►
Description
In this video, author Jeff Hawkins talks to Numenta VP of Marketing Christy Maver about Part One of his new book A Thousand Brains. Part One: A New Understanding of the Brain unpacks the primary principles behind his groundbreaking Thousand Brains Theory of Intelligence. He highlights two of the key discoveries that led to the theory’s creation and how this powerful new framework lets us look at some of neuroscience’s problems with a new lens. #athousandbrains
Order A Thousand Brains here: https://www.basicbooks.com/titles/jeff-hawkins/a-thousand-brains/9781541675797/
Visit http://AThousandBrains.com for more information.
B
A
And
today
we're
doing
the
second
video
in
our
series,
where
we're
talking
about
your
new
book,
that's
out
on
march,
2nd
a
thousand
brains,
a
new
theory
of
intelligence,
so
in
in
this
video
today
we're
going
to
talk
about
part
one.
The
book
has
three
parts.
The
first
part
is
a
new
understanding
of
the
brain.
The
second
part
is
machine,
intelligence
and
part.
A
B
Yeah,
that's,
of
course
you
know
we're
talking
about
the
human
brain,
primarily,
although
scientists
study
lots
of
different
brains,
but
we're
going
to
talk
most
about
the
human
brain
and
in
the
human
brain,
there's
lots
of
different
parts,
dozens
of
different
little
regions
and
so
on.
But
there's
one
part
that
dominates
the
human
brain:
it's
the
neocortex,
sometimes
people
just
call
it
the
cortex
and
it's
about
70
of
your
brain.
So
it's
it's
the
big
wrinkly
thing
that
covers
almost
everything
else.
B
If
you
look
at
a
picture
of
a
human
brain,
so
we
study
that
primarily
and
the
book
is
primarily
about
the
neocortex,
although
we
can't
ignore
the
other
parts
of
the
brain.
So
the
book
covers
the
whole
spectrum,
a
bit
understanding
how
the
neocortex
works
relative
to
the
other
parts
of
the
brain.
So
you
can
kind
of
cover
the
whole
thing,
but
really
the
theory
that's
pretty
introduced
in
the
book.
The
discoveries
we've
made
are
about
how
the
neurocortex
works,
which
is
again
70
of
your
brain.
So
it's
really
it's
the
organ
of
intelligence.
B
It's
the
thing
that
makes
humans
unique.
It's
you
know
my
my
neocortex
is
speaking
right
now
and
yours
is
listening
and
seeing
things
it's
all
about
the
intelligence
is
all
about
the
near
cortex.
So
that's
primarily
what
the
book
is
about,
but
we
do
talk
a
lot
about
the
other
parts
of
the
brain
because
to
you
they
they
make
a
big
difference.
When
we
understand
what
humanity
is.
A
So
the
the
title
of
the
book-
a
thousand
brains,
of
course,
is
a
nod
to
the
thousand
brain's
theory
of
intelligence.
The
theory
that
that
you
were
mentioning
and
and
a
lot
of
part
one
is
really
about
the
discoveries
that
led
to
the
the
creation
of
the
theory.
So
can
you
talk
about
those
discoveries
and
and
kind
of
outline?
Some
of
the
key
points.
B
Before.
I
tell
you
those.
I
need
to
just
tell
you
what
generally
what's
going
on
in
your
brain,
one
of
the
most
important
things
that
realizes
that
intelligence
is
not
our
ability
to
take
some
input
from
our
eyes
and
ears
and
then
act
upon
it
immediately.
Intelligence
is
about
learning
a
model
of
the
world,
so
you
in
your
brain,
you
have
a
model.
You've
re
you've
stored
a
model
of
all
the
things
you've
seen
and
experienced,
and
it's
literally
a
model.
It's
it's
a
it's
a
it's!
B
It's
a
way
of
the
brain
can
can
say
how
does
the
world
work
and
what
do
I
know?
Where
is
where
and
what
is
what
how
things
work
and
feel,
and
so
on?
This
is
all
stored
in
the
neurons
in
your
head.
You
learn
this
in
your
life,
and
so
it's
all
about
building
a
model
and
intelligence
is
about
having
a
model
of
the
world.
It's
it's
and
the
smarter.
We
are
the
better.
Our
model
is
now
that's
a
pretty
common
understanding
of
the
brain.
B
Not
every
neuroscientist
understands
that,
but
it's
pretty
common
that
we
have
to
have
this
model
ahead.
What
we've
discovered
now
is
the
key
to
how
that
model
works
and
that's
really
fascinating.
Actually,
it's
just
totally
fascinating
and
the
the
two
key
discoveries
we
made.
We
did
not
anticipate
even
five
years
ago,
so
there
were
surprising
discoveries.
B
The
first
is
is,
and
you
have
to
understand
both
of
them.
The
first
is
that
that
the
neocortex
doesn't
have
one
model
of
the
world.
It
has
thousands
and
thousands
of
separate
complementary
models
of
things.
So
I
have
a
coffee
cup
next
to
me
right
here
and
I
say,
there's
a
model
of
what
coffee
cups
are
like
in
my
head,
because
I
know
how
to
use
them.
I
know
what
they
feel
like.
I
know
what
they
they
look
like.
I
don't
have
one
model,
the
coffee
cup.
B
I
actually
have
thousands
of
models
of
coffee
cup
there's
some
for
how
the
cup
feels
and
some
for
how
the
gut
looks
like
and
how
the
temperatures
and
so
on.
So
that
was
the
first
thing.
Is
that
it's
like
not
one
model,
there
are
thousands
of
complementary
models
and
they
vote
together
to
to
produce
our
consensus
model
of
the
world
and
the
second
big
discovery
was-
and
this
was
really
the
key.
This
is
the
thing
to
unravel.
The
whole
thing
is
that
we
learned
that
the
way
these
models
work
is
they
store
information.
B
And
what's
what
in
the
book
I
refer
to
as
reference
frames?
That's
just
a
fancy
word.
That
means
it's
a
it's
a
structure
you
can
think
of
it
like
a
x
y
and
z,
coordinates
something
like
that.
But
there's
a
structure.
The
neurons
literally
create
these
structures
where
information
is
stored.
So
when
I
think
about
the
model
of
the
coffee
cup
in
my
head,
there
literally
is
a
model
that
says
these
different
parts
of
the
cup
are
relatively
related
to
each
other
through
reference
frames
like.
B
Where
are
they
how
they're
positioned
relative
to
each
other
and
and
so
this
time
we
learn
the
structure
of
physical
things
like
the
coffee
cup,
but
it
also
turns
out
that's
how
we
learn
the
structure
of
everything.
So
if
we
learn
mathematics
or
we
do
language
or
we
do
politics
or
art,
it's
all
based
on
reference
frames-
and
we
understand
this
in
fairly
great
detail
now
and
it's
not
it's
not
something,
it's
something
everyone
can
understand
so,
but
it
takes.
B
I
have
to
walk
you
through
it
in
the
book
to
get
you
to
fully
grasp
it,
but
in
sense
it
tells
us
how
knowledge
is
stored
in
the
brain.
What
does
it
mean
to
know
something
and
how
that,
in
reference
names,
reference
frames
make
knowledge
actionable.
So
again
that
was
a
long
answer,
but
think
of
it.
This
way
the
neural
cortex
builds
a
model
of
the
world,
but
it's
not
one
model.
A
B
It's
hard,
you
know
when
you
write
scientific
papers,
it's
a
it's
they're
hard
to
read,
but
also
it's
very
difficult
to
tell
a
very
big
picture
story
and-
and
that's
what's
required
here-
you
know
because
when
you
do
a
scientific
paper,
you
kind
of
tackle
one
little
piece
of
it
here
and
a
little
piece
of
it
here.
Another
piece
here
and
it's
very
difficult
to
piece
it
all
together
instead
of
a
framework,
and
so
that's
the
book
really
plays
a
nice
role
in
that
regard.
That's
why
you
need
a
book.
A
B
Yeah,
that's
a
great
question
and-
and
I
described
in
the
book
how
we
developed
the
theory
where
we
started,
but
then
how
do
we
expand
beyond
that?
So
I
mean
I'm
going
to
give
you
a
little
story,
and
I
tell
this
story
in
the
book
about
a
famous
man
named
vernon
mount
castle,
who
was
a
neuroscientist
and
he
was
at
johns
hopkins
university
and
he
started
the
neocortex
and
many
decades
ago
he
proposed
a
surprising
idea,
and
I
got
now
you
imagined
in
your
brain.
B
You
got
this
near
cortex,
which
is
this
big
wrinkly
thing,
that's
70
of
your
brain,
but
it's
like
this
big
sheet
of
cells
that
get
wrapped
around
everything
else.
You
know,
and
so
it's
like
a
size
of
a
dinner
napkin
and
it's
like
two
millimeters
thick
and
different
parts
of
the
neocortex
do
different
things.
So
there's
parts
that
do
vision
and
language
and
touch
and
hearing
and
things
like
that
and
what
vernon
malcolm
proposed.
He
says,
even
though
there's
all
these
different
parts
of
the
near
cortex
or
that
seem
to
be
doing
different
things.
B
They
all
work
on
the
same
principle
that
they
all
are
essentially
doing
the
same
thing.
He
proposed
that
vision
is
the
same
as
touch
which
is
the
same
as
hearing
he
proposed,
then
that
everything
we
do
and
think
about
the
intelligence
is
really
based
on
the
same
algorithm,
which
is
incredible
idea
and
it's
just
huge
amount
of
data
supporting
it,
but
it's
very
very
difficult
to
figure
out
what
that
algorithm
is
like
what
what?
How
is
language
the
same
as
touching
you
know,
when
I
touch
my
coffee
cup,
how
does
it
relate
to
language?
B
A
very
very
I
make
a
point
in
the
book
saying
it's
a
little
bit
like
darwin's
proposal,
darwin's
proposal,
all
this
diversity
of
life
that
we
see
around
us
from
you
know
broccoli
and
plants
to
birds
and
fish,
and
humans
is
really
based
on
the
same
evolutionary
algorithm.
They
were
all
derived
from
the
same
thing,
and
that
was
a
surprising
idea
and
and
and
vernon
malcolm
proposed,
something
else
surprising.
He
said
this
everything
we
think
about
is
intelligence.
It's
really
the
same
thing,
it's
like
really.
How
could
that
be?
B
So
that's
a
long
way
of
saying
that
what
we
did
in
our
research,
we
said,
let's
focus
on
some
particular
aspect
of
intelligence.
If
we
understand
it
really
well,
then
we
can
expand
to
other
things.
So
we
we,
we
thought,
taught
a
lot
about
touch
and
vision
and
the
actual
discoveries
we
made
came
about
when
thinking
about
touch
and
how
literally,
what
has
to
happen.
B
If
you
have
an
object,
such
as
this
coffee
cup
and
you're,
moving
your
finger
over
it
and
for
your
brain
to
understand
what
it's
feeling,
it's
really
miraculous,
that
it's
going
to
do
that,
but
how
it
does
that
that
led
to
the
core
of
this,
this
discovery
about
the
reference
frames
and
the
different
models
and
so
on.
But
then
we
say
well,
if
that's
true,
then
it
has
to
apply
to
everything
else,
about
the
cortex
and
and
and
part
of
the
book
is
dedicated
that
I
have.
B
I
talk
about
vision
and
touch
and
hearing,
but
then
I
have
a
whole
chapter
called
concepts,
language
and
high
level.
Thinking
that's
chapter
six
and
that
chapter
says:
does
the
same
theory
apply
to
things
we
think
like,
like
mathematics
or
language,
things
that
you
aren't
even
physically
tangible,
like
like
a
coffee
cup,
you
know
and
and
can
the
same
principles
apply
and
it's
and
they
can't.
B
You're
moving
your
thoughts
through
a
space
in
a
reference
frame
and
recalling
stored
information
in
the
same
way
that
when
you
move
your
finger
over
the
coffee
cup,
you're
moving
in
the
reference
frame
of
the
coffee
cup
and
recalling
information
about
the
coffee
cup,
so
I
think
I
think
we
we
managed
to
bridge
that
gap
between
what
vernon
mount
castle
proposed
many
decades
ago,
which
seemed
impossible
at
the
time
to
like.
I
think
we
know
what
it
is.
B
B
Yeah
yeah,
I
think
you
know
yeah.
I
think
when
things
are
surprising,
then
it
sometimes
has
to
take
a
a
read
or
two
to
get
it
right
and,
as
you
pointed
out
earlier,
there
are
a
lot
of
surprising
things
in
this
book.
There's
I
mean
we've
gotten
enough
people
to
read
the
book.
Now,
we've
gotten
quite
a
bit
of
feedback
on
it
and
that's
one
of
the
common
themes
is
like
you
know,
people
say
well,
you
know
most
books
take
you
know
they
have
a
topic
and
they
develop
it.