background top icon
background center wave icon
background filled rhombus icon
background two lines icon
background stroke rhombus icon

Download "Dr. Erich Jarvis: The Neuroscience of Speech, Language & Music | Huberman Lab Podcast #87"

input logo icon
"videoThumbnail Dr. Erich Jarvis: The Neuroscience of Speech, Language & Music | Huberman Lab Podcast #87
Table of contents
|

Table of contents

0:00
Dr. Erich Jarvis & Vocal Communication
3:43
Momentous Supplements
4:36
InsideTracker, ROKA, LMNT
8:01
Speech vs. Language, Is There a Difference?
10:55
Animal Communication, Hand Gestures & Language
15:25
Vocalization & Innate Language, Evolution of Modern Language
21:10
Humans & Songbirds, Critical Periods, Genetics, Speech Disorders
27:11
Innate Predisposition to Learn Language, Cultural Hybridization
31:34
Genes for Speech & Language
35:49
Learning New or Multiple Languages, Critical Periods, Phonemes
41:39
AG1 (Athletic Greens)
42:52
Semantic vs. Effective Communication, Emotion, Singing
47:32
Singing, Link Between Dancing & Vocal Learning
52:55
Motor Theory of Vocal Learning, Dance
55:03
Music & Dance, Emotional Bonding, Genetic Predispositions
1:04:11
Facial Expressions & Language, Innate Expressions
1:09:35
Reading & Writing
1:15:13
Writing by Hand vs. Typing, Thoughts & Writing
1:20:58
Stutter, Neurogenetics, Overcome Stutter, Conversations
1:26:58
Modern Language Evolution: Texting, Social Media & the Future
1:36:26
Movement: The Link to Cognitive Growth
1:40:21
Comparative Genomics, Earth Biogenome Project, Genome Ark, Conservation
1:48:24
Evolution of Skin & Fur Color
1:51:22
Dr. Erich Jarvis, Zero-Cost Support, YouTube Feedback, Spotify & Apple Reviews, Momentous Supplements, AG1 (Athletic Greens), Instagram, Twitter, Neural Network Newsletter, Huberman Lab Clips
Video tags
|

Video tags

andrew huberman
huberman lab podcast
huberman podcast
dr. andrew huberman
neuroscience
huberman lab
andrew huberman podcast
the huberman lab podcast
science podcast
Erich Jarvis
science of speech
science of language
science of music
science of movement
Rockefeller University professor
hubermanlab
Subtitles
|

Subtitles

subtitles menu arrow
  • ruRussian
Download
00:00:00
- Welcome to the Huberman Lab Podcast,
00:00:02
where we discuss science and science-based tools
00:00:04
for everyday life.
00:00:05
[lively music]
00:00:09
I'm Andrew Huberman,
00:00:10
and I'm a professor of neurobiology and ophthalmology
00:00:13
at Stanford School of Medicine.
00:00:15
Today, my guest is Dr. Erich Jarvis.
00:00:17
Dr. Jarvis is a professor at the Rockefeller University
00:00:20
in New York City
00:00:21
and his laboratory studies,
00:00:23
the neurobiology of vocal learning, language,
00:00:26
speech disorders,
00:00:28
and remarkably, the relationship between language,
00:00:30
music and movement, in particular dance.
00:00:34
His work spans from genomics,
00:00:37
so the very genes that make up our genome
00:00:40
and the genomes of other species
00:00:42
that speak and have language
00:00:44
such as songbirds and parrots
00:00:46
all the way up to neural circuits,
00:00:48
that is the connections in the brain and body
00:00:50
that govern our ability to learn
00:00:52
and generate specific sounds
00:00:54
and movements coordinated with those sounds,
00:00:56
including hand movements
00:00:58
and all the way up to cognition,
00:01:01
that is our ability to think in specific ways,
00:01:04
based on what we are saying
00:01:05
and the way that we comprehend
00:01:07
what other people are saying, singing and doing.
00:01:10
As you'll soon see,
00:01:12
I was immediately transfixed
00:01:14
and absolutely enchanted by Dr. Jarvis's description
00:01:18
of his work and the ways that it impacts
00:01:20
all the various aspects of our lives.
00:01:22
For instance, I learned from Dr. Jarvis that as we read,
00:01:26
we are generating very low-levels
00:01:28
of motor activity in our throat.
00:01:30
That is, we are speaking the words that we are reading
00:01:34
at a level below the perception of sound
00:01:36
or our own perception of those words.
00:01:39
But if one were to put an amplifier
00:01:40
or to measure the firing of those muscles
00:01:43
in our vocal chords,
00:01:45
we'd find that as we're reading information,
00:01:47
we are actually speaking that information.
00:01:49
And as I learned, and you'll soon learn,
00:01:51
there's a direct link between those species
00:01:54
in the world that have song and movement,
00:01:57
which many of us would associate with dance
00:01:59
and our ability to learn and generate complex language.
00:02:03
So for people with speech disorders like stutter,
00:02:06
or for people who are interested
00:02:07
in multiple language learning,
00:02:09
bilingual, trilingual, et cetera,
00:02:11
and frankly for anyone who is interested
00:02:14
in how we communicate through words, written or spoken,
00:02:18
I'm certain today's episode is going to be
00:02:19
an especially interesting and important one for you.
00:02:22
Dr. Jarvis's work is so pioneering
00:02:24
that he has been awarded truly countless awards.
00:02:27
I'm not going to take our time to list off
00:02:29
all the various important awards that he's received,
00:02:32
but I should point out
00:02:33
that in addition to being a decorated professor
00:02:35
at the Rockefeller University,
00:02:37
he is also an investigator
00:02:38
with the Howard Hughes Medical Institute,
00:02:40
the so-called HHMI.
00:02:42
And for those of you that don't know,
00:02:43
HHMI investigators are selected
00:02:46
on an extremely competitive basis
00:02:49
that they have to re-up,
00:02:50
that is they have to recompete every five years.
00:02:53
They actually receive a grade every five years
00:02:56
that dictates whether or not they are no longer
00:02:58
a Howard Hughes investigator
00:02:59
or whether or not they can advance to another five years
00:03:03
of funding for their important research.
00:03:05
And indeed, Howard Hughes investigators
00:03:06
are selected not just for the rigor of their work,
00:03:09
but for their pioneering spirit
00:03:11
and their ability to take on high-risk, high-benefit work,
00:03:15
which is exactly the kind of work
00:03:16
that Dr. Jarvis has been providing for decades now.
00:03:20
Again, I think today's episode is one of the more unique
00:03:22
and special episodes that we've had
00:03:24
on the Huberman Lab Podcast.
00:03:25
I single it out because it really spans
00:03:27
from the basic to the applied
00:03:29
and Dr. Jarvis's story is an especially unique one
00:03:32
in terms of how he arrived at becoming a neurobiologist.
00:03:35
So for those of you that are interested
00:03:36
in personal journey and personal story,
00:03:38
Dr. Jarvis's is truly a special and important one.
00:03:42
I'm pleased to announce that the Huberman Lab Podcast
00:03:44
is now partnered with Momentous supplements.
00:03:46
We partnered with Momentous for several important reasons.
00:03:49
First of all, they ship internationally
00:03:50
because we know that many of you
00:03:52
are located outside of the United States.
00:03:54
Second of all, and perhaps most important,
00:03:56
the quality of their supplements is second to none,
00:03:58
both in terms of purity and precision
00:04:00
of the amounts of the ingredients.
00:04:02
Third, we've really emphasized supplements
00:04:05
that are single ingredient supplements,
00:04:07
and that are supplied in dosages that allow you
00:04:10
to build a supplementation protocol
00:04:12
that's optimized for cost,
00:04:14
that's optimized for effectiveness,
00:04:15
and that you can add things and remove things
00:04:18
from your protocol in a way
00:04:19
that's really systematic and scientific.
00:04:21
If you'd like to see the supplements
00:04:22
that we partner with Momentous on,
00:04:23
you can go to livemomentous.com/huberman.
00:04:26
There, you'll see those supplements.
00:04:27
And just keep in mind
00:04:29
that we are constantly expanding
00:04:30
the library of supplements available through Momentous
00:04:33
on a regular basis.
00:04:34
Again, that's livemomentous.com/huberman.
00:04:36
Before we begin, I'd like to emphasize that this podcast
00:04:39
is separate from my teaching and research roles at Stanford.
00:04:41
It is however, part of my desire and effort
00:04:43
to bring zero cost to consumer information about science
00:04:46
and science-related tools to the general public.
00:04:48
In keeping with that theme,
00:04:49
I'd like to thank the sponsors of today's podcast.
00:04:52
Our first sponsor is InsideTracker.
00:04:54
InsideTracker is a personalized nutrition platform
00:04:56
that analyzes data from your blood and DNA
00:04:59
to help you better meet your immediate
00:05:00
and long-term health goals.
00:05:02
I've long been a believer in getting regular blood work done
00:05:05
for the simple reason that many of the factors
00:05:07
that impact your immediate and long-term health
00:05:09
can only be analyzed from a quality blood test.
00:05:12
And nowadays with the advent of modern DNA test,
00:05:14
you can also get insight into, for example,
00:05:16
what your biological age is
00:05:17
and compare that to your chronological age.
00:05:19
The problem with a lot of DNA tests
00:05:21
and blood tests, however,
00:05:22
is you get information back about metabolic factors, lipids,
00:05:26
and hormones, and so forth,
00:05:27
but you don't know what to do
00:05:28
with or about that information.
00:05:30
InsideTracker solves that problem with a simple platform
00:05:33
that allows you to click on any specific factor,
00:05:36
learn more about it and what it does in your brain and body,
00:05:38
and also the various nutritional supplementation
00:05:41
and other types of interventions you can take
00:05:43
to bring the levels of that factor
00:05:45
into the ranges that are optimal for you and your health.
00:05:49
If you'd like to try InsideTracker,
00:05:50
you can go to insidetracker.com/huberman
00:05:53
to get 20% off any of InsideTracker's plans.
00:05:55
That's insidetracker.com/huberman to get 20% off.
00:05:59
Today's episode is also brought to us by ROKA.
00:06:02
ROKA makes eyeglasses and sunglasses
00:06:04
that are of the absolute highest quality.
00:06:05
They also have some really unique features
00:06:07
that make them especially attractive
00:06:10
from the standpoint of aesthetics and performance.
00:06:13
The company was founded by two
00:06:14
all-American swimmers from Stanford
00:06:15
and everything about their eyeglasses and sunglasses
00:06:17
were designed with performance in mind.
00:06:19
Initially, the eyeglasses and sunglasses
00:06:21
were designed for sport,
00:06:22
that is for running and for cycling, et cetera.
00:06:24
And indeed, still their eyeglasses
00:06:26
and sunglasses are very lightweight
00:06:28
and they won't slip off your face if you get sweaty,
00:06:30
but they also have a terrific aesthetic.
00:06:32
You can wear them to work.
00:06:33
You can wear them out to eat.
00:06:34
I wear readers at night when I work, or if I drive
00:06:37
and I wear sunglasses sometimes
00:06:39
during the middle of the day,
00:06:40
if it's too bright and I need sunglasses in order to see.
00:06:43
If you'd like to try ROKA eyeglasses, or sunglasses,
00:06:45
you can go to ROKA, that's ROKA.com
00:06:48
and enter the code huberman
00:06:49
to save 20% off your first order.
00:06:51
Again, that's ROKA.com
00:06:53
and enter the code huberman at checkout.
00:06:55
Today's episode is also brought to us by LMNT.
00:06:58
LMNT is an electrolyte drink
00:06:59
that has everything you need and nothing you don't,
00:07:02
meaning no sugar, but plenty of the correct ratios
00:07:07
of sodium, magnesium and potassium,
00:07:09
and those three electrolytes,
00:07:11
sodium, magnesium, and potassium
00:07:12
are critical for your neuron, your nerve cell function,
00:07:15
and for the function of all the cells
00:07:16
in your brain and body.
00:07:18
I've mentioned this before on the podcast,
00:07:20
but I'm a fan of salt,
00:07:22
not taking too much salt,
00:07:23
but certainly not getting too little salt.
00:07:26
LMNT has 1000 milligrams, that is one gram of salt,
00:07:29
which might sound like a lot of salt.
00:07:30
But for many people,
00:07:31
especially people who are following low carbohydrate diets,
00:07:34
or who are exercising or sweating a lot, or both,
00:07:37
that level of salt can actually help you
00:07:39
in many circumstances.
00:07:41
Getting the appropriate level of salt,
00:07:42
and certainly the appropriate levels of electrolytes
00:07:44
will improve your cognitive function
00:07:45
and will improve your physical performance.
00:07:48
If you'd like to try LMNT
00:07:49
you can go to drinklmnt, that's lmnt.com/huberman,
00:07:53
and you'll get a free sample pack with your order.
00:07:55
That's drinklmnt.com/huberman.
00:07:58
And now, for my discussion with Dr. Erich Jarvis.
00:08:02
Erich, it's so great to have you here.
00:08:04
- Thank you. - Yeah.
00:08:05
Very interested in learning from you
00:08:07
about speech and language.
00:08:09
And even as I ask the question,
00:08:12
I realize that a lot of people, including myself,
00:08:14
probably don't fully appreciate the distinction
00:08:17
between speech and language, right?
00:08:19
Speech, I think of as the motor patterns,
00:08:21
the production of sound
00:08:23
that has meaning, hopefully.
00:08:25
And language, of course, comes in various languages
00:08:29
and varieties of ways of communicating.
00:08:31
But in terms of the study of speech and language,
00:08:34
and thinking about how the brain
00:08:36
organizes speech and language,
00:08:38
what are the similarities?
00:08:40
What are the differences?
00:08:41
How should we think about speech and language?
00:08:43
- Yeah, well, I'm glad you, you know, inviting me here.
00:08:46
And I'm also glad to get that first question,
00:08:50
which I consider a provocative one.
00:08:52
The reason why, I've been struggling,
00:08:55
what is the difference with speech and language
00:08:57
for many years.
00:08:58
And realize, why am I struggling,
00:09:00
is because there are behavioral terms,
00:09:03
let's call 'em psychologically,
00:09:04
psychology developed kind of terms
00:09:07
that don't actually align exactly with brain function.
00:09:12
All right.
00:09:13
And the question is there a distinction
00:09:14
between speech and language?
00:09:15
And when I look at the brain
00:09:17
of work that other people have done, work we have done,
00:09:20
also compared it with animal models,
00:09:21
like those who can imitate sounds
00:09:23
like parrots and songbirds.
00:09:25
I start to see there really isn't such a sharp distinction.
00:09:30
So, to get at what I think is going on,
00:09:32
let me tell you how some people think of it now.
00:09:35
That there's a separate language module in the brain
00:09:39
that has all the algorithms and computations
00:09:42
that influence the speech pathway
00:09:44
on how to produce sound
00:09:46
and the auditory pathway on how to perceive
00:09:49
and interpret it for speech
00:09:51
or for, you know, sound that we call speech.
00:09:55
And it turns out,
00:09:58
I don't think there is any good evidence
00:10:00
for a separate language module.
00:10:02
Instead, there is a speech production pathway
00:10:07
that's controlling our larynx,
00:10:08
controlling our jaw muscles
00:10:10
that has built within it
00:10:12
all the complex algorithms for spoken language.
00:10:16
And there's the auditory pathway
00:10:18
that has built within it,
00:10:19
all the complex algorithms for understanding speech,
00:10:22
not separate from a language module.
00:10:25
And this speech production pathway
00:10:27
is specialized to humans
00:10:30
and parrots and songbirds,
00:10:32
whereas this auditory perception pathway
00:10:35
is more ubiquitous amongst the animal kingdom.
00:10:38
And this is why dogs can understand,
00:10:39
"sit", "sientese", "come here, boy",
00:10:43
"get the ball" and so forth.
00:10:44
Dogs can understand several hundred human speech words.
00:10:48
Great apes, you can teach them for several thousand,
00:10:51
but they can't say a word.
00:10:53
- Fascinating.
00:10:55
Because you've raised a number of animal species
00:10:58
early on here and because I have a,
00:11:00
basically an obsession with animals
00:11:02
since the time I was very small,
00:11:03
I have to ask, which animals have language?
00:11:08
Which animals have modes of communication
00:11:11
that are sort of like language.
00:11:14
- [Erich] Yeah.
00:11:15
- You know, I've heard whale songs.
00:11:16
I don't know what they're saying.
00:11:17
They sound very beautiful,
00:11:18
but they could be insulting each other for all I know.
00:11:21
- [Erich] Yeah. - And they very well may be.
00:11:24
Dolphins, birds, I mean,
00:11:27
what do we understand about modes of communication
00:11:30
that are like language,
00:11:32
but might not be what would classically be called language?
00:11:36
- Yes, right.
00:11:37
So, modes of communication
00:11:40
that people would define as language,
00:11:43
more, very, in a very narrow definition,
00:11:46
they would say, production of sound, so speech.
00:11:49
But what about the hands, the gesturing with the hands?
00:11:52
What about a bird who is doing aerial displays in the air,
00:11:56
communicating information through body language, right.
00:12:00
Well, I'm going to go back to the brain.
00:12:03
So what I think is going on
00:12:06
is for spoken language,
00:12:08
we're using the speech pathway
00:12:10
and all the complex algorithms there.
00:12:13
Next to the brain regions
00:12:14
that are controlling spoken language
00:12:16
are the brain regions for gesturing with the hands.
00:12:19
And that hand parallel pathway
00:12:22
has also complex algorithms that we can utilize.
00:12:25
And some species are more advanced in these circuits,
00:12:28
whether it's sound or gesturing with hands
00:12:31
and some are less advanced.
00:12:33
Now, we, humans and a few others
00:12:35
are the most advanced for the speech sounds
00:12:39
or the spoken language,
00:12:41
but a non-human primate can produce gesturing
00:12:45
in a more advanced form than they could produce sound.
00:12:49
I'm not sure I got that across clearly,
00:12:51
just to say that humans are the most advanced
00:12:54
at spoken language,
00:12:56
but not necessarily as big a difference at gestural language
00:13:01
compared to some of the species.
00:13:03
- Very clear and very interesting.
00:13:05
And immediately prompts the question,
00:13:08
have there been brain imaging
00:13:09
or other sorts of studies evaluating neural activity
00:13:14
in the context of, you know, cultures and languages,
00:13:18
at least that I associate with a lot of hand movement,
00:13:20
like Italian. - Yep.
00:13:21
- Versus, I don't know,
00:13:23
maybe you could give us some examples of cultures
00:13:25
where language is not associated with
00:13:27
as much overt hand movement.
00:13:29
- Yes, so as you and I are talking here today
00:13:32
and people who are listening, but can't see us,
00:13:35
we're actually gesturing with our hands as we talk
00:13:39
without knowing it or doing it unconsciously.
00:13:42
And if we were talking on a telephone,
00:13:45
I would have one hand here
00:13:46
and I'd be gesturing with the other hand.
00:13:47
[Andrew laughs]
00:13:48
Without even you seeing me, right?
00:13:50
And so why is that?
00:13:52
Some have argued and I would agree,
00:13:54
but based upon what we've seen
00:13:56
is that there's an evolutionary relationship
00:13:58
between the brain pathways
00:14:00
that control speech production and gesturing.
00:14:04
And the brain regions I mentioned
00:14:05
are directly adjacent to each other.
00:14:07
And why is that?
00:14:08
I think that the brain pathways that control speech
00:14:11
evolved out of the brain pathways that control body movement.
00:14:15
All right.
00:14:16
And that
00:14:19
when you talk about Italian, French,
00:14:22
English, and so forth,
00:14:24
each one of those languages
00:14:25
come with a learned set of gestures
00:14:29
that you can communicate with.
00:14:31
Now, how is that related to other animals?
00:14:33
Well, Cocoa, a gorilla who is raised
00:14:35
with humans for 39 years or more,
00:14:39
learned how to do gesture communication,
00:14:42
learned how to sign language, so to speak, right?
00:14:45
But Cocoa couldn't produce those sounds.
00:14:48
Cocoa could understand them as well
00:14:51
by seeing somebody sign
00:14:53
or hearing somebody produce speech,
00:14:56
but Cocoa couldn't produce it with her voice.
00:14:58
And so, what's going on there is that
00:15:02
a number of species, not all of them,
00:15:04
a number of species have motor pathways in the brain
00:15:07
where you can do learn gesturing,
00:15:09
rudimentary language, if you wanted, say with your limbs,
00:15:12
even if it's not as advanced as humans.
00:15:14
But they don't have this extra brain pathway for the sound.
00:15:18
So they can't gesture with their voice
00:15:21
in the way that they gesture with their hands.
00:15:23
- I see.
00:15:24
One thing that I've wondered about for a very long time
00:15:27
is whether or not
00:15:29
primitive emotions and primitive sounds
00:15:34
are the early substrate of language.
00:15:37
And whether or not there's a bridge
00:15:39
that we can draw between those
00:15:40
in terms of just the basic respiration systems
00:15:44
associated with different extreme feelings.
00:15:47
Here's the way I'm imagining this might work.
00:15:50
When I smell something delicious,
00:15:53
I typically inhale more. - Hmm hmm.
00:15:57
- And I might say, mmm, or something like that.
00:16:00
Whereas if I smell something putrid,
00:16:02
I typically turn away, and I wince
00:16:04
and I will exhale [exhales],
00:16:06
you know or sort of kind of like turn away,
00:16:07
trying to not ingest those molecules
00:16:10
or inhale those molecules.
00:16:11
I could imagine that these
00:16:13
are the basic dark and light contrasts
00:16:17
of the language system.
00:16:18
And as I say that,
00:16:19
I'm saying that from the orientation of a vision scientist
00:16:23
who thinks of all visual images built up
00:16:26
in a very basic way of a hierarchical map model
00:16:29
of the ability to see dark and light.
00:16:31
So I could imagine this kind of primitive
00:16:33
to more sophisticated pyramid
00:16:37
of sound to language.
00:16:40
Is this a crazy idea?
00:16:41
Do we have any evidence this is the way it works?
00:16:45
- No, it's not a crazy idea.
00:16:47
And in fact, you hit upon one of the key distinctions
00:16:51
in the field of research that I started out in,
00:16:54
which is vocal learning research.
00:16:56
So for vocal communication,
00:17:00
you have most vertebrate species vocalize,
00:17:03
but most of them are producing innate sounds
00:17:06
that they're born with producing,
00:17:10
that is babies crying, for example,
00:17:13
or dogs barking.
00:17:15
And only a few species have learned vocal communication,
00:17:18
the ability to imitate sounds.
00:17:20
And that is what makes spoken language special.
00:17:23
When people think of what's special about language,
00:17:26
it's the learned vocalizations.
00:17:29
That is what's rare.
00:17:31
And so, this distinction between innateness and learned
00:17:36
is more of a bigger dichotomy
00:17:38
when it comes to vocalizations
00:17:39
than for other behaviors in the animal kingdom.
00:17:42
And when you go in the brain,
00:17:45
you see it there as well.
00:17:47
And so all the things you talked about,
00:17:49
the breathing, the grunting and so forth,
00:17:51
a lot of that is handled by the brain stem circuits,
00:17:55
you know, right around the level of your neck and below.
00:17:58
Like a reflex kind of thing.
00:18:00
So, or even some emotional aspects of your behavior
00:18:04
in the hypothalamus and so forth.
00:18:06
But for a learned behavior,
00:18:08
learning how to speak,
00:18:10
learning how to play the piano,
00:18:12
teaching a dog to learn how to do tricks
00:18:15
is using the forebrain circuits.
00:18:18
And what has happened is
00:18:20
that there's a lot of forebrain circuits
00:18:21
that are controlling,
00:18:22
learning how to move body parts in these species,
00:18:24
but not for the vocalizations.
00:18:26
But in humans and in parrots and in some other species,
00:18:29
somehow, we acquired circuits
00:18:32
where the forebrain has taken over the brain stem
00:18:36
and now using that brain stem,
00:18:38
not only to produce the innate behaviors or vocal behaviors,
00:18:41
but the learned ones as well.
00:18:43
- Do we have any sense
00:18:44
of when modern or sophisticated language evolved?
00:18:50
You know, thinking back to the species that we evolved from,
00:18:54
and even within Homo sapiens,
00:18:58
has there been an evolution of language?
00:18:59
Has there been a devolution of language? [laughs]
00:19:02
- Yeah.
00:19:03
Yeah, I would say,
00:19:06
and to be able to answer that question,
00:19:08
it does come with the caveat
00:19:10
that I think we humans overrate ourselves
00:19:13
compared to other species.
00:19:15
And so it makes even scientists go astray
00:19:20
in trying to hypothesize
00:19:21
when, you especially don't find fossil evidence
00:19:23
of language that easily
00:19:26
out there in terms of what happened in the past.
00:19:33
Amongst the primates, which we humans belong to,
00:19:35
we are the only ones that
00:19:36
have this advanced vocal learning ability.
00:19:41
Now, it was assumed that it was only Homo sapiens,
00:19:46
then you can go back in time now
00:19:48
based upon genomic data,
00:19:51
not only of us living humans,
00:19:52
but of the fossils that have been found
00:19:54
for Homo sapiens, of Neanderthals, of Denisovan individuals
00:20:00
and discover that our ancestor, our human ancestors,
00:20:05
supposedly hybridized with these other hominid species.
00:20:10
And it was assumed that these other hominid species
00:20:13
don't learn how to imitate sounds.
00:20:16
I don't know of any species today
00:20:18
that's a vocal learner that can have children
00:20:21
with a non-vocal learning species.
00:20:23
I don't see it.
00:20:24
Doesn't mean it didn't exist.
00:20:26
And when we look at the genetic data
00:20:28
from these ancestral hominids, that, you know,
00:20:33
where we can look at genes that are involved
00:20:35
in learned vocal communication,
00:20:37
they have the same sequence as we humans do
00:20:41
for genes that function in speech circuits.
00:20:43
So I think Neanderthals had spoken language.
00:20:46
I'm not going to say it's as advanced as what it is in humans.
00:20:48
I don't know.
00:20:50
But I think it's been there for at least
00:20:52
between 500,000 to a million years
00:20:55
that our ancestors had this ability
00:20:58
and that we've been coming more and more advanced with it
00:21:00
culturally and possibly genetically.
00:21:04
But I think it's evolved sometime
00:21:06
in the last 500,000 to a million years.
00:21:08
- Incredible.
00:21:10
Maybe we could talk a little bit more
00:21:11
about the overlap between brain circuits
00:21:14
that control language and speech
00:21:16
in humans and other animals.
00:21:20
I was weaned in the neuroscience era
00:21:23
where birdsong and the ability of birds
00:21:27
to learn their tooter song
00:21:29
was and still is a prominent field,
00:21:32
subfield of neuroscience.
00:21:33
And then of course,
00:21:34
neuroimaging of humans speaking and learning, et cetera,
00:21:39
and this notion of a critical period,
00:21:41
a time in which language is learned more easily
00:21:44
than it is later in life.
00:21:46
And the names of the different brain areas
00:21:48
were quite different.
00:21:50
If one opens the textbooks,
00:21:52
we hear Wernicke's and Broca's for the humans.
00:21:54
And you look at the birds of it,
00:21:55
I remember, you know.
00:21:57
- HVC. - Robustus, striatum.
00:21:59
Area X. - That's right.
00:22:00
That's right, yes. - Et cetera.
00:22:02
But for most of our listeners,
00:22:04
those names won't mean a whole lot,
00:22:06
but in terms of homologies
00:22:10
between areas in terms of function, what do we know?
00:22:13
And how similar or different are the brain areas
00:22:17
controlling speech and language
00:22:18
in say a songbird and a young human child?
00:22:22
- Yeah, so, going back to the 1950s
00:22:26
or even a little earlier,
00:22:27
and Peter Muller and others who got involved in neurotology,
00:22:31
the study of neurobiology of behavior
00:22:34
in a natural way, right.
00:22:37
You know, they start to find that behaviorally,
00:22:40
there are these species of birds
00:22:42
like songbirds and parrots,
00:22:43
and now we also know hummingbirds, just three of them
00:22:46
out of the 40-something bird groups out there on the planet,
00:22:48
orders, that they can imitate sounds like we do.
00:22:52
And so that was a similarity.
00:22:54
In other words, they had this kind of behavior
00:22:56
that's more similar to us than chimpanzees have with us
00:22:59
or than chickens have with them, right,
00:23:01
their closer relatives.
00:23:03
And then they discovered even more similarities,
00:23:05
these critical periods that if you remove a child,
00:23:10
you know, this unfortunately happens where a child is feral
00:23:13
and is not raised with human
00:23:14
and goes through their puberty phase of growth,
00:23:18
it becomes hard for them to learn a language as an adult.
00:23:21
So there's this critical period where you learn best.
00:23:24
And even later on, when you're in regular society,
00:23:26
it's hard to learn.
00:23:27
Well, the birds undergo these same thing.
00:23:30
And then it was discovered that if they become deaf,
00:23:33
we humans become deaf,
00:23:35
our speech starts to deteriorate
00:23:37
without any kind of therapy.
00:23:40
If a non-human primate or, you know,
00:23:43
or let's say a chicken becomes deaf,
00:23:46
their vocalizations don't deteriorate.
00:23:48
very little at least.
00:23:50
Well, this happens in the vocal learning birds.
00:23:52
So there were all these behavioral parallels
00:23:54
that came along with a package,
00:23:56
and then people looked into the brain.
00:23:58
Fernando Nottebohm, my former PhD advisor,
00:24:01
and began to discover the Area X you talked about,
00:24:05
the robust nucleus of the archipallium.
00:24:09
And these brain pathways were not found
00:24:12
in the species who couldn't imitate
00:24:13
so there was a parallel here.
00:24:15
And then jumping many years later, you know,
00:24:18
I started to dig down into these brain circuits
00:24:21
to discover that these brain circuits
00:24:23
had parallel functions with the brain circuits for humans,
00:24:26
even though they're by a different name,
00:24:28
like Broca's laryngeal motor cortex.
00:24:30
And most recently,
00:24:32
we discovered not only the actual circuitry
00:24:34
and the connectivity are similar,
00:24:36
but the underlying genes that are expressed
00:24:39
in these brain regions in a specialized way,
00:24:41
different from the rest of the brain,
00:24:43
are also similar between humans, and songbirds and parrots.
00:24:46
So all the way down to the genes.
00:24:48
And now we're finding the specific mutations
00:24:51
are also similar, not always identical, but similar,
00:24:54
which indicates remarkable convergence
00:24:57
for a so-called complex behavior
00:24:59
in species separated by 300 million years
00:25:01
from a common ancestor.
00:25:02
And not only that,
00:25:04
we are discovering that mutations in these genes
00:25:08
that cause speech deficits in humans, like in FOXP2,
00:25:13
if you put those same mutations
00:25:15
or similar type of deficits in these vocal learning birds,
00:25:18
you get similar deficits.
00:25:19
So convergence of the behavior
00:25:21
is associated with similar genetic disorders
00:25:24
of the behavior.
00:25:25
- Incredible.
00:25:26
I have to ask, do hummingbird sing, or do they hum?
00:25:31
- Hummingbirds hum with their wings
00:25:32
and sing with their syrinx.
00:25:34
- In a coordinated way?
00:25:36
- In a coordinated way.
00:25:37
There's some species of hummingbirds that actually will,
00:25:43
Doug Ashler showed this,
00:25:44
that will flap their wings
00:25:46
and create a slapping sound with their wings
00:25:49
that's in unison with their song
00:25:52
and you would not know it,
00:25:54
but it sounds like a particular syllable in their songs,
00:25:58
even though it's their wings
00:26:00
and their voice at the same time.
00:26:02
- Hummingbirds are clapping to their song?
00:26:04
- Clapping with their,
00:26:05
they're snapping their wings together
00:26:08
in unison with a song to make it like,
00:26:10
if I'm going ba, da, da, da [bangs], but, da [bangs]
00:26:14
and I banged on the table
00:26:15
except they make it almost sound like their voice
00:26:18
with their wings.
00:26:20
- Incredible. - Yes.
00:26:21
- I, I'm...
00:26:22
- And they got some of the smallest brains around.
00:26:23
- As the kids would say mind blown, right?
00:26:25
- Yes. Yes.
00:26:26
- Incredible. - Yes.
00:26:27
- Incredible, I love hummingbirds.
00:26:28
And I always feel like it's such a special thing
00:26:31
to get a moment to see one
00:26:32
because they move around so fast
00:26:33
and they fled away so fast in these ballistic trajectories.
00:26:36
- [Erich] Yep.
00:26:37
- That when you get to see one stationary for a moment,
00:26:40
or even just hovering there,
00:26:42
you feel like you're extracting so much
00:26:44
from their little microcosm of life,
00:26:47
but now I realize they're playing music essentially.
00:26:49
- Right, exactly.
00:26:50
And what's amazing about hummingbirds
00:26:53
and I'm going to say, vocal learning species in general,
00:26:56
is that for whatever reason,
00:26:58
they seem to evolve multiple complex traits.
00:27:01
You know, this idea that the evolving language,
00:27:04
spoken language in particular,
00:27:06
comes along with a set of specializations.
00:27:09
- Incredible. - Yeah.
00:27:11
- When I was coming up in neuroscience,
00:27:13
I learned that I think it was the work of Peter Muller
00:27:17
that young birds learn,
00:27:20
songbirds learned their tooter song and learn it quite well,
00:27:26
but that they could learn the song of another tooter.
00:27:29
In other words, they could learn a different,
00:27:31
and for the listeners, I'm doing air quotes here,
00:27:32
"a different language",
00:27:33
"a different bird song",
00:27:35
different than their own species song.
00:27:37
But never as well as they could learn
00:27:39
their own natural genetically linked song.
00:27:44
- Yes. - Genetically linked,
00:27:45
meaning that it would be like
00:27:47
me being raised in a different culture,
00:27:48
and that I would learn the other language,
00:27:52
but not as well as I would have learned English.
00:27:55
This is the idea. - Yes.
00:27:57
- Is that true? - That is true, yes.
00:27:59
And that's what I learned growing up as well.
00:28:01
And talked to Peter Muller himself about before he passed.
00:28:05
Yeah, he used to call it the innate predisposition to learn.
00:28:09
All right.
00:28:10
So which would be kind of the equivalent
00:28:13
in the linguistic community of universal grammar.
00:28:16
There is something genetically
00:28:19
influencing our vocal communication
00:28:23
on top of what we learned culturally.
00:28:25
And so there's this balance
00:28:27
between the genetic control of speech
00:28:29
or a song in these birds
00:28:31
and the learned cultural control.
00:28:34
And so, yes, if you were to take,
00:28:38
you know, I mean, in this case,
00:28:40
we actually tried this at Rockefeller later on.
00:28:42
Take a zebra finch and raise it with a canary,
00:28:46
it would sing a song
00:28:48
that was sort of like a hybrid in between.
00:28:49
We call it a can-inch, right?
00:28:51
[both laughing]
00:28:53
And vice versa for the canary,
00:28:55
because there's something different
00:28:56
about their vocal musculature
00:28:57
or the circuitry in the brain.
00:29:00
And with a zebra finch, even with a closely related species,
00:29:03
if you would take a zebra finch, a young animal,
00:29:07
and in one cage next to it placed its own species,
00:29:10
adult male, right.
00:29:12
And in the other cage placed a Bengalese finch next to it,
00:29:15
it would preferably learn the song
00:29:17
from its own species neighbor.
00:29:20
But if you remove its neighbor,
00:29:22
it would learn that Bengalese finch very well.
00:29:24
- [Andrew] Fantastic.
00:29:26
- It has something to do with also the social bonding
00:29:29
with your own species.
00:29:30
- Incredible.
00:29:31
That raises a question that I,
00:29:33
based on something I also heard,
00:29:34
but I don't have any scientific
00:29:37
peer-reviewed publication to point to,
00:29:38
which is this idea of Pidgin not the bird,
00:29:41
but this idea of when multiple cultures
00:29:45
and languages converge in a given geographic area,
00:29:47
that the children of all the different native languages
00:29:50
will come up with their own language.
00:29:53
I think this was in island culture,
00:29:55
maybe in Hawaii, called Pidgin,
00:29:56
which is sort of a hybrid of the various languages
00:29:59
that their parents speak at home
00:30:01
and that they themselves speak.
00:30:03
And that somehow Pidgin again, not the bird,
00:30:06
but a language called Pidgin,
00:30:08
for reasons, I don't know,
00:30:10
harbors certain basic elements of all language.
00:30:14
Is that true?
00:30:15
Is that not true?
00:30:17
- I would say, I haven't studied enough myself
00:30:19
in terms of Pidgin, specifically,
00:30:21
but in terms of cultural evolution of language
00:30:24
and hybridization between different cultures and so forth,
00:30:27
even amongst birds with different dialects
00:30:30
and you bring them together, you know,
00:30:33
what is going on here is cultural evolution
00:30:37
remarkably tracks genetic evolution.
00:30:41
So if you bring people
00:30:43
from two separate populations together
00:30:45
that have been in their separate populations,
00:30:47
evolutionarily, at least for hundreds of generations,
00:30:51
so someone's speaking Chinese,
00:30:52
someone's speaking English,
00:30:54
and that child is then learning from both of them.
00:30:58
Yes, that child's going to be able to pick up
00:31:00
and merge phonemes and words together
00:31:06
in a way that an adult wouldn't, because, why?
00:31:09
They're experiencing both languages at the same time
00:31:12
during their critical period years,
00:31:16
in a way that adults would not be able to experience.
00:31:19
And so you get a hybrid.
00:31:21
And the lowest common denominator
00:31:23
is going to be what they share.
00:31:25
And so the phonemes that they've re retained
00:31:27
in each of their languages is what's going to be,
00:31:31
I imagine, used the most.
00:31:33
- Interesting.
00:31:35
So we've got brain circuits in songbirds and in humans
00:31:40
that in many ways are similar,
00:31:41
perhaps not in their exact wiring,
00:31:43
but in their basic contour of wiring.
00:31:45
And genes that are expressed
00:31:47
in both sets of neural circuits in very distinct species
00:31:51
that are responsible for these phenomenon
00:31:54
we're calling speech and language.
00:31:56
What sorts of things are those genes controlling?
00:32:00
I could imagine they were controlling the wiring
00:32:03
of connections between brain areas.
00:32:04
You know, essentially a map of, you know, of a circuit,
00:32:08
basically like an engineer
00:32:09
would design a circuit for speech and language,
00:32:11
nature designed the circuit for speech and language,
00:32:14
but presumably other things too.
00:32:16
Like the ability to connect motor patterns
00:32:22
within the throat of muscles within the throat,
00:32:24
or in the control of the tongue.
00:32:26
I mean, what are these genes doing?
00:32:27
- You're pretty good, yeah.
00:32:29
You've made some very good guesses there that makes sense.
00:32:34
So, yes, one of the things that differ
00:32:36
in the speech pathways of us
00:32:38
and these song pathways of birds
00:32:39
is some of the connections are fundamentally different
00:32:42
than the surrounding circuits,
00:32:44
like a direct cortical connection
00:32:47
from the areas that control vocalizations in the cortex
00:32:50
or the motor neurons that control the larynx,
00:32:52
in humans or the syrinx in birds.
00:32:54
And so we actually made a prediction
00:32:57
that since some of these connections differ,
00:33:00
we're going to find genes that control neural connectivity,
00:33:03
and that specialize in that function, that differ.
00:33:05
And that's exactly what we found.
00:33:09
Genes that control what we call axon guidance
00:33:11
and form neuronal connections,
00:33:12
and what was interesting,
00:33:14
it was sort of in the opposite direction that we expected.
00:33:17
That is, some of these genes,
00:33:20
actually, a number of them
00:33:21
that control neural connectivity were turned off
00:33:24
in the speech circuit, all right.
00:33:27
And it didn't make sense to us at first
00:33:29
until we started to realize the function
00:33:31
of these genes are to repel connections from forming,
00:33:34
so repulsive molecules.
00:33:36
And so when you turn them off,
00:33:38
they allow certain connections to form
00:33:40
that normally would have not formed.
00:33:42
So by turning it off,
00:33:43
you gain a function for speech, right?
00:33:47
Other genes that surprised us
00:33:49
were genes involved in calcium buffering neuroprotection,
00:33:54
like Parvalbumin or heat-shock proteins,
00:33:56
so when your brain gets hot, these proteins turn on.
00:33:59
And we couldn't figure out for a long time,
00:34:01
why is that the case?
00:34:03
And then the idea popped to me one day and said, ah,
00:34:06
when I heard the larynx is the fastest firing muscles
00:34:09
in the body, all right.
00:34:11
In order to vibrate sound
00:34:14
and modulate sound in the way we do,
00:34:16
you have to control,
00:34:18
you have to move those muscles, you know,
00:34:20
three to four to five times faster
00:34:23
than just regular walking or running.
00:34:25
And so when you stick electrodes
00:34:28
in the brain areas that control learned vocalizations
00:34:31
in these birds and I think in humans as well,
00:34:34
those neurons are firing at a higher rate
00:34:36
to control these muscles.
00:34:38
And so what is that going to do?
00:34:40
You're going to have lots of toxicity in those neurons,
00:34:43
unless you upregulate molecules
00:34:45
that take out the extra load
00:34:48
that is needed to control the larynx.
00:34:50
And then finally, a third set of genes
00:34:52
that are specialized in these speech circuit
00:34:55
are involved in neuroplasticity.
00:34:57
Neuroplasticity, meaning allowing the brain circuits
00:35:01
to be more flexible so you can learn better.
00:35:05
And why is that?
00:35:06
I think learning how to produce speech
00:35:09
is a more complex learning ability
00:35:12
than say learning how to walk
00:35:14
or learning how to do tricks
00:35:17
and jumps and so forth that dogs do.
00:35:19
- Yeah, it's interesting as you say that,
00:35:21
because I realize that many aspects of speech
00:35:24
are sort of reflexive.
00:35:25
I'm not thinking about each word I'm going to say,
00:35:27
they just sort of roll out of my mouth,
00:35:29
hopefully with some forethought.
00:35:31
We both know people that seem to speak, think less,
00:35:35
fewer synapses between their brain and their mouth
00:35:37
than others, right. - Yes.
00:35:38
- A lot of examples out there,
00:35:39
and some people are very deliberate in their speech,
00:35:41
but nonetheless, that much of speech has to be precise.
00:35:46
And some of it less precise.
00:35:49
In terms of plasticity of speech
00:35:51
and the ability to learn multiple languages,
00:35:53
but even just one language,
00:35:55
what's going on in the critical period,
00:35:57
the so-called critical period? - Yeah.
00:35:59
- Why is it that, so my niece speaks Spanish.
00:36:02
She's Guatemalan and speaks Spanish
00:36:04
and English incredibly well.
00:36:06
She's 14-years-old.
00:36:08
I've struggled with Spanish my whole life.
00:36:09
My father is bilingual.
00:36:10
My mother is not.
00:36:11
I've tried to learn Spanish as an adult.
00:36:13
It's really challenging.
00:36:15
I'm told that had I learned it when I was eight,
00:36:18
I would be better off. - That's right.
00:36:19
- Or it would be installed within me.
00:36:22
So the first question is,
00:36:24
is it easier to learn multiple languages
00:36:26
without an accent early in life?
00:36:28
And if so, why?
00:36:29
And then the second question is
00:36:30
if one can already speak more than one language
00:36:34
as a consequence of childhood learning,
00:36:36
is it easier to acquire new languages later on?
00:36:40
- So, the answer to both of those questions is yes, in that,
00:36:44
but to explain this, I need to let you know,
00:36:49
actually the entire brain
00:36:51
is undergoing a critical period development,
00:36:54
not just the speech pathways.
00:36:56
And so it's easier to learn how to play a piano.
00:36:59
It's easier to learn how to ride a bike
00:37:01
for the first time and so forth
00:37:03
as a young child than it is later in life.
00:37:07
What I mean easier in terms of when you start
00:37:11
from first principles of learning something.
00:37:13
So the very first time,
00:37:15
if you're going to learn Chinese as a child
00:37:17
versus the very first time you learn Chinese as an adult
00:37:20
or learning to play piano as a child versus an adult.
00:37:24
But the speech pathways,
00:37:26
or let's say speech behavior,
00:37:28
I think has a stronger critical period
00:37:31
change to it than other circuits.
00:37:34
And why, what's going on there in general?
00:37:39
Why do you need a critical period
00:37:41
to make you more stable,
00:37:43
to make you more stubborn, so to speak?
00:37:47
The reason I believe is that the brain is not for,
00:37:52
the brain can only hold so much information.
00:37:55
And if you are undergoing rapid learning to learn,
00:38:01
to acquire new knowledge,
00:38:02
you also have to, you know, dumb stuff.
00:38:05
Put in memory or information in the trash,
00:38:08
like in a computer.
00:38:10
You only have so many gigabases of memory.
00:38:13
And so therefore, plus also for survival,
00:38:17
you don't want to keep forgetting things.
00:38:19
And so the brain is designed, I believe,
00:38:23
to undergo this critical period
00:38:25
and solidify the circuits with what you learned as a child
00:38:29
and you use that for the rest of your life.
00:38:31
And we humans stay even more plastic in our brain functions
00:38:36
controlled by a gene called srGAP2.
00:38:38
We have an extra copy of it
00:38:40
that leads our speech circuit and other brain regions
00:38:42
in a more immature state throughout life
00:38:44
compared to other animals.
00:38:46
So we're more immature.
00:38:47
We're still juvenile like compared to other animals.
00:38:49
- I knew it.
00:38:50
- But we still go through the critical periods
00:38:52
like they all do.
00:38:54
And now the question you asked about,
00:38:57
if you learn more languages as a child,
00:39:01
is it easier to learn as an adult?
00:39:03
And that's a common finding out there in the literature.
00:39:06
There's some that argue against it.
00:39:08
But for those that support it, the idea there is,
00:39:11
you are born with a set of innate sounds
00:39:14
you can produce of phonemes.
00:39:16
And you narrow that down
00:39:18
because not all languages use all of them.
00:39:20
And so you narrow down the ones
00:39:21
you use to string the phonemes together,
00:39:24
in words that you learn
00:39:26
and you maintain those phonemes as an adult.
00:39:29
And here comes along another language
00:39:31
that's using those phonemes
00:39:32
or in different combinations you're not used to.
00:39:36
And therefore, it's like starting from first principles,
00:39:39
but if you already have them
00:39:41
in multiple languages that you're using,
00:39:43
then it makes it easier to use them
00:39:45
in another third or fourth language.
00:39:47
- I see, incredible.
00:39:49
- So, it's not like your brain
00:39:52
has maintained greater plasticity,
00:39:54
it's your brain has maintained greater ability
00:39:57
to produce different sounds
00:39:59
that then allows you to learn another language faster.
00:40:02
- Got it.
00:40:03
Are the hand gestures associated with sounds
00:40:08
or with meanings of words?
00:40:10
- I think the hand gestures are associated
00:40:11
with both the sounds and the meaning.
00:40:14
When I say sound like if you are really angry, right,
00:40:19
and you are making a loud screaming noise, right,
00:40:22
you may make hand gestures
00:40:25
that look like you're going to beat the wall, right?
00:40:27
Because you're making loud sounds and loud gestures, right.
00:40:32
But if you want to explain something like, come over here,
00:40:35
what I just do now to you for those who can't see me,
00:40:38
I swung my hand towards you and swung it here to me.
00:40:41
That has a meaning to it, to come here.
00:40:44
So just like with the voice,
00:40:46
the hand gestures are producing both, you know,
00:40:51
both qualities of sound.
00:40:53
- And for people that speak multiple languages,
00:40:55
especially those that learn those multiple languages
00:40:58
early in development,
00:40:59
do they switch their patterns of motor movements
00:41:02
according to let's say,
00:41:04
going from Italian to Arabic
00:41:06
or from Arabic to French
00:41:08
in a way that matches the precision of language
00:41:12
that they're speaking?
00:41:13
- You know what?
00:41:14
You just asked me a question,
00:41:15
I don't know the answer to.
00:41:17
I would imagine that would make sense because of switching
00:41:23
in terms of sometimes people might call this code switching,
00:41:25
even different dialects of the same language.
00:41:28
Could you do that with your gestures?
00:41:30
I imagine so, but I really don't know if that's true or not.
00:41:34
- Okay, well, I certainly don't know from my own experience
00:41:35
because I only speak one language.
00:41:37
[both laughing]
00:41:39
Before we continue with today's discussion,
00:41:41
I'd like to just briefly acknowledge our sponsor,
00:41:43
Athletic Greens, now called AG1.
00:41:47
Athletic Greens, aka AGI,
00:41:49
is an all-in-one vitamin mineral probiotic drink
00:41:51
that also has adaptogens and digestive enzymes.
00:41:54
I've been taking Athletic Greens since way back in 2012
00:41:57
so I'm delighted that they're sponsoring the podcast.
00:42:00
The reason I started taking Athletic Greens
00:42:01
and the reason I still drink Athletic Greens twice a day
00:42:04
is that it supplies
00:42:05
total foundational coverage of my vitamin mineral needs
00:42:08
and it supplies important nutrients that I need
00:42:11
to support my gut microbiome.
00:42:13
The gut microbiome, as many of you know,
00:42:15
supports the immune system
00:42:16
and it also supports the so-called gut brain access,
00:42:18
which is vital for mood, for energy levels,
00:42:20
for regulating focus
00:42:21
and many other features of our mental health
00:42:23
and physical health that impact our daily performance
00:42:26
and high performance in any endeavors
00:42:27
we might be involved in.
00:42:29
If you'd like to try Athletic Greens,
00:42:30
you can go to athleticgreens.com/huberman
00:42:33
and claim a special offer.
00:42:34
They're giving away five free travel packs,
00:42:36
plus a year's supply of vitamin D3 K2 with every order.
00:42:40
And of course, vitamin D3 K2
00:42:42
are vital for all sorts of things like hormone health
00:42:44
and metabolic health
00:42:45
and K2 for cardiovascular health and calcium regulation.
00:42:48
Again, you can go to athleticgreens.com/huberman
00:42:51
to claim that special offer.
00:42:52
To go a little bit into the abstract, but not too far,
00:42:57
what about modes of speech and language
00:42:59
that seem to have a depth of emotionality and meaning,
00:43:03
but for which it departs from structured language.
00:43:06
Here's what I mean, poetry. - Hmm hmm.
00:43:09
- I think of musicians,
00:43:11
like there's some Bob Dylan songs that, to me,
00:43:14
I understand the individual words.
00:43:17
I like to think there's an emotion associated with it.
00:43:20
at least, I experience some sort of emotion
00:43:21
and I have a guess about what he was experiencing.
00:43:25
But if I were to just read it linearly without the music
00:43:29
and without him singing it, or somebody singing it like him,
00:43:32
it wouldn't hold any meaning.
00:43:33
So in other words, words that seem to have meaning,
00:43:37
but not associated with language,
00:43:39
but somehow tap into an emotionality.
00:43:43
- Yep, absolutely.
00:43:45
So, we call this difference semantic communication,
00:43:49
communication with meaning
00:43:51
and effective communication,
00:43:52
communication that has more
00:43:54
of an emotional feeling content to it,
00:43:57
you know, but not with, you know, the semantics.
00:44:00
And the two can be mixed up,
00:44:02
like with singing words that have meaning,
00:44:05
but also have this effect of emotional,
00:44:07
you just love the sound of the singer that you're hearing.
00:44:12
And initially, you know,
00:44:16
psychologists, scientists, in general,
00:44:18
thought that these were going to be controlled
00:44:20
by different brain circuits.
00:44:23
And it is the case.
00:44:24
There are emotional brain centers in the hypothalamus,
00:44:27
in the cingulate cortex and so forth,
00:44:29
that do give tone to the sounds.
00:44:33
But I believe, you know, based upon imaging work
00:44:37
and work we see in birds,
00:44:39
when birds are communicating semantic information
00:44:42
in their sounds, which is not too often, but it happens,
00:44:45
versus effective communication,
00:44:48
sing because I'm trying to attract the mate,
00:44:50
my courtship song or defend my territory,
00:44:53
it's the same brain circuits.
00:44:54
It's the same speech-like or song,
00:44:56
circuits are being used in different ways.
00:45:00
- A friend of mine, who's also a therapist, said to me,
00:45:03
you know, it's possible to say,
00:45:05
I love you with intense hatred
00:45:07
than to say, I hate you with intense love.
00:45:10
- [Eric] Right.
00:45:11
- And reminding me that it's possible to hear
00:45:12
both of those statements in either way.
00:45:15
So I guess it's not just limited to song or poetry.
00:45:19
It also, there's something about the intention
00:45:23
and the emotional context in which something spoken
00:45:27
that it can heavily shape the way
00:45:29
that we interpret what we hear.
00:45:31
- That's right.
00:45:32
And I consider all of that actually, meaning,
00:45:35
even though I defined it as,
00:45:37
people commonly do semantic and effective communication.
00:45:41
Effective communication to say, I hate you,
00:45:43
but meant love, right,
00:45:47
does have emotional meaning to it, you know?
00:45:51
And so, you know, one's more like an object kind of meaning
00:45:53
or an abstract kind of meaning.
00:45:55
There's several other points here
00:45:56
I think it's important for those listening out there to hear
00:46:00
is that when I say also
00:46:02
this effective and semantic communication
00:46:07
being used by similar brain circuits,
00:46:08
it also matters, the side of the brain.
00:46:11
In birds and in humans,
00:46:14
there's left-right dominance
00:46:17
for learned communication, learned sound communication.
00:46:21
So the left in us humans is more dominant for speech,
00:46:25
but the right has a more balance for singing
00:46:29
or processing musical sounds
00:46:31
as opposed to processing speech.
00:46:32
Both get used for both reasons.
00:46:34
And so when people say your right brain
00:46:37
is your artistic brain
00:46:39
and your left brain is your thinking brain,
00:46:41
this is what they're referring to.
00:46:43
And so that's another distinction.
00:46:46
A second thing that's useful to know
00:46:49
is that all vocal learning species
00:46:51
use their learned sounds for this emotional
00:46:55
effective kind of communication,
00:46:58
but only a few of them like humans
00:47:00
and some parrots and dolphins
00:47:02
use it for the semantic kind of communication,
00:47:05
we're calling speech.
00:47:07
And that has led a number of people to hypothesize
00:47:11
that the evolution of spoken language, of speech,
00:47:14
evolved first for singing,
00:47:17
for this more like emotional
00:47:19
kind of mate attraction like the Jennifer Lopez,
00:47:22
the Ricky Martin kind of songs and so forth.
00:47:25
And then later on,
00:47:27
it became used for abstract communication
00:47:29
like we're doing now.
00:47:31
- Oh, interesting.
00:47:32
Well, that's a perfect segue for me
00:47:34
to be able to ask you about your background
00:47:38
and motor control, not only of the hands but of the body.
00:47:42
So you have a number of important distinctions to your name,
00:47:46
but one of them is that you were a member
00:47:49
of the Alvin Ailey Dance School,
00:47:52
School of Dance. - That's right. That's right, hmm hmm.
00:47:54
- So you're an accomplished
00:47:55
and quite able dancer, right?
00:47:58
Tell us a little bit about your background
00:48:00
in the world of dance
00:48:03
and how it informs your interest in neuroscience,
00:48:07
[clears throat], excuse me,
00:48:08
and perhaps even how it relates
00:48:09
specifically to your work on speech and language.
00:48:12
- Yes, well, it's interesting.
00:48:14
And then this kind of history even goes before my time.
00:48:17
So in my family, my mother and father's side,
00:48:19
they both went to the High School of Music and Art
00:48:21
here in New York City.
00:48:23
And particularly, in my mother's family,
00:48:25
going back multiple generations, they were singers.
00:48:28
And I even did my family genealogy
00:48:30
and found out not only, you know,
00:48:32
we have some relationships to some well-known singers,
00:48:35
distant relationships like Thelonious Monk,
00:48:37
but going back to the plantations
00:48:40
in North Carolina and so forth,
00:48:42
my ancestors were singers in the church
00:48:45
for the, you know, the towns and so forth.
00:48:47
And this somehow got passed on
00:48:49
multiple generations to my family.
00:48:51
And I thought I was going to grow up
00:48:53
and be a famous singer, right.
00:48:55
And me and my brothers and sister
00:48:57
formed a band when we were kids and so forth.
00:49:01
But it turned out that I didn't inherit
00:49:04
the singing talents of some of my other family members,
00:49:07
even though, you know, I was, you know, okay.
00:49:10
You know, but not like my brother,
00:49:11
or not like my mother or my aunts and my cousin Pura Fe',
00:49:16
who's now a talented Native American singer.
00:49:18
And so,
00:49:23
that then influenced me to do other things.
00:49:27
And I started, you know, competing in dance contests,
00:49:32
you know, actually this is around the time
00:49:33
of Saturday Night Fever and I was as a teenager.
00:49:36
And I started winning dance contests.
00:49:38
And I thought, oh, I can dance.
00:49:40
And I auditioned for the High School of Performing Arts.
00:49:42
And I got in, here in New York City,
00:49:45
and got into ballet dance and got in, right.
00:49:48
And thought, if I learned ballet,
00:49:49
I can learn everything else.
00:49:50
It I that idea, if you learn something classical,
00:49:53
it can teach for everything else.
00:49:55
And I was, yeah, at Alvin Ailey Dance School,
00:49:58
Joffrey Ballet Dance School.
00:50:00
And at the end of my senior concert,
00:50:04
I had this opportunity to audition
00:50:06
for the Alvin Ailey Dance Company.
00:50:08
And I had an opportunity to go to college.
00:50:11
And I also fell in love with another passion
00:50:13
that my father had, which was science.
00:50:15
And so I liked science in high school.
00:50:18
And I found an overlap also between the arts and sciences,
00:50:22
you know, both required creativity, hard work, discipline,
00:50:26
you know, new discovery, both weren't boring to me.
00:50:29
And the one decision I made at that senior dance concert
00:50:33
was, you know, when talking to the Alvin Ailey recruiter
00:50:36
and thinking about it,
00:50:37
I have to make a decision.
00:50:39
And I thought something my mother taught me
00:50:42
because she was growing up in the 1960s cultural revolution,
00:50:45
"Do something that has a positive impact on society."
00:50:49
And I thought that I could do that better
00:50:51
as a dancer than a scientist.
00:50:53
So now jump, I get into college, undergraduate school,
00:50:57
I major in molecular biology and mathematics.
00:51:00
I decide I want to be a biologist,
00:51:02
got into graduate school,
00:51:03
wanted to study the brain at, you know,
00:51:04
at the Rockefeller University.
00:51:06
So I went from Hunter College to Rockefeller University.
00:51:09
And so now I got to the brain
00:51:11
and why did I choose the brain
00:51:14
is because it controls dancing. [laughs]
00:51:17
But there wasn't anybody studying dancing.
00:51:19
And I wanted study the brain,
00:51:21
something that it does
00:51:22
that's really interesting and complex.
00:51:24
And I thought, ah, language is what it does.
00:51:27
You couldn't study that in mice.
00:51:28
You couldn't study in non-human primates.
00:51:30
But these birds do this wonderful thing
00:51:32
that Fernando Nottebohm was studying at Rockefeller.
00:51:34
And so that's what got me into the birds.
00:51:40
And then jumping now, 15 years later,
00:51:43
you know, yeah, that's right.
00:51:44
Even after I'm into now having my own lab,
00:51:48
studying vocal learning in these birds
00:51:50
as a model for language and humans,
00:51:52
it turns out that, you know,
00:51:55
Ani Patel and, you know, others,
00:51:58
have discovered that only vocal learning species
00:52:02
can learn how to dance.
00:52:04
- Is that right? - That's right, yes.
00:52:07
- So I've seen these just scrolling
00:52:09
through the files here in my mind.
00:52:12
I think about, every once in a while someone will,
00:52:13
I love parrots. - Yes.
00:52:16
- So every once in a while, someone will send me one of these little Instagram
00:52:19
or Twitter videos of a parrot
00:52:20
doing what looks to me like dance,
00:52:22
typically it's a cockatoo. - That's right.
00:52:24
- Right. - That's right. - Even foot stomping to the sound and-
00:52:27
- Famous one called Snowball out there,
00:52:28
but there are many Snowballs out there. [laughs]
00:52:31
- All the dancing birds are named Snowball?
00:52:33
That's an interesting tactic.
00:52:36
So only animals with language dance?
00:52:40
- Yeah, vocal learning in particular,
00:52:41
the ability to imitate sounds, yes.
00:52:44
- Incredible. - Yes.
00:52:45
And this now is bringing my life full circle, right.
00:52:50
And so when that was discovered in 2009,
00:52:55
at that same time in my lab at Duke,
00:52:57
we had discovered that vocal learning brain pathways
00:53:02
in songbirds, as well as in humans
00:53:04
and in parrots, right, like Snowball,
00:53:08
are embedded within circuits
00:53:09
that control learning how to move.
00:53:12
And that led us to a theory called the Brain Pathway
00:53:15
or Motor Theory of Vocal Learning Origin
00:53:18
where the brain pathways for vocal learning and speech
00:53:21
evolved by a whole duplication
00:53:23
of the surrounding motor circuits
00:53:24
involving learning how to move.
00:53:27
Now, how does that explain dance, right?
00:53:30
Well, when Snowball, the cockatoos, are dancing,
00:53:35
they're using the brain regions
00:53:36
around their speech-like circuits
00:53:38
to do this dancing behavior.
00:53:40
And so what's going on there?
00:53:42
What we hypothesize and now like to test
00:53:46
is that when this,
00:53:49
when speech evolved in humans
00:53:51
and the equivalent behavior and parrots and songbirds,
00:53:55
it required a very tight integration
00:53:58
in the brain regions that can hear sound
00:54:01
with the brain regions that control your muscles
00:54:04
from moving your larynx and tongue and so forth
00:54:07
for producing sound.
00:54:09
And that tight auditory motor integration,
00:54:11
we argue, then contaminated the surrounding brain regions.
00:54:15
And that contamination of the surrounding brain regions
00:54:18
now allows us humans, in particular, and parrots.
00:54:22
to coordinate our muscle movements of the rest of the body
00:54:26
with sound in the same way we do for speech sounds.
00:54:30
- [Andrew] Well.
00:54:31
- So we're speaking with our bodies when we dance.
00:54:33
- Incredible.
00:54:34
And I have to say that
00:54:36
as poor as I am at speaking multiple languages,
00:54:38
I'm even worse at dancing, so.
00:54:41
- But I guarantee you're better than a monkey.
00:54:44
- But not Snowball, the cockatoo?
00:54:45
- No, maybe not Snowball.
00:54:47
On YouTube, we have a video
00:54:48
where there's some scientists dancing with Snowball
00:54:51
and you'll see Snowballs doing better
00:54:52
than some of the scientists.
00:54:54
- Okay, well, as long as I'm not the worst
00:54:55
of all scientists dancing. - I don't think so.
00:54:58
- There's always a neuroplasticity.
00:55:00
May it save me someday.
00:55:03
You said something incredible
00:55:04
that I completely believe even though I have minimum to,
00:55:10
let's just say minimum dancing ability.
00:55:12
Okay, I can get by at a party or wedding
00:55:14
without complete embarrassment,
00:55:16
but I don't have any structured training.
00:55:20
So the body clearly can communicate with movement.
00:55:26
As a trained dancer and knowing other trained dancers,
00:55:30
I always think of dance and bodily movement
00:55:34
and communication through bodily movement
00:55:36
as a form of wordlessness,
00:55:38
like a state of wordlessness.
00:55:40
In fact, the few times when I think
00:55:42
that maybe I'm actually dancing modestly well
00:55:45
for the context that I'm in,
00:55:47
or I see other people dancing
00:55:48
and they seem to just be very much in the movement,
00:55:51
it's almost like a state of non-language,
00:55:54
non-spoken language. - Hmm hmm.
00:55:57
- And yet what you're telling me is
00:55:59
that there's a direct bridge at some level
00:56:02
between the movement of the body and language.
00:56:05
So is there a language of the body
00:56:08
that is distinct from the language of speech?
00:56:12
And if so, or if not, how do those map onto one another?
00:56:15
What does that Venn diagram look like?
00:56:17
- Yeah, yeah.
00:56:19
So, let me define first dance in this context
00:56:22
of vocal learning species.
00:56:24
This is the kind of dancing
00:56:26
that we are specialized in doing
00:56:28
and the vocal learning species are specialized in doing
00:56:31
is synchronizing body movements of muscles
00:56:34
to the rhythmic beats of music.
00:56:37
And for some reason, we like doing that.
00:56:39
We like synchronizing to sound
00:56:42
and doing it together as a group of people.
00:56:45
And that kind of communication amongst ourselves
00:56:49
is more like the effective kind of communication
00:56:51
I mentioned earlier,
00:56:53
unlike the semantic kind.
00:56:54
So we, humans, are using our voices more
00:56:58
for the semantic, abstract communication,
00:57:02
but we're using learned dance
00:57:04
for the effective emotional bonding kind of communication.
00:57:09
It doesn't mean we can't communicate semantic information
00:57:12
in dance, and we do it,
00:57:14
but it's not as popular.
00:57:16
You know, like a ballet that, you know, in the Nutcracker,
00:57:19
it is popular, you know,
00:57:21
where they are communicating,
00:57:23
you know, the Arabian guy comes out,
00:57:25
which I was the Arabian guy in the ballet Nutcracker.
00:57:28
That's how I remember. - Oh, yeah?
00:57:29
- Yeah, for the Westchester Ballet Company,
00:57:30
when I was a teenager.
00:57:33
You know, we're trying to communicate meaning
00:57:35
and our ballet dancing, it can go on
00:57:37
with a whole story and so forth.
00:57:39
But people don't interpret that as clearly as speech.
00:57:42
You know, they're seeing the ballet
00:57:44
with semantic communication,
00:57:46
with a lot of emotional content,
00:57:48
whereas you go out to a club, you know,
00:57:51
yeah, you're not communicating,
00:57:53
okay, how you're feeling today?
00:57:55
Tell me about your day and so forth.
00:57:57
You're trying to synchronize with other people
00:57:59
in an effective way.
00:58:01
And I think that's because,
00:58:04
the dance brain circuit
00:58:06
inherited the more ancient part of the speech circuit,
00:58:10
which was for singing.
00:58:12
- I always had the feeling
00:58:13
that with certain forms of music, in particular opera,
00:58:17
but any kind of music where there's some long notes sung
00:58:23
that at some level,
00:58:25
there was a literal resonance created
00:58:29
between the singer and the listener.
00:58:33
Or I think of like the deep voice of a Johnny Cash
00:58:35
or where at some level,
00:58:37
you can almost feel the voice in your own body.
00:58:40
And in theory, that could be the vibration of the
00:58:45
or the firing of the phrenic nerve
00:58:46
controlling the diaphragm for all I know.
00:58:49
Is there any evidence that there's a coordination
00:58:51
between performer and audience
00:58:53
at the level of mind and body?
00:59:00
- I'm going to say, possibly, yes.
00:59:04
And the reason why is
00:59:05
because I just came back from a conference
00:59:07
on the neurobiology of dance-
00:59:10
- Clearly, I'm going to the wrong meetings.
00:59:12
- Yeah, a colleague invited me.
00:59:13
- You know, vision science sounds be so boring.
00:59:14
- Yes, well, one of my colleagues,
00:59:16
Tecumseh Fitch and Jonathan Fritz,
00:59:18
they organized, well, a particular section
00:59:21
on this conference in Virginia.
00:59:23
And this is the first time I was in the room
00:59:25
with so many neuroscientists
00:59:28
studying the neurobiology of dance.
00:59:29
It's a new field now, in the last five years.
00:59:32
And there was one lab
00:59:36
where they were putting EEG electrodes on the dancers,
00:59:41
on two different dancers partnering with each other,
00:59:44
as well as the audience, you know, seeing the dance
00:59:49
and some, you know, argued,
00:59:50
okay, if you're listening to the music as well,
00:59:52
how are you responding
00:59:53
'cause you're asking a question about music
00:59:55
and I'm giving you an answer about dance.
00:59:58
And what they found is that, you know, the dancers,
01:00:02
when they resonated with each other during the dance,
01:00:04
or the audience listening to the dancers and the music,
01:00:07
there's some resonance going on there
01:00:09
that they've score as higher resonance.
01:00:13
Their brain activity with these wireless EEG signals
01:00:16
are showing something different.
01:00:18
And so that's why I say possibly, yes.
01:00:20
It needs more rigorous study
01:00:23
and you know, this is some stuff they publish,
01:00:25
but it's not prime time yet,
01:00:27
but they're trying to figure this out.
01:00:29
- Love it.
01:00:30
So at least if I can't dance well,
01:00:32
maybe I can hear and feel
01:00:34
what it is to dance in a certain way.
01:00:36
- Yes, that's right.
01:00:37
And this will be, some people will think that they,
01:00:41
even songs that they hear
01:00:43
and they can almost sing to themselves in their own head
01:00:46
and they know what they want it to sound like.
01:00:49
And you know when it really sounds good,
01:00:51
what it sounds like,
01:00:52
but they can't get their voice to do it.
01:00:55
- I'm raising, for those listening,
01:00:56
I'm raising my hand.
01:00:58
No musical ability.
01:01:00
Others in my household have tremendous musical ability
01:01:03
with instruments and with voice, but not me.
01:01:06
- Yeah, well, and so this is one of my selfish goals
01:01:11
of trying to find the genetics
01:01:13
of why can some people who sing really well and some not.
01:01:17
Is there some genetic predisposition to that?
01:01:20
And then can I modify my own muscles
01:01:22
of brain circuits to sing better?
01:01:24
- You're still after the sing.
01:01:26
I guess this is what happens
01:01:27
when siblings vary in proficiency
01:01:30
is that competitiveness amongst brothers
01:01:33
and sisters never goes away.
01:01:34
- I've been trying to be as good as my brother,
01:01:36
Mark and Victor, you know, for my entire life.
01:01:40
- Well, watch out, Mark and Victor,
01:01:41
he's coming for you with neuroscience to back him.
01:01:45
Earlier, you said that you discovered that you could dance.
01:01:49
That caught my ear.
01:01:51
It sounds like you didn't actually have to,
01:01:52
I'm not suggesting you didn't work hard at it.
01:01:55
But at the moment where you discovered it,
01:01:57
it just sort of was a skill that you had,
01:02:00
that up until that point,
01:02:01
you didn't target a life in the world of dance,
01:02:06
but the fact that you quote, unquote,
01:02:08
"discovered that you could dance really well"
01:02:10
and then went to this incredible school of dance
01:02:11
and did well,
01:02:13
tells me that perhaps there is an ability
01:02:16
that was built up in childhood
01:02:18
and or that perhaps we do all have
01:02:21
different genetic leanings for different motor functions.
01:02:24
- Yeah, well, for me, there could be,
01:02:27
both explanations could be possible.
01:02:29
For the first, yeah, I grew up in a family,
01:02:32
listening to Motown songs,
01:02:34
you know, dancing, you know, at parties and so forth,
01:02:37
family parties and, you know,
01:02:39
an African American family, basically.
01:02:41
And so I grew up dancing from a young child,
01:02:48
but this discovery, you know, maybe dancing even moreso,
01:02:54
in terms of a talent,
01:02:57
it could, the genetic component,
01:02:58
if it really exists, I don't know.
01:03:00
You know, with my 23andMe results, you know,
01:03:03
it says I have the genetic substitutions
01:03:07
that are associated with, you know,
01:03:10
high intensity athletes and fast twitch muscles.
01:03:13
And who knows.
01:03:14
Maybe that could have something to do with
01:03:16
me being able to synchronize my body
01:03:20
to rhythmic sounds, maybe,
01:03:23
maybe, better than some others.
01:03:26
It turns out that my genetics also show
01:03:28
that I have a genetic substitute
01:03:31
that makes it hard for me to sing on pitch.
01:03:34
And so that does correlate with my, you know,
01:03:37
even though I can sing on this pitch,
01:03:38
especially if I hear a piano or, you know,
01:03:40
kind of playing it, but,
01:03:42
you know, maybe that's why my siblings, you know,
01:03:44
who didn't have that genetic predisposition
01:03:47
in his 23andMe results, you know,
01:03:49
it could go along with the genetic component, as well.
01:03:52
- I'm imagining family gatherings with 23andMe data
01:03:56
and intense arguments about it,
01:03:58
innate and learned ability. - Yes.
01:03:59
- Fun.
01:04:01
Love to be an attendant.
01:04:02
I'm not inviting myself to your Thanksgiving dinner
01:04:04
by the way, but I suppose I am.
01:04:07
- You're welcome to. - Thank you.
01:04:09
I'll bring my 23andMe data.
01:04:11
I'd love to chat a moment about facial expression
01:04:14
because that's a form of motor pattern that,
01:04:17
you know, I think for most people out there
01:04:20
just think about smiling and frowning,
01:04:22
but there are, of course, you know, thousands,
01:04:24
if not millions of micro expressions
01:04:27
and things of that sort,
01:04:28
many of which are subconscious.
01:04:30
And we are all familiar with the fact that
01:04:34
when what somebody says
01:04:36
doesn't match some specific feature
01:04:38
of their facial expression
01:04:40
that it can call, you know,
01:04:42
that mismatch can cue our attention,
01:04:45
especially among people that know each other very well.
01:04:47
Like somebody will say, well, you said that,
01:04:50
but your right eye twitched to the, you know,
01:04:53
a little bit in a way that tells me
01:04:55
that you didn't really mean that,
01:04:56
these kinds of things.
01:04:57
Or when, in the opposite example,
01:05:01
when the emotionality and the content of our speech
01:05:05
is matched to a facial expression,
01:05:07
there's something that's just so wonderful about that,
01:05:11
because it seems like everything's aligned.
01:05:12
- [Erich] Yeah.
01:05:13
- So how does the motor circuitry
01:05:16
that controls facial expression
01:05:18
map onto the brain circuits that control language,
01:05:21
speech, and even bodily and hand movements?
01:05:23
- Yeah, and you ask a great question
01:05:26
because we both know some colleagues
01:05:28
like Winrich Freiwald at Rockefeller University
01:05:30
who study facial expression and the neurology behind it.
01:05:33
And now we both share some students that we're co-mentoring.
01:05:37
And talk about this same question that you brought up.
01:05:41
And what I'm learning a lot
01:05:43
is that non-human primates have a lot of diversity
01:05:46
in their facial expression like we humans do.
01:05:49
And what we know about the neurobiology
01:05:52
of brain regions controlling those muscles of the face
01:05:55
is that these non-human primates
01:05:57
and some other species that don't learn
01:05:58
how to imitate vocalizations,
01:06:00
they have strong connections from the cortical regions
01:06:05
to the motor neurons that control facial expressions,
01:06:09
but absent connections or weak connections
01:06:12
to the motor neurons that control the voice.
01:06:14
So I think our diverse facial expression,
01:06:18
even though it's more diverse in these non-human primates,
01:06:21
there was already a preexisting diversity of communication,
01:06:25
whether it's intentional or unconscious
01:06:28
through facial expression in our ancestors.
01:06:31
And on top of that, we humans now add the voice
01:06:35
along with those facial expressions.
01:06:38
- I see.
01:06:39
And in terms of language learning when we're kids,
01:06:42
I mean, children, fortunately are not told
01:06:45
to fake their expressions
01:06:46
or to smile when they say I'm happy.
01:06:49
So at some point, everybody learns, for better or for worse,
01:06:52
how to untangle these different components of hand movement,
01:06:58
body posture, speech, and facial expression.
01:07:01
- [Erich] Yes.
01:07:02
- But in their best form, I would say,
01:07:05
assuming that the best form is always,
01:07:07
I guess there are instances where, you know,
01:07:09
for safety reasons, one might need
01:07:10
to fain some of these aspects of language.
01:07:13
But in most cases, when those are aligned,
01:07:16
it seems like that could reflect that
01:07:19
all the different circuitries are operating in parallel,
01:07:22
but that the ability to misalign these
01:07:25
is also a powerful aspect to our maturation.
01:07:29
I can think of theater, for instance,
01:07:31
where deliberate disentangling of these areas is important.
01:07:36
But also we know when an actor,
01:07:39
when it feels real. - Yep.
01:07:41
- And when it looks like,
01:07:42
when bad acting is oftentimes
01:07:44
when the facial expression or body posture
01:07:46
just doesn't quite match what we're hearing.
01:07:48
- [Erich] Yeah. - So are these skills that people,
01:07:52
that learn and acquire according
01:07:53
to adaptability and profession?
01:07:55
Or do you think that all children and all adults
01:07:58
eventually learn how to couple
01:08:00
and uncouple these circuits a little bit?
01:08:02
- Yeah, I think it's this similar argument
01:08:05
I mentioned earlier about the innate and learned
01:08:08
for the vocalizations.
01:08:09
And by the way, when I say,
01:08:10
we humans have facial expressions
01:08:12
associated with our vocalizations
01:08:14
in a different way than primates, non-human primates,
01:08:17
it's the learned vocalizations I'm talking about.
01:08:19
So there is a common view out there
01:08:23
that facial expressions in non-human species
01:08:26
like nonhuman primates,
01:08:28
or you can have them in birds, too,
01:08:30
are innate, all right.
01:08:33
And so they're reflexive and controlled.
01:08:36
I don't believe that.
01:08:37
I think there's some learned component to it.
01:08:38
And I think we have more learning component to it as well,
01:08:41
but we also have an innate component.
01:08:44
And so if you try to put your hands behind your back
01:08:48
and hold your fist, or even just not,
01:08:49
and try to speak and try to communicate,
01:08:52
it's actually harder to do.
01:08:53
You have to force yourself or put it by your side.
01:08:57
This comes naturally.
01:08:58
Facial expressions comes naturally
01:08:59
because there's an innate component.
01:09:02
And yes, you have to learn how to dissociate the two,
01:09:06
communicate something angry with your hands
01:09:08
or with your face,
01:09:09
but, you know, politely with your voice.
01:09:13
It's very hard to separate those two,
01:09:16
because there is that innate component
01:09:18
that brings them together.
01:09:21
So it's like an email, too.
01:09:22
You're emailing and someone says something by email,
01:09:25
someone can interpret that angrily or gently,
01:09:30
and it becomes ambiguous.
01:09:32
The facial expressions get rid of that ambiguity.
01:09:36
- So glad you brought that up
01:09:37
because my next question was,
01:09:38
and is about written language.
01:09:41
The first question I'll ask is when you write,
01:09:44
either type or write things out by hand,
01:09:46
do you hear the content of what you want to write
01:09:51
in your head?
01:09:52
Just, you personally.
01:09:54
- Yes, I do.
01:09:55
Yeah, and I know that I do,
01:09:59
because I was trying to figure out a debate about this issue
01:10:03
and trying to resolve the debate
01:10:06
with my own self experimentation on me.
01:10:09
- I asked that because,
01:10:11
a quite well-known colleague of ours,
01:10:12
Karl Deisseroth at Stanford,
01:10:14
who's been on this podcast, you know,
01:10:16
his optogenetics fame and psychiatry fame, et cetera.
01:10:18
- Yeah, I know him. - Yeah, he sends his regards.
01:10:21
- Okay. [laughs]
01:10:22
- Told me that his practice for writing
01:10:27
and for thinking involves a quite painful process
01:10:32
of forcing himself to sit completely still
01:10:36
and think in complete sentences,
01:10:38
to force thinking in complete sentences.
01:10:40
And when he told me that,
01:10:41
I decided to try this exercise and it's quite difficult.
01:10:43
First of all, it's difficult
01:10:44
for the reason that you mentioned,
01:10:46
which is that with many thoughts,
01:10:48
I want to look around
01:10:49
and I start to gesticulate with my hands, right?
01:10:52
So there it is, again,
01:10:53
the connection between language and hand movement,
01:10:55
even if one isn't speaking.
01:10:58
And the other part that's challenging is
01:11:01
I realize that while we write in complete sentences,
01:11:05
most of the time, we'll talk about how that's changing now.
01:11:08
- Right. - In texting, et cetera.
01:11:10
That we don't often think in complete sentences,
01:11:14
and specifically in simple declarative sentences,
01:11:18
that a lot of our thoughts would be,
01:11:20
if they were written out onto a page
01:11:23
would look pretty much like passive language
01:11:27
that a good copy editor or a good editor would say,
01:11:30
ugh, like we need to cross this out,
01:11:31
make this simple and declarative.
01:11:33
So what I'm getting at here is
01:11:35
what is the process of going from a thought to language,
01:11:40
to written word?
01:11:42
And I also wanted to touch on handwritten versus typed,
01:11:46
but thought to language, to written word.
01:11:49
What's going on there?
01:11:50
What do we know about the neural circuitry?
01:11:53
And I was going to ask, why is it so hard?
01:11:55
But now I want to ask why is this even possible?
01:11:58
It seems like a very challenging
01:12:00
neural computational problem.
01:12:02
- Yeah, yeah.
01:12:03
And coming from the linguistic world,
01:12:07
and even just the regular neurobiology world,
01:12:10
going back to something I said before
01:12:11
about a separate language module in the brain.
01:12:14
You know, there was this thought or hypothesis
01:12:16
that this language module
01:12:18
has all these complex algorithms to them.
01:12:21
And they're signaling to the speech circuit,
01:12:24
how to produce the sounds,
01:12:26
the hand circuit, how to write them or gesture,
01:12:30
the visual pathway on how to interpret them from reading
01:12:34
and the auditory pathway for listening.
01:12:37
I don't think that's the case, all right.
01:12:39
And you know, that this thinking where
01:12:41
there's this internal speech going on.
01:12:43
What I think is going on is
01:12:46
to explain what you're asking is about,
01:12:48
that I'm going to take it from the perspective,
01:12:50
reading something.
01:12:51
You read something on a paper.
01:12:53
The signal from the paper goes through your eyes.
01:12:56
It goes to the back of your brain,
01:12:58
to your visual cortical regions eventually.
01:13:01
And then you now got to interpret that signal
01:13:04
in your visual pathway of what you're reading.
01:13:07
How are you going to do that in terms of speech?
01:13:09
That visual signal then goes to your speech pathway
01:13:12
in the motor cortex in front here, in Broca's area.
01:13:15
And you silently speak what you read
01:13:18
in your brain without moving your muscles.
01:13:21
And sometimes actually, if you put electrodes, EEG,
01:13:25
EMG electrodes on your laryngeal muscles,
01:13:28
even on birds, you can do this,
01:13:30
you'll see activity there while reading
01:13:33
or trying to speak silently,
01:13:36
even though no sound's coming out.
01:13:38
And so your speech pathway
01:13:42
is now speaking what you're reading.
01:13:45
Now to finish it off,
01:13:47
that signal is sent to your auditory pathways
01:13:49
so you can hear what you're speaking in your own head.
01:13:53
- That's incredible.
01:13:54
- And this is why it's complicated
01:13:56
because you're using like three different pathways,
01:13:59
the visual, the speaking motor one,
01:14:01
and the auditory to read.
01:14:04
Oh, and then you got to write, right?
01:14:06
Okay, here comes the fourth one.
01:14:08
Now the hand areas next to your speech pathway
01:14:11
has got to take that auditory signal
01:14:13
or even the adjacent motor signals for speaking
01:14:16
and translate it into a visual signal on paper.
01:14:19
So, you're using at least four brain circuits,
01:14:23
which includes the speech production
01:14:25
and the speech perception pathways to write.
01:14:28
- Incredible.
01:14:29
And finally, explain to me why,
01:14:33
so I was weaned teaching undergraduates,
01:14:35
graduate students and medical students
01:14:37
and I've observed that when I'm teaching,
01:14:40
I have to stop speaking
01:14:41
if I'm going to write something on the board.
01:14:44
I just have to stop all speaking completely.
01:14:46
- [Erich] Right.
01:14:47
- It turns out this is an advantage to catch
01:14:49
because it allows me to catch my voice.
01:14:51
It allows me to slow down a bit, you know,
01:14:53
breathe and inhale some oxygen and so on
01:14:56
because I tend to speak quickly
01:14:57
if I'm not writing something out.
01:14:59
So there's a break in the circuitry for me,
01:15:02
or at least they are distinct enough
01:15:03
that I have to stop and then write something out.
01:15:06
- Yes, that does imply competing brain circuits
01:15:10
for your conscious attention.
01:15:13
- We have colleagues up at Columbia Med
01:15:16
who are known, at least in our circles,
01:15:19
for voice dictating their papers, not writing them out,
01:15:23
but just speaking into a voice recorder.
01:15:26
I've written papers that way.
01:15:27
It doesn't feel quite as natural for me
01:15:31
as writing things out. - Yeah.
01:15:32
- But not because I can go quickly from thought
01:15:35
to language to typing.
01:15:36
I type reasonably fast.
01:15:38
I can touch type now.
01:15:39
I don't think I ever taught my,
01:15:40
I think I taught myself.
01:15:41
I never took a touch typing course.
01:15:43
But it just sort of happened.
01:15:44
Now, I think, my motor system
01:15:45
seems to know where the keys are
01:15:47
with enough accuracy, that it works.
01:15:53
This is remarkable to me that any of us can do this.
01:15:56
But when it comes to writing,
01:15:59
what I've found is that if my rate of thought
01:16:02
and my rate of writing are aligned nicely, things go well.
01:16:07
However, if I'm thinking much faster than I can write,
01:16:11
that's a problem.
01:16:12
And certainly, if I'm thinking more slowly
01:16:15
than I want to write, that's also a problem.
01:16:17
And the solution for me
01:16:19
has been to write with a pen.
01:16:21
I'm in love with these.
01:16:22
And I have no relationship to the company,
01:16:24
at least not now, although if they want to come,
01:16:26
you know, if they want to work with us,
01:16:27
I love these Pilot V5, V7's
01:16:29
because not necessarily because of the ink
01:16:32
or the feel, although I like that as well.
01:16:34
But because of the rate that it allows me to write,
01:16:37
they write very well slowly,
01:16:38
and they write very well quickly.
01:16:40
And so I have this theory,
01:16:43
supported only by my own anecdata,
01:16:46
no peer reviewed study,
01:16:48
that writing by hand is fundamentally different
01:16:53
than typing out information.
01:16:55
Is there any evidence that this motor pathway for writing
01:17:00
is better or somehow different
01:17:04
than the motor pathway for typing?
01:17:06
- Yeah, that's interesting.
01:17:09
And I don't know of any studies.
01:17:11
I have my own personal experience as well,
01:17:13
but trying to put this into the context,
01:17:16
if I had to, you know,
01:17:18
design an experiment to test the hypothesis here that,
01:17:21
you know, to explain your experience and mine,
01:17:23
is that writing by hand,
01:17:26
I would argue, requires a different set of less skills
01:17:32
with the fingers than typing.
01:17:35
So you have to coordinate your fingers more
01:17:38
in opposite directions and so forth with typing,
01:17:42
but also writing by hand requires more arm movement.
01:17:46
And so therefore, I would argue that
01:17:52
the difficulty there could be
01:17:55
in the types of muscles and the fine motor control
01:17:58
you need of those muscles
01:18:00
along with speaking in your brain at the same time.
01:18:02
- So basically, I'm a course, I'm a brute.
01:18:04
So it makes sense that I would have,
01:18:06
a more primitive writing device would work.
01:18:07
- That's right, yes.
01:18:09
But, let me answer this in terms
01:18:13
of my own personal experience, right.
01:18:14
What I find is I can write something faster by hand
01:18:22
for a short period of time, compared to typing.
01:18:25
And that is because I think
01:18:26
I run out of the energy in my arm movements
01:18:30
faster than I run out of muscle energy
01:18:32
in my finger movements.
01:18:35
And I think it takes longer time
01:18:38
for us to write words with our fingers,
01:18:41
because, and in terms of the speech.
01:18:43
So I think your writing,
01:18:46
whether it's by hand or typing and your speech,
01:18:49
they only will align very well
01:18:51
if you can type as fast as you can speak
01:18:54
or write as fast as you can speak in your head.
01:18:56
- I love it.
01:18:57
So what you've done, if I understand correctly,
01:18:59
is created a bridge between thought and writing,
01:19:02
and that bridge is speech.
01:19:04
- That bridge is speech, that's right.
01:19:07
That's right. When you're writing something out,
01:19:09
you're speaking it to yourself.
01:19:11
And if you're speaking faster than you can type,
01:19:13
you've got a problem.
01:19:15
- Interesting.
01:19:16
I do a number of podcast episodes that are not with guests,
01:19:19
but solo episodes.
01:19:20
And as listeners know,
01:19:21
these are very long episodes, often two or more hours.
01:19:24
And we joke around the podcast studio
01:19:27
that I will get locked into a mode of speech
01:19:30
where some of it is more collaborative and anecdotal
01:19:34
and then I'll punch out simple declarative sentences.
01:19:38
I find it very hard to switch from one module to the next.
01:19:42
The thing that I have done
01:19:43
in order to make that transition more fluid
01:19:47
and prep for those podcast episodes
01:19:49
is actually to read the lyrics of songs
01:19:53
and to sing them in my head
01:19:55
as a way of warming up my vocal chords.
01:19:57
But luckily for those around me, when I do that,
01:20:01
I'm not actually singing out loud.
01:20:03
And so this, what you're telling me
01:20:06
supports this idea that even when we are imagining singing
01:20:12
or writing in our mind,
01:20:14
we are exercising our vocal chords.
01:20:16
- You're actually getting little low potentials
01:20:19
of electrical currents reaching your muscles there,
01:20:22
which also means you're exercising
01:20:24
your speech brain circuits too, without actually, you know,
01:20:27
going with the full-blown activity in the muscles.
01:20:29
- Incredible. - Yeah.
01:20:30
And this idea of singing helps you as well.
01:20:36
Even with Parkinson's patients and so forth,
01:20:38
when they want to say something,
01:20:39
singing or listening to music helps them move better.
01:20:41
And the idea there is that the brain circuits for singing,
01:20:45
or let's say the function of the brain circuits for speech
01:20:47
being used for singing first is the more ancestral trait.
01:20:51
And that's why it's easier to do things with singing
01:20:54
sometimes than it is with speaking.
01:20:56
- I love it.
01:20:58
Stutter is a particularly interesting case
01:21:02
and one that every once in a while,
01:21:04
I'll get questions about this from our audience.
01:21:08
Stutter is complicated in a number of ways,
01:21:11
but culturally, and my understanding from these emails
01:21:14
that I receive is that
01:21:15
stutter can often cause people to hide and speak less
01:21:20
because it can be embarrassing.
01:21:21
And we are often not patient with stutter.
01:21:25
We also have the assumption that if somebody's stuttering,
01:21:27
that they're thinking is slow,
01:21:28
but it turns out there are many examples,
01:21:30
historically of people who could not speak well,
01:21:33
but who were brilliant thinkers.
01:21:36
I don't know how well they could write,
01:21:37
but they found other modes of communication.
01:21:41
I realize that you're not a speech pathologist or therapist,
01:21:45
but what is the current neurobiological
01:21:48
understanding of stutter
01:21:49
and, or what's being developed
01:21:51
in terms of treatments for stutter?
01:21:53
- Yeah, so we actually accidentally
01:21:57
came across stuttering in songbirds.
01:22:00
And we've published several papers on this
01:22:03
to try to figure out the neurobiological basis.
01:22:04
The first study we had was a brain area
01:22:08
called the basal ganglio,
01:22:09
or the striatum part of the basal ganglia
01:22:12
involved in coordinating movements,
01:22:14
learning how to make movements,
01:22:16
when it was damaged in a speech-like pathway in these birds,
01:22:22
what we found is that they started to stutter
01:22:25
as the brain region recovered.
01:22:28
And unlike humans,
01:22:30
they actually recovered after three or four months.
01:22:33
And why is that the case?
01:22:34
Because bird brains undergoes new neurogenesis
01:22:38
in a way that human or mammal brains don't.
01:22:41
And it was the new neurons that were coming in
01:22:45
into the circuit, but not quite, you know,
01:22:47
with the right proper activity
01:22:50
was resulting in this stuttering, in these birds.
01:22:54
And after it was repaired,
01:22:55
not exactly the old song came back after the repair,
01:22:59
but still it recovered a lot better.
01:23:02
And it's now known,
01:23:04
they call this neurogenic stuttering in humans,
01:23:09
damage to the basal ganglia
01:23:10
or some type of disruption
01:23:12
to the basal ganglia at a young age,
01:23:14
also causes stuttering in humans.
01:23:16
And even those who are born with stuttering,
01:23:21
it's often the basal ganglia that's disrupted
01:23:24
than some other brain circuit
01:23:26
and we think the speech part of the basal ganglia.
01:23:29
- Can adults who maintain a stutter from childhood
01:23:33
repair that stutter?
01:23:34
- They can repair it with therapy,
01:23:36
with learning how to speak slower,
01:23:39
learning how to tap out a rhythm.
01:23:42
And yeah, I'm not a speech pathologist,
01:23:43
but I started reading this literature
01:23:45
and talking to others, that you know,
01:23:48
colleagues who actually study stuttering.
01:23:50
So yes, there are ways to overcome the stuttering
01:23:54
through, you know, behavioral therapy.
01:23:59
And I think all of the tools out there
01:24:04
have something to do with sensory motor integration,
01:24:07
controlling what you hear with what you output
01:24:11
in a thoughtful controlled way helps reduce the stuttering.
01:24:15
- There are a couple examples from real life
01:24:17
that I want to touch on,
01:24:18
and one is somewhat facetious,
01:24:21
but now I realize, is a serious neurobiological issue,
01:24:26
serious meaning I think interesting.
01:24:28
Which is that every once in a while,
01:24:31
I will have a conversation with somebody
01:24:33
who says the last word of the sentence along with me.
01:24:37
And it seems annoying in some instances,
01:24:40
but I'm guessing this is just a breakthrough
01:24:42
of the motor pattern
01:24:43
that they're hearing what I'm saying very well.
01:24:46
So I'm going to interpret this kindly
01:24:47
and think they're hearing what I'm saying.
01:24:50
They're literally hearing it in their mind
01:24:53
and they're getting that low-level electrical activity
01:24:56
to their throat.
01:24:57
And they're just joining me
01:25:00
in the enunciation of what I'm saying,
01:25:02
probably without realizing it.
01:25:04
Can we assume that that might be the case?
01:25:06
- Well, I wouldn't be surprised so that, you know,
01:25:08
the motor theory of speech perception
01:25:10
where this idea originally came,
01:25:12
what you hear is going through your speech circuit
01:25:15
and then also activating those muscles slightly.
01:25:19
So yes, so one might argue,
01:25:23
okay, is that speech circuit now interpreting
01:25:26
what that person is speaking?
01:25:27
Now, you're listening to me
01:25:29
and is going to finish it off
01:25:30
because it's already going through their brain
01:25:33
and they can predict it?
01:25:34
That would be one theory.
01:25:36
And I don't think the verdict out there is known,
01:25:38
but that's one.
01:25:39
The other is synchronizing turn-taking in the conversation
01:25:47
where you're acknowledging that we understand each other
01:25:52
by finishing off what I say.
01:25:55
And it's almost like a social bonding kind of thing.
01:25:58
The other could be,
01:25:59
I want the person to shut up
01:26:00
so I can speak as well and take that turn.
01:26:03
And each pair of people have a rhythm to their conversation.
01:26:08
And if you have somebody who's over talkative
01:26:10
versus under talkative of vice versa,
01:26:12
that rhythm can be lost in them finishing ideas
01:26:15
and going back and forth.
01:26:16
But I think having something to do with turn-taking,
01:26:20
as well, makes a lot of sense.
01:26:22
- I have a colleague at Stanford who says
01:26:24
that interruption is a sign of interest.
01:26:27
[Erich laughs]
01:26:28
I'm not sure that everyone agrees.
01:26:29
I think it's highly contextual.
01:26:30
- [Erich] Yes.
01:26:31
- But there is this form of a verbal nod
01:26:34
of saying, hmm hmm or things of that sort.
01:26:36
And they're many of these.
01:26:38
And I'm often told by my audience, you know,
01:26:40
that I interrupt my guests and things of that sort.
01:26:43
Oftentimes, I'll just get caught in the natural flow
01:26:45
of the conversation, but. - Right.
01:26:46
Well, I think we've had pretty good turn-taking here,
01:26:49
I hope.
01:26:50
- So far so good. - I feel that way.
01:26:51
- I'm glad you feel that way,
01:26:53
because especially in the context of a discussion
01:26:54
about language. - Yes.
01:26:56
- It seems important.
01:26:59
Texting is a very, very interesting evolution of language
01:27:05
because what you've told us is that we have a thought,
01:27:09
it's translated into language.
01:27:11
It might not be complete sentences,
01:27:13
but texting, I have to imagine this is the first time
01:27:15
in human evolution where we've written with our thumbs.
01:27:18
So I don't know,
01:27:20
it seems more primitive to me than typing with fingers
01:27:22
or writing with hands, but hey,
01:27:23
who am I to judge the evolution of our species
01:27:25
in one direction or the other?
01:27:27
But the shorthand grammatically,
01:27:31
often grammatically deficient incomplete sentence form
01:27:34
of texting is an incredible thing to see.
01:27:38
Early in relationships, romantic relationships,
01:27:41
people will often evaluate the others text
01:27:44
and their ability to use proper grammar
01:27:47
and spelling, et cetera.
01:27:48
This often quickly degrades.
01:27:50
And there's an acceptance
01:27:51
that we're just trying to communicate through shorthand,
01:27:54
almost military like shorthand,
01:27:57
but with internally consistent between people,
01:28:00
but there's no general consensus of what things mean,
01:28:02
but, you know, WTFs and like,
01:28:05
and OMGs and all sorts of things.
01:28:07
- [Erich] Right.
01:28:09
- I wonder sometimes whether or not
01:28:11
we are getting less proficient at speech
01:28:14
because we are not required to write and think
01:28:19
in complete sentences. - Hmm hmm.
01:28:21
- I'm not being judgemental here.
01:28:22
I see this in my colleagues.
01:28:24
I see this in myself.
01:28:25
This is not a judgment of the younger generation.
01:28:29
I also know that slang has existed for decades,
01:28:34
if not hundreds of years.
01:28:36
But I also know that I don't speak the same way
01:28:38
that I did when I was a teenager,
01:28:40
because I've suppressed a lot of that slang,
01:28:42
not because it's inappropriate or offensive,
01:28:45
although some of it was, frankly,
01:28:48
but because it's out of context.
01:28:50
So what do you think's happening to language?
01:28:53
Are we getting better at speaking, worse at speaking?
01:28:56
And what do you think the role of things
01:28:58
like texting and tweeting
01:28:59
and shorthand communication, hashtagging,
01:29:02
what's that doing to the way that our brains work?
01:29:05
- Yeah, I think that,
01:29:08
well, one, in terms of, you know,
01:29:11
measuring your level of sophistication and intelligence
01:29:14
when you say OMG, right.
01:29:16
I think that also could be a cultural thing
01:29:19
that, ah, you belong to the next generation.
01:29:21
If you're an, you know,
01:29:22
or you're being cool,
01:29:23
if you're an older person, you know,
01:29:25
using OMG and other things that the, you know,
01:29:29
younger generation would use.
01:29:31
But if I really think about it clearly,
01:29:36
texting actually has allowed
01:29:39
for more rapid communication amongst people.
01:29:44
I think, without the invention of the phone before then,
01:29:47
or, you know, texting back and forth,
01:29:50
you had to wait days for a letter to show up.
01:29:53
You couldn't call somebody on the phone
01:29:54
and talk as well, you know?
01:29:55
And so this rapid communication
01:29:57
in terms of the rapid communication of writing in this case.
01:30:01
So I think actually,
01:30:04
it's more like a use it or lose it
01:30:06
kind of a thing with the brain.
01:30:10
The more you use a particular brain region or circuit,
01:30:13
the more enhanced.
01:30:14
It's like a muscle.
01:30:16
The more you exercise it, the more healthier it is,
01:30:19
the bigger it becomes and the more space it takes
01:30:21
and the more you lose something else.
01:30:23
So I think texting is not decreasing
01:30:30
the speech prowess,
01:30:32
or the intellectual prowess of speech.
01:30:34
It's converting it and using it a lot in a different way,
01:30:38
in a way that may not be as rich in regular writing,
01:30:43
because you can only communicate so much nuance
01:30:47
in short-term writing,
01:30:49
but whatever is being done,
01:30:53
you got people texting hours and hours
01:30:55
and hours on the phone.
01:30:56
So whatever, your thumb circuit is going to get pretty big,
01:31:00
actually. [laughs]
01:31:02
- I do wonder whether, you know,
01:31:04
many people have lost their jobs based on tweets.
01:31:07
- [Erich] Hmm hmm.
01:31:08
- The short latency between thought and action
01:31:11
and distribution of one's thoughts
01:31:13
is incredible. - Yes.
01:31:15
- And I'm not just talking about people
01:31:20
who apparently would have poor prefrontal top-down control.
01:31:23
This is geek speak by the way,
01:31:25
for people that lack impulse control.
01:31:27
But high-level academics,
01:31:28
I'm not going to point fingers at anyone.
01:31:30
But examples of where you see these tweets and you go,
01:31:33
what were they thinking? - Yep.
01:31:35
- So presumably, there's an optimal strategy
01:31:39
between the thought speech motor pathway,
01:31:44
especially when the motor pathway engages communication
01:31:47
with hundreds of thousands of people
01:31:49
and retweets in particular
01:31:50
and the cut and paste function
01:31:51
and the screenshot function
01:31:53
are often the reason why speech propagates.
01:31:55
- [Erich] Yep.
01:31:56
- So to me, it's a little eerie that,
01:32:00
just that the neural circuitry can do this
01:32:04
and that we are catching up a little bit more slowly
01:32:08
to the technology,
01:32:10
and you've got these casualties of that mismatch.
01:32:13
- I think that's a good adjective used, the casualties,
01:32:19
you know, of what's going on,
01:32:20
because yes, it is the case with texting,
01:32:23
what you're really losing there
01:32:25
is less so the ability to write,
01:32:28
but more the ability to interpret what is being written.
01:32:32
And you can over or under interpret
01:32:33
something that somebody means.
01:32:37
On the flip side of that, you know,
01:32:40
if somebody's writing something very quick,
01:32:43
they could be writing instinctually,
01:32:46
more instinctually, their true meaning,
01:32:49
and they don't have time to modify
01:32:51
and color code what they're trying to say.
01:32:55
And that's what they really feel
01:32:57
and as opposed to saying it in a more nuanced way.
01:33:00
So I think both sides of that casualty are present.
01:33:05
And that's a downturn, you know,
01:33:07
unintended negative consequence of short-term,
01:33:12
I mean, short-word communications.
01:33:14
- Yeah, I agree that this whole phenomenon
01:33:17
could be netting people that normally
01:33:20
would only say these things out loud
01:33:22
once inside the door of their own home.
01:33:24
- Right. - Or not at all.
01:33:25
- [Erich] Right.
01:33:26
- It's an interesting time that we're in.
01:33:28
These are these speech and language and motor patterns.
01:33:31
- So part of the human evolution for language,
01:33:32
I think this is all part of our evolution.
01:33:35
- That's right. - Yeah.
01:33:36
- So for those of you thinking terrible thoughts,
01:33:38
please put them in the world and be a casualty.
01:33:40
And for those of you that are not,
01:33:41
please be very careful with how proficient
01:33:44
your thought to language to motor action goes.
01:33:47
- [Erich] Yes. [laughs] - Maybe the technology companies
01:33:49
should install some buffers, some AI-based buffers.
01:33:52
- Right, that's taking some EEG signals
01:33:54
from your brain while you're texting to say,
01:33:56
okay, this is not a great thought, slow down.
01:34:00
- Right, or this doesn't reflect your best state.
01:34:04
That brings me to
01:34:06
what was going to be the next question anyway,
01:34:08
which is we are quickly moving toward a time
01:34:10
where there will be an even faster transition
01:34:15
from thought to speech, to motor output,
01:34:18
and maybe won't require motor output.
01:34:20
What I'm referring to here
01:34:21
is some of the incredible work of our colleagues,
01:34:24
Eddie Chang at UCSF and others
01:34:26
who are taking paralyzed human beings
01:34:29
and learning to translate the electrical signals
01:34:32
of neurons in various areas,
01:34:33
including speech and language areas,
01:34:35
to computer screens that type out
01:34:37
what these people are thinking.
01:34:38
In other words,
01:34:39
paralyzed people can put their thoughts into writing.
01:34:42
That's a pretty extreme and wonderful example
01:34:45
of recovery of function. - Hmm hmm.
01:34:47
- That is sure to continue to evolve.
01:34:50
But I think we are headed toward a time,
01:34:52
not too long from now
01:34:54
where my thoughts can be translated into words on a page
01:34:58
if I allow that to happen.
01:35:00
- Yeah so, and Eddie Chang's work,
01:35:03
which I admire quite a bit and cite in my papers,
01:35:07
I think he's really one of those at the leading edge
01:35:10
of trying to understand within humans,
01:35:13
the neurobiology of speech.
01:35:15
And he may not say it directly, but you know,
01:35:17
I talked to him about this.
01:35:18
It supports this idea that the speech circuit
01:35:21
and the separate language module,
01:35:23
I don't really think that there's a separation there.
01:35:26
So with that knowledge,
01:35:28
yes, and putting electrodes into human brain
01:35:31
and then translating those electrical signals
01:35:33
to speech currents.
01:35:34
Yeah, we can start to tell what is that person thinking?
01:35:38
Why, because we often think in terms of speech.
01:35:42
And without saying words.
01:35:44
And that's a scary thought.
01:35:46
And now imagine if you can now translate
01:35:49
those into a signal that transmits something wirelessly
01:35:52
and someone from some distant part of the planet
01:35:55
is hearing your speech from a wireless signal
01:35:58
without you speaking.
01:36:00
So probably that won't be done in an ethical way,
01:36:04
who knows, you know?
01:36:06
But I mean, the ethics of doing that probably,
01:36:08
you know, might not happen, but who knows?
01:36:11
We have these songbirds, you know.
01:36:13
If we apply the same technique to them,
01:36:15
we can start to hear what they're singing
01:36:16
in their dreams or whatever,
01:36:18
even though they don't produce sound
01:36:19
so we can find out by testing on them.
01:36:22
- It's coming. - Yes.
01:36:23
- One way or another, it's coming.
01:36:26
For those listening who are interested
01:36:28
in getting better at speaking and understanding languages,
01:36:32
are there any tools that you recommend?
01:36:34
And here again,
01:36:36
I realize you're not a speech therapist,
01:36:37
but here I'm not thinking about
01:36:39
ameliorating any kind of speech deficiency.
01:36:42
I'm thinking, for instance,
01:36:44
do you recommend that people read
01:36:46
different types of writing?
01:36:49
Would you recommend that people learn how to dance
01:36:51
in order to become better at expressing themselves verbally?
01:36:55
You know, and feel free to have some degrees of freedom
01:37:00
in this answer.
01:37:01
These are obviously not peer-reviewed studies
01:37:04
that we're referring to, although there may be,
01:37:07
but I'm struck by the number of things
01:37:10
that you do exceedingly well,
01:37:11
and I can't help but ask,
01:37:13
well, the singing, which I realize it may,
01:37:17
your brother didn't pay me to say this,
01:37:18
may not be quite as good as your brothers yet,
01:37:21
but is getting, you'll surpass him,
01:37:23
I'm guessing at some point.
01:37:24
♪ Getting there ♪
01:37:25
- Getting there.
01:37:26
[both laughing] Exactly, there you go.
01:37:29
You know, should kids learn how to dance
01:37:32
and read hard books and simple books?
01:37:35
What do you recommend?
01:37:36
Should adults learn how to do that?
01:37:38
Everyone wants to know how to keep their brain working better, so to speak.
01:37:41
But also I think people want to be able to speak well
01:37:44
and people want to be able to understand well.
01:37:46
- Yeah, so what I've discovered personally, right,
01:37:50
is that, so when I switched
01:37:52
from pursuing a career in science from a career in dance,
01:37:59
I thought one day I would stop dancing,
01:38:02
but I haven't because I find it fulfilling for me,
01:38:06
you know, just as a life experience.
01:38:09
So ever since I started college,
01:38:11
you know, my late teens and early twenties,
01:38:15
I kept dancing even till this day.
01:38:18
And there've been periods of time,
01:38:19
like during the pandemic
01:38:21
where I slowed down on dancing and so forth.
01:38:24
And when you do that, you realize, okay,
01:38:26
there are parts of your body
01:38:27
where your muscle tone decreases a little bit and somewhat,
01:38:30
or you could start to gain weight.
01:38:32
I somehow don't gain weight that easily.
01:38:34
And I think it's related to my dance,
01:38:35
if that's meaningful to your audience.
01:38:38
But what I found is, you know,
01:38:42
in science, we like to think of a separation
01:38:44
between movement and action and cognition.
01:38:48
And there is a separation for you
01:38:49
between perception and production,
01:38:51
cognition being perception,
01:38:53
production being moving, right.
01:38:55
But if the speech pathways
01:38:57
is next to the movement pathways,
01:38:59
what I discover is by dancing,
01:39:02
it is helping me think.
01:39:04
It is helping keeping my brain fresh.
01:39:07
It's not just moving my muscles,
01:39:09
I'm moving or using the circuitry in my brain
01:39:13
to control a whole big body.
01:39:16
You need a lot of brain tissue to do that.
01:39:18
And so I argue,
01:39:19
if you want to stay cognitively intact into your old age,
01:39:25
you better be moving
01:39:26
and you better be doing it consistently,
01:39:28
whether it's dancing, walking, running,
01:39:31
and also practicing speech,
01:39:34
oratory speech and so forth or singing,
01:39:36
is controlling the brain circuits
01:39:38
that are moving your facial musculature.
01:39:40
And it's going to keep your cognitive circuits also in tune.
01:39:44
And I'm convinced of that from my own personal experience.
01:39:47
- Yeah, for me, long, slow runs
01:39:50
are a wonderful way to kind of loosen the joints
01:39:54
for long podcasts, especially the solo podcast,
01:39:58
which can take many hours to record.
01:40:00
And without those long slow runs,
01:40:03
at least the day before, or even the morning of,
01:40:05
I don't think I could do it, at least not as well.
01:40:08
- All right, well, you're experiencing something similar.
01:40:10
So that's an N of two.
01:40:11
- Yeah, N of two.
01:40:13
I'm tempted to learn how to dance
01:40:15
because there are a lot of reasons to learn how to dance.
01:40:18
- [Erich] Yes.
01:40:19
- And people can use their imagination.
01:40:21
I definitely want to get the opportunity
01:40:23
to talk about some of the newer work
01:40:25
that you're into right now about genomes of animals.
01:40:30
As you perhaps can tell
01:40:32
from my quite authentic facial expressions,
01:40:35
I adore the animal kingdom.
01:40:37
I just find it amazing.
01:40:39
And it's the reason I went into neurobiology, in part.
01:40:42
So many animals, so many different patterns of movement,
01:40:45
so many body plans, so many specializations,
01:40:49
what is the value of learning the genomes
01:40:51
of all these animals?
01:40:53
You know, I can think of conservation-based, you know,
01:40:58
schemes of trying to preserve these precious critters,
01:41:02
but what are you doing with the genomes of these animals?
01:41:04
What do you want to understand about their brain circuits?
01:41:06
And how does this relate to some of the discussion
01:41:08
we've have been having up until now?
01:41:09
- Yeah, I've gotten very heavily involved in genomes,
01:41:14
you know, not just to get at an individual gene
01:41:16
involved in the trade of interest, like spoken language,
01:41:21
but I realize that, you know,
01:41:24
nature has done natural experiments for us
01:41:28
with all these species out there with these various traits
01:41:31
and the one that I'm studying, like vocal learning,
01:41:33
has evolved multiple times among the animal kingdom,
01:41:36
even if it's rare, it's multiple times.
01:41:39
And the similar genetic changes occurred in those species.
01:41:45
But to find out what those genetic changes
01:41:48
that are associated with the trait of interests
01:41:50
and not some other trait like flying in birds,
01:41:53
as opposed to singing,
01:41:56
you have to do what's called comparative genomics,
01:41:58
even in the context of studying the brain.
01:42:01
And you need their genomes to compare the genomes
01:42:04
and do like a GWA, a genome-wide association study,
01:42:07
not just within a species like humans, but across species.
01:42:10
And so you need good genomes to do that.
01:42:13
Plus, I've discovered I'm also interested
01:42:16
in evolution and origins.
01:42:17
How did these species come about a similar trait
01:42:22
in last, you know, 300 million years or 60 million years,
01:42:25
depending who you're talking about.
01:42:27
And you need a good phylogenetic tree to do that,
01:42:30
and to get a good phylogenetic tree,
01:42:32
you also need their genomes.
01:42:34
And so, because of this,
01:42:35
I got involved in large scale consortiums
01:42:38
to produce genomes of many different species,
01:42:41
including my vocal learners
01:42:43
and their closest relatives that I'm fans of.
01:42:47
But I couldn't convince the funding agencies
01:42:49
to gimme the money to do that just for my own project.
01:42:52
But when you get a whole bunch of people together
01:42:55
who want to study various traits,
01:42:57
you know, heart disease,
01:42:59
or loss and gain in flight and so forth,
01:43:03
suddenly we all need lots of genomes to do this.
01:43:06
And so now that got me into a project
01:43:09
to lead something called the Vertebrate Genomes Project
01:43:12
to eventually sequence all 70,000 species on the planet.
01:43:16
And Earth BioGenome Project,
01:43:18
all eukaryotic species, all two million of them.
01:43:23
And to no longer be in a situation
01:43:26
where I wish I had this genome.
01:43:28
Now we have the genetic code of all life on the planet,
01:43:32
create a database of all their traits
01:43:34
and find the genetic association
01:43:36
with everything out there
01:43:38
that makes a difference from one species to another.
01:43:42
One more piece of the equation to add to this story
01:43:47
is what I didn't realize as a neuroscientist
01:43:50
were that these genomes are not only incomplete,
01:43:55
but have lots of errors in them,
01:43:58
false gene duplications,
01:44:00
where mother and father chromosomes
01:44:01
were so different from each other,
01:44:03
that the genome algorithm,
01:44:05
assembly algorithms treated them as two different genes
01:44:08
in this part of the chromosome.
01:44:10
So there are a lot of these false duplicated genes
01:44:12
that people thought were real, but were not
01:44:16
or missing parts of the genome
01:44:18
because the enzymes used to sequence the DNA
01:44:21
couldn't get through this regulatory region
01:44:23
that folded up on itself
01:44:26
and made it hard to sequence.
01:44:28
And so I ended up in these consortiums
01:44:32
pulling in the genome sequencing companies,
01:44:35
developing the technology to work with us
01:44:38
to improve it further
01:44:40
and the computer science guys
01:44:42
who then take that data and that technology,
01:44:44
and try to make the complete genomes
01:44:46
and make the algorithms better
01:44:48
to produce what we now just did recently
01:44:51
led by an effort by Adam Phillippy
01:44:53
is the first human Telomere-to-Telomere Genome
01:44:56
with no errors, all complete, no missing sequence.
01:45:00
And now we're trying to do the same thing with vertebrates
01:45:04
and other species. Actually, we improved that before we got to the,
01:45:07
what we call telomere-to-telomere,
01:45:09
from one end of the chromosome to another.
01:45:11
And what we're discovering
01:45:13
is in this dark matter of the genome
01:45:15
that was missing before,
01:45:17
turns out to be some regulatory regions
01:45:20
that are specialized in vocal learning species
01:45:23
and we think are involved in developing speech circuits.
01:45:26
- Incredible.
01:45:27
Well, so much to learn.
01:45:29
And we're going to learn from this information.
01:45:32
Early on in these genome projects and connectome projects,
01:45:35
I confess I was a little bit cynical.
01:45:37
This would be about 10, 15 years ago.
01:45:39
I thought, okay, necessary,
01:45:40
but not sufficient for anything.
01:45:42
We need it, but it's not clear what's going to happen,
01:45:44
but you just gave a very clear example
01:45:46
of what we stand to learn from this kind of information.
01:45:49
And I know from the conservation side,
01:45:52
there's a huge interest in this
01:45:53
because even though we would prefer
01:45:55
to keep all these species alive rather than clone them,
01:45:58
these sorts of projects do offer the possibility
01:46:01
of potentially recreating species that were lost.
01:46:04
- [Erich] Right.
01:46:05
- Due to our own ignorance or missteps, or what have you.
01:46:09
- Yes, and along those lines,
01:46:13
because, you know, we got involved in genomics,
01:46:16
some of the first species that we start working on
01:46:19
are critically endangered species.
01:46:21
And I'm doing that not only for, you know,
01:46:25
perspectives to understand their brains
01:46:27
and the genes involved in their brain function,
01:46:29
but I feel like it's a moral duty.
01:46:31
So the fact that now I become more involved
01:46:34
in genome biology
01:46:36
and have helped develop these tools
01:46:37
for more complete genomes,
01:46:39
let's capture their genetic code now, before they're gone.
01:46:43
And could we use that information
01:46:46
to resurrect the species at some future time,
01:46:49
if not in my lifetime,
01:46:50
in some time in the future and generations ahead of us.
01:46:54
And so, in anticipation of that,
01:46:59
we create a database, we call the GenomeArk
01:47:03
and no pun intended like Noah's Ark,
01:47:05
meant to store the genetic code
01:47:08
as complete genome assemblies as possible
01:47:10
for all species on the planet
01:47:13
to be used for basic science,
01:47:14
but also some point in the future.
01:47:17
And because of that,
01:47:19
funding agencies or private foundations
01:47:21
that are interested in conservation
01:47:23
have been reaching out to me now, a neuroscientist,
01:47:26
to help them out in producing high quality genome data
01:47:30
of endangered species that they can use,
01:47:32
like Revive & Restore,
01:47:34
who want to resurrect the passenger pigeon
01:47:36
or Colossal, who wants to resurrect the wooly mammoth.
01:47:39
And so we're producing high quality genomes
01:47:41
for these groups, for the conservation projects.
01:47:44
- What a terrific and important initiative.
01:47:47
And I think for those listening today,
01:47:49
they now certainly understand the value
01:47:53
of deeply understanding the brain structures
01:47:56
and genomes of different species.
01:47:58
Because I confess,
01:48:00
even though I knew a bit of the songbird literature,
01:48:02
and I certainly understand
01:48:03
that humans have speech and language,
01:48:05
I had no idea that there was so much convergence
01:48:08
of function, structure and genomes.
01:48:10
And to me, you know, I feel a lot more like
01:48:13
an ape than I do a songbird. - Right.
01:48:16
- And yet here we are with the understanding
01:48:18
that there's a lot more similarity
01:48:20
between songbirds and humans
01:48:22
than I certainly ever thought before.
01:48:24
- Yeah, something very close to home for us humans,
01:48:27
I can give you an example of is evolution of skin color.
01:48:32
And skin color, we use it unfortunately,
01:48:35
for racism and so forth.
01:48:37
We use it also for good things to let in more light
01:48:39
or let out less light depending on the part of the planet,
01:48:42
you know, our population evolved in.
01:48:45
And most people think dark-skinned people
01:48:47
all evolved from the same dark-skinned person
01:48:49
and light-skinned people all evolved
01:48:51
from the same light-skinned person,
01:48:52
but that's not the case.
01:48:54
Dark skin and light skin amongst humans
01:48:57
has evolved independently multiple times,
01:49:00
like in, you know, the Pacific islands versus Africa.
01:49:03
And it's just depending on the angle
01:49:06
of light hitting the Earth
01:49:08
as to whether you need more protection from the sun
01:49:10
or less protection,
01:49:12
that's also associated with Vitamin D synthesis in the skin.
01:49:16
And so, and each time,
01:49:22
where darker or lighter skin evolved independently,
01:49:26
it hit the same gene, you know,
01:49:28
the mela [finger snaps].
01:49:30
- Melanin. - Melanin receptors.
01:49:32
That's right, yes, yeah.
01:49:33
Genes that are involved in melanin in formation.
01:49:37
And so those genes evolve some of the same mutations,
01:49:41
even in different species.
01:49:42
It's not just humans.
01:49:44
In equatorial regions, they are darker-skinned animals
01:49:48
than going away from the equator.
01:49:50
- Oh, right, I think of Arctic foxes
01:49:52
and things of that sort. - Yep, that's right.
01:49:53
That's right, polar bears, you know,
01:49:56
and so some of the same genes are used
01:50:00
in evolutionary perspective to evolve in a similar way
01:50:03
within and across species.
01:50:05
- Incredible. - Yeah.
01:50:06
And that's same thing happening in the brain too.
01:50:08
Language is no exception.
01:50:09
- Well, I have to say,
01:50:10
as somebody who is a, you know, career neuroscientist,
01:50:14
but as I mentioned several times now,
01:50:15
who also adores the animal kingdom,
01:50:18
but is also obsessed with speech and language,
01:50:23
at a distance not as a practitioner of music and dance,
01:50:28
this has been an incredible conversation
01:50:31
and opportunity for me to learn.
01:50:32
And I know I speak for a tremendous number of people
01:50:35
and I just really want to say,
01:50:36
thank you for joining us today.
01:50:38
You are incredibly busy.
01:50:39
It's clear from your description of your science
01:50:42
and your knowledge base,
01:50:43
that you are involved in a huge number of things,
01:50:46
very busy, so thank you for taking the time
01:50:48
to speak to all of us.
01:50:50
Thank you for the work that you're doing,
01:50:52
both on speech and language,
01:50:53
but also this important work on genomes
01:50:55
and conservation of endangered species and far more.
01:51:00
And I have to say,
01:51:02
if you would agree to come back
01:51:03
and speak to us again sometime,
01:51:04
I'm certain that if we were to sit down even six months
01:51:07
or a year from now, there's going to be a lot more to come.
01:51:08
- Yeah, we have some things cooking
01:51:10
and thank you for inviting me here
01:51:13
to get the word out to the community
01:51:16
of what's going on in the science world.
01:51:18
- Well, we're honored and very grateful to you, Erich.
01:51:20
Thank you.
01:51:21
- You're welcome.
01:51:22
- Thank you for joining me today for my discussion
01:51:24
with Dr. Erich Jarvis.
01:51:25
If you'd like to learn more about his laboratory's work,
01:51:28
you can go to Jarvis Lab, spelled J-A-R-V-I-S lab,
01:51:32
all one word, jarvislab.net.
01:51:35
And there you can learn about all the various studies
01:51:37
taking place in his laboratory,
01:51:38
as well as some of the larger overarching themes
01:51:41
that are driving those studies,
01:51:42
including studies on human genomics and animal genomics
01:51:45
that surely are going to lead
01:51:47
to the next stage discoveries
01:51:49
of how we learn and think about,
01:51:52
and indeed use language.
01:51:53
If you're learning from and or enjoying this podcast,
01:51:56
please subscribe to our YouTube channel.
01:51:58
That's a simple zero cost way to support us.
01:52:00
Please also subscribe to the podcast on Spotify and Apple.
01:52:03
And on both Spotify and Apple,
01:52:05
you have the opportunity to leave us
01:52:07
up to a five star review.
01:52:09
If you have questions or comments or suggestions
01:52:11
about topics you'd like us to cover,
01:52:12
or guests you'd like us to interview
01:52:13
on the Huberman Lab Podcast,
01:52:15
please put those in the comment section on YouTube.
01:52:18
We do read all those comments
01:52:19
and we do take them to heart.
01:52:21
Please also check out the sponsors
01:52:22
mentioned at the beginning of today's podcast.
01:52:24
And check out Momentous supplements,
01:52:26
our new partners in the supplement space.
01:52:28
And check out Athletic Greens.
01:52:30
That's the best way to support this podcast.
01:52:32
If you're not already following us on social media,
01:52:34
please do so.
01:52:36
We are hubermanlab on Twitter,
01:52:37
and we are also hubermanlab on Instagram.
01:52:39
In both places, I cover science and science-related tools,
01:52:43
some of which overlap with the content
01:52:44
of the Huberman Lab Podcast,
01:52:45
but much of which is unique from the content covered
01:52:48
on the Huberman Lab Podcast.
01:52:49
Again, that's hubermanlab on Instagram
01:52:51
and hubermanlab on Twitter.
01:52:53
Please also check out our Neural Network monthly newsletter.
01:52:55
This is a newsletter that has summaries of podcast episodes.
01:52:59
It also includes a lot of actionable protocols.
01:53:01
It's very easy to sign up for the newsletter.
01:53:03
You go to hubermanlab.com, click on the menu,
01:53:05
go to newsletter.
01:53:07
You supply your email,
01:53:08
but we do not share your email with anybody.
01:53:10
We have a very clear and rigorous privacy policy,
01:53:12
which is we do not share your email with anybody.
01:53:15
And the newsletter comes out once a month
01:53:17
and it is completely zero cost.
01:53:19
Again, just go to hubermanlab.com
01:53:21
and go to the Neural Network Newsletter.
01:53:23
I'd also like to point out
01:53:24
that the Huberman Lab Podcast has a clips channel.
01:53:27
So these are brief clips anywhere from three to 10 minutes,
01:53:31
that encompass single concepts and actionable protocols
01:53:35
related to sleep, to focus,
01:53:36
interviews with various guests.
01:53:38
We talk about things like caffeine,
01:53:39
when to drink caffeine relative to sleep,
01:53:42
alcohol, when and how,
01:53:43
and if anyone should ingest it relative to sleep,
01:53:46
dopamine, serotonin, mental health, physical health,
01:53:49
and on and on, all the things that relate to the topics
01:53:51
most of interest to you.
01:53:53
You can find that easily by going to YouTube,
01:53:55
look for Huberman Lab Clips in the search area,
01:53:58
and it will take you there, subscribe,
01:54:00
and we are constantly updating those with new clips.
01:54:02
This is especially useful, I believe,
01:54:04
for people that have missed some of the earlier episodes,
01:54:06
or you're still working through the back catalog
01:54:07
of Huberman Lab Podcast,
01:54:09
which admittedly can be rather long.
01:54:11
And last, but certainly not least,
01:54:13
thank you for your interest in science.
01:54:15
[lively music]

Description:

My guest this episode is Dr. Erich Jarvis, PhD—Professor and the Head of the Laboratory of Neurogenetics of Language at Rockefeller University and Investigator with the Howard Hughes Medical Institute (HHMI). Dr. Jarvis' research spans the molecular and genetic mechanisms of vocal communication, comparative genomics of speech and language across species and the relationship between speech, language and movement. We discuss the unique ability of humans (and certain animal species) to learn and communicate using complex language, including verbal speech production and the ability to interpret both written and spoken language. We also discuss the connections between language, singing and dance and why song may have evolved before language. Dr. Jarvis also explains some of the underlying biological and genetic components of stutter/speech disorders, non-verbal communication, why it's easiest to learn a language as a child and how individuals can learn multiple languages at any age. This episode ought to be of interest to everyone interested in the origins of human speech, language, music and culture and how newer technology, such as social media and texting, change our brains. Thank you to our sponsors AG1 (Athletic Greens): https://athleticgreens.com/huberman InsideTracker: https://info.insidetracker.com/huberman ROKA: https://roka.com/huberman LMNT: https://partners.drinklmnt.com/free-gift-with-purchase?rfsn=6327528.ecaabe8&rfsn_cn=EXCLUSIVE+GIFT+FOR+THE+HUBERMAN+LAB+COMMUNITY Supplements from Momentous https://www.livemomentous.com/huberman Social & Website Instagram: https://www.facebook.com/unsupportedbrowser Twitter: https://twitter.com/hubermanlab Facebook: https://www.facebook.com/unsupportedbrowser TikTok: https://www.tiktok.com/@hubermanlab LinkedIn: https://www.linkedin.com/in/andrew-hu... Website: https://www.hubermanlab.com/ Newsletter: https://www.hubermanlab.com/newsletter Dr. Erich Jarvis Dr. Erick Jarvis' Lab: https://www.jarvislab.net/ Rockefeller University: https://www.rockefeller.edu/our-scientists/heads-of-laboratories/1159-erich-d-jarvis/ Google Scholar: https://scholar.google.com/citations?user=cI-fi9MAAAAJ Twitter: https://twitter.com/erichjarvis Instagram: https://www.facebook.com/unsupportedbrowser LinkedIn: https://www.linkedin.com/in/erich-jarvis-ba73624 Other Resources: Earth Biogenome Project: https://www.earthbiogenome.org/ GenomeArk: https://vgp.github.io/genomeark/ Timestamps 00:00:00 Dr. Erich Jarvis & Vocal Communication 00:03:43 Momentous Supplements 00:04:36 InsideTracker, ROKA, LMNT 00:08:01 Speech vs. Language, Is There a Difference? 00:10:55 Animal Communication, Hand Gestures & Language 00:15:25 Vocalization & Innate Language, Evolution of Modern Language 00:21:10 Humans & Songbirds, Critical Periods, Genetics, Speech Disorders 00:27:11 Innate Predisposition to Learn Language, Cultural Hybridization 00:31:34 Genes for Speech & Language 00:35:49 Learning New or Multiple Languages, Critical Periods, Phonemes 00:41:39 AG1 (Athletic Greens) 00:42:52 Semantic vs. Effective Communication, Emotion, Singing 00:47:32 Singing, Link Between Dancing & Vocal Learning 00:52:55 Motor Theory of Vocal Learning, Dance 00:55:03 Music & Dance, Emotional Bonding, Genetic Predispositions 01:04:11 Facial Expressions & Language, Innate Expressions 01:09:35 Reading & Writing 01:15:13 Writing by Hand vs. Typing, Thoughts & Writing 01:20:58 Stutter, Neurogenetics, Overcome Stutter, Conversations 01:26:58 Modern Language Evolution: Texting, Social Media & the Future 01:36:26 Movement: The Link to Cognitive Growth 01:40:21 Comparative Genomics, Earth Biogenome Project, Genome Ark, Conservation 01:48:24 Evolution of Skin & Fur Color 01:51:22 Dr. Erich Jarvis, Zero-Cost Support, YouTube Feedback, Spotify & Apple Reviews, Momentous Supplements, AG1 (Athletic Greens), Instagram, Twitter, Neural Network Newsletter, Huberman Lab Clips The Huberman Lab Podcast is for general informational purposes only and does not constitute the practice of medicine, nursing or other professional health care services, including the giving of medical advice, and no doctor/patient relationship is formed. The use of information on this podcast or materials linked from this podcast is at the user's own risk. The content of this podcast is not intended to be a substitute for professional medical advice, diagnosis, or treatment. Users should not disregard or delay in obtaining medical advice for any medical condition they may have and should seek the assistance of their health care professionals for any such conditions. Title Card Photo Credit: Mike Blabac - https://www.blabacphoto.com/

Preparing download options

popular icon
Popular
hd icon
HD video
audio icon
Only sound
total icon
All
* — If the video is playing in a new tab, go to it, then right-click on the video and select "Save video as..."
** — Link intended for online playback in specialized players

Questions about downloading video

mobile menu iconHow can I download "Dr. Erich Jarvis: The Neuroscience of Speech, Language & Music | Huberman Lab Podcast #87" video?mobile menu icon

  • http://unidownloader.com/ website is the best way to download a video or a separate audio track if you want to do without installing programs and extensions.

  • The UDL Helper extension is a convenient button that is seamlessly integrated into YouTube, Instagram and OK.ru sites for fast content download.

  • UDL Client program (for Windows) is the most powerful solution that supports more than 900 websites, social networks and video hosting sites, as well as any video quality that is available in the source.

  • UDL Lite is a really convenient way to access a website from your mobile device. With its help, you can easily download videos directly to your smartphone.

mobile menu iconWhich format of "Dr. Erich Jarvis: The Neuroscience of Speech, Language & Music | Huberman Lab Podcast #87" video should I choose?mobile menu icon

  • The best quality formats are FullHD (1080p), 2K (1440p), 4K (2160p) and 8K (4320p). The higher the resolution of your screen, the higher the video quality should be. However, there are other factors to consider: download speed, amount of free space, and device performance during playback.

mobile menu iconWhy does my computer freeze when loading a "Dr. Erich Jarvis: The Neuroscience of Speech, Language & Music | Huberman Lab Podcast #87" video?mobile menu icon

  • The browser/computer should not freeze completely! If this happens, please report it with a link to the video. Sometimes videos cannot be downloaded directly in a suitable format, so we have added the ability to convert the file to the desired format. In some cases, this process may actively use computer resources.

mobile menu iconHow can I download "Dr. Erich Jarvis: The Neuroscience of Speech, Language & Music | Huberman Lab Podcast #87" video to my phone?mobile menu icon

  • You can download a video to your smartphone using the website or the PWA application UDL Lite. It is also possible to send a download link via QR code using the UDL Helper extension.

mobile menu iconHow can I download an audio track (music) to MP3 "Dr. Erich Jarvis: The Neuroscience of Speech, Language & Music | Huberman Lab Podcast #87"?mobile menu icon

  • The most convenient way is to use the UDL Client program, which supports converting video to MP3 format. In some cases, MP3 can also be downloaded through the UDL Helper extension.

mobile menu iconHow can I save a frame from a video "Dr. Erich Jarvis: The Neuroscience of Speech, Language & Music | Huberman Lab Podcast #87"?mobile menu icon

  • This feature is available in the UDL Helper extension. Make sure that "Show the video snapshot button" is checked in the settings. A camera icon should appear in the lower right corner of the player to the left of the "Settings" icon. When you click on it, the current frame from the video will be saved to your computer in JPEG format.

mobile menu iconWhat's the price of all this stuff?mobile menu icon

  • It costs nothing. Our services are absolutely free for all users. There are no PRO subscriptions, no restrictions on the number or maximum length of downloaded videos.