What happens in your brain when you pay attention?

Paying close attention to something:

not that easy, is it.

It's because our attention is pulled
in so many different directions at a time,

and it's in fact pretty impressive
if you can stay focused.

Many people think that attention
is all about what we are focusing on,

but it's also about what information
our brain is trying to filter them out.

There are two ways
you direct your attention.

First there's over-attention.

In over-attention, you move your eyes

towards something in order
to pay attention to it.

Then there's covert attention.

In covert attention,
you pay attention to something,

but without moving your eyes.

Think of driving for a second.

Your over-attention,
your direction of the eyes,

are in front,

but that's your covert attention
which is constantly scanning

the surrounding area,

where you don't actually look at them.

I'm a computational neuroscientist,

and I work on cognitive brain
machine interfaces,

or bringing together the brain
and the computer.

I love brain patterns.

Brain patterns are important for us
because based on them we can build

models for the computers,

and based on these models
computers can recognize

how well our brain functions,

and if it doesn't function well,

then these computers themselves
can be used as assistive devices

for therapies.

But that also means something,

because choosing the wrong patterns

will give us the wrong models

and therefore the wrong therapies.

Right?

In case of attention,

the fact that we can

shift our attention not only by our eyes

but also by thinking,

that makes covert attention
an interesting model for computers.

So I wanted to know what is
the brainwave patterns

when you look overtly
or when you look covertly.

I set up an experiment for that.

In this experiment there are
two flickering squares,

one of them flickering
at a slower rate than the other one.

Depending on which of these flickers
you are paying attention to,

certain parts of your brain
will start resonating

in the same rate

as that flickering rate.

So by analyzing your brain signals,

we can track where exactly
you are watching

or you are paying attention to.

So to see what happens in your brain
when you pay over-attention,

I asked people to look directly
in one of the squares

and pay attention to it.

In this case, not surprisingly,
we saw that these flickering squares

appeared in their brain signals

which was coming from
the back of their head,

which is responsible for the processing
of your visual information.

But I was really interested

to see what happens in your brain
when you pay covert attention.

So this time I asked people
to look in the middle of the screen

and without moving their eyes,

to pay attention
to either of these squares.

When we did that,

we saw that both of these flickering rates
appeared in their brain signals,

but interestingly,

only one of them,
which was paid attention to,

had a stronger signals,

so there was something in the brain

which was handling this information

so that thing in the brain
was basically the activation

of the frontal area.

The front part of your brain
is responsible

for higher cognitive functions as a human.

The frontal part, it seems that
it works as a filter

trying to let information come in
only from the right flicker

that you are paying attention to

and trying to inhibit the information
coming from the ignored one.

The filtering ability of the brain

is indeed a key for attention,

which is missing in some people,

for example people with ADHD.

So a person with ADHD
cannot inhibit these distractors,

and that's why they can't focus
for a long time on a single task.

But what if this person

could play a specific computer game

with his brain connected to the computer,

and then train his own brain

to inhibit these distractors?

Well, ADHD is just one example.

We can use this cognitive
brain machine interfaces

for many other cognitive fields.

It was just a few years ago

that my grandfather had a stroke
and he lost complete ability to speak.

He could understand everybody,
but there was no way to respond,

even not writing
because he was illiterate.

So he passed away in silence.

I remember thinking at that time,

what if we could have a computer
which could speak for him?

Now after years that I am in this field,

I can see that this might be possible.

Imagine if we can find brainwave patterns

when people think about images
or even letters,

like the letter A generates
a different brainwave pattern

than the letter B, and so on.

Could a computer one day communicate
for people who can't speak?

What if a computer

can help us understand

the thoughts of a person in a coma?

But we are not there yet,

but pay close attention.

We will be there soon.

Thank you.

(Applause)