bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2023,
Volume and Issue:
unknown
Published: Oct. 5, 2023
Abstract
The
function
of
neuronal
networks
is
determined
not
only
by
synaptic
connectivity
but
also
neuromodulatory
systems
that
broadcast
information
via
distributed
connections
and
volume
transmission.
To
understand
the
molecular
constraints
organize
signaling
in
telencephalon
adult
zebrafish
we
used
transcriptomics
additional
approaches
to
delineate
cell
types,
determine
their
phylogenetic
conservation,
map
expression
marker
genes
at
high
granularity.
combinatorial
GPCRs
type
markers
indicates
all
types
are
subject
modulation
multiple
monoaminergic
distinct
combinations
neuropeptides.
Individual
were
associated
with
(typically
>30)
expressed
a
few
diagnostic
levels,
suggesting
different
act
combination
albeit
unequal
weights.
These
results
provide
detailed
brain
areas
telencephalon,
identify
core
components
networks,
highlight
type-specificity
neuropeptides
GPCRs,
begin
decipher
logic
neuromodulation.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2023,
Volume and Issue:
unknown
Published: Aug. 6, 2023
Motor
neurons
(MNs)
constitute
an
ancient
cell
type
targeted
by
multiple
adult-onset
diseases.
It
is
therefore
important
to
define
the
molecular
makeup
of
adult
MNs
in
animal
models
and
extract
organizing
principles.
Here,
we
generated
a
comprehensive
atlas
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Feb. 14, 2024
Abstract
The
nematode
worm
C.
elegans
provides
a
unique
opportunity
for
exploring
in
silico
data-driven
models
of
whole
nervous
system,
given
its
transparency
and
well-characterized
system
facilitating
wealth
measurement
data
from
wet-lab
experiments.
This
study
explores
the
scaling
properties
that
may
govern
learning
underlying
neural
dynamics
this
small
by
using
artificial
network
(ANN)
models.
We
investigate
accuracy
self-supervised
next
time-step
activity
prediction
as
function
For
scaling,
we
report
monotonic
log-linear
reduction
mean-squared
error
(MSE)
amount
data.
model
find
MSE
to
be
nonlinear
size
ANN
Furthermore,
observe
dataset
are
influenced
particular
choice
architecture
but
not
precise
experimental
source
Our
results
fall
short
producing
long-horizon
predictive
generative
suggest
directions
achieve
those.
In
our
extrapolate
recording
more
is
fruitful
near-term
approach
obtaining
better
system.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: July 16, 2024
ABSTRACT
Throughout
the
animal
kingdom,
several
members
of
basic
helix-loop-helix
(bHLH)
family
act
as
proneural
genes
during
early
steps
nervous
system
development.
Roles
bHLH
in
specifying
terminal
differentiation
postmitotic
neurons
have
been
less
extensively
studied.
We
analyze
here
function
five
C.
elegans
genes,
falling
into
three
phylogenetically
conserved
subfamilies,
which
are
continuously
expressed
a
very
small
number
central
system.
show
(a)
that
two
orthologs
vertebrate
bHLHb4/b5
called
hlh-17
and
hlh-32,
redundantly
to
specify
identity
single
head
interneuron
(AUA),
well
an
individual
motor
neuron
(VB2),
(b)
PTF1a
ortholog
hlh-13
acts
selector
control
sole
octopaminergic
class
,
RIC,
(c)
NHLH1/2
hlh-15
controls
peptidergic
AVK
class,
known
neuropeptidergic
signaling
hub
animal.
Strikingly,
through
null
mutant
analysis
cell-specific
rescue
experiments,
we
find
loss
hlh-15/NHLH
resulting
abrogation
neuropeptide
secretion
causes
substantially
expanded
lifespan
animal,
revealing
unanticipated
impact
central,
regulating
lifespan,
propose
be
akin
hypothalamic
vertebrates.
Taken
together,
our
functional
reveals
themes
gene
complementary
earlier
lineage
specification
roles
other
members.
However,
such
late
functions
much
more
sparsely
employed
by
transcription
factor
family,
compared
broadly
homeodomain
family.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2022,
Volume and Issue:
unknown
Published: April 9, 2022
Abstract
Continuity
of
behaviors
requires
animals
to
make
smooth
transitions
between
successive
and
mutually
exclusive
behavioral
states.
Neural
principles
that
govern
these
are
not
well
understood.
C.
elegans
spontaneously
switch
two
opposite
motor
states,
forward
backward
movement,
a
phenomenon
long
thought
reflect
the
reciprocal
inhibition
interneurons
separately
gate
circuits,
AVB
AVA.
Combining
experimental
data
mathematical
modeling,
we
report
spontaneous
locomotion
their
corresponding
circuits
controlled.
AVA
neither
functionally
equivalent
nor
strictly
reciprocally
inhibitory.
Instead,
while
phasically
inhibits
promoting
interneuron
at
fast
timescale,
it
maintains
tonic,
extrasynaptic
excitation
on
over
longer
timescale.
AVA’s
depolarized
membrane
potential
is
necessary
for
this
tonic
excitation.
We
propose
new,
master
neuron
model
locomotion.
AVA,
with
phasic
activity
polarities
different
time
scales,
acts
as
break
symmetry
underlying
circuits.
This
offers
parsimonious
solution
sustained
consisted
Teaser
A
tonically
active
premotor
functions
underlies
continuous
modulation
movement
ensure
opposing
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2023,
Volume and Issue:
unknown
Published: Oct. 5, 2023
Abstract
The
function
of
neuronal
networks
is
determined
not
only
by
synaptic
connectivity
but
also
neuromodulatory
systems
that
broadcast
information
via
distributed
connections
and
volume
transmission.
To
understand
the
molecular
constraints
organize
signaling
in
telencephalon
adult
zebrafish
we
used
transcriptomics
additional
approaches
to
delineate
cell
types,
determine
their
phylogenetic
conservation,
map
expression
marker
genes
at
high
granularity.
combinatorial
GPCRs
type
markers
indicates
all
types
are
subject
modulation
multiple
monoaminergic
distinct
combinations
neuropeptides.
Individual
were
associated
with
(typically
>30)
expressed
a
few
diagnostic
levels,
suggesting
different
act
combination
albeit
unequal
weights.
These
results
provide
detailed
brain
areas
telencephalon,
identify
core
components
networks,
highlight
type-specificity
neuropeptides
GPCRs,
begin
decipher
logic
neuromodulation.