:09

so it is possible to to change our minds

71:12

on stuff

71:13

um it's just it's it's harder and harder

71:16

the

71:16

the deeper that stuff goes we've touched

71:19

of course in different ways on

71:20

personality but marta says where does

71:22

personality fit into this and is that

71:24

static

71:24

or amenable to change um

71:28

it's both amenable to change and it is

71:30

something that changes

71:31

i mean if you've ever had the experience

71:33

of finding a diary entry that you wrote

71:35

20 years ago and you think

71:37

god how did i do that i was such a

71:39

different person

71:40

um yeah personality changes you know

71:43

again i would say it's within a

71:44

particular

71:46

wind you know a cone so you can

71:49

you know you can change within a certain

71:51

cone you can't probably become

71:53

a completely different person but

71:55

there's definitely drift

71:57

the question for me before we end see

72:00

is it i'm like what i'm sort of

72:02

struggling to understand is the extent

72:04

to which

72:04

we can interfere physically with our

72:07

brains

72:08

in order to change things enhance things

72:10

diminish things

72:11

so could you work out which part of my

72:14

brain is responsibility for a particular

72:16

personality trait

72:18

and get in there with equipment medical

72:20

equipment and change it and tweak it

72:23

we can't now and probably not for the

72:25

foreseeable future and it's because

72:28

something about your personality is not

72:31

in any particular area the analogy that

72:34

i used in my in my show the brain is

72:36

that

72:36

you know imagine i looked at the city of

72:38

london and i said okay

72:40

where exactly is the economy of london

72:43

there isn't a single spot it's all about

72:45

the interaction of every restaurant tour

72:47

and store and this

72:48

you know it's all the the economy of

72:51

london

72:52

comes out as an emerging property of

72:54

lots of things and it's the same with

72:55

your

72:56

personality so no there's no way for us

72:58

to look and see something

73:00

and all of the ways of doing

73:03

intervention

73:04

now including elon musk's cool

73:07

technology

73:08

it was only hitting a very tiny area and

73:10

it's only measuring from a thousand

73:11

neurons out of

73:12

86 billion neurons and so no is the

73:15

answer for better or worse we've spent a

73:17

lot of the last hour or so talking about

73:20

the amazingness in some ways of the

73:22

brain and also its complexity we've also

73:24

talked about some of its limitations

73:26

it's kind of extraordinary isn't it to

73:27

reflect on the fact that we're able to

73:29

the reason that we have supremacy over

73:31

other animals

73:32

is because our brains are so

73:33

sophisticated that we can develop

73:35

tools that are stronger than we are to

73:37

keep them at bay so we can invent guns

73:39

for example we can create computers

73:42

that are smarter in certain ways than we

73:45

are

73:46

and yet the world grinds to a halt

73:48

during a pandemic

73:49

because it takes us so long to achieve a

73:51

vaccine and we do not

73:52

even certain yet that we'll ever get

73:55

there does that

73:56

kind of amaze you as well yeah i mean i

73:59

will say that this vaccine is the

74:01

fastest one we've ever made

74:03

and it's um it is actually amazing to

74:06

watch 7.5 billion people

74:08

all concentrating on one problem because

74:11

the scientific progress on this

74:13

has been unmatched in history before so

74:16

so that's the

74:17

good news about it um the fact that

74:20

we're all sort of

74:20

stuck and you know not knowing what to

74:23

do and so on

74:24

just demonstrates that as a species we

74:26

are still very young we're still not

74:28

terribly sophisticated we've made a lot

74:30

of

74:30

great gadgetry like you know the

74:33

internet and so on

74:35

um but we're still growing up we're

74:38

still in our infancy and learning

74:39

how to best use these tools i love the

74:43

fact that you were able to trick me into

74:44

thinking that really was your living

74:45

room

74:48

yes that's one of the tools i use is the

74:50

virtual background on zoom

74:52

it's been really interesting spending

74:53

the last hour or so with you thank you

74:55

so much for your

74:56

time your book of course livewire is

74:58

available there's loads more

75:00

in that we just touched the surface

75:01

thank you very much david thank you to

75:03

everyone as well for tuning in

75:05

dialing in from right around the world

75:07

we've got loads more events with the how

75:09

to academy

75:10

including i'll be interviewing sir

75:11

ronald cohen tomorrow and then the

75:12

former england rugby captain

75:14

dylan hartley on thursday but we've got

75:16

a really exciting

75:17

events autumn schedule ahead so thank

75:20

you to everybody involved

75:22

do stay loyal to the how to academy it's

75:24

such an important way of

75:25

sharing ideas during this challenging

75:27

time thank you everyone stay safe and

75:29

stay well

Interactive Summary

The video features a conversation between Matt Stadler and neuroscientist David Eagleman about his book "Live Wired: The Inside Story of the Ever-Changing Brain." Eagleman explains that the brain is not like hardware or software, but a dynamic, reconfigurable system he calls "livewear." He highlights the brain's remarkable flexibility, citing examples of individuals with significant portions of their brain missing who function normally. Eagleman discusses how the brain adapts to inputs, using the example of sensory cortex remapping in blind individuals. He also introduces a novel theory about dreaming as a mechanism to protect the visual cortex from being taken over by other senses during sleep. The conversation touches upon sensory substitution, how the brain controls outputs, and the concept of "livewired devices" that mimic the brain's adaptability. They explore the implications of brain plasticity on identity and accountability, the nature of consciousness, the limitations of current scientific understanding, and the interplay of nature and nurture. The discussion also delves into memory, the different speeds of change within the brain, and the idea that cognitive activity throughout life can maintain brain function. Finally, they discuss the power of the mind over the body, the challenges of diseases like cancer, and the future of brain-computer interfaces.

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