Science-Based Mental Training & Visualization for Improved Learning
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Mental training and visualization are scientifically validated tools for accelerating learning across diverse domains, including music, mathematics, sports, and motor skills. This process relies fundamentally on neuroplasticity—the brain's ability to reorganize itself by forming new neural connections in response to experience—which occurs through two primary forms: developmental plasticity during early life and adult self-directed adaptive plasticity. While the popular notion that imagining an event makes it real is false, there exists a significant equivalence between imagined experiences and actual perception or action; however, mental training does not replace physical practice but rather complements it to enhance speed and accuracy. Crucially, effective neuroplastic change requires two specific conditions: focused attention on the task at hand, which triggers necessary chemical signals like norepinephrine and epinephrine indicating a need for adaptation, followed by deep rest, particularly sleep, where the actual rewiring of neural connections takes place. The efficacy of mental training is governed by several key principles derived from systematic reviews and experimental studies. Visualization sessions should be brief, simple, and repeated frequently within short epochs lasting 5 to 15 seconds per trial, with a total session count between 50 and 75 repetitions performed three to five times weekly. To maximize neural engagement during visualization, individuals are encouraged to move their eyes in the direction of the imagined object or action behind closed eyelids, mimicking real-world eye movements that activate corresponding brain circuits. Furthermore, mental training is most effective when applied to skills where one has already demonstrated some proficiency; it excels at increasing the frequency and accuracy of successful performance rather than teaching entirely new motor sequences from scratch. For instance, if a golfer currently hits the ball correctly only 10% of the time, visualization can help raise that success rate significantly once they have mastered the basic swing physically. When comparing physical training to mental training, research consistently shows that real-world practice yields greater improvements per hour than imagined practice alone; however, mental training remains superior to no training at all and is invaluable for maintaining skills during injury or recovery from traumatic brain injuries. A notable exception occurs in tasks requiring inhibition of action, such as "stop signal" tests where the goal is to withhold a response rather than execute one correctly. In these scenarios involving error suppression, combining physical practice with mental visualization produces superior results compared to either method used independently. Additionally, individuals vary naturally in their ability to visualize; those with aphantasia (an inability to generate visual imagery) or synesthesia (blending senses like hearing colors) can still benefit from mental training protocols, though the specific mechanisms may differ. Studies indicate that people with aphantasia often exhibit features associated with autism spectrum conditions, yet this does not preclude their ability to improve through focused attention and repetition in other cognitive domains. Ultimately, the goal of implementing these techniques is to build robust neural circuits for long-term retention without forgetting skills over time. While physical training should be prioritized when possible due to its higher efficiency per hour, mental visualization serves as a powerful adjunct that allows learners to refine execution, reduce errors, and maintain abilities during periods where physical practice is impossible. The protocols emphasize consistency in repetition rather than perfection; minor drifts or imperfections during the 15-second epochs do not negate the benefits of consistent engagement with the material. By integrating brief, repeated mental rehearsals with adequate sleep and real-world application, individuals can leverage neuroplasticity to achieve lasting improvements in both cognitive tasks like public speaking and motor skills like athletic performance, ensuring that learned information remains accessible for extended periods without degradation.
Read the full video transcript
Welcome to the Huberman Lab podcast,
where we discuss science and
science-based tools for everyday life.
I'm Andrew Huberman, and I'm a professor
of neurobiology and ophthalmology at
Stanford School of Medicine. Today, we
are discussing mental training and
visualization.
Mental training and visualization is a
fascinating process that has been shown
over and over again in now hundreds of
studies to improve our ability to learn
anything. When I say anything, I mean
the ability to learn music, the ability
to learn and perform mathematics, the
ability to learn and perform motor
skills in sport, in dance, across
essentially all domains. The other
incredible thing about mental training
and visualization is that as you'll soon
see when you go into the literature,
that is the scientific studies on mental
training and visualization, you quickly
realize that it does not take a lot of
mental training and visualization in
order to get better at anything.
However, that mental training and
visualization has to be performed in a
very specific way. And today, we will
discuss exactly how to do mental
training and visualization in the
specific ways that allow it to
complement the actual performance of a
motor or cognitive skill to allow you to
learn more quickly, and to consolidate,
that is to keep that information in mind
and body so that you can perform those
cognitive tasks, music tasks, motor
tasks, etc.
for long periods of time without ever
forgetting how to do them. All of mental
training and visualization
relies on what I consider really the
holy grail of our brain and nervous
system, and that's neuroplasticity.
Neuroplasticity is our nervous system,
which of course includes the brain, the
spinal cord, and all the connections
between the brain and spinal cord, and
the organs and tissues of the body, and
then all the neural connections back
from the organs and tissues of the body
to the brain and spinal cord. So, the
whole thing in both directions
has the ability to change in response to
experience in ways that are adaptive,
that is that allows us to do things that
we could not do before and by doing
those things or by being able to perform
those mental operations, we can do
better in the world that we live in. We
can perform new tasks, we can
think new thoughts, we can come up with
novel solutions to pre-existing problems
that before really vexed us and that we
couldn't overcome. All of that is
considered neuroplasticity. So, today
what I'm going to cover is a brief
summary of what neuroplasticity is, that
is how it occurs in the brain and body.
This is extremely important to
understand if you're going to use mental
training and visualization. Then I'm
going to talk about what happens in our
brain and body when we do mental
visualization in a dedicated way. Many
people have heard perhaps that when you
imagine something happening that your
brain doesn't know the difference
between that imagination of the thing
happening and the real thing happening.
Turns out that is not true. It is simply
not true. However, there is somewhat of
an equivalence between a real experience
and an imagined experience. And we'll
talk about the difference between those
and how that can be leveraged in order
to get the most out of mental training
and visualization. Then I will cover
exactly which types of mental training
and visualization work best across all
domains, meaning for music learning,
mathematics,
solving puzzles, motor learning, sports
performance, etc., etc. To really allow
you a template in which you can plug in
or designate what you're going to do
each day for a brief period of time in
order to accelerate your learning in
whatever you choose.
And then I'm going to go into a bit of
what happens in the brains of different
types of people. Uh these different
types of people that I'm referring to
are people who have more or less of a
natural ability to imagine things and
visualize them because it turns out that
we vary tremendously from one individual
to the next in terms of our ability to
mentally visualize and imagine things
and our ability to get better at that
over time. And the good news is anyone
can get better at mental training and
visualization in ways that can serve
them well. I'll also briefly touch on
the fact that certain people, in
particular people on the autism
spectrum, as well as people with
synesthesias, which is the combining of
different perceptual experiences. So,
you may be one of these people or you
may have heard of people that, for
instance, when they think of a number,
they also just naturally, spontaneously
think of a color and vice versa. We'll
talk about how that relates to mental
imagery and visualization and the
creative process and problem solving in
general.
And then finally, what I'll do is I'll
recap mental training and visualization
from the standpoint of how best to apply
mental training and visualization
according to specific challenges. Things
like challenges with public speaking or
challenges with sports performance or
challenges with test taking performance.
Challenges with essentially anything
that will allow you to build specific
mental training and visualization
practices that are brief, that are
supported by neuroscience studies, and
that are highly effective. Before we
begin, I'd like to emphasize that this
podcast is separate from my teaching and
research roles at Stanford. It is,
however, part of my desire and effort to
bring zero-cost consumer information
about science and science-related tools
to the general public. In keeping with
that theme, I'd like to thank the
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to save $150 at checkout. Let's talk
about mental training and visualization.
Now, perhaps surprisingly, mental
training and visualization has been
studied since the late 1800s. There's
actually a paper published in 1880 by
Galton called the statistics of mental
imagery.
So, long ago, people were quantifying
and trying to understand how is it that
people come up with mental images and
how they can apply that to learning
things more quickly and more stably over
time.
Now,
as I mentioned earlier, mental training
and visualization relies on a process
that we call neuroplasticity.
Neuroplasticity is a term that many
people have heard and encompasses many
different things.
So, broadly speaking, neuroplasticity
includes developmental plasticity, which
is the sort of plasticity that occurs
between about birth and age 25, and that
can be summarized very easily as passive
plasticity. In other words,
the sorts of changes that happen in
one's nervous system simply by engaging
in the world and experiencing life as a
child, as a young adult, as an
adolescent, and as a 22, 23,
24-year-old, etc. Now, of course, of
course, of course, it is not the case
that on your 25th birthday, you close
out passive developmental plasticity and
start engaging in the other type of
neuroplasticity, which is adult
neuroplasticity. It's a gradual tapering
off of developmental plasticity that
occurs between age 0 and 25, and for
some people might occur somewhere around
26, for other people around 23.
When we say 25, we're really just
talking about the average age in which
passive plasticity tapers off. However,
starting fairly early in adolescence and
extending all the way out into one's 80s
or 90s or 100s, should one live that
long,
is the other form of neuroplasticity,
which is adult neuroplasticity.
Adult neuroplasticity is very different
than developmental plasticity because it
is the sort of plasticity that one can
direct towards one's own specific desire
learning. So, if we wanted to get a
little bit technical here for sake of
clarity, not for sake of confusion, we
would say adult plasticity is really
about self-directed adaptive plasticity.
And the reason we call it that as
opposed to something else, or simply
adult plasticity, is that there are many
different forms of neuroplasticity.
There is, for instance, maladaptive
neuroplasticity that occurs if one gets
a really hard head hit and concussion,
there will be changes to the brain and
nervous system, but those changes to the
brain and nervous system do not allow it
to perform better. In fact, it often
impairs the brain and nervous system's
ability to function and therefore is
maladaptive. So, I don't want to get
overly wordy with a number of different
terms here, but I do think it's
important to understand that we have
developmental plasticity, again, in
which the brain and nervous system
changes simply in response to
experiencing specific things for better
or worse, and there's adult
self-directed adaptive plasticity in
which one can direct specific changes in
terms of learning things
cognitively or learning things in terms
of motor function, so sport, dance,
etc., or combination of the two.
Now, just to really clarify what I mean
by developmental versus self-directed
adaptive plasticity, I mentioned that
self-directed adaptive plasticity
actually can start in adolescence,
right? Even though there's ongoing
developmental plasticity. I mean, let's
be really direct. The brain of a
14-year-old is very different than the
brain of that same individual when that
person is 21
because there's ongoing developmental
plasticity. However, starting at about
adolescence, we can all start to decide
what it is that we want to learn and
engage in self-directed adaptive
plasticity. Now, the way to engage
self-directed adaptive plasticity,
regardless of whether or not you're a
13-year-old, 14-year-old, or you're a
90-year-old, or anywhere in between, is
that it requires two things.
The first thing it requires is focused,
dedicated attention to the thing that
you're trying to learn. That's the first
step, and that actually triggers a
number of different chemical and
electrical processes in the brain that
are often associated with agitation and
frustration. Believe it or not, the
agitation and frustration is a
reflection of the release of specific
chemicals, in particular norepinephrine
and epinephrine, also called
noradrenaline and adrenaline in the
brain and body, that creates this
discomfort and this heightened level of
alertness and attention that many of us
don't like and tend to back away from,
but it is exactly that chemical, or I
should say neurochemical milieu, which
signals to the neurons, the nerve cells
in the brain and elsewhere in the body,
that something needs to change. Because
if you think about it,
if you can do something perfectly, or if
you try and do something and it doesn't
cause any neurochemical change in your
brain and body, well, then there's no
reason for your brain and its
connections with the body to change in
any particular way. Okay? So, you need
focused, dedicated attention to the
thing that you're trying to learn. It's
often accompanied by agitation,
frustration, etc. So, that's perfectly
normal. In fact, that's a signal that
things are going right, meaning they're
headed towards learning. But, there's a
second component that's really required
for self-directed adaptive plasticity,
and that's periods of deep rest, in
particular a good night's sleep, in
particular on the night that follows
that focused attention to the thing
you're trying to learn. There are now
hundreds of studies, in both animal
models and in humans, showing that it is
really during sleep and other states of
deep relaxation, things like meditation
and non-sleep deep rest, which I've
talked about before on this podcast, but
really during our main night of sleep
that the rewiring of neural connections,
that is the actual neuroplasticity takes
place. So, the verb neuroplasticity, the
rearrangement of connections between
neurons, really occurs during sleep, in
particular on the first night following
an attempt to learn something through
this focused attention. Now,
developmental plasticity, which is
passive, also requires good sleep. It's
slightly different, or frankly, it's a
lot different in terms of the underlying
mechanisms than self-directed adaptive
plasticity. But, because today we're
mainly talking about how to learn faster
through mental training and
visualization, and that really maps more
closely onto self-directed adaptive
plasticity, I just really want to
emphasize this two-step process. There
has to be focused, dedicated attention,
and then there needs to be sleep, and in
particular sleep on the first night
following that training. Now, should you
have the unfortunate experience of
getting woken up in the middle of the
night following trying to learn
something, or should you simply not be
able to sleep for whatever reason on the
night following a bout of learning, or
an attempt to learn, do not despair,
because it turns out that there are what
are called second and third night
effects also. Once you sleep, you will
learn. Those neuroplastic events, the
reordering of connections that we call
synapses,
and the
changes that occur in neural circuits
that reflects what we call self-directed
adaptive plasticity, that still will
occur. But, ideally you got a great
night's sleep on the first night
following trying to learn, and the
second night, and the third, and so on,
and so on. Now, there are a few other
things that are critical to understand
about self-directed adaptive plasticity
that will become especially important
when thinking about protocols for
developing the ideal mental training and
visualization process for you.
And that is that there are different
forms of plasticity that occur between
neurons, although the two main forms are
what are called long-term potentiation
and long-term depression. And I just
want to queue up right now that the word
depression is a very loaded word because
the moment people hear the word
depression, they think, "Oh, no. That's
bad."
But, in the case of neuroplasticity,
long-term depression is simply a change
in the connections between neurons and
the excitability between neurons that in
many ways can be excellent for learning
things, in particular, motor skills.
And we'll get into this in more detail
in a little bit. But, it turns out that
a lot of our ability to get better at
some sort of motor skill involves this
thing that we call long-term depression.
And that's because much of what is
happening when we learn a new motor
skill is that we are depressing or
suppressing
specific actions in order to generate a
very specific coordinated action.
Some of the best examples of long-term
depression can actually be borrowed from
developmental plasticity. So, for
instance, if you've ever sat across from
an infant who is trying to eat their
meal, so imagine a 1 and 1/2 year-old or
a 2-year-old trying to eat some noodles
or some soup or any kind of baby
suitable food with a spoon and they're
holding the spoon or they're trying to
hold the spoon. What you'll notice is
that their motor movements are terribly
uncoordinated.
They often will take that spoon to their
cheek or to their eye or to their head.
We've all seen these very amusing photos
of babies with bowls of food on their
head or with food all over their face or
just everywhere. It
appears that they're basically getting
the food everywhere except where it's
supposed to go, which is in their mouth.
And that's because their motor movements
are not very well coordinated at that
age. And they're not very well
coordinated not because they lack
sufficient numbers of neural
connections, synapses between neurons,
but rather because they have too many
connections between too many different
neurons. The neural circuits that
control very dedicated coordinated
movement are not there yet. Instead,
too many neurons are connected to too
many other neurons, and so they can't
generate the precise movements that are
required in order to get that spoon to
their mouth.
Now, over time they get better at moving
the utensil to their mouth
such that hopefully by about age five or
six, they are eating, you know, in a
relatively cleaner way. And hopefully by
the time they're 10 or 11 or 12, they're
getting the food into their mouth and
not all over their face. Uh people learn
this to varying degrees. All you have to
do is go to a restaurant and watch how
people eat. Um and you will see a vast
variation in people's coordinated
movements with utensils, but in general,
there's a theme. The younger the person,
the more uncoordinated their movement of
utensils. And as they get older, the
more coordinated. Now, of course, in
people that are very old, they have
challenges moving
objects
and their limbs in very smooth ways, and
that has to do with uh topic that we'll
get into when we talk about age-related
cognitive decline and motor-related
dementias. But, for sake of today's
discussion, if you just want to think
about what happens with long-term
depression and the development of a
motor skill, both as a baby, as an
adolescent, and as an adult when you're
trying to learn a new motor skill,
is that you are eliminating incorrect
movements. And when you are eliminating
incorrect movements to arrive at only
the correct movements in a very
reflexive and repeated way. So, think
your golf swing, your tennis serve,
think serving a volleyball,
think a child learning to crawl and then
walk, think a child learning to eat with
utensils, in the example I gave before.
What's happening in all of those cases
is that, yes, certain connections in the
brain are being strengthened or what we
call potentiated. They are undergoing
long-term potentiation, the so-called
{quote} "fire together, wire together"
mantra that was popularized by the great
neurobiologist Dr. Carla Shatz, my
colleague at Stanford.
But, in addition to that, long-term
depression, the quietening or the
silencing of specific synapses, that is
connections between neurons, is
absolutely critical for motor skill
learning. So, we have LTP, long-term
potentiation, and LTD, long-term
depression, is every bit as important as
LTP, long-term potentiation, for getting
better at some sort of motor skill, and
indeed at getting better at some sort of
cognitive skill. Now, as we hear this,
this should be intuitive to all of us.
If you look at somebody's attempt to
learn a particular dance step, or at
somebody's attempt to do a tennis serve
the first time,
it's all over the place. Now, it's not
perhaps all over the place in that
they're doing a jumping jack while
trying to serve the tennis ball, but
they're generally arcing the racket too
widely on one trial, and then they're
arcing it too close to their body on the
next trial. So, if we were to draw a
line over each one of those trials, we
would see that there were lines
everywhere over time. Whereas, once
they, quote unquote, perfect the tennis
serve, it's going to be line drawn
directly over line drawn directly over
line, meaning the arc of that tennis
serve is going to be very restricted.
And that, without question, has
reflected the removal or the quietening
of particular synapses, connections
between neurons in the brain and body,
to allow that very narrow, coordinated,
and directed movement. The same is true
for learning anything in the cognitive
domain, meaning if you are to learn a
language,
it is not, of course, the case that you
know every word in that language, and
then you simply remove certain words and
arrive at the correct sentence structure
that you're trying to achieve,
but rather, you have to suppress your
native language,
or if you're a young child, you have to
suppress the generation of just kind of
random babbling sounds. Turns out,
babbling isn't random at all, but the
point is that you have to suppress
the enunciation of particular sounds and
direct the pronunciation of other sounds
in order to generate that new language,
or your ability to speak at all. Okay?
So, we can really think about
neuroplasticity as both a building up
process in which you increase
connections, so-called long-term
potentiation, and a sculpting down or a
removal of connections process that
we're going to call long-term
depression. Now, I have to acknowledge
that of course there are other forms of
neuroplasticity, too. I know there are
probably some aficionados listening to
this
who will be perhaps shouting back at
whatever device my voice is coming out
of. Wait, what about
spike-timing-dependent plasticity or
what about paired-pulse facilitation?
Yes, yes, and yes. There are multiple
forms of communication between neurons
that can strengthen those connections or
weaken those connections. But for
today's discussion, we just broadly want
to think about long-term potentiation
and long-term depression because it
captures the two most important themes
related to mental training and
visualization, which is that when we
perform a given cognitive or physical
task in the real world, so we actually
try the dance step or the tennis serve,
or when we actually try a math problem
or we try and learn some specific
knowledge and write it down and remember
it,
that is engaging particular neurons,
right? They're firing, they're releasing
chemicals,
but it is also actively suppressing the
activity of other neurons. And we are
always completely unaware of the ways in
which our brain is suppressing certain
activity. Okay, so today we have to keep
in mind that where there is
strengthening of connections, there is
also weakening of connections. And when
it comes to mental training and
visualization, and here's the really key
point, with mental training and
visualization, you are capturing both
processes, both the potentiation, that
is the building up and strengthening of
connections, and the weakening of the
connections that are inappropriate for
the thing you're trying to learn. And
there are different aspects of mental
training and visualization protocols
that
really harness the potentiation versus
the depression aspect. And today we will
cover mental training and visualization
protocols that capture both the
potentiation and the depression aspect
of neuroplasticity and in that way serve
as an augment, that is a complement to
the actual real-world cognitive and
physical training that you're doing.
Because I'll just give this away right
now. Turns out that mental training and
visualization is not a replacement for
real-world cognitive or motor behavior.
Again, mental training and visualization
cannot replace
real-world execution of cognitive tasks
or of motor tasks if you want to learn.
However, mental training and
visualization can and has been shown to
be effective for greatly enhancing the
speed at which you learn and the
stability of that learning over time.
Okay, so let's take a second and really
think about what's happening in the
brain and body
when we do mental training and
visualization. In fact, we can do a
little experiment right now that is not
unlike many of the classic experiments
looking at what's happening in the brain
and body during mental training and
visualization, in which I just ask you
to close your eyes and imagine a yellow
cube.
Okay?
And next to that yellow cube is a red
rose.
And
perhaps I also ask you to
float or fly up above the cube and the
rose and look at them from the top.
Top down.
And then I tell you to fly back around
and land behind those and look at them
from the perspective of behind that
yellow cube and that red rose. Okay?
Now, what the data tell us is that most
people will be able to do that. Most of
you will be able to do that to some
degree or another, regardless of your
attention span, whether or not you have
ADHD or not. Most of you will be able to
do that to some degree or another. We
also know from neuroimaging studies in
which people are placed into a
functional magnetic resonance imaging
scanner
that during the sort of visualization
you just did or that I described, that
your visual cortex and associated areas
quote-unquote light up. They become very
active in similar but not identical ways
to how they would light up and be
activated were you to actually look at a
yellow cube and a red rose on a screen
and perhaps fly above them, virtually of
course, and land behind them, virtually
of course, or if you were to actually
look at a yellow cube and red rose in
the real world right in front of you on
a table, then, you know, get up on your
tippy toes and look down on them from
the top and then walk around the table
and look at them from the other side.
So, there is some degree of what we call
perceptual equivalence between
real-world experiences, digital
experiences, and imagined, meaning with
our eyes closed, just in our mind's eye,
experiences.
This is true not just of vision and what
we call the visual domain, but also the
auditory domain. Okay, so for instance,
I could play for you a short motif of a
song. Let's just pick something that I
think most people know. Goodness, I'm a
terrible musician and even worse um
singer, but let's just take the the
opening to AC/DC's Back in Black, right?
I think I can do that one. It's like
don't don't
Okay, got it.
That's the the actual sound, although
admittedly a dreadful version of of the
great AC/DC song Back in Black. But now
I ask you to close your eyes, or you
could keep them open and just imagine
that don't don't don't. Okay?
Or for instance, I
place you in a quiet room, so you close
your eyes, and ask you to imagine the
opening to AC/DC's Back in Black, but
ask you to pause it halfway through.
What you would find again is that most
people, somewhere between 90 and 95% of
people, would be able to do all the
sorts of things I described, right? Cube
and rose, AC/DC Back in Black.
Even a somatosensory task. I imagine you
to imagine what it's like to touch felt
or to touch chinchilla hair or something
like that. A chinchilla's hair. Ideally
a live chinchilla sitting still. Those
little critters move really, really
fast, but they have very very soft hair,
high hair density, so soft.
Okay.
Most people can do that.
About 5 to 15% of people are less able
to do that, and there's a
small percentage of people in that 5 to
15%
that simply cannot do it at all, that
just cannot visualize well. We'll talk
later about these people. They have
what's called aphantasia,
an inability to mentally visualize. But
most people are actually pretty good at
visualizing things when they are told
what to visualize. And, and this is a
really key point,
and if what they are told to visualize
is very simple, and the whole
visualization is quite brief, lasting on
the order of about 15 seconds to
generate the visualization in the
auditory or in the visual aspect of
one's mind's eye or ear, if you will,
and if it's repeated over and over.
What's far harder for everybody to do,
and in fact what most people simply
cannot do,
is imagine long extended scenes and
stories in their mind that go on for
minutes and minutes, and that involve a
lot of different sensory stimuli. This
is a really key point. In fact, as we
start to home in on ideal mental
training and visualization protocols,
I'd like to establish this as the first
principle of mental training and
visualization, which is that
if you are going to use mental training
and visualization to its best effect in
order to engage neuroplasticity and
learning, you need to keep those
visualizations quite brief, really on
the order of about 15 to 20 seconds or
so, and pretty darn sparse, meaning not
including a lot of elaborate
visualization, not including a lot of
sequences of motor steps. What I mean
are motor sequences, if you're trying to
learn something in terms of physical
movement,
or visual sequences or auditory
sequences, if you're trying to learn
things in terms of music or dance, etc.,
that can be completed and repeated in 15
seconds or less.
Now, later I'll give you a couple of
specific examples, but if you want to
use mental training and visualization,
understand this is the key first
principle. They have to be very short
visualizations that you can repeat over
and over and over again with a high
degree of accuracy. So, you don't want
to embark on a mental training and
visualization paradigm in which it
involves a lot of elaborate stimuli and
you have to think really hard and work
really hard. Even if you're in that
category of people who can do mental
visualization pretty naturally and
easily. Now, if you're somebody who
can't do mental visualization, in fact,
if you're somebody who has full-blown
aphantasia or the inability to mentally
visualize, well, then it's especially
important that you make those mental
trainings and visualizations really
brief and very, very simple. I'd like to
take a quick break and acknowledge one
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order to develop the best mental
training and visualization protocols for
you, let's go a little bit deeper into
what the research says about mental
visualization. Now, the classic work on
mental visualization really hinges on a
number of different researchers and
their work, but in particular Roger
Shepard, who did this work at Stanford,
and Stephen Kosslyn, who's now at
Harvard. There are of course others in
the field, but it's really the work of
Shepard and Kosslyn that lay the
foundation for our understanding of what
happens in the brain when we mentally
visualize something.
Shepard did these incredible experiments
in which he had students mentally
visualize simple objects, like a square,
like a triangle,
and he measured how long it took them to
do that. Now, of course, at the time
when he did these experiments,
there were no sophisticated brain
imaging devices and machines like fMRI.
However, everything I'm about to
describe has been later confirmed using
things like fMRI.
What Shepard did and what he found is
that if people were told to visualize
very simple objects, they did it pretty
quickly.
However, if they were told to visualize
more complex objects, or importantly to
rotate those objects in their mind's
eye, well, then it took longer for them
to perform those mental visualizations.
Now, many of you might think, "Duh, if I
have to just imagine a triangle or a
cube, that's going to be very easy and
very fast, whereas if I have to rotate
that triangle or cube in my mind's eye,
that's going to take more time." And
indeed, that is somewhat of a duh,
except, and this is so very important,
except that what Shepard and his
colleagues found is that how long it
takes somebody to generate and rotate a
given visual image
scales directly with the complexity of
that image. In fact, Kosslyn did some
experiments that I think illustrate this
even better. And here's the experiment.
I love this experiment. I think you'll
love it, too, because
it illustrates something so
fundamentally important about how our
brains work, not just for sake of mental
training and visualization, but just how
our brains work at all.
He showed people a picture of a map. So,
a map drawn on a piece of paper.
This was a map of an island.
It included things like a loading dock
for some boats. It had a location for
getting food on the island. It had some
trees. It had some other small landmarks
drawn out. And people looked at this
and memorized it. Or in other
experiments, they just had people
imagine this island and the location of
these different landmarks on the island.
So, it didn't really matter which. But
then, he had people imagine moving or
walking from one location on the island
to another. So, they'd say, "Okay,
you're at the loading dock. Now, move to
the restaurant." Okay, "You're at the
restaurant. Now, move to the palm tree.
You're on the north shore of the island.
Now, go around the side of the island
clockwise to arrive at the bay on the
southwest corner." This sort of thing.
What Kosslyn found was absolutely
incredible.
What he found was that the amount of
time that it takes people
to move from one location on the map to
another
scaled linearly, directly, with the
actual physical location between those
objects on the map. So, for those of you
that can understand or into the
importance of what Shepard and Kosslyn
showed, great.
I'm guessing, however, that for most
people out there, you're still grasping
it like, "Okay, interesting.
You know, how things happen in the real
world dictates how they happen in our
mind's eye." But I want to make sure
that I really nail home the importance
of this for everybody.
The importance of this is that when we
look at something in the real world, so
if I look at the pen in front of me, I'm
holding up my pen for those of you that
are listening, just holding up my pen in
front of me,
and I move it to the right and back and
forth,
what's happening is I'm activating or
I'm triggering the electrical activity
of neurons, which we can think of kind
of as pixels in my eye, okay? So it's,
you know, leftward or rightward motion
for me and back and forth, and those are
getting activated and they're sending
signals up to my visual cortex,
and that information is processed at a
given speed.
What the visualization experiments that
Shepard and Kosslyn and others did show
is that the processing speed of imagined
experiences is exactly the same as the
processing speed of real experiences.
And the spatial relationship between
imagined and real experiences
is exactly the same as well. Put simply,
when we imagine something in our mind's
eye or mind's ear,
we are imagining the real thing
happening. And when I say the real
thing, it's not the obvious real thing.
Of course, if you're imagining
something, that's the thing you're
imagining. What I mean is that your
brain at the level of neurons is
behaving exactly the same way. And this
needn't have been the case, okay? There
could have been a result, for instance,
that if people were asked to visualize a
cube and rotate it
from, you know, flip it from top to
bottom, okay? So put the top that's
upward on a table now down on the table
and so forth, or to migrate around the
island, you know, counterclockwise going
from, you know, the northern coast all
the way down to the southern coast
clockwise and then back up to the
northern coast, that they could have
just done it really quickly like all in
1 second, but that's not what happens.
They always match the speed at which
they do things in their mind's eye to
the same speed that they do them in the
real world. So in telling you this, what
I'm saying is that mental visualization
at the neural level is identical
to real-world events. So, when you've
heard that when we imagine something,
it's identical in terms of our brains'
experience of it
and our bodies' experience of it as when
we actually experience something, that
is true at the neural level. However,
when it comes to learning and improving
performance in the cognitive or physical
domain, they are not equivalent. So,
this is the second principle of mental
training and visualization. As you
recall, the first principle of mental
training and visualization was that in
order to make it effective, it needs to
be very brief and very simple and
repeated over and over again. The second
principle of mental training and
visualization is that while yes,
mental training and visualization
recaptures the same patterns of neural
firing in the exact same ways as
real-world behavior and thinking,
it is not as effective as real-world
behavior and thinking.
In other words, if you want to learn
something, the ideal situation is to
combine
real training in the physical world with
mental training.
And I'll talk about exactly how to do
that and in what ratios a little bit
later. Now, there's a really incredible
set of experiments that illustrate why
it is that mental training and
visualization can be extremely
effective, but that it's always going to
be most effective when combined with
real-world training and experiences. The
experiments that I'm talking about
involve the use of what are called
bistable images or impossible figures.
Some of you are probably familiar with
impossible figures. These are figures or
objects that when you look at them,
they have these odd features, like
you're not sure where they stop and
where they start or where they end. Uh
one good example would be the so-called
Mobius strip. The Mobius strip is
literally a strip or a line that is
contiguous. It goes up and it loops
around and then it curves around and
then it goes back and and it just
continues and continues. And when you
look at it, you can never really tell
where it starts and where it stops
because it doesn't have any of the
features that allow you to see what's
the front and what's the back in any
kind of stable way. Another example of
an impossible figure would be, you know,
a little set of cubes that look like
they're coming out toward you maybe with
a little bend in them going up at a
right angle, perhaps. But then if you
look at it a little bit longer, that
little piece that's facing up looks like
it's in front. And you can't really tell
what's in front and what's in back. And
so, it's called an impossible figure
because you don't really know how to
frame it in your mind to tell what's
closer to you and what's further apart.
Bistable images are somewhat similar,
although different in the sense that
they typically are simple silhouettes.
So, for instance, the faces-vases
bistable image is perhaps the most
famous of these, where you look at this
image, it's very simple, and it looks
like two vases.
But then you look at it a little bit
longer and you realize that you're
looking at the side angle or the profile
of two faces looking at one another. And
when you see those two faces looking at
one another, you can't see the vases at
the same time. But then if you decide to
see the vases again, you can see the
vases again, but the faces disappear.
So, it's bistable, meaning that you
can't see the faces and vases at the
same time.
And impossible figures and bistable
images
are capturing the fact that your visual
cortex and some of the associated areas
that compute visual scenes in your world
are essentially trying to recreate
whatever it is that's out in front of
them. And that's effectively what your
visual system does. It's very good at
recreating visual images in your brain,
in your mind's eye. Cuz if you think
about it, even with your eyes open, your
brain is just creating an abstract
representation of what it thinks is out
there.
But that when it comes to assigning an
identity to something like, "Oh, that's
a face." or "Oh, that's a vase."
that is constrained by different neural
circuits, by different areas of the
brain, and somehow those circuits can't
be co-active. We cannot see the faces
and the vases at exactly the same time.
We can switch back and forth really
quickly, just as we can switch back and
forth really quickly when we're looking
at the impossible figure and think,
"Okay, that's the front of it, that's
the back. No, wait, that's the back,
that's the front." And it's going back
and forth, but we can't see them both at
the same time. No one can see them both
at the same time.
Okay? We know this from brain imaging
studies.
Now,
impossible figures and bistable images
can be seen, right? You could look them
up right now on your phone or computer,
or I could show you pictures of them on
paper right in front of you, and you can
do these sorts of perceptual experiments
of telling people, "Look at the face,
look at the vase. Look at the front of
the cube. Now make it out the back of
the cube." And they can do this somewhat
deliberately.
However, and this is I think so very
interesting to understanding how mental
training and visualization does and does
not support real-world learning,
if you try to imagine a bistable image,
you can't do it.
In fact, no one can do it until they do
something else. Okay? So, for those of
you who are saying, "Wait, I can do it.
I can do faces vases in my mind's eye."
I promise you that the neuroimaging
disputes your belief,
okay? And supports the idea that we can
see real-world bistable images, we can
see real-world impossible figures, but
when we try and imagine those in our
minds' eye, we simply can't do it. We
can't do the perceptual shift in our
minds' eye. We can't switch back and
forth between faces and vases.
However,
and I just have to chuckle because I
think these experiments are so clever.
If I have you trace or draw
with a pen
on a piece of paper an impossible figure
or
the faces vases bistable image, and then
I ask you to imagine that bistable image
or impossible figure and to switch back
and forth,
you are able to do it. So, what that
illustrates is that it's the combination
of imagined and real-world experiences,
real motor movements, real perceptual
experiences combined with motor
movements, combined with what you
imagine in your mind's eye that really
gives you the most depth and flexibility
over your mental visualization.
And in doing so, we can really stamp
down a third principle of mental
training and visualization, which is
that your mental training and
visualization will be far more effective
if you are performing the exact same or
very similar mental and physical tasks
in the real world. Okay, so first
principle is mental training and
visualization needs to be simple and
brief and repeated. Second is that
mental training and visualization is not
a replacement for real-world
motor training or cognitive training.
It's an augment. It's an addition that
can really help. And the third principle
of mental training and visualization is
that you need to combine mental training
and visualization with real-world
behaviors and experiences that are very,
very similar. That was a brief, but I
think really relevant aside.
One of the things that also makes mental
training and visualization more
effective is when we assign cognitive
labels to what's going on when we
visualize. So, what I mean is that
people are much better at manipulating
faces and vases in their mind's eye, of
course, only once they've drawn them out
physically with their hand, as I
mentioned before, than they are
manipulating abstract objects like
impossible figures
in part because
by labeling them faces and vases
people are able to capture a lot of
other neural machinery that's related to
faces and vases. In fact, we have entire
brain areas on both sides of the brain
devoted to the processing of faces. It's
called fusiform face area.
We have other areas in our brain that
are involved in processing of 3D
objects, but faces are of particular
value. There's a There's a value to
understanding what a face is as opposed
to a non-face, and there's a value to
understanding what a particular face is.
In fact, the simplest way to put this is
that the human brain is in many ways a
face recognition and expression of faces
recognition machine. It of course does
other things, but it is exceptionally
good at that. Unless you're in a
profession in which the relationships
between 3D objects and your ability to
manipulate them is exceedingly
important, you're not going to have a
lot of neural real estate specifically
devoted to that. Some people will be
better at it, some people will be worse,
but when it comes to faces, unless you
have a condition like prosopagnosia,
which is an inability to recognize, say,
famous faces and distinguish them from
non-famous faces, or if you have some
sort of face recognition deficit, which
about anywhere from 1 perhaps to 3% of
people out there have, okay, they're
just terrible at recognizing faces. And
by the way, there's about half a percent
of people out there that are what are
called super recognizers that can
recognize faces in a large crowd, they
can recognize specific faces even from
just partial profiles. By the way, these
people are extremely valuable to
securities agencies, and security
agencies are very good at finding these
people.
Um machines are quickly getting
better, or at least as good as super
recognizers, but the best super
recognizers are still better than the
best AI and machine algorithms out
there. But, the point is that in your
mind's eye, you are better able to
manipulate specific objects, or to see
things more clearly and with more
specificity,
when it has a label that you recognize
from your real world experience, as
opposed to abstract or fictional labels,
okay? Again, stamping home the idea that
what you experience in the real world
really serves to support your mental
imagery, and therefore, the key
importance of experiencing and doing
things in the real world, and supporting
that with mental training and
visualization and not just relying on
mental training and visualization. And
the tangent here that's a little bit of
fun
and that I don't think we've ever talked
about before on this podcast is that of
UFOs, unidentified flying objects. You
know, there's a a lot of people out
there who think that they've seen UFOs.
I guess technically they have because a
UFO is an unidentified flying object and
if it's unidentified at least to them,
then it is indeed a UFO. I guess the
question is whether or not
or the dispute rather is whether or not
those UFOs are actually flown by aliens
or controlled by aliens. I think that's
where the dispute lies.
But you can imagine how if somebody sees
an object in their environment and
decides, ah, that's a UFO. Okay?
Remember these faces-vases or these
impossible figures? If they say, "Oh,
that thing is a UFO as opposed to
something else." They see, in other
words, the face, not the vase. Well,
that stamps it down as a memory in their
visual system and related systems. And
then in their mind's eye,
they are seeing the UFO. They're not
seeing the other thing that it could
possibly be. Okay? So, it's stamped out
a very specific memory. So, the point
here is that mental training and
visualization relies on not just the
physical contours and the exact spatial
profiles and the speed of movement of
particular things that we experience in
the real world. It also heavily depends
on the cognitive labels and the
decisions we make about the things that
we see. And this will become very
important as we build up toward our
fourth principle of mental training and
visualization, which is that our
cognitive labels, that is, what we
decide is happening when we do mental
training and visualization, turns out to
be very important. Now, this is not
simply to say that you can decide,
"Okay, I want to learn how to play
piano." And so, I'm going to tell myself
that a particular chord I imagine in my
mind's eye is identical to the real
world chord just because I decided it
is. The brain doesn't work that way.
It's not possible to just lie to
yourself and learn better as a
consequence of the lies you tell
yourself. However,
what this tells us is that it is very,
very important that your mental training
and visualization accurately
recapitulate the real-world training
that you're doing. So, if we are going
to stamp down a fourth principle of
effective mental training and
visualization based on what we know from
the scientific literature,
is that your mental training and
visualization should assign labels to
what you're doing that can be matched to
real-world training and experiences.
Now, these can be somewhat abstract. So,
for instance, if you're trying to learn
a particular
aspect of the golf swing, okay? So,
let's say that you're working on your
golf swing. Seems to be There are a lot
of people out there working on their
golf swing. And you're going to do some
mental training and visualization in
order to improve your golf swing. We
already know, again, let's just march
through them that your mental training
and visualization needs to be brief and
simple. It needs to be the same, or in
fact, it will be, we can say, the same
as your real-world golf swing. In other
words, it will take you exactly the same
amount of time to perform that golf
swing in your mind's eye as it would in
the real world. Incredible, right?
Again, something that maybe has taken a
little bit of time to sink in, but once
it does, you're going to be like, "Wow,
the brain is really an incredible
machine."
And that third principle that you still
have to do golf swings in the real world
in addition to the mental training of
golf swings. And fourth, that if you
want that mental training and
visualization to really improve your
golf swing, you're going to have to name
or apply an identity to the specific
golf swing or aspect of the golf swing
that you're practicing. So, this could
be abstract. You could call it mental
training and visualization of golf swing
1A. And you could imagine your mind's
eye, you know, the perfect golf swing
over and over and over and over. But
then when you're in the real world,
you're also going to have to call that
either out loud or just to yourself golf
swing 1A, okay? As opposed to a putt,
which might be 1B. So, naming and giving
an identity
to a real-world skill and applying the
same name or identity to the mental
version of that, the visualization of
that, can enhance the mental training
and visualization in significant ways.
So, when we apply identities or names to
these mental trainings and
visualizations, and again,
provided that they are brief and
repeated and so on,
we greatly enhance the amount of neural
machinery in the brain and body that we
are able to recruit when we go to
perform those
real-world golf swings and golf putts.
And here, just replace golf swing and
golf putt with anything that you're
trying to learn.
You're able to recruit a lot more neural
machinery and greatly increase the
probability of proper execution. So,
before we go any further, I want to
share with you a couple of incredible
aspects of mental visualization that
really can be harnessed and applied
toward mental training and
visualization. Okay, some of these were
done by Roger Shepard and his graduate
students and postdocs, some were done by
Steve Kosslyn and by others. What these
experiments really show is that mental
training and visualization is capturing
many, many of the exact same features of
real-world behavior and perceptions. Not
all of them, but many of them. So, for
instance, if I tell you to close your
eyes
and imagine
a ceiling that has tiles that are black
and white checker tiles, you know, one
black tile, one white tile, for
instance. We know based on experiments
where we measure eye movements behind
closed eyelids, that people tend to move
their eyes up when they are imagining
things above them, such as a ceiling.
Whereas, if I tell you to imagine things
down on the floor, like you're taking a
hike and you're looking for
rattlesnakes. Actually, just recently I
experienced, because it's spring here in
California, a rattlesnake along a hiking
trail. It's really quite beautiful,
although I
have to confess I enjoyed keeping my
distance.
I don't like snakes uh, very much. I
don't dislike snakes, but I prefer not
to interact with them unless I have to.
If I have you imagine that rattlesnake,
depending on your relationship or
thoughts about rattlesnakes, number of
things will happen in your brain, of
course. Activation of the limbic system
or not,
for instance.
But, what I know is that, regardless of
how you feel about snakes,
most of you will move your eyes down
when imagining a snake. Okay? It might
be subtle, it might be fast, but
statistically, that result shows up as
opposed to when I imagine or ask you to
imagine something above you. You tend to
move your eyes up.
In addition to that, if I tell you, for
instance, to imagine an elephant and a
mouse next to one another,
you presumably have some real-world
understanding about the relative sizes
of elephants versus mice. Elephants,
generally, are bigger than mice.
Thank goodness.
Mice are smaller than elephants.
If I ask you to tell me about the
details of that mouse's face, so, for
instance, can you see its whiskers?
The processing time required for you to
do that is much longer than the
processing time required if I say,
"Tell me what the position of that
elephant's trunk is." Now, why would
that be so? Okay? The position of the
elephant's trunk wasn't something that I
told you, it wasn't dictated by me, it's
in your mind's eye. Maybe you don't even
know, and you have to go searching for
it.
But, what we do know is that if I tell
you to look at a small object in your
mind's eye versus a larger object, so,
for instance, the mouse versus the
elephant, it takes longer for you to do
that. In other words, just as with the
map experiment, the distance between
things on a map is conserved in your
mind's eye
as a linear relationship, takes longer
to go far distances between things on a
map in your mind
than it does to go shorter distances.
It's also the case that it takes you
longer to look at the the of a small
object versus a large object because
why? Because you are zooming in in your
mind's eye. Again, all of which speaks
to the equivalence of mental imagery
with real-world imagery and perception.
And as I mentioned earlier and as we'll
see in a moment, this also extends into
the motor domain. It takes you longer to
perform complex motor sequences in your
mind's eye than it does simple motor
sequences just as it would in the real
world. And if you're saying, "Of course,
of course, of course." Well, then great.
Then we've really underscored the point,
which is that when you imagine things,
it is not exactly the same, but it is
very, very much the same as actually
doing or perceiving those things in the
real world. And the fifth principle of
effective mental training and
visualization is this notion of
equivalence of mental imagery versus
real-world perception and behavior.
These are the experiments, as you
recall, where if people are told to look
for clouds in their mental
visualization, they tend to look up or
if they're looking for something on the
floor, they tend to look down even
behind closed eyelids.
Now, this can be applied toward building
an especially effective mental training
and visualization protocol if you
deliberately move your eyes in the
direction of the thing or things that
you are trying to recapitulate in your
mind in your visualization, that is. You
don't necessarily have to include this
step, but mental training and
visualization is going to be more
effective if you do because with
consciously generated eye movements,
again, even behind closed eyelids,
you are bringing about more of the
neural circuitry that one would
experience if you were to perform that
particular cognitive task or motor task
in the real world, which, as I mentioned
before in principle number three, you
need to be doing anyway separately from
your mental training and visualization.
So, what we're talking about here is
thus far five principles of mental
training and visualization that are well
established from the scientific research
literature. In fact, I haven't mentioned
this quite yet and I'll refer to some
other references, but there's a
wonderful systematic review of large
number of studies that have looked at
mental training and visualization,
what's effective, what's less effective
across a bunch of different disciplines
that include education, medicine, music,
psychology, and sports. We will provide
a link to this paper in the show note
captions, but the title of the paper is
best practice for motor imagery, a
systematic literature view on motor
imagery training elements in five
different disciplines. As the title
suggests, it's mainly for
motor imagery training, but it extends
into music, which of course involves
motor training and execution.
But, as well as education.
This review establishes a number of
different important things. I'm going to
read off some of the key or highlight
takeaways. For instance, I described
principle one of effective mental
training and visualization, which is
that the visualization be brief and it
be simple and it be repeated. May ask
how many times that very brief 5 to 15
second
exercise of going through some routine
should be repeated.
Well, different studies have used
different ranges of let's call them
repetitions in a given training session,
but the number that seems to be most
effective is somewhere between 50 and 75
repeats per session.
That brings about the question of how
long one should rest between each
repeat.
This gets a little tricky depending on
what you're trying to do.
Remember that we have this threshold of
about 15 seconds for completion of the
entire motor sequence. Let's say what
you're trying to do, like a golf swing,
takes you 5 seconds to imagine in your
mind's eye.
From the point where you, let's just say
have the ball on the tee, you bring the
the golf club up, you might reposition
your your feet just a little bit, you
know, that kind of a little wiggle that
golf golfers do, and then the swing. If
that whole thing takes 5 seconds in your
mind's eye and roughly 5 seconds in the
real world, well then you'd be able to
repeat it of course, three times in 15
seconds. That would be one repetition,
even though you're doing it three times.
So, it's one 15-second epoch, as it's
sometimes called, e p o c h, epoch. And
then you would rest for an approximately
equivalent amount of time, 15 seconds or
so, and then repeat.
And rest 15 seconds or so, and then
repeat.
Rest 15 seconds, and then repeat. Again,
three golf swings within that 15
seconds, rest 15 seconds. Three golf
swings within that 15 seconds, rest 15
seconds. Truth told, these epochs and
these rest periods do not need to be
exact. You could imagine, for instance,
that you get three repetitions of the
swing within 14 seconds. Well, then do
you do another one, or do you wait until
the end of that 15 seconds? I encourage
you not to obsess too much about those
sorts of points. Rather, you want to do
as many repeats as you can in about a
15-second
epoch, and then rest for about 15
seconds, and then repeat for a total of
50 to 75 repetitions. Which might not
sound like a lot to some of you, might
sound like an awful lot to others of
you. To me, it sounds like a lot. You
know, 50 repetitions of something where
you're trying to concentrate in your
mind's eye on getting something
accomplished over and over over again in
exactly the same way might seem like a
lot. We know, based on the learning
literature, that your ability to
successfully perform something in the
real world will lend itself to better
performance of that thing in the
imagined world within your mind's eye.
That's also one of these sort of does,
but if you're trying to get better at
something that you've never performed
before, you really should know that. The
mental training visualization is
probably not the best augment to that
real-world training until you're able to
perform it successfully in the real
world at least some of the time. Mental
training visualization can be effective,
however, at increasing the accuracy or
the frequency at which you can do that
real-world behavior.
So, if normally you're only getting the
correct swing or you're only hitting the
the golf ball correctly,
say 10% of the time, mental training and
visualization can really help bring that
number up. But, it is important that you
are able to successfully complete that
motor task in the real world. Similarly,
for performance of cognitive tasks, so
say for instance,
uh speaking a new language. Uh you might
ask, "Well, gosh, what what in the
landscape of speaking a new language can
be restricted to 5 to 15 seconds where I
could repeat it anywhere from, you know,
one to three times in a given epoch and
then rest and then keep repeating 50 to
75 times?" Well, there I would encourage
you to pick something that you are able
to do perhaps very slowly, so to speak a
particular sentence, but with some
challenge in getting the accent and the
enunciation right, but you've completed
it successfully before and you want to
get more smooth or more fluid with it.
Likewise, for you know, playing piano or
guitar. Again, you have to translate to
the specific cognitive and or motor
activity that you are seeking to improve
at. But,
those epochs lasting 5 to 15 seconds are
really the cornerstone of an effective
mental training and visualization
practice and the repeated nature of it,
50 to 75 repetitions in a given session,
is also another cornerstone of an
effective mental training and
visualization practice. Uh so says this
review and some of the other papers that
I'm going to get to in a few moments.
Now, one of the other key components
of a successful mental training and
visualization practice is how often you
perform that mental training and
visualization practice. And again, a
number of different studies have looked
at this uh through a number of different
lenses, meaning anywhere from two to
eight times per week.
It does appear that performing these
sessions anywhere from three to five
times per week is going to be effective.
We could perhaps even say most effective
because most of the
let's just call it the strongest data
really point to repeating these 50 to 75
trials of the same thing three to five
times per week. So, you can come up with
a number that's reasonable for you to do
consistently. And you might ask do you
have to continue
to perform the mental training and
visualization forever? And the good news
is the answer to that question is no. It
does seem that once
you have what's called consolidated the
motor performance or the cognitive
performance of something, it can be
further supported or reinforced. That is
consolidated in the neural circuits that
are responsible for performing that
mental or physical task. So, in other
words, once you are performing that
cognitive or motor task in a way that's
satisfactory or perhaps just improved,
perhaps you're not 100% but it's
improved in the real world, you don't
need to continue to do mental training
and visualization to to maintain that
real world performance. So, that's a
good thing. In fact,
the ideal situation would be then to
pick a different sequence or thing that
you're trying to learn and do mental
training and visualization for that.
I perhaps might have misspoke there,
although I don't want to edit this out.
I misspoke in the sense that again, I
said
for the thing that you're trying to
learn, remember mental training and
visualization is going to be most
effective for building up the number of
accurate trials or that your ability to
do something with a greater frequency of
something that you're already
capable of doing or have done at least
once in the real world. Okay? This is
not to say that mental training and
visualization can't be used to acquire
new skills.
It can in principle, but it has been
shown to be most effective for enhancing
the speed and the accuracy of skills
that one has already demonstrated some
degree of proficiency at in the real
world. I think that's important to point
out because we often hear mental
training and visualization and this
equivalence of perceptual and motor
experiences in our mind's eye to the
real world and we think, "Oh, all we
have to do is imagine doing something
and we will get better at it." And
unfortunately, that's not the case. The
good news is, however, if you can do
something once, even very slowly in the
real world, and then you bring it to the
mental imagery and visualization domain,
you can get much faster at it in a way
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to get 20% off. Now, if you recall
principle number three, or what I'm
calling principle number three of
effective mental training and
visualization, which was that you have
to be able to perform
the thing you're that you're trying to
get better at through visualization and
imagery
in the real world.
That should raise the question of what
is the ratio of real-world training
versus mental training that's going to
be most effective. Uh well, here there
are some really interesting data. Uh not
just in the review that I mentioned, but
in couple of the other papers that we're
going to talk about in a few minutes.
But what I've done is I've synthesized
the information across those papers, and
they really all point to the fact that
real-world training is more effective
than mental training, and mental
training is more effective than no
training. Now, the mental training more
effective than no training is kind of a
duh, except that there are people, for
instance, people who are injured,
who are trying to maintain or replenish
some motor skill or ability to move in a
particular way, or who have had
traumatic brain injury and are trying to
recreate experiences in a way that's
safe for them while in a somewhat
restricted format. So, for instance, if
you've damaged a limb
or you're experiencing chronic pain, and
you need to take a layoff from some
physical activity, there are now many
studies looking at stroke patients, at
patients that have been in accidents,
TBI, also people who are suffering from
more conventional limb and connective
tissue injuries, that if they do mental
training, it obviously is not going to
put them at risk of doing those same
movements
as it would in the real world, right?
But that it can actually accelerate or
at least maintain skill performance. So,
this is pretty exciting if you think
about it. What this means, and the
reason it underscores this mental
training is better than no training, is
that should you find yourself in the
unfortunate circumstance of being
injured or unable to perform a given
behavior, imagining the sequence of
behavior that you'd like to maintain or
even build up over time, provided you've
done that motor sequence before in the
real world, well, the mental training
and visualization can really help keep
that online or even help you improve
over time. In fact, I have a colleague
in the psychology department at Stanford
who told me an anecdote, and I
admittedly it's just an anecdote, of a
student who was recruited to Stanford
both for their academic prowess but also
for their abilities in tennis and was
injured in their first year and at first
thought this was devastating, but did a
cognitive reframe around the idea that
that
let's call it extended layoff from
actual tennis was going to afford them
the ability to do more mental training
than they would otherwise even though
they were quite sad to not be able to do
actual physical training for tennis. And
when they came back from that injury,
they did indeed manage to improve beyond
the
initial non-injured state they were in
before the injury, which is pretty
remarkable, but
as this colleague pointed out to me,
they were very careful to include a lot
of mental training and visualization
during that quote-unquote layoff period.
So again, mental training better than no
training, physical training better than
mental training,
but when we say physical training better
than mental training, what we're really
talking about is when you allocate a
certain amount of training hours for a
given skill per week. Okay, so how would
this look? What these studies have done
is they've said, "Okay, if people have
the option of doing the real-world
training for 10 hours a week versus
mental training for 10 hours a week,
which group performs better?" It turns
out it's the ones that do the physical
training for 10 hours per week. However,
we also know that combinations of
physical training and mental training
can bring about results that are greater
than either one of those alone.
How would that work? Well, I wish I
could tell you that if you did 9 hours
of physical training per week plus 1
hour of mental training,
that your performance would be better
than if you did 10 hours of physical
training.
And that's not the case.
Okay? This is why we can reliably say
physical real-world training,
and again, this could be in the
cognitive domain, is always going to be
more effective on an hour-by-hour basis
compared to mental training. So, if you
can do real-world training, and perhaps
we should be calling it real world as
opposed to physical, but
if you can do real-world training
compared to
purely mental training, that's going to
be the best use of your time. This is
really important. And it doesn't
underscore everything that we're talking
about because
here's the really cool thing. If you do
10 hours per week of real-world physical
training, again, could be running, could
be music, could be math, could be
whatever it is you're trying to learn,
shooting basketballs,
hitting golf balls, and you add
1 hour or even
half an hour of mental training to that
real-world training, well, then the
results are significantly greater than
you would experience with physical
training alone. And of course, they
would be greater than you could achieve
with mental training alone because we
already established that real-world
training is more powerful
in learning skills and retaining skills
than is mental training. Okay, if any of
that was confusing, let me just say it
one more time just to be ultra clear.
If you have the option to do real-world
training for a cognitive and/or motor
skill versus mental training, always go
with real-world training. However, if
you can add to a maximum amount of
real-world training
by doing some mental training and you
follow the principles that we've been
discussing here, which are gleaned from
the scientific literature,
well, then you are going to get
significantly greater results in terms
of speed, accuracy, and consistency of
performance
of those real-world behaviors and
cognitive abilities.
And of course, if you are unable to do
physical training for whatever reason,
injury,
travel, whatever the case may be, well,
then doing mental training is still
far significantly greater
than doing no training at all. Okay? So,
total layoffs, it turns out, are a bad
thing if you want to get better at
something and indeed if you want to
retain certain skills, both cognitive
and motor. Now, a couple of other things
to keep in mind as you're thinking about
how to build up skills through a
combination of physical and mental
training.
Well, remember back to the beginning of
the episode where we talked about
neuroplasticity and the fact that
self-directed adaptive plasticity, which
is really what we're talking about here
in this entire episode, things that
you're trying to learn in a deliberate
way,
that is, as you recall, a two-part
process. Requires focused attention both
when you're doing it in the real world
and when you're doing mental training.
And it requires rest and sleep. And in
fact,
you would be very wise to try and get a
good night's sleep both on the days when
you do physical training, again, also
called real-world training, and mental
training.
You may also be asking, can you do them
on the same day? And this gets into some
nuance in the literature, but by my read
of the literature,
here's the takeaway.
If you are doing the maximum amount of
physical training that you can do
according to your schedule, preventing
injury, and all those sorts of important
constraints, and you're going to add
mental training and imagery, it doesn't
really matter when you do it. You could
do it immediately after your physical
training, you could do it on a separate
day,
but you do want to place it at a time in
which you can try and get good sleep
that night. So, for instance, believe it
or not, studies have been done where
people are doing mental training at
times when they should be sleeping. That
is going to offset some of the
degradation in performance that you
would normally see, but it's generally a
bad idea. You should do your real-world
training and your mental training
whenever it is that you can, and then
you should try and get as much quality
sleep as you possibly can on the night
following that physical and/or mental
training. Okay? This is true of pretty
much every night of your life, right? If
I had my way, that is if I had a magic
wand, which obviously I don't, I would
ensure that I and everyone else in the
world get sufficient amounts of quality
sleep every single night. But that's
just not realistic. There going to be
times where that's simply not going to
happen for whatever reason. And I always
say, if you're not going to get
sufficient amounts of quality sleep
for whatever reason, try and make it for
a fun reason or a good reason. But I
think getting sufficient amounts of
quality sleep 80% of the nights of your
life
is a reasonable goal and one that's
worth striving toward. And we have lots
of episodes now, or three really, on
mastering sleep, on perfecting your
sleep, and
episode guest episode with the great
Matthew Walker,
who wrote the book why you why we sleep.
Incredibly important book. All of those,
as well as our toolkit for sleep,
describe ways to improve your sleep. So
you can refer to those episodes if
you're having challenges with sleep and
want to improve on sleep
and things like non-sleep deep rest,
which can support your ability to sleep
and your ability to learn. So sleep is
still vitally important, not just for
ensuring neuroplasticity occurs
following real-world training, but also
following mental training. And again,
when you place that mental training is
not so critical, at least it doesn't
appear to be based on the literature. So
if anyone out there has knowledge of any
peer-reviewed studies stating that
mental training should be done either
before or after or some hours away from
real-world training, please send that to
me or put it in the show excuse me, put
it in the comments on YouTube and I'll
see it there cuz I do read all the
comments.
But I'm not aware of any any such data
or analysis. And by the way, if you are
interested in understanding the
relationship between motor skill
acquisition and retention and this first
night phenomenon of sleep the first
night after training versus sleep on the
second night, etc., there's a really
wonderful paper that was published by
none other than the great Matthew Walker
when I believe he was a graduate
student, maybe he was a postdoc when he
did this in Robert Stickgold's lab at
Harvard. The title of the paper is sleep
and time course of motor skill learning.
This is a paper published in 2003, still
an incredibly important paper. I will
provide a link to it in the show note
captions. It really highlights
some of the key aspects of when people
sleep and how critical sleep is on the
night following and the nights following
that
training in order to really consolidate
certain types of learning and what
phases of sleep relate to the
consolidation of motor learning, etc. A
really wonderful paper and of course,
but just one of
Matthew and Robert Stickgold's
incredible papers on sleep and learning.
Remember at the beginning of the episode
when I mentioned that many people are
good at mental training and
visualization, but some people are not?
Well,
sex differences have been explored and
age-related differences have been
explored in terms of people's ability to
mentally visualize and train up specific
skills. And while initially there were
some sex differences identified, really
the bulk of the subsequent literature,
that is the majority of quality
peer-reviewed studies on this aspect of
mental training and visualization,
pointed to the fact that there are no
significant differences between males
and females in terms of their ability to
mentally visualize nor their ability to
use that mental visualization toward
improving cognitive or motor skills.
That point was
covered in some detail in the review I
mentioned earlier, Best Practice for
Motor Imagery: A Systematic Literature
Review on Motor Imagery Training
Elements in Five Different Disciplines.
This review also looked at age-related
effects. And perhaps the only thing that
really popped out from this literature
review in terms of age-dependent
differences that point to changes in
protocols that you might make is that
for individuals 65 or older,
a combination of physical and mental
training may actually allow them
to
gain and consolidate skills better than
were they to do physical training alone.
Now, whether or not that's due to some
lower upper limit of physical training
that they can do because of their age or
whether or not that something specific
to do with older versus younger neural
circuits is unclear.
But what this review also makes clear is
that for the vast majority of people out
there, so teens, people in their 20s,
in their 40s and so on, physical
training more effective than mental
training. We said that before.
Combination of physical and mental
training more effective
than physical training alone provided
the mental training is on top of the
maximum amount of physical training that
one could do. And of course mental
training more effective than no training
at all. Okay, so we talked about sets
and reps. We talked about, you know, 5
to 15 second epochs with about 15 second
breaks in between
or rest between sets if you will, repeat
it for 50 to 75 trials, done three to
five times per week.
Some of the conditions of keeping it
really simple, the importance of being
able to actually perform those sequences
in the real world, and so on. What we
haven't discussed is first-person versus
third-person and eyes open versus eyes
closed. What are we really talking about
here? Well, first-person mental training
and visualization would be where you are
imagining doing something and you are
seeing yourself doing something from the
inside out as opposed from the outside
in.
Imagine, for instance, wearing a head
cam, okay, or a body cam and doing
something with your hands
or being in virtual reality and having
the sense that whatever you see in front
of you and that's moving and that you're
doing, that's you. So, what I mean by
this is a mental training or
visualization protocol, for instance, if
you were at the piano or at a guitar
where you're actually looking down at or
sensing the feeling of your hands, but
you're not actually moving your hands.
Okay, as opposed to seeing yourself from
outside of your body, so looking at
yourself, say standing next to you or
from across the room, you're looking at
yourself playing the piano or playing a
guitar or swinging a golf club or doing
a tennis serve. Okay? First-person
versus third-person.
And what the data tell us is that
first-person mental training and
visualization is generally more
effective than third-person mental
training and visualization, which
perhaps raises another chorus of does
out there. But it needn't have been the
case, right? I mean, you could imagine
that seeing yourself doing something and
doing it perfectly because you've done
it perfectly once before, hopefully,
would allow you to build up that skill
more quickly because you have that
third-person perspective where you can
really see every aspect and every
element of what you're trying to
perform.
Well, turns out that the first-person
mental training and visualization is
significantly more effective than that
third-person mental training and
visualization. So, if what you're trying
to learn lends itself well to this
first-person mental experiencing of self
as you perform the cognitive and/or
motor skill, I suggest you do that as
opposed to the third-person version.
Now, what if what you're trying to learn
doesn't lend itself well to first-person
visualization? For instance, what if
you're trying to learn
a specific cognitive skill that doesn't
involve any overt motor behavior to be
observed?
Well, in that case, it's very clear that
closing your eyes, ideally, and trying
to perform that specific cognitive task
or the statement or the
uttering of a particular sentence in
another language or doing some sort of
computation or problem-solving of some
sort in your head, well, that itself, of
course, is first-person because it's
inside your own body. As opposed to, and
I don't know that anyone would actually
do this, but looking at yourself from a
third-person perspective in your mind's
eye and seeing yourself perform that
cognitive
challenge, whatever it that challenge
may happen to be. Okay? Now, we have to
address eyes open versus eyes closed.
And this is where the literature gets
pretty interesting. I always thought,
for some reason, I don't know why, but I
presumed that mental training and
visualization should always be done eyes
closed. But it turns out that's not how
a lot of studies of mental training and
visualization have been done and in fact
many of them have arrived at really
impressive protocols,
which are essentially the protocols that
I've distilled out and I'm listing out
during today's episode,
having people either watch videos of
themselves performing a given skill
and imagining themselves in
that role. And again, it's them. So
again,
during the mental training and
visualization, they're watching a movie
so they're somewhat in the third-person
perspective. I guess we could
technically say they are in the
third-person perspective, but they're
watching themself. So in doing that, we
know based on neuroimaging studies that
when we watch videos of ourselves doing
things, we experience that more from a
first-person perspective than if we
watch videos of other people doing
things.
Use your imagination here, folks.
So,
if you're somebody for instance who's
trying to get better at a particular
skill, this could be not just sport but
also public speaking, watching videos of
yourself doing that can be very
effective. But of course, we have to
come back to the first principle of
effective mental training and
visualization, which is that whatever it
is that we're trying to build up or
consolidate as a skill needs to be brief
and repeated. So what we're really
talking about here is watching
a video of ourselves on loop or
listening to a
audio or audio-video recording of
ourselves on loop for whatever aspect
that we're trying to build up or improve
upon. Now for people that for instance
are trying to get better at dealing with
public speaking
and there isn't a particular skill or
utterance of particular sentences or
words that they're trying to accomplish
but rather they're trying to learn to be
more relaxed or to articulate better in
the public speaking scenario, there
would be one of the few instances in
which I would suggest more general theme
and not exact recapitulation of some
specific words that you're going to say.
Perhaps it could be a sequence of you
walking out onto stage
toward the podium or out from the podium
and facing the audience and looking in
multiple directions up and down to see
people in every corner of the room and
just repeating that on loop in your
mind's eye or watching yourself do that
on video and making yourself calm in
your internal state as you're doing
that. This is more of mental autonomic
training because what you're really
trying to do is control your autonomic
nervous system, the nervous system
aspect that controls how alert or calm
you are as opposed to a specific skill.
However, you could also translate this
to
dance steps or to motor sequences for
playing an instrument
and so on. So, the point here is that
it's not as if there is zero utility to
third-person mental training and
visualization. There can be, but
first-person mental training and
visualization is going to be more
effective as I mentioned before and if
you're going to use third-person
mental training and visualization,
ideally you would be looking at yourself
either on video or listening to yourself
in audio and or video.
That is going to be more effective than
closing your eyes and trying to imagine
yourself from a third-person perspective
in your mind's eye. Okay, so just to
make it really simple, first-person
better than third-person visualization.
If you're going to go with third-person
visualization, try and go with real
third-person visualization where you're
actually seeing and or hearing yourself
on a screen. And again, this was
somewhat of a surprise to me. I always
thought that mental training and
visualization was done with eyes closed.
I thought, "Okay, you could close your
eyes, you imagine this, you imagine
that." That's actually not the case for
many, many studies, some of which are
considered real hallmark studies within
the field of mental training and
visualization and the different neural
circuits that it recruits.
And
along those lines, there's a really
interesting study that came out not that
long ago. This was just the summer of
2022.
I'd like to discuss in a little bit of
detail
because it really hammers home a number
of the principles that we talked about.
The title of the article is mental
practice modulates functional
connectivity between the cerebellum and
the primary motor cortex.
Going to tell you the essential features
of this study. First of all, primary
motor cortex
sometimes called M1 is a relatively
small but vitally important strip of
neurons in or near the front of your
brain.
The neurons there are called upper motor
neurons. They communicate through a set
of neural connections with what are
called lower motor neurons. The lower
motor neurons sit in what's called the
ventral horn of the spinal cord.
So, along the spinal cord, you have
sensory inputs coming from skin and
muscle and what's called proprioceptive
feedback that tells you where your limbs
are in relation to each other and to
yourself
and so on. You also have motor neurons
that live in the spinal cord. They're
actually the ones that send little wires
that we call axons out to the muscles,
release acetylcholine onto those
muscles, and allow those muscles to
contract. Lower motor neurons are the
ones that actually
generate movement. However,
they are largely responsible for
reflexive movements or already learned
movements and they require some input
from things like central pattern
generators and some other circuits
within the spinal cord and brainstem,
but it's those M1 primary motor cortex
neurons that are called upper motor
neurons because they control lower motor
neurons
through directed action, okay?
So, when I say primary motor cortex, I'm
really talking about those upper motor
neurons, M1. The cerebellum is an area
in the back of your brain. If you were
to look at a brain, you see two lobes
back there. They're highly foliated.
Foliated means that lots of lots of
folds and lots of bumps and grooves back
there, and actually means mini brain. It
looks like a kind of a mini brain
stuffed in the back of the brain.
In certain animals, the cerebellum is
much larger than the rest of the brain.
In humans, the cerebellum is relatively
small compared to the rest of so-called
neocortex, the outer shell the human
brain. The cerebellum is involved in
balance. It's also involved in eye
movements. It's also involved in timing
and motor learning. And the key thing to
understand is that the cerebellum
communicates with the primary motor
cortex and it can do so through what's
called inhibition. It has outputs that
inhibit the activity of neurons in the
motor cortex and elsewhere and that has
a profound influence on the execution of
motor behavior and the learning of
particular motor behaviors. Now, I don't
want to get into too much detail around
all this, but what you need to know is
that the cerebellum communicates with M1
primary motor cortex. M1 is primary
motor cortex, those are the upper motor
neurons that are going to control the
lower motor neurons and are going to
control physical behavior and execution
of physical movements.
The communication between cerebellum and
primary motor cortex
is inhibitory, although it can activate
motor cortex, too. And this gets into a
little bit of technical detail, but
there can be inhibition of inhibition.
So, if you take something that's a break
and you inhibit that break, what you end
up with is more excitation. Okay, so the
takeaway here that's key and everyone
should be able to understand even though
you may or may not be following this
whole cerebellum primary motor cortex
thing, is that when we gain a new skill
or we get more proficient at a skill, so
faster and more accurate, there tends to
be more net excitation of the cerebellum
to motor cortex communication. And that
is accomplished by reducing inhibition,
so that's where it gets a little bit
confusing to some. But, in this paper,
what they did is they explored people's
ability to improve on a very specific,
but very simple motor sequence. It's one
that you're already familiar with. It's
that tapping sequence that I talked
about before, where the thumb is digit
one, index finger number two, middle
finger number three,
ring finger number four and pinky finger
number five and it's a 1 2 1 3 1 4 1 5 1
2 1 3 1 4 1 5. And they had people
actually perform this and they measured
their speed and accuracy.
And then they had them do a practice
session that was either an intentional
task, so one group just looked at an
attentional cue and had to maintain
focus on that attentional cue. And
another group did mental practice. They
basically did 50 imagined trials. So
just in their mind's eye of this
12131415 repeat on repeat. Okay? 50
trials much in the same way as what I
referenced as the ideal protocol
earlier. Okay? 50 rounds of that. Then
they got tested again on the motor task
in the real world.
And there were also recordings of the
cerebellar to primary motor cortex
communication. So there were a bunch of
different results in this study. I think
are interesting, but the ones that are
most important are that, quote, "We
found that mental practice enhanced both
the speed and accuracy of this
12131415
performance in the real world when
people did these 50 imagined trials."
There are many results out there,
different papers, that
parallel and essentially say the same
thing as what is said in this paper.
Remember, there have been studies of
mental training dating back to the
1880s.
But what this paper really does, it
looks at the neural machinery and the
changes in the neural machinery. And
what they found using transcranial
magnetic stimulation both in the context
of stimulating but also recording
activity and connectivity between
cerebellum and primary motor cortex is
that mental training enhanced the net
excitation of cerebellum to motor cortex
communication. That is, it reduced the
inhibition in a way that allowed motor
cortex to generate these movements with
more accuracy and more speed. What's
also interesting about this paper is
that it showed that the improvement in
performance of this task was not related
to activation of the motor pathways
themselves. So it's not the case that
the cerebellum activation or inhibition
changed the patterns of excitation going
directly to the spinal cord
because those pathways actually exist
through a couple of intermediate
stations.
What it really showed is that when
people do mental training, and here you
could say okay, 50 trials, that's a lot
of trials, but it's not actually that
many trials. It's pretty fast learning
if you think about do a task in the real
world, do 50 trials of the imagined
task, do the trial in the real world
again.
Significant improvement in speed and
accuracy
through now what are becoming
to be established neural circuit
connections between cerebellum and
primary motor cortex. Okay, so this
study is one of several, but not a
tremendous number of studies out there
that are starting to really pinpoint the
underlying neural circuits that allow
mental training and visualization to
really improve motor skill performance.
But again, and please hear me on this,
in this study and in the vast majority
of other studies that have shown
significant improvement in motor
performance in the real world by use of
mental training and visualization, there
was an ability of each and every one in
the study to perform the specific motor
sequence in the real world that then
they were able to enhance with mental
training and visualization. Now, thus
far we've been talking mostly about
performance of motor sequences, and one
of the things to really understand about
performance of motor sequences
both in the real world and in the
imagined context is that it involves the
doing, it's what we call a go
action and not doing certain things.
What I mean by not doing? Well, for many
tasks out there, even ones as simple as
the 1 2 1 3 1 4 1 5 task that we talked
about a moment ago,
there is the need not just to tap those
fingers in the correct sequence as
quickly as possible, but also to be
accurate about it, to not do 1 3 1 4 or
1 3 and 4 at the same time. So, there's
both a go component, an action
component, and a withhold action
component. And the ability to withhold
action is strongly constrained by the
time domain. In other words, the faster
that we need to perform a given motor
sequence, the more likely we are to
perform incorrect components of the
motor sequence as well.
Okay? So,
one of the key things about mental
training and visualization that's really
remarkable is that it can also be used
and has been shown to improve not just
go aspects of motor performance and
cognitive performance, but also no-go
aspects of motor performance and skill
learning. Now, the go-no-go
thing is something I've discussed before
on this podcast in reference to the
so-called basal ganglia. Basal ganglia
are subcortical, so they're below that
bumpy surface of the human brain that
we're most accustomed to seeing
when we look at it from the outside.
And the basal ganglia are strongly
involved in go versus no-go type tasks
and learning.
Now,
there are only a few studies that have
really looked at the learning and the
improvement of no-go components of motor
learning, but these no-go components are
really, really important. In fact, if we
were to look at what's involved at
improvement in a golf swing or shooting
free throws or getting better at piano
or getting better at math or language
speaking,
I think it's fair to say that at least
half and probably as much as 75% of
motor learning
is about restricting inappropriate
movements or utterances
or
thoughts if what you're trying to learn
is purely cognitive. I think that's an
important point that
brings us back to our initial learning
when we come into this world, that
developmental plasticity, which as you
recall,
we have a lot of
interconnected aspects of our brain and
nervous system early in life. Remember
the example of the kid trying to eat and
getting the spoon of food and bowl on
their head, etc.
And then over time getting more accurate
at bringing food to their mouth and
eating in a in a clean way, things that
most but not all people accomplish in at
some point in the course of their
lifetime. Well, there haven't been many,
but there've been a few very interesting
studies looking at how mental training
and visualization can improve the no-go
aspect of motor learning. And I think
this is important to highlight because
it really mirrors what's done in the
real world as opposed to just the
finger-tapping type things, which are
mostly go tasks. Again, there's a little
bit of a no-go component there, but
there are specific tasks that people
have developed for the laboratory that
really closely mimic action learning and
cognitive learning in the real world.
And one of the more
um important of those is what's called
the stop signal task. Now, the stop
signal task is something that I'll
explain to you. I'll also provide a link
in the show note captions so you can try
it. It's actually a lot of fun to try
this because it really gives you a sense
of just how challenging some of these
laboratory tasks are. Let me just
describe it for a moment. The stop
signal task was really developed and
popularized by Gordon Logan and William
Cowan. Gordon Logan is at Vanderbilt
University and has done a lot of really
important work, uh but one of the
important aspects of his work is looking
at motor performance and skill
acquisition and the development of the
stop signal task. I'll describe the stop
signal task for you now in broad
contour. You or another research subject
would sit in front of a screen.
There are two keys on that keyboard or
two keys among the other keys on that
keyboard. One, which is designated left,
the other which is designated right. And
then on the screen, you'll be presented,
for instance, with a left-facing or a
right-facing arrow. So, in the initial
trial, what would happen is that arrow
would pop up on the screen and your job
is to press the left key
when the right-facing arrow is
presented, you press the right key.
Okay, pretty straightforward, but
there's a limited amount of time in
which you can do this. And the idea is
that you're going to need to do this
within approximately 500 milliseconds of
the presentation of that arrow, or else
it's going to tell you that you missed
that trial. Now, of course, if you press
the wrong key, so if the arrow goes left
and you press the right key, then you
would be told you got that one wrong,
okay? So, this is a reaction time test
and not one that's particularly novel.
What's novel and what Logan and Cowan
developed was that in the stop signal
task
every once in a while, not every trial,
but every once in a while
that arrow is presented and then with
some delay ranging from anywhere from
100 milliseconds to maybe 350
milliseconds, there would be a red
circle or a red X also presented, which
is a stop signal and your job is to not
press the key
that corresponds to the direction of
arrow. In fact, not press any key at
all.
Now, you can imagine how if the stop
signal shows up with a longer delay
after the presentation of the arrow,
there's a higher probability that you
will have already generated the key
pressing movement, okay? So, at the link
that we provide in the show note
caption, you can actually do these two
tasks and what you'll find is that
you and most people will be able to do
this
arrow to reaction time pressing of the
left or right key somewhere in the
neighborhood between 300 milliseconds
and maybe as long as 500 milliseconds
delay. You'll get an average of how
quickly you respond. And then, of course
if you choose to, and I would hope you
would choose to, go on and do the stop
signal task
you will be told trial by trial whether
or not you are hitting the right keys
because if you are, you'll be allowed to
progress to the next trial or if you are
told to stop
that is you get the stop signal and you
press the key anyway, you'll be told
that you made an error because you did
not stop. Now, again, with very short
delays between the presentation of the
arrow and the stop signal you are going
to be much better at inhibiting or
preventing yourself from the behavior at
the no-go aspect of motor execution,
that is. What you will find is that if
the stop signal is presented very
shortly after, let's say 100
milliseconds, which is very very brief
amount of time, after the presentation
of the arrow, there's a good chance that
you're going to be able to withhold the
key pressing behavior. However, if the
delay is anywhere from 200 to 350
milliseconds after presentation of the
arrow,
chances are that you're going to press
the button even when you shouldn't have
on at least some of those trials, okay?
And if you try and game the system and
wait a certain amount of time after the
presentation of each arrow, there will
also be times in which the stop signal
does not appear and you fail to hit the
button in the appropriate amount of
time. So, it's a fun little task. It
doesn't cost anything or
except maybe a couple of minutes of your
time. And if you do have time to go to
it, I think um it will give you a much
deeper flavor for the sorts of
experiments that we're talking about
here and that you'll find that these
stop signals are actually pretty hard to
generate when you're trying to learn
some new motor behavior. And that
actually illustrates a a bigger point
here. If today you sense that we've been
talking about studies of, you know,
tapping fingers and, you know, stopping
button presses and that
those examples are highly artificial and
don't really translate to the real
world,
well, keep in mind that the tasks that
are used in these studies really target
the specific neural circuits, that is
the same neural circuits that you would
use for the performance of essentially
any motor task. Now, of course, other
motor tasks like ones where you involve
your feet or cognitive tasks where you
have to think really hard about specific
information and search for that
information, assemble it in particular
ways, of course, involve other neurons
and neural circuits that we haven't
discussed today. But the core components
of these go and no-go tasks or these
stop signal tasks really capture the
core elements of most all of cognitive
and/or motor learning in some way that's
fundamentally important, okay? So, they
have real-world relevance.
The paper that I'd like to just briefly
describe to you is entitled motor
imagery combined with physical training
improves response inhibition in the stop
signal task, okay? So, that title is a
little bit wordy, but now you know what
the stop signal task is.
And what this paper essentially found
was that if people did physical
training, so the sort of experiment that
I just described, versus mental training
where they sat eyes open and imagined
their responses to those arrows and stop
signals, but they didn't actually
generate any key presses, versus a
combination of the physical training, so
the actual pressing of the buttons or
withholding of the buttons as the case
may be, plus mental training,
over the course of about 5 days, using
the contour described of the key
principles of mental training
performance that we've talked about.
I'll get to the specifics in a moment,
but it really obeyed
most all of what we've talked about, if
not all of it. So, repetition, simple,
repeated over about 5 days, and so on
and so forth. What they found was that
the mental training and physical
training group, so mental and real-world
training groups,
performed significantly better in the
stop signal reaction time. That is, they
were able to withhold action when they
needed to withhold action
more frequently and with more accuracy
than did either the physical training or
mental training groups alone. So, this
actually
spits in the face of what we said
earlier, which is that physical training
is always better than mental training,
and mental training is always better
than no training. And it's important to
point out here that both the physical
training and the mental training groups
experienced significant improvements in
their reaction time and accuracy at the
stop signal task, but in the case of
this study, which is exploring the
withholding of inappropriate behaviors,
the combination of mental training and
physical training outperformed either
physical or mental training alone.
So, while earlier we said that if you
have a certain amount of time in order
to train something up, physical training
is always going to be better than mental
training. Well, here we have somewhat of
an exception, where if the thing you're
trying to learn involves withholding
mistakes,
as opposed to trying to generate the
right behaviors per se, well, then
you are probably better off doing a
combination of mental training and
physical training. Let me state that a
little bit differently. If you're
finding that you're screwing up
something not because you can't initiate
that particular motor behavior, but
you're doing the wrong thing at the
wrong time,
you're not able to withhold a particular
action, well, then in that case, mental
training in combination with physical
training becomes especially important.
So, for you coaches, for you students
out there, keep that in mind
when trying to learn how to withhold
particular action sequences because
they're not serving you well in the real
world,
using a combination of
real-world training and physical
training is actually better for you on
an hour-per-hour basis
than is physical training alone. A
couple of key details about this study,
should you decide to implement these
protocols. In the study, they did
approximately 30 trials of the thing
that they were trying to get better at.
Now, they did those in the real world.
So, in this case, the stop signal task
involved actually pressing those
buttons, and then they had a test phase
of
about 144 go trials and about 48 stop
trials, okay? So, this is important. If
you are a coach or you're a student or
you're just going to self-direct this
kind of learning in your self-directed
adaptive plasticity, it's important that
you mix in both go and no-go trials,
okay? It wasn't always the case that
there was a stop signal generated.
The other thing that was really
impressive about the study is that the
changes occurred very quickly. So, the
training was performed five times over
five days. So, once a day for five days,
again, back to this three to five times
per week principle. And
the improvements were really significant
in some cases. In fact, if you decide to
peruse this paper, you can go to
table two
and you can see, you know, in some cases
a near doubling in the reduction in
reaction time through a combination of
mental and physical training compared to
physical training alone or mental
training alone. Again, however,
both physical training and mental
training groups
alone saw significant improvements, but
the combination of mental training and
physical training was far greater than
you would saw with either one of those
alone. So, that's all nicely quantified
for you in this paper. So again, I
really like this paper despite it not
involving a huge number of subjects. I
think it is a key paper because it
really points to
such an important element of motor
learning and training, which is this
action withholding component, this no-go
component that here is captured so
nicely in the stop signal task. So,
before we round up our discussion about
motor training and visualization,
I want to just briefly touch on some of
the studies that have explored why
certain individuals are better or worse
at motor training and visualization and
what that might correlate with. At the
beginning of today's episode, I briefly
mentioned aphantasia, which is
this phenomenon where some people just
simply
can't or seem to have extreme challenge
generating visual imagery.
There've been a number of studies
exploring how aphantasiacs, as they're
sometimes called, although
nowadays it's um
not considered polite,
if you will, to refer to people
according to their condition. So, for
instance, prosopagnosia
is a condition in which
people are unable to recognize
particular faces.
And in the past, these people were
referred to as prosopagnosics,
okay? As if their condition defined
them, uh right? Um nowadays, it's not
considered polite to do that. Rather, we
say the person has prosopagnosia or
suffers from prosopagnosia. Although,
the word suffer then also has become a
little bit touchy. Uh I'm going to do my
best to just try and be as clear as
possible here and explain that people
who have aphantasia can have aphantasia
to varying degrees. So, they can either
have a complete absence of ability to
generate mental imagery or they have a
poor or kind of rudimentary ability to
generate visual imagery in their mind's
eye.
It was thought that people who have
aphantasia
are not capable of what's called
synesthesia. Synesthesias are when
people have perceptual blending
and this is not while under the
influence of any kind of psychedelic or
other kind of drug.
Perceptual blending of an atypical kind
or rare kind. I actually have some
friends, two friends that have different
forms of synesthesia. One
associates different keys on the piano
or musical notes with specific colors in
a very, very one-to-one specific way.
So, they'll tell you that E flat on the
piano is a particular tone in their mind
of of amber hue.
Okay? And that
I forget what other key is associated
with a particular shade of red and so on
and so forth. Are these people better at
piano? Are they more perceptive of
colors in their environment? Not
necessarily so. This is just a
perceptual blending. It doesn't
necessarily lend itself to any improved
ability. Now, you could imagine why
people would hypothesize that people who
have aphantasia, especially it's its
extreme form, would not be capable
of or have synesthesias.
But, it turns out that's not the case. A
couple of really interesting papers,
again, we will
link these in the show note captions. Um
one is entitled, "What is the
relationship between aphantasia,
synesthesia, and autism?"
And the other one is "Aphantasia: The
Science of Visual Imagery Extremes." And
I really like the review, "Aphantasia:
The Science of Visual Imagery Extremes"
for those of you that are interested in
understanding aphantasia with more
depth.
The study addressing the relationship
between aphantasia, synesthesia, and
autism, found that
aphantasia is indeed linked to weak
visual imagery,
but
that aphantasics can also be synesthetic
and vice versa.
What was also interesting about this
study is they addressed the question of
whether or not people who have
aphantasia,
that is a challenge or inability to
generate mental or visual imagery,
tend to have features associated with
autism or residing somewhere on the
autism spectrum. And I'm not trying to
use ambiguous language here, but the
whole set of language and nomenclature
around autism and autism spectrum is
also undergoing revision now because we
are now coming to understand that
autism
and nowadays it's generally not
considered correct to call people
autistics in that sense, but autism
is considered one set of positions along
a spectrum that includes things like
Asperger's, et cetera, but that may also
include other aspects of cognition and
even personality. So, these are starting
to be viewed not just as a spectrum or
one continuum ranging from, you know,
non-autistic to autistic, but a lot of
variation and subtlety in between and
even crossing over with other aspects of
personality psychology and neuroscience.
Okay, so I'm not trying to be vague
here, I'm trying to be accurate rather
by saying the whole description and
categorization of autistic,
non-autistic, et cetera, is undergoing
vast revision right now. But the
important point I think from this paper
is that indeed it was found that people
who have aphantasia
tend to exhibit more of the features
that are associated with the autism
spectrum.
Now, how those things relate to one
another in terms of their clinical
relevance isn't clear, and of course it
is entirely unclear as to what's the
chicken and what's the egg there. So,
you could imagine, no pun intended, for
instance, that people that are on the
autism spectrum
might be less
proficient at generating visual imagery
because they are exceedingly proficient
at other things. You could also imagine
that people are placed onto the autism
spectrum as it's sometimes referred to
or are associated with particular
features on the autism spectrum because
in a causal way of the aphantasia. And
of course, it's extremely important to
highlight that not all people that
consider themselves or that people
consider autistic or that are on the
autism spectrum or Asperger's or any
variation thereof necessarily have
aphantasia.
Just as it is that not all people that
are on the autism spectrum
completely lack or even lack what's
called theory of mind, which is the
ability to sort of empathize and ascribe
feelings and motivations of others when
viewing the actions and perceived
feelings of others, okay? So, what I
just described hopefully doesn't come
across as just a bunch of words soup.
What I'm trying to pinpoint is that
there does seem to be a relationship
between one's ability to generate visual
imagery and certain constellations of
cognitive and emotional perception and
behavior. And vice versa, okay?
In a future episode, I promise to cover
synesthesia and autism and some of the
related
cognitive and motor aspects of autism
and things like Asperger's. I'm going to
feature an expert guest or actually
several expert guests in this area
because it is a rapidly evolving and
somewhat controversial field. Meanwhile,
I think it's important to at least
consider how mental training and
visualization might relate to certain
aspects of cognition and our ability to
visualize things, not just in terms of
other people's behavior, which is one of
the common ways that people probe for
autism and Asperger's versus
non-autistic and non-Asperger's and so
on, the so-called theory of mind task,
in effect, asking whether or not
children or adults can really get in the
mind of others. That's a of typical task
developed by Simon Baron-Cohen.
But also whether or not children and
adults are capable of generating mental
imagery in a really vivid way or whether
or not they have minor or even extreme
challenge in doing so. And perhaps the
most direct way to explain why I
included this aspect of the discussion
of mental training and visualization as
it relates to different cognitive
phenotypes or neurocognitive phenotypes
such as autism, Asperger's, etc. Is
because if you think about motor skill
execution or cognitive skill execution
and the relationship between mental
training and visualization and motor
skills or cognitive skills,
that's all pretty straightforward when
you're talking about finger tapping and
go no go tasks and learning piano and
things of that sort. But in many, many
ways,
our learning of social cognition, our
learning of how to behave in certain
circumstances, what's considered normal
or atypical,
neurotypical and neuroatypical if you
will, a lot of that
is not just generated from the inside
out, but it also involves observation
and visualization of what are considered
appropriate and inappropriate.
Definitely placed in quotes, by the way,
folks. I'm not placing judgment. I'm
just saying appropriate and
inappropriate for a given context
behavior. In other words, social
learning and social cognition is every
bit as much a learned behavior and
pattern of cognitive and motor patterns
as is tapping fingers or withholding key
presses in a go no go task. It's just
that it transmits into a domain that
involves smiling versus frowning versus
asking a question versus staying silent
versus sitting still versus fidgeting.
What's appropriate and when, what's
inappropriate and when. All of that is
what we call social cognition and it has
a direct parallels to everything we've
been talking about up until this point.
So today we did a deep dive, which is
often the case on this podcast, into
mental training and visualization.
During the course of the episode, I
tried to lay down one by one the key
components of an effective mental
training and visualization practice.
Everything ranging from making sure that
the practice involve brief epochs,
repeats of specific sequences of motor
and or cognitive behavior, that those be
relatively simple so that you can
imagine them even if you're somebody
who's not good at doing mental training
and visualization. And I should mention
that if you do mental training and
visualization repeatedly over time, you
get better at mental training and
visualization. There's a what's called
metaplasticity here. So it's not just
about engaging neuroplasticity of
particular circuits, it's also about
getting better at engaging plasticity.
So plasticity of plasticity.
I also described the key importance of
being able to actually execute specific
movements and cognitive tasks in the
real world if you want the mental
training and visualization to be
especially effective. And we talked
about the importance of naming things.
We talked about the importance of
creating not just one but many parallels
between real world training and mental
training and visualization. And really
on the whole what we established was
that cognitive and or motor learning
really is something that you should do
in the real world as much as possible,
but if you can't due to injury or
whatever conditions,
using mental training is a reasonable
substitute but not a complete
substitute. And if you can't do real
world training for whatever reason,
injury or otherwise, that mental
training is going to be better than no
training at all.
And of course we established that at
least for withholding action in order to
get better at a skill, a combination of
physical training and mental training is
going to be best, but that if you're
trying to learn a new skill and you're
having challenges with performing that
skill because of an inability to do the
skill in the first place or on a
consistent basis, well then on an hour
by hour basis, you're best off investing
your time into the physical training,
only incorporating mental training and
visualization if you are able to do that
on top of the maximum amount of
real-world training that you're capable
of doing. And of course we talked about
the actual neural circuits and a bit
about how the actual neuroplasticity
occurs. Early in the episode I mentioned
long-term depression. Well, in
describing the improvements in no-go
tasks, those stop signal tasks,
a lot of what's observed during those
tasks is an improvement or rather an
increase in long-term depression of
specific neural connections.
So my hope is that in learning about
those basic neural circuits and
plasticity mechanisms
and in learning about the critical
importance of focus and attention during
learning, both real-world and imagined,
as well as the importance of sleep and
deep rest for really consolidating
learning,
and the different tools, the
various steps or principles of effective
mental training and visualization,
that you now have a fairly coherent or
maybe even a very coherent picture of
how to develop the best mental training
and visualization protocols for you. I
realize that everyone has different
goals, everyone has different time
constraints.
If you are somebody that's interested in
developing a mental training and
visualization protocol, so if you're a
coach or teacher or simply a learner or
you're trying to self-direct your own
adaptive plasticity,
I want to emphasize that the key
components that we discussed today are
essential to include, but I wouldn't
obsess about whether or not a given
epoch is 15 or 20 seconds or even 25
seconds. I wouldn't obsess over whether
or not you got 30 repetitions in and
then your mind drifted or whether or not
you could do the full 50 to 75 or
whether or not even in your mind's eye
you made some errors.
What's been shown over and over again in
this literature is that performing
mental training and visualization
repeatedly and in a very restricted way
that makes it easier to perform those
trials over and over and over again
and with a high degree of accuracy,
almost always,
really, we can fairly say in essentially
every study where it's been explored has
led to improvements in real-world
performance of both cognitive and or
physical tasks. So, if you're trying to
learn anything at all, I do encourage
you to explore motor training and
visualization because
basically all the studies out there,
in fact, I couldn't find one exception
where some degree of improvement wasn't
observed when people use motor training
and visualization on a consistent basis,
even just a three to five times per
week, these simple repeats over and
over. So, I don't want to overcomplicate
or make it sound like mental training
and visualization has to be performed in
a very precise way or that it has to be
done perfectly each and every time.
Quite to the contrary, what is clear is
that mental training and visualization
is a very effective way to improve real
world performance. If you're learning
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you once again for joining me for
today's discussion all about the science
and effective implementation of mental
training and visualization. And last but
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