Neurosurgeon Answers Brain-Computer Interface Questions
Released on 09/22/2025
I'm Ben Rapoport.
I'm an electrical engineer and neurosurgeon.
And I'm here today to answer your questions
from the internet.
This is Brain-Computer Interface Support.
[upbeat music]
WinnieCherian asks,
How does brain-computer interface technology work?
Brain-computer interface technology uses the fact
that the brain communicates with itself
and with the outside world using electrical signals.
And so brain-computer interfaces are implants
that use tiny little electrodes that touch the brain
and transform the electrical signals from the brain
into ways of interacting with computers
and external devices.
That translation of electrical signals
into useful means of communication with the outside world
takes place using machine learning algorithms
that transform the digitized bitstreams
from brain electrical data
into means of communication with computers, smart devices,
and in some cases, robotics.
Inskigator asks, Could somebody, anybody,
explain to me why a human being would even want
a brain-computer interface implanted in him/her?
I only ask 'cause it's happened.
Well, I think it's important to understand
that one of the early uses
of brain-computer interface technology
is especially for people with disorders of the brain
and nervous system,
and I'm talking about people
with spinal cord injury, stroke,
and some forms of neurodegenerative disease such as ALS,
conditions that paralyze people
and leave people with totally functioning mind,
unable to interact with the world
in the ways that many of us take for granted.
The first generation of brain-computer interface technology
is really geared towards enabling people
with those kinds of conditions
to interact with other people, with the outside world,
return to work and have a sense of dignity, independence
that many of us take for granted.
Guavault asks, Can you move a cursor in your mind
or draw using a cursor?
That's how BCIs for blind people work right now.
Everything needs to be drawn, AKA sequential,
instead of all at once.
Let me try to unpack this question.
How do you move a cursor with your mind?
Or how do people with brain-computer interfaces
learn to move a cursor using their mind?
For each person who's had this experience,
it's a little bit different.
At the beginning, we usually provide an instruction,
think about moving a joystick
or think about moving your hand
or think about moving your arm.
At first it's very laborious
and eventually the brain just connects to the cursor.
Like you learn to use a tool, a pencil, a baseball bat,
or riding a bicycle,
so that the brain-computer interface
is a tool like any other.
And we're still really learning what that experience is like
and how the brain accomplishes it.
But that is the subjective experience
that people who've used this technology explain,
that it sort of clicks at some point
and it starts to feel like magic.
You know, when we interact with the real world,
we don't realize it, but there's actually a delay
between what our brain thinks and tells the body to do
and when the body does it.
I.n a brain-computer interface
where the interaction takes place
directly between the brain and electrode,
we can bring that latency down to individual milliseconds.
That's why people feel like the experience
is almost like the interface is predicting their thought.
There's another question that's packed in here.
Can brain-computer interfaces
manifest a fully formed thought?
That gets to the question
of how we subjectively feel like we're thinking.
Very often we imagine something or we have a feeling
or a picture or a concept in our brains,
and we don't right now have a way of expressing
that fully formed thought
other than through drawing a picture
or speaking in paragraph form.
But we do have this subjective sense
that thoughts exist in a fully formed way.
And there's this question that I think Guavault is asking,
which is, will brain-computer interfaces allow us
to transmit thoughts in that fully formed way?
I have a feeling that the technology will allow us
to travel in that direction
probably even faster than we can imagine,
even if we can't say exactly how right now.
Pesh909x asks, Will BCIs ever be able
to record our dreams and psychedelic trips to video?
And the answer is yes.
Brain-computer interfaces already
can see activity in the visual cortex,
which is the part of the brain
that processes visual information.
And there has been some work showing that actually
some of that information can be decoded
to recreate the visual scene.
There is some evidence that that kind of visual replay
happens during our dreams,
and so it may be possible in the future
just as some of these studies have begun to show
that brain-computer interfaces can record, replay,
process the information that occurs
during imagined visual activity and dreams.
Stephen_Roto asks, The first human patient
with a brain-computer implant
used the technology to successfully play Mario Kart?
If that isn't the definition of a '90s kid,
I don't know what is.
It is true that the first Neuralink patient
used his implant to play Mario Kart
and seems to have had a great time doing it.
That wasn't the first human patient
with a brain-computer implant,
but he did use it to play Mario Kart.
And I think that points to the fact
that people are gonna use brain-computer interfaces
to do all the sorts of things that we take for granted
and know and love can be done in the digital world.
Fashion Savage asks, Will BCI lead to security issues
of hacking or reprogramming people's brains?
This is a really important question.
It's one that many people have asked,
which is, given the sensitivity of neural information,
will BCI technology lead to issues involving hacking
or compromising the security of people's private thoughts?
Certainly in the first generation
of brain-computer interfaces,
we're really interacting
with the parts of the conscious brain
that move the body and move the hands, move the arms,
move the face and the muscles that control speech.
And these are not really areas of the brain
that we consider private thought activity,
and furthermore, patients, when you ask them,
would you be concerned about a privacy issue,
in this context, many of the people
who stand to benefit from this technology
would trade a little bit of privacy
for the ability to interact smoothly with the outside world,
but that doesn't minimize the possibility
of real security and privacy issues
when neural data is being transmitted wirelessly
outside of the body.
So we and others involved in the industry
have taken real care to try to encrypt
and secure any neural data streams that leave the body.
RealEditor6 asks, I was wondering
if ever a human brain merged with an LLM
via a brain-computer interface,
what would the AI experience?
What would that person experience?
Is anyone connected already?
The answer is a qualified yes
because people with brain-computer interfaces
now certainly have the ability
using the same means that we do
of textually querying an LLM.
And so that interaction is definitely happening.
I haven't asked the AI what the AI's experience is,
but certainly we can do that.
I look forward to that question.
What would that person experience
I think is actually very similar
in the current form of the technology
to what you and I experience when we query the AI.
Those interactions right now are textual in nature.
The AI's output is not fed back
directly into the user's brain just yet.
So the BCI users have an experience
that's similar to what every other user of an LLM has.
But I get the question is asking towards a future state
in which there's a more symbiotic meld
between artificial intelligence and humans
through brain-computer interfaces.
And I think this is the direction of travel,
and it's hard to predict exactly what it's gonna look like.
James Rosen-Birch asks,
What part of the brain is the BCI interfacing with?
Many brain-computer interfaces to date
spend a lot of time in and around the motor cortex,
which is this area of the brain.
This is the hand motor area, this is the leg motor area,
this is the face motor area involved in speech.
Those motor areas are really important
for current-generation brain-computer interfaces
because they perform the computations in the brain
that allow us to interact with the world physically.
When we think about things like typing or moving our hands
or walking or speaking,
those are the parts of the brain
that serve those functions most directly.
But there certainly are future directions
of brain-computer interface technology.
We can think about connecting to
and interfacing with other areas of the brain
and other areas of the nervous system,
so areas that control sensation, decision-making, memory,
even parts of the brain stem and spinal cord
that are involved in other types of neurological disease.
Our friends at g.tec medical engineering,
How many electrodes are needed
to run the brain-computer interface?
The answer to that is in the hundreds or thousands,
and that just gets us off the ground.
I think it's hard to say
what the upper limit is to functionality.
So many of us are familiar in the world of communication
that basically the higher the speed of your connection,
the more sophisticated the applications you can run,
or in the world of images,
the more pixels or megapixels you have in your display,
the higher fidelity the graphics you can render.
And the same is true in brain-computer interfaces.
The more detailed and the higher resolution
the picture of brain activity you can generate,
the more smooth and sophisticated
the real-time interaction you can have with the brain.
Right now we're seeing that brain-computer interfaces
with around a thousand electrodes get us off the ground
to incredibly high levels of functionality
that include things like controlling a cursor,
performing the sorts of tasks that we take for granted
in everyday interactions with computers,
but we can see a path towards many thousands of electrodes
and even orders of magnitude higher
in which smooth, intuitive connections between the brain
and the outside world will be even higher performance.
Ok-Hunter-8210 asks,
Considering recent developments
in brain-computer interfaces,
I'd love to hear from experts or enthusiasts
about potential applications
in assisting individuals with severe paralysis or ALS.
Have we made sufficient strides
toward leveraging BCI technology
for rehabilitation purposes?
Yes.
Severe paralysis and ALS are really the first conditions
that have received a tremendous amount of attention
for brain-computer interface technology.
There's quite a few examples of patients in clinical studies
who have had tremendous benefit from their implants
quite apart from being part of the clinical studies,
and it's exactly these individuals
with severe paralysis from spinal cord injury,
certain forms of stroke and ALS
will be among the first to benefit from the technology.
A Reddit user in the singularity thread asks,
Is there a concrete pathway
to non-invasive BCI technology?
Mostly no in the way that we think of,
but also yes to the implied question of,
is there a use for non-invasive neural interfaces?
So when I think about brain-computer interfaces,
I think about systems that are being used
to drive real-time interactions
between the brain and the outside world.
And that kind of high-bandwidth,
sophisticated, smooth, high-speed interactions
between the brain and the outside world
that really happen at the speed of thought,
that requires implanted technology.
There's no way that we know of around the need
to actually be touching the brain in some way
to get that kind of high-bandwidth, high-speed interaction.
Non-invasive techniques and technologies
have captured scientists' and neuroscientists' imagination
for a long time,
and there definitely is a use for non-invasive technologies.
They can detect brain state,
they can manipulate brain state,
and they can be used to treat certain forms of disease,
but not to manipulate at high fidelity
and high resolution in real time.
@HowardG69263 asks,
Brain-computer interfaces sound cool,
but kind of scary too.
Like, what if it malfunctions or something?
So many important technologies
have these sorts of questions attached to them,
whether it's cars or airplanes
or gene sequencing or artificial intelligence.
There's always this question of,
it's magical when it works well
and what if it doesn't work well or what if it malfunctions?
It is important,
as in the development of all kinds of technology,
to have ways of fixing things when they go wrong.
You know, Murphy's law is real.
Anything that can go wrong will happen in some way,
and so we need to try to anticipate failure modes
and plan for how to fix them.
We've developed electrodes that interact with the brain
in a way that doesn't damage the brain,
and so these electrodes can be moved, removed, replaced,
and upgraded as necessary in the future,
and other components of the system
can be modularly changed out over time.
For example, the battery or the wireless
or certain forms of tunneled connectors
that are implanted under the skin.
So understanding the way things obsolesce or change
or may need to be switched out in the future is important
to ensuring that we can safely repair a device
and plan for all eventualities.
QueenGwenevere asks,
Imagine what happens when an implant becomes obsolete,
is no longer supported,
and becomes increasingly vulnerable to hacking
the longer it remains installed,
and you can't uninstall it without surgery.
Like, imagine if you had the equivalent
of Flash implanted in your brain.
This is actually a really deep question,
and it gets to the notion that all technologies have a cycle
and you wanna be able to plan for upgrades
and plan against obsolescence.
At Precision, one of the ways
that we've thought about this question of obsolescence
and the potential need for replacement
is to develop an electrotechnology
that's based on thin films.
This is the Precision electrode array.
If I turn it on its side in this way,
you can see it's incredibly thin.
This film coats the brain's surface with electrodes
rather than penetrating the brain.
The idea is that those electrodes
could be removed or upgraded over time
and that other components of the implant
also can be removed or swapped out.
This notion that something
can't be uninstalled without surgery is an important notion,
but I would also just point out that surgery itself
is not necessarily such a huge barrier.
Actually, almost everyone over the course
of their life in the United States will have a surgery,
if not more than one surgery.
So really it's a question of making sure
that it can be done in a safe manner
rather than the concept of a surgery itself.
Dckill97 asks, Why can brain-computer interface technology
only read from the brain and not write to it?
The short answer is that brain-computer interface technology
can both read from and write to the brain.
Reading really means
recording neural activity and decoding it,
recording the electoral signals
that the brain uses to communicate
and transforming those into command and control signals
and ways of interaction with digital technology, computers,
and the outside world.
So that's really a translation problem.
The other side of the coin
is what people sometimes call writing into the brain,
and that really means stimulating the brain in some way.
In the context
of current-generation brain-computer interfaces,
that stimulation takes place
using electrical pulses, electrical stimulation.
Those kinds of stimulation have been used
to restore a sense of sensation, touch, vision,
and also to stimulate the brain in other ways.
Most of current generation
brain-computer interface technology
really is focused on the read and decode side of things.
Reading and writing or recording and stimulating
are actually quite different problems.
You can't just sort of reverse the decoding into an encoder
that writes information into the brain.
It's not that simple.
The field of genomics is one good example of this
in which the early 2000s saw an explosion
in our ability to record
or read and decode the human genome,
and it wasn't until years later really using almost
a completely different form of technology,
things like CRISPR for gene editing,
that allowed gene modification
in a scalable and programmatic way.
Ulteriorkid324 asks,
How do you get a brain chip into the brain?
Is the surgery long?
The surgery is a relatively short surgery.
General anesthesia will not always be required.
It involves making a small incision in the scalp
and an incision in the bone,
but not necessarily removing a significant amount of bone.
It will be an incision right about here.
The electrode array itself, you can see it's very thin
and it gets slipped through an incision in the bone
onto the surface of the brain.
Right now, that whole process takes about an hour or two.
In the future, it probably will be a little bit quicker.
We foresee a future in which this can be done
as a same-day surgery,
much as a lot of surgery across the country is done.
PiyushKThisSide asks, Think of a future
where thoughts and feelings can be completely shared
through a brain-computer interface,
surpassing the current limits of language.
Will such a future be better or worse?
I think we will eventually get to that future
and I think it will be a better future.
I don't exactly know how we'll get there,
and I'm sure there'll be trade-offs,
but just like many forms of technology
where you can't exactly predict what's gonna happen,
I think that's the case with brain-computer interfaces.
Olydriver asks, Is anybody using AI
to create a better brain-computer interface?
Definitely, yes.
Actually, all brain-computer interfaces today
use forms of artificial intelligence
as a core part of how the interface works.
It's important to understand that basically
the problem of translating neural data
into actions and interactions with digital technology,
that is a translation problem.
And that translation between neural code and digital code
requires artificial intelligence and machine learning.
But there's so many other applications
of how artificial intelligence is involved in BCI.
It's an extremely important and exciting area.
Chrome_Plated asks, How can I get involved
in brain-computer interfaces and neurotechnology?
There are a number of ways to get involved,
but especially if you're a talented engineer,
especially if you're a software engineer
or have experience in modern machine learning techniques,
I would invite you to apply to work
with any of the companies
that are working in the space today.
Many of them are hiring.
All right, that's it. That's all the questions.
Hope you learned something. Until next time.
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