►
From YouTube: DevoWorm (2021, Meeting 6): Darwin Day, DevoLearn, and Kindle book, PI theory, and assorted embryos.
Description
Darwin Day blog post (origins of cognition, model evo-devo-neuro systems, and phylogeography), lineage population prediction update, Ant, Spider, Centipede, and Plant Embryogenesis, and Positional Information (PI) theory. Attendees: Susan Crawford-Young, R Tharun Gowda, Bradly Alicea, Krishna Katyal, Mainak Deb, Richard Gordon, and Shruti Raj Vansh Singh
A
D
C
So
welcome
to
the
meeting.
I
have
a
bunch
of
things
today
to
talk
about.
I
don't
know
people
probably
come
in
as
we
go
along
so
I'll
probably
start
with
the
blog
post
for
darwin
day
that
I
did
and
we'll
work
from
there.
C
Yeah
hi,
how
are
you
thurin.
C
Everyone
was
slacking
me
about
some
data,
so
I
wanted
to
make
sure.
Maybe
he
had
something
to
present
or
something
else.
C
Anyways
so
yeah,
let
me
get
started
here.
C
We
have
my
knock
hello,
so
this
is
the
first
thing
I'll
talk
about.
Today
is
the
darwin
day.
C
Post
and
I
didn't
know
what
it
was
gonna
be
like
until
the
day
of
so
I
just
threw
this
together.
This
is
a
lot
of
good
stuff
in
it.
C
It
kind
of
bridges
like
development
and
theory
and
brains.
So
definitely
you
should
check
it
out
a
lot
of
links
in
it.
So
I
can
show
you
things
here,
but
it
won't.
You
won't
get
the
links.
C
Okay,
so
so
the
roon
says
I'm
having
issues
with
my
microphone.
I
found
the
files.
Thank
you
all
right,
and
then
I
just
wished
one
happy
new
year,
susan.
C
C
So
that's
good,
so
this
is
the
post
I'll
highlight
a
number
of
items
I've
run
across.
C
C
Philosophical
transactions
of
the
royal
society
and
it's
a
really
good
special
issue.
They
have
a
lot
of
different
articles
spanning
plants
and
origins
of
the
nervous
system
and
different
types
of
like
the
evolution
of
neurotransmitters,
elementary
nervous
systems
which
we'll
get
to
in
a
little
bit
and
so
reafference
in
the
origin
of
the
self
and
the
early
nervous
system
evolution.
C
So
you
know
it's
a
lot
of
interesting
stuff
about
like
sort
of
the
origins
of
cognition
and
and
biology,
and
michael
levin,
I
think,
is
one
of
the
editors
on
this
we've
mentioned
michael
levin,
a
couple
other
people
who
are
less
familiar
to
the
group
here.
But
this
is
a
definitely
a
good.
C
C
C
This
is
a
review
elementary
nervous
systems,
uncovering
cognitive
similarities
and
differences,
conservation
and
innovation.
That's
another
good
article,
so
I
definitely
urge
you
to
check
that
out
then
move
on
to
darwin
online,
which
is
a
repository
for
all
sorts
of
historical
things
having
to
do
with
darwin's
work
and
things
going
on
in
the
late
19th
century.
So
there's
a
lot
of
good
stuff
in
that
repository.
C
E
B
C
C
I
don't
think
so.
This
is
the
newest
work
so,
like
we
talked
about
this
a
couple
weeks
ago,
and
a
lot
of
the
simulations
of
continental
drift
are
like
maybe
a
half
a
million
years
at
best.
They've
pushed
this
back
to
a
billion
years,
and
I
don't
there's
a
paper
associated
with
this.
That's
this
paper
here
we
talked
about
this
a
couple
weeks
ago,
but
it's
they
kind
of
go
through
their
methodology
here
and
they
kind
of
talk
about
it.
C
C
So
actually
I
followed
up
on
that
in
the
post,
and
this
is
a
image
of
someone
who
did
this
kind
of
they
didn't
publish
it,
but
they
kind
of
did
this
on
their
own
where
they
took
the
tree
of
life
and
they
took
in
this
case.
C
It
was
like
you
know,
a
map
of
continental
drift
from
about
225
million
years
ago
to
today,
and
they
looked
at
like
how
the
continents
were
organized
which
which
continents
were
once
connected
and
which
ones
split
away
at
certain
times,
and
they
were
able
to
place
some
of
these
sub
trees
or
clades
on
different
places.
C
So
number
one
is
monotremes
and
they
place
that
here
in
pangaea
and
then
two
is
marsupials
estimated
some
sort
of
origin
on
laurasia,
I'm
not
really
sure
why
they
would
put
that
there
instead
of
down
and
because
australia
is
down
here,
we
associate
marsupials
with
australia,
but
you
know
sometimes
you
get
an
end
up
with
like
organisms
in
a
certain
place.
C
They
sort
of
survive
and
they're
wiped
out
everywhere
else,
but
their
origin
may
be
somewhere
else
entirely,
and
so
this
is
one
attempt
and
I've
not
actually
run
across
any
other
attempts
to
do
this.
This
is
something
I
couldn't
find
in
the
literature
where
people
were
actually
taking
like
the.
C
C
There's
a
field
called
phylogeography,
which
is
this,
is
basically
phylogeography
where
you
have
these
phylogenetic
trees
and
they're
mapped
to
some
sort
of
geographic
space.
You
know
like
continents
or
or
a
range
of
a
species
or
something,
and
but
you
know
a
lot
of
the
work
that
are
out
there
and
I
don't
know
I
haven't
really
done
a
deep
dive
into
it.
I
don't
really.
They
haven't
really
done
this.
They
do
stuff
like
they'll.
C
Look
at
like
you
know,
they'll,
look
at
like
the
tree
of
life
and
then
they'll
kind
of
look
at
extant
species,
and
you
know
it's
it's
not
at
the
scale
of
time.
So
definitely
not
I
mean
something.
That's
there's
definitely
an
opportunity
there.
Although
the
methods
probably
aren't
worked
out
for
it.
D
No,
it's
sort
of
not
my
area
of
expertise.
It's
interesting
I've
sort
of
always
known
about
it,
but
never
looked
into
it.
C
C
So
this
next
feature,
this
is
a
paper.
This
is
actually
an
evo
devo
paper,
so
we're
now
going
to
development,
and
this
is
nervous
system,
anatomy
of
the
brain.
It's
called
evolution
of
new
cell
types
at
the
lateral
neural
border,
and
this
is
in
develo,
developmental
biology,
journal,
so
they're
using
converging
evidence
from
genetic
regulatory
networks
and
anatomy
to
demonstrate
common
mechanisms
shared
between
invertebrates
and
vertebrates,
and
so
let
me
see
if
I
can
get
to
the
paper
here
yeah.
So
this
is
the
paper
here
and
you
know
they
have.
C
This
is
a
more
of
an
anatomical
study,
so
we're
not
talking
about
geography
anymore,
we're
talking
about
different
things.
Animals
have
become
increasingly
complex
by
the
addition
of
novel
cell
types
and
regulatory
mechanisms,
and
so
they
use
the
lateral
neural
border
of
the
the
brain
as
a
way
to
look
at
that.
B
B
Has
anyone
plotted
the
number
of
cell
types
versus
geological
time.
C
I
don't
I
I
haven't
run
across
that
graph.
I
don't
think
I
know
that
there's
that
book
by
bonner
that
we
talked
about
a
couple
years
ago,
but
he
didn't
do
that
yeah.
B
C
B
On
that
the
geophylogeny
thing
yeah,
what's
the
middle
initial,
oh
there,
it
is
for
carnivals.
C
B
C
Maybe
I
don't
know,
maybe
retired
or
something
I
don't.
C
So
that's
that's
that
paper,
and
so
that's
that's
a
evo
devo
paper
on
the
cell
types
and
then,
of
course
this
is
now
we
can
move
into
theory
and
we're
talking
about
neural
systems.
Now,
there's
neutral
theory,
the
neutral
theory
molecular
evolution.
This
is
the
50th
anniversary
of
a
famous
nature
paper
by
khmer
and
ota,
where
they
talk
about.
They
talk
about
neutral,
neutral
theory
or
the
molecular
neutral
theory,
and
so
that's
that's.
An
interesting
point.
C
Neutral
theory
postulates
that
most
biological
variation
is
expressed
in
selectively
neutral
genes,
meaning
that
they're
sort
of
random
and
they're
not
selected
for
so.
This
is
something
that
if
you
look
in
the
literature-
and
I
think
I
have
a
citation
here-
there's
a
controversy
between
neutral
processes
and
selectionist
evolution,
so
some
people
think
that
selection
plays
a
very
dominant
role
in
evolution,
and
some
people
think
that
this
these
neutral
processes
play
a
role
in
evolution
and
driving
the
diversity
that
we
see
on
the
planet.
C
And
I
mean
there
are
other
papers
too,
there's
also
a
ecological,
neutral
theory,
so
molecular
neutral
theory,
sort
of
branched
off
later
into
another
type
of
neutral
theory
called
ecological,
neutral
theory,
and
it's
a
bit
different
there's
a
lot
of
there
are
a
lot
of
differences
in
terms
of
the
scale
of
analysis
and
that
so
just
so
you
know,
if
you're
looking
at
the
literature
in
that
area
and
again
I
have
these
citations
at
the
bottom
and
then
finally,
we
return
to
neural
evolution
and
we
returned
to
us
several
papers
from
this
lab
cassandra
ex
devoir
she's,
a
evo
devo
eco
neurobiologist,
someone
called
that
work,
that's
the
name
that
someone
gave
it
at
this
conference
and
they're
looking
at
this
conference,
she's
looking
at
the
evolution
of
learning
and
memory
in
insects
in
drosophila.
C
C
They
do
a
lot
of
neuroscience
in
this
model
as
well
as
developmental
biology
and
so
there's
also
some
interesting
work
in
this
lab
on
insect
size
and
shape
and
egg
size
and
shape,
and
a
lot
of
things
like
that.
C
So
if
you're
interested
in
these
topics
go
to
this
post,
I
put
it
in
the
chat.
Here's
some
citations
and,
I
might
add,
a
few
more
citations
to
this.
This
is
interesting.
There's
a
data.
C
Talking
about
tectonic
plates,
we
had
an
earthquake
two
days
back
here,
so
that
was
in
surety,
where
surety
is
located,
they
are
moving,
and
this
is
the
research
profile
of
carlos
alvarez.
Okay.
So
this
is
the
guy
who
was
doing
the
work
on.
Actually
he
did
the
that
graph
I
showed
of
the
of
the
plate
of
of
plate
tectonics
and
phylogeny
and
he's
actually,
I
think,
a
biomedical
scientist
mainly,
but
he
does
he's
done
this
work
as
well.
So.
E
C
I
think
yeah
someone,
I
don't
think
that's
yeah,
it's
krishna
came
in
late,
so
you
can
read
that.
So
that's
good-
and
I
might
add
to
this
I
might
add,
a
few
more
references
to
it.
There's
a
data
set
on
egg
size
and
shape
for
more
than
6
700
insect
species.
That
looks
really
interesting
and
I
don't
know
yeah.
This
is
a
scientific
data
paper.
So
it's
a
description
of
the
data
set.
C
This
might
be
worth
checking
out
too.
So
this
has
like
a
lot.
I
know
we
talked
about
some
data
on
eggs
that
was
published
in
science
a
while
back,
but
this
actually
has
so.
It
says
like
where
you
have
egg
morphology,
the
species
and
there's
some
things
in
here.
C
B
C
Well
I'll
have
to
check
into
this
and
yeah,
we'll
have
to
maybe
look
at
some
egg
size
data
soon
see
what
that
looks
like,
because
I
know
we
talked
about.
We've
talked
about
egg
size
in
the
group
before
actually,
I
know
krishna
actually
isn't
kind
of
interested
in
that,
but
you
know
maybe
we
can
do
a
deep,
deeper
dive
into
that.
C
Okay.
So
the
next
thing
I
wanted
to
talk
about
was:
do
you
have
any
other
comments
or
questions
at
this
point?.
C
Okay,
the
next
thing
I
want
to
talk
about
was
in
in
preparing
that
blog
post
and
then
just
kind
of
interesting
stuff
that
I've
run
across
there's
some
other
kinds
of
embryos
that
we
might
think
about.
I
know
we
talked
about
in
this
group
c
elegans
embryos
and,
of
course,
there
are
human
embryos
and
mouse
embryos,
and
then
we
have
the
drosophila,
which
is
the
fruit
fly,
and
then
we
have
the
zebrafish.
C
I
think
that's
something
we've
worked
on
in
one
of
the
papers,
then
they
also
have
sea
squirts,
which
are
the
embryos
which
are
really
interesting.
Embryos
from
you
know
for
marine
invertebrates,
and
so
we
worked
on
that
I've
been
thinking
about
anson
plants,
so
I'm
going
to
talk
a
little
bit
about
ant
and
plant
embryos
and
spider
embryos
actually
too.
C
So
this
is
an
ant
embryo
here
this
is,
they
lay
their
eggs
in
their
embryos
that
they
lay
and
they
actually
have.
This
here
is
an
ant
carrying
this
cluster
of
eggs
that
the
embryos
inside
and
they
actually
have
this
interesting
symbiosis
between
carpenter
and
embryos
and
some
bacteria
and
there's
this
paper.
Well,
this
is
actually
a
quantum
magazine
article
that
talks
about
this.
C
So
there
are
a
lot
of
interesting
relationships
between
ant
embryos
and
what
they
call
symbiosis.
But
ant
embryos
are
interesting
on
their
own.
They
have
a
nice
an
interesting
developmental
period
set
of
developmental
phases,
so
you
start
with
the
egg,
and
then
you
go
to
the
larva.
C
Then
you
go
to
the
pupa
and
then
you
have
the
adult
hand.
So
you
have
these
these
different
life
stages,
and
I
should
say
that
c
elegans,
you
have
something
somewhat
similar.
You
have
a
an
egg
for
c
elegans
and
then
you
have
larval
stages
which
are
actually
they
look
like
more
like
a
small
version
of
the
adult
worm
than
ant
larva.
C
Then
they
have
this
pupa.
Actually
they
do
have
a
pupa
stage
and
c
elegans.
The
pippa
stage
is
this
dower
stage
where
they
right
around
their
second
to
third
period
of
of
our
their
second
or
third
larval
stage
they
can
sometimes
in
in
places
in
in
times
of
environmental
scarcity.
C
C
C
Of
them
in
this
case
this
isn't
a
very
good
shot
of
the
cells
per
se,
but
this
is
an
intracellular
adapter
protein
that
they're
looking
at,
and
this
is
actually
in
drosophila,
but
so
and
then
oh,
this
is
drosophila,
but
this
is
the
ant
comparison
here.
So
you
can
see
that
there's
a
a
you
know,
a
relationship
between
ants
and
drosophila
as
well.
D
C
C
No
not
compared
to
you,
but
so
then
we
move
on
to
spider
embryos
and
again
these
are
like
spiders
are
not
diffic
that
difficult
to
find.
Generally,
I
mean,
if
you're,
in
a
in
the
middle
of
winter
time
in
north
america,
it's
very
hard
to
do,
but
you
know
you
can
find
spiders
in
most
parts
of
the
world.
This
is
a
the
embryonic
development
of
the
central
american
wandering
spider
coupeenius
away,
and
this
is
a
nice
shot
of
a
spider
embryo
sort
of
in
a
stage
of
of
development.
C
Here
you
can
see
the
top
of
the
embryo,
and
you
can
see
this
part
here
which
is
starting
to
differentiate
spider.
Embryos
have
a
lot
of
interesting
sorts
of
phases
to
their
evolution,
so
this
or
their
their
development.
So
they
have
this
these
different
stages
of
development,
so
this
is
the
morphogenesis
of
the
head
region.
Oh,
this
is
a
spider
with
a
bunch
of
eggs
in
it
it's
going
to
lay
the
eggs,
so
this
is
their
egg
sac.
C
This
is
the
morphogenesis
of
the
head
region
of
a
spider
species,
and
this
is
a
schematic
drawing
of
the
embryonic
heads
stage.
10
11
12
13
14,
I
think
that's
it
and
then
the
stages
yeah.
So
this
is
stage
10
here
stage,
11
stage,
12
stage,
13
stage
14.
C
these
these
dark
gray
areas
are
non-neurogenic
ectoderm.
Then
it
gradually
overgrows
the
neurogenic
ectoderm.
So
this
is
the
neurogenic
ectoderm
here
this
is
the
non-neurogenic,
and
these
are
just
layers
or.
C
You
know
different
the
we
have
the
three
layers
of
cell
type
and
this
is
different
versions.
You
know
different
sort
of
with
different
types
of
potential,
so
this
is
neurogenic
versus
non-neurogenic,
so
this
is
just
showing
sort
of
the
formation
of
the
outer
head
and
how
that
happens
in
spiders.
C
So
these
are
well
somewhat
well
characterized.
So
again
there
and
there.
I
know
we
have
some
spider
dad
I'll
talk
about
it
later
in
devo
zoo,
but
this
is
just
giving
you
an
idea
of
what
what
they
look
like
then
I
said
ants
and
plants,
so
I
talked
about
ant,
spiders
and
now
plants,
so
this
is
arabidopsis,
which
is
thale
crest,
and
this
is
something
it's
a
flowering
plant
that
you
find
around
the
world
again.
C
This
is
an
example
of
an
embryo
here
of
arabidopsis.
This
is
a
light
microscopy
image
here.
This
is,
you
know
the
different
stages
of
development,
so
you
have
the
octant,
the
16
cell,
the
globular,
the
transition
and
the
heart,
the
late
heart,
the
torpedo
and
the
seedling.
So
these
things
go
from
like
little
balls
of
dna
and
a
couple
cells
and
they
grow.
C
So
it's
a
little
bit,
I
mean
it's,
you
know
different
than
what
you
might
see
in
animals,
but
arabidopsis
actually
is
a
model
organism
for
plant
embryogenesis.
So
I
thought
I'd
pull
this
up.
This
is
a
better
image.
This
is
so.
C
Let
me
walk
you
through
this
image,
so
this
is
actually
an
em
or
an
electro
electron
microscopy
image
of
the
ovules,
so
the
ovals
are
like
the
places
in
the
plant
that
house
eggs
or
seeds,
and
this
is
a
nice
high
resolution
image,
but
then,
when
they're
fertilized
and
they
start
to
grow,
you
have
these.
So
you
have
the
heart
here,
and
this
is
a
close-up
of
the
heart,
the
cells
heart,
the
torpedo,
the
walking
stick,
which
is
this
longer
one,
the
bent,
cotyledon
and
so
they're
kind
of
going
in
this
sequence.
C
They're
going
from
this
heart
to
torpedoes.
To
these
walking
sticks
and
then
the
bent
versions
of
this,
and
that's
how
the
that's
how
they
sort
of
this
is
the
time
lapse
over
over
embroidery
genetic
time,
and
this
is
a
paper
that
you
can
read
more
about
this.
C
So
finally,
I
wanted
to
talk
about
devo,
zoo
and
like
what
we
have
in
devo,
zoo,
so
devo
zoo.
Of
course,
I've
mentioned
it
before
is
a
source
of
data
for
different
embryos
and
different
data
data
sets,
or
most
of
them
are
image.
Data
sets
some
of
them
are.
C
We
have
do
have
some
like
x
or
some
csv
files
of
different
things
here
for
c
elegans,
so
that's
process
data,
but
we
have
a
lot
of
movies
for
spider
embryos
and
basilaria,
which
are
protists,
and
so
we
have
those-
and
one
of
the
things
that
this
slideshow
is
kind
of
made
me
think
about
is
how
we
might
acquire
some
other
species.
C
So
we
have
spider
in
place.
We
don't
have
anything
from
the
plant
kingdom,
I
don't
know
what
is
publicly
available
in
arabidopsis
and
I
don't
know
what's
publicly
available
on
ants,
but
that
might
be
worth
looking
into
and
again
we
might
also
look
at
the
egg
what
people
have
in
terms
of
eggs
and
egg
morphology,
and
I
haven't
put
anything
there.
We
might
actually
process
some
data
for
that
and
put
it
up
with
sort
of
in
this
format
where
we
have
the
csv
files.
People
can
work
from.
C
So,
let's
see
dick
said
in
the
chat
table
of
eggs,
so
this
is
the
tsinski
and
gordon
reference
for
mean
ice
field
icing
model
for
cortical
rotation
in
amphibian,
one
stage,
one
cell
stage,
embryos.
This
is
a
paper
that
was
published
about
eight
years
ago
and
then
quail
eggs
can
wait
for
an
incubator.
C
B
B
D
I
can
take
some
images
of
some
seeds
sprouting
yeah
yeah,
like
that's,
probably
easier
than
getting
aslo,
but.
B
B
B
C
B
B
B
So
that
it
might
be
occurring
in
the
ethical
inertia.
C
Yeah
yeah
be
good
yeah.
That
sounds
good.
We'll
follow
up
on
that
in
the
coming
weeks,
but
yeah
think
about
that
more.
We
can
talk
about
it
more.
B
C
Looks
like
my
knock
wants
to
share
some
progress
he's
made
regarding
improving
diva
learn.
Would
you
like.
C
E
Yeah,
of
course,
hello
everyone,
so
I've
been
working
on
for
quite
a
while
now
and
I
was
actually
working
on
trying
to
improve
the
lineage
population
prediction.
C
C
E
C
E
So,
like
last
to
last
week,
I
had
shared
a
new
breakthrough
kind
of
a
thing
that
happened
like
I
was.
E
E
E
E
E
Busy,
so
I
couldn't
really
send
the
p
app
so
I'll
be
sending
the
pr
by
tomorrow
or
at
most
friday
after
tomorrow,
so
yeah,
that's
something
I
was
working
on
and
yeah
I'll
send
the
pr
and
I'll
let
bradley
in
when
I
grow
so
yeah.
That's
what
I
wanted
to
talk
about
so
yeah
thanks
for
your
time,
yeah
yeah.
C
So
that
was
something
that
we
talked
about
last
week.
Sort
of
you
know
it
was
kind
of
in
progress,
so
yeah,
that's
and-
and
I
like
the
results,
it
looks
pretty
good.
So
for
the
most
part,
it's
it's
identifying
it
with
less
loss
and,
of
course,
in
some
of
the
data
I
know
what
data
set
you're
working
on
so
you're
working
on
the
I
think
the
epidemic.
E
C
Yeah,
so
that's
you
know,
that's
going
to
have
like
some
of
the
videos
are
like
they
just
record
from
embryo.
You
know
it's
not
necessarily.
C
You
know
aligned
perfectly
so
the
videos
have
different
fragments
of
development
as
they
you
know.
So
it's
it's
not
all
the
same
period
and
sometimes
the
you
know.
The
quality
can
vary
because
they're
actually
looking
at
fluorescent
markers
more
than
the
cells
themselves,
and
so
you
can.
E
C
That
out
of
it,
but
that's
their
imperative,
so
some
of
the
images
aren't
as
good
and
so
that
that
makes
sense
so
yeah
we'll
have
to
yeah
thanks
for
doing
that,
please
issue
it
absolutely
so.
C
Like
I
can
thank
you,
can
you
share
it
again.
E
C
So
I
think
krishna
has
sent
a
message
about
his
evolution
paper
or
his
submission,
and
he
said
something
about
a
paper
being
completed.
Can
you
update
us
on
that
krishna
just
interested
to.
C
C
C
Sure,
that's
that's
good
yeah.
We
also
talked
about
well.
I
talked
about
with
krishna
about
doing
a
a
separate
session
for
some
of
the
summer
of
code,
like
basically
like
an
onboarding
session.
So
this
would
be
something
that
would
be
separate
from
the
monday
meetings,
something
we
can
focus
on
the
onboarding
for
potential
contributors
or
students.
They
want
to.
You
know,
learn
things
about
the
data
sets
or
whatever,
and
I
think
that
would
be
a
good
idea.
C
C
So
it'd
be
your
evening,
otherwise
I
can't
really
make
it
because
I
can't
make
it
at
like
four
in
the
morning
my
time
and
then
my
time
like
in
the
afternoon
would
be
too
late.
I
think
for
you
yeah,
so
why
don't
we
find
a
time?
Why
don't
we
send
out
a
a
schedule?
We
can
do
that
and
then
set
up
a
time
and
then
it'll
work
for
I
think,
for
every
time
zone
I
mean
north
america,
europe
and
india.
C
I
think,
if
krishna,
if
you
want
to
send
out
a
schedule
on
that,
we
can
organize
it,
and
then
I
know
they're
ruining,
are
interested
in
this
and
contributing
as
well.
So
they
might
get
involved
and
then
mayak,
because
I
think
he's
he
well
he's
gonna
be
a
mentor
for
this,
so
we'll
try
to
get
him
on
board
as
well.
C
C
Okay,
you
can
see
my
screen,
so
we
don't
have
a
lot
of
stuff
on
here
right
now.
We're
kind
of
knocking
down
some
of
these,
so
this
evolution
kill
the
winners.
This
is
something
that
krishna
is
proposed
for
evolution,
2021
and
he's
says
that
he's
got
some
progress
on
that,
and
so
this
deadline
is
march.
1St
and
again
we
don't
have
to
me,
you
know
if
this
isn't
the
best
venue
we
can
submit
to
something
else.
I'm
just
matching
up
these
submissions
with
venues
and
times.
C
I
also
have
something
called
euler
paths
for
life,
which
is
this
thing
that
I
presented
on
I
think
last
year,
and
that
is
let's
see
here.
It
is
so
I
have
two
versions
of
this.
I
have
a
network
science
version
and
an
evolution
of
development
version,
and
the
difference
is:
is
that
the
the
jargon
is
this
is
more
sort
of
biologically
friendly.
C
It
doesn't
have
a
lot
of
network
jargon
in
it
and
then
this
version
has
more
network
jargon
in
it,
because
it's
for
network
science
bless
you-
and
this
is
you
know
this
will
be
worked
out
over
time.
This.
This
version
here
is
going
to
be
submitted
as
a
full
paper,
so
this
will
be
worked
out
as
a
full
paper,
but
this
this
one
here,
the
evolution
development
version
is
going
to
be
submitted.
C
I
think
to
evolution
as
a
just
a
abstract
and
we'll
see
if
they
go
for
it
or
you
know
I
think
it'll
be
good
to
have
like
these
two
tracks,
because
it's
an
interesting
topic,
but
it's
not
you
know
we
have
this
difference
in
language
between,
like
you,
know
more
by
a
more
biological
audience
and
a
more
sort
of
computational
audience,
but
in
any
case
that's
something
if
you're
interested
in
contributing
to
that
it's
open
for
contributions.
The
deadline
here
is
march
1st.
C
Let
me
make
a
detail.
I'll
put
this
in
the
details
here
yeah
here.
Actually
this
would
be
the
details.
C
So
that's
the
link
for
that
repository
and,
if
you're
interested,
you
can
make
a
pull
request
and
push
some
changes
to
that.
If
you
think
there's
something
we
should
cover
in
that
the
diva
learn
flash
talk.
I
did
this
monday
or
actually
tuesday,
last
tuesday.
So
this
is
this
conference
on
education
and
in
virtual
worlds.
Basically,
like
you
know
online
education
so
forth,
it
was
a
pretty
interesting
conference.
It
was
a
lot
of
unconference
topics.
C
They
talked
about
running
hackathons,
for
example,
which
is
like
you
know,
a
sort
of
an
event
where
you
can
work
out
problems
and
you
meet
virtually,
and
I
know
that
the
open
worm
foundation
has
had
a
couple
of
hackathons
on
different
topics,
and
so
I
had
some
insights
to
share
with
the
people
there.
We
were
putting
together
a
guide
for
you
know
where
we're
gonna
be
working
on
this
guide.
For
you
know,
academic
hackathons,
so
we'll
see
how
that
goes,
but
I
actually
gave
this
flash
talk.
C
This
was
like
about
an
eight
minute
talk
and
I
went
over
it
last
week
with
with
the
group,
so
I
mean
it
was
you
know
just
the
basic
introduction
of
diva
learn
how
it
originated,
the
you
know,
educational
potential
for
things
going
on
and
evil,
learn
and
so
forth,
and
so
people
were
excited
about
it,
but
I
wanted
to
get
it
out
there
and
get
people
interested.
C
I
haven't
had
any
you
know,
contacts
about
it
since,
but
I
mean
you
know
it's
something
that
people
saw
and
I
think
they
were
pretty
excited
about
it.
So
we'll
have
to
work
on
the
paper
that
we've
been
talking
about
and
get
that
out
as
well,
and
then
maybe
you
know
this
is
something
that
we'll
build
upon.
We
can
use
the
paper
and
this
flash
talk
to
advertise
it
to
people,
so
they
can
learn
more
about
it.
C
This
growth
forum
and
theory
of
deep
learning
this
again
is
outstanding.
I
well
actually
let
me
update
this.
This
was
the
one.
So
this
is
the
steve
learned
paper.
I
haven't
put
that
on
here:
yeah
all
right
and
we'll
just
put
that
as
the
deadline.
G
C
Okay,
so
did
you
want
to
update
us
on
wait
as
we'll?
Do
it
now.
G
G
Okay,
so
in
the.
B
Last
meeting
I
was
talking.
C
G
I
have
you
know
a
very
initial
setup
regarding
that.
So
since
we
are
planning
to
launch
your
free
uk
driver
book,
that
will
be
open
source
and
it
will
be,
you
know
somewhat
and
you
can
say,
mixture
of
computer.
G
Biology
something
like
that-
and
I
have
you
know
design
this
kind
of
outer.
You
can
say
how
the
book
will
look
from
the
outside,
and
this
is
something
that
I
you
know
part
would
be
nice.
We
can,
you
know,
alter
that,
and
these
are
the
proposed
chapters
that
what.
G
D
E
G
C
G
C
C
D
C
G
E
C
Okay,
I
think
he
got
disrupted
yeah
so
that
that's
good.
Also
in
the
book
title
krishna,
the
surnames
are
reversed.
In
some
of
the
there
we
go
it's
okay,
some
of
the
in
the
book,
titles
that
you
showed
some
of
the
surnames
are
reversed
yeah.
I.
G
C
Those
you
know
yeah
yeah
and
then
the
content
for
that
would
be
fleshed
out
over
time
like
I
think
we
have
some
of
the
content
already,
so
we
can.
E
G
C
Also
dick
had
a
question
about
history,
computers
and
biology
started,
at
least
in
the
1960s.
So
I
don't
know
if
we
want
to
put
a
historical
background.
Usually
books
do
have
the
historical
background
in
it,
but.
G
C
E
G
D
C
C
C
Currently,
that's
myself
dick
and
george,
who
isn't
in
the
meetings
but
he's
interested,
there's
jesse
in
the
in
the
excel
file.
So
and
then
this
venue,
this
is
for
biosystem
special
issue.
B
C
Yeah
yeah,
that's
that's
that
one
and
then
so.
C
Yeah
the
waves
issue,
so
this
is
the
let
me
put
in
details
here
waves
issue,
and
then
we
have
the
other
paper
here,
the
periodicity
and
the
embryo,
which
of
course,
we've
talked
about,
and
that
has
there's
some
still
some
work
to
do
on
that.
We
have
to
find
a
video
for
that.
So
people
know
about
like
a
good
sort
of
public
like
a
public
access
like
a
wikimedia
style,
video
of
of
cell
division
and
and
things
like
that.
Let
us
know
because
we're.
E
C
Looking
for
that
for
the
for
the
final
version
of
periodicity
in
the
embryo
and
then
boring
billion,
probably
improving
upon
some
of
the
graphics,
I
I
showed
some
graphics
from
that
a
couple
weeks
ago,
so
that
that'll
probably
be
improved
upon
and
then
the
kindle
book
has
an
on,
like
we'll
figure
out
the
deadline
on
that.
C
I
also
have
this
paper
or
this
abstract
and
submitting
to
networks
or
netsci
2021
on
embryo
networks
and
connectomes.
I'm
going
to
submit
that
in
a
couple
days
the
deadline's
coming
up.
What
but
we'll
we'll
you
know.
Hopefully,
if
it
gets
accepted,
we
can
talk
more
about
it
in
the
meetings
and
other
people
maybe
can
participate
in
it.
C
This
is
the
euler
paths
for
life.
This
is
the
full
paper.
This
is
targeted
for
complement
2021
and
that's
a
march
26
deadline.
So
that's
a
little
bit
in
the
future.
The
divo
learned
paper.
I
already
have
that
here.
So
that's
preprint
right
now
and
we
might
submit
it
somewhere.
C
Then
this
bacillary
and
honorable
cognition.
This
is
for
the
book,
mathematics
of
diatoms
and
that's
due
april
30th.
So
we
have,
I
think,
we're
you
know.
We're
coming
along
on
our
deadlines.
C
If
you
want
to
work
on
anything,
let
me
know
we
can
go
over
the
deadlines
again
in
the
near
future.
I
think
you
know
if,
if
you
have
some
new
ideas,
we
can
put
them
on
there,
but
I
think
right
now
we're
pretty.
We've
got
a
lot
going
on
so
so
finish
off
and
I
know
some
of
you
have
to
leave
at
the
top
of
the
hour,
but
I
wanted
to
go
over
a
couple
papers
that
I
found.
G
C
So
why
don't
I
go
over
the
papers
and
again,
if
you
have
to
leave,
that's
fine
so
that
I
have
a
lot
of
things
actually
here,
but
I'm
not
going
to
go
over
all
of
them.
C
This
is
the
paper
again
like
I
mentioned
in
when
I
was
going
over
the
the
blog
post.
This
is
the
scientific
data
paper
on
a
data
set
of
egg
size
and
shape
for
more
than
6
700
insect
species,
so
they
have
morphological
descriptions
of
insect
eggs
with
records
for
six
thousand
seven
hundred
and
six
unique
insect
species
and
representatives
of
every
extant
exopod
order.
C
So
this
is
a
lot
of
data
here
and
it
shows
this
data
set
includes
ex's
volume
span
more
than
eight
orders
of
magnitude,
and
so
this
this
data
set
was
assembled
by
automating
the
extraction
of
egg
traits
from
the
primary
literature.
So
a
lot
of
the
primary
literature
has
like
a
lot
of
descriptive
aspects
to
it,
and
you
know
they're,
just
basically
extracting
those
and
making
a
data
set.
So
this
is,
you
know
a
nice
way
to
get
a
big
data
set
together.
C
We'll
have
to
investigate
this
and
then
there's
this
associated
paper
insect
egg
size
and
shape
evolve
with
ecology,
but
not
developmental
rate,
and
so
in
this
paper
they
talk
about
over
the
course
of
evolution.
Organism
size
is
diverse,
has
diversified
market
markedly
changes
in
size
are
thought
to
have
occurred
because
of
developmental
morphological
and
ecological
pressures
to
perform
these
phylogenetic
tests
so
they're
looking
at
like
the
effects
of
each
of
these.
C
So
this
is
either
the
developmental
process,
the
actual
shape
and
physical
aspect
of
the
egg
and
then
or
organism
size,
and
then
ecological
pressures
like
you
know,
drought
or
temperature,
or
something
like
that,
and
so
they
generated
this.
So
this
is
talking
about
the
data
set
that
they've
generated
and
then
combine
these
with
genetic
and
life
history.
Data
set
so
they're,
actually
combining
more
data
sets
in
this
paper.
C
C
So
I
think
we've
talked
about
this
in
previous
weeks,
where
there
are
these
scaling
laws
that
describe
the
size
of
an
organism
and
there's
a
trade-off
with
like
different
things
like
genetic
control,
or
you
know,
ecology
like
whether
you
know
there's
food
available,
and
so
they
you
know
they
look
at
that,
and
they
say
that
doesn't
really
adequately
explain
the
diversity
in
egg
shapes.
C
C
Instead,
we
find
that
the
evolution
of
parasitoidism
and
aquatic
aquatic
oval
position
help
to
explain
the
diversification,
diversification
in
the
size
and
shape
of
insect
eggs,
and
so
this
is
paris
parasituitism
is,
I
think,
like
you
know
something
to
do
with
parasites,
and
then
aquatic
oval
position
is
like
the.
C
I
don't
really
know
how
they
define
that,
but
it's
something
about
how
they're
laid-
and
you
know
it-
helped
to
explain
the
diversification,
the
size
and
shape
of
insect
eggs.
Our
study
suggests
that,
where
eggs
are
laid
rather
than
universal,
elementary
constraints
underlies
the
evolution
of
insect
egg
shape
and
size,
so
this
must
be
aquatic.
Oval
position
must
be
where
they're
laid
in
like
an
aquatic
environment,
so
they
go
through
this
paper
and
you
know
it's
pretty
technical,
but
they
give
you
some.
You
know
they.
They
analyze
their
data.
C
C
You
can
have
you
know
spherical
eggs
at
one
and
then
you
can
have
these
elongated
eggs
at
eight,
and
so
0.25
is
where
it's
squashed
and
then
it's
stretched
out
on
that
same
axis
and
eight,
and
so
all
these
shapes
are
shown
here
in
terms
of
egg
volume
and
then
they're
shown
in
terms
of
the
phylogeny
or
the
tree
of
life
here.
C
So
you
have
different
groups,
like
you
know,
genus
what
they
call
genera,
so
they're
different
groups
of
species
along
this
axis,
and
they
show
that
egg
volume
does
correspond,
something
you
know
somewhat
to
this,
but
there's
a
spread
in
terms
of
the
actual
shape
of
the
egg,
and
so
that
you
can
see
that
these
colored
dots
are
colored
based
on
these
taxes.
So-
and
so
this
is
so,
they
have
this
really
long
very
detailed
graph
here,
but
they
basically
show
this
this
idea
of
a
llama
tree.
C
So
you
have
these
linear
functions
that
describe
growth
relative
to
some.
You
know
as
like
you
might
have
like
in
this
case
it's
egg
length
versus
egg
width,
and
so
you
have
all
these
like
trends
across
species,
and
you
can,
you
know,
plot
them
out
and
then
draw
a
function
through
those
points
and
describe
some
sort
of
scaling
relationship
between
you
know.
Is
you
have
like
an
egg
of
a
certain
size
and
shape?
C
C
Of
things
in
in
this
graph
that,
like
an
increase
in
slope
here,
is
like
where
certain
asp,
like
the
width,
is
sped
up,
and
this
slope
here
is
where
the
length
is
sped
up
relative
to
the
width,
and
so
you
can
see
in
development
how
you
can
get
differences
in
shape
this
slope
where
it
equals
one
is
like
a
spherical
egg
and
the
size
of
the
egg.
Is
you
know
it
it?
C
Just
it's
like
this
slope
equals
one
is
where
the
size
increases
and
it
just
stays
spherical,
but
the
size
increases
slope
greater
than
one
is
where
the
width
is
lighter
than
the
length
and
it
you
know,
grows
accordingly,
but
it's
actually
a
little
bit
more.
C
It
grows
much
wider
than
it
does
long,
and
then
this
in
this
case
it's
longer
than
it
grows
wide
and
that's
and
that's
how
that
works
so
yeah.
This
is
an
interesting
paper.
I'm
not
going
to
go
too
much
more
into
it.
But
if
you
want
to
read
more
about
it
so
I'll
see,
then
we
also
have
another
paper
on
centipede
embryos.
So
I
didn't
talk
about
centipedes
in
the
ants
and
plants,
but
they're
also
centipede,
embryos
and
centipedes
again
are
you
know
available?
You
can
harvest,
you
know
centipedes
and
hence
their
embryos.
C
I
don't
know
how
easy
they
are
to
work
with,
but
this
kind
of
goes
through
the
embryonic
development
of
a
certain
centipede
here,
strigamia
muritama
or
etima,
and
this
kind
of
goes
through
this
description
of
embryonic
development
of
the
species
of
centipede
and
again
this
is
another
arthropods.
So
we
have.
You
know
it's
very
similar
to
drosophila
and
ants
and
and
spiders.
So
we
have
this
this.
C
These
are
images
of
the
embryo
that
they've
taken
different
ways
here,
so
they
look
at
the
different
developmental
stages
of
the
egg,
using
different
markers
using
a
bright
field
approach
and
they
show
the
different
developmental
stages.
So,
if
you're
interested
in
sort
of
an
exotic
embryo,
this
is
a
paper
you
should
read
through.
C
So,
that's
you
know,
that's
kind
of
going
in
the
direction
of
biology.
This.
E
C
A
little
bit
well,
it's
still
biology.
I
guess
this
is
a
new
paper.
It's
a
book
chapter
on
dynamic,
positional
information,
patterning
mechanism
versus
precision
and
gradient
driven
systems,
and
this
is
a
good
review
if
you're
interested
in
talk
in
thinking
about
the
position
of
cells
and
development.
C
Quote
claude,
shannon
who's,
the
father
of
information
theory
in
here,
and
the
quote
is
well.
We
feel
information.
Theory
is
indeed
a
valuable
tool
in
providing
fundamental
insights
into
the
nature
of
communication
problems.
It
is
certainly
no
panacea
for
the
communication
engineer
or
for
anyone
else,
and
so
they
they
talk
about
information.
The
reason
they
bring
up.
C
That
quote
is
because
here
they're
talking
about
information,
they're
talking
about
positional
information
and
then
the
concept
of
information
which
is
you
know,
you
can
measure
positional
information
in
terms
of
bits
and
people
have
done
this
in
papers.
C
Positional
information
defined
as
shannon
information
helps
us
understand,
decoding
and
error,
propagation
and
patterning
systems.
They
also
talk
about
general
relativistic,
positional
information,
which
is
provide,
which
provides
a
metric
to
assess
the
output
of
pattern,
forming
mechanisms
so
they're
interested
in
pattern
formation
in
the
embryo
and
the
role
of
positional
information.
They
kind
of
get
into
these
two
definitions,
and
so
this
is
the
the
sort
of
thing
they're
going
to
cover
in
this
paper.
C
And
so
you
know
we
could
get
into
this
pretty
deeply
and
still
not
really
understand
it
very
well,
but
this
review,
I
think
they
kind
of
frame
it
in
in
terms
of
like
developmental
systems,
and
I
think
it's
an
interesting
paper
for
that
reason.
B
So
yeah
put
a
an
article
just
published,
which
critiques
these
kinds
of
views
of
the
additional
information
on
this
thought
supposedly
thought
up
like
lewis,
walker
and
he
he
waxed
and
weighed
whether
he
thought
it
was
true.
But
this
is
a
comparison
of
this
fresh
flag,
radiance
and
differentiation.
Waste.
C
Okay,
yeah.
That
looks
like
a
good
paper,
so
this
is
the
french
flag
gradients
entering
reaction
diffusion.
This
is
yeah,
so
check
this
paper
out,
and
so
I
I
think,
with
this
paper,
I'm
just
gonna
kind
of
leave
it
at
that
for
now,
so
they
talk
about
positional,
information,
developmental
biology
and
it's
you
know
it
may
or
may
not
be
the
case
I
mean
we're
trying
to
you
know
we
have
these
hypotheses,
and
so
they
go
through
a
lot
of
the
sort
of
the
argument
for
actually
they
talk
about
here,
because
this
is.
E
C
So
this
was
actually
lewis
woolper.
We
talked
about
a
couple
weeks
ago
and
he
just
died,
but
he
did
this.
He
had
developed
this
notion
of
positional
information,
so
we
have
this
model
called
the
french
flag,
which
is
what
dick
mentioned,
and
you
know
this
is
a
basically.
This
is
a
basic
pattern
formation
problem,
so
you
have
this
flag
that
you
want
to
replicate,
which
has
these
three
stripes
and
they're
different
colors
and
the
question
is:
how
do
you
arrange
the
cells
so
that
they
replicate
this
striped
pattern?
C
The
straight
pattern
exists
in
space,
so
in
this
hypothesis
there
is
this,
this
positional
information
that
the
cells
have
about
their
location
and
the
you
know
it's
done
by
what
they
call
morphogen
concentrations,
and
so
the
cells
will
differentiate
according
to
this
positional
information,
which
is
the
existence
of
this
morphogen
in
a
certain
part
of
the
embryo
or
the
in
this
case,
a
string
of
one-dimensional
cells.
And
so
you
know
the
question
is
whether
you
can
replicate
these
stripes
or
whether
it's
you
know
unsorted
or
what,
and
so
the
idea
that
you
have.
C
B
C
B
There's
that
historic,
especially
in
computing,
the
there
was
a
field
called
embryonics,
where
this
was
in
switzerland,
where
they
tried
to
imitate
the
electronics
what
embryos
do,
but
then
they
use
the
models
of
positional
information
which
may
not
be
correct
for
what
embryos
do
so
they
limited
their
perspective
on
your
electronics
based
on
development.
C
C
So
now
they
go
to
positional
information,
they
think
about
it
in
terms
of
shannon
information,
which
is
a
a
little
bit
different
way
of
thinking
about
it,
and
this
actually
allows
them
to
do
some
to
look
at
it
in
a
very
you
know,
targeted
precise
way,
so
you
know
they
talk
about
that
in
here
as
well.
C
They
also
talk
about
mutual
information,
which
is
a
former
shannon
information
where
you
look
at
the
information
in
common
between
two
entities
and
you
look
at
the
overlap,
it's
kind
of
like
co,
it's
kind
of
like
sort
of
like
a
correlation
between
the
two
categories.
C
So
this
is
a
this
pretty
long
paper.
Actually
so,
but
they
do
talk
about
a
number
of
technical
issues
that
are
really
interesting.
If
you're
interested
in
development,
if
you're
interested
in
how
cells
you
know,
sort
themselves
and
form
patterns,
and
of
course,
this
paper
here,
okay,
dick
put
some
more
papers
in
the
chat
here,
mechanics
and
embryogenesis
and
embryonic.
So
that's
the
embryonic
stuff
and
then
he
has
a
paper
from
2001
making
waves,
which
is
in
cybernetics
and
systems.
C
So
this
is
a
very
cybernetics
oriented
thing,
and
so
we
can.
You
can
follow
up
on
that.
If
you're
interested,
I
think
that's
all
I'm
going
to
do
for
today.
I
think
we've
covered
enough
ground.
I
know
it's
somewhat
overwhelming.
Sometimes
I
go
through
these
papers,
but
I
wanted
to
give
people
a
taste
of
what's
out
there.
So
so
are
there
any
questions?
Anyone
have
any
comments
before
we
go.
C
C
C
Okay,
well,
that's
anyone
else.
Have
any
other
comments.
I
didn't
think
we
had
a
good
meeting
so
next
week
we'll
try
to.
I
don't
know
what
we'll
do
next
week.
If
you
have
anything
you
want
to
bring
to
the
meeting,
especially
surety
or
the
roon,
you
can
please
let
me
know
in
advance.