bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2024,
Номер
unknown
Опубликована: Апрель 2, 2024
Abstract
The
Drosophila
visual
system
is
a
powerful
model
to
study
the
development
of
neural
circuits.
Projection
neurons
that
relay
information
from
lobula
part
optic
lobe
central
brain
(the
columnar
neurons-LCNs),
are
thought
encode
different
features
relevant
natural
behavior.
There
∼20
classes
LCNs
whose
projections
form
highly
specific,
non-overlapping
synaptic
domains
in
called
glomeruli.
Although
functional
investigations
several
LCN
circuits
have
been
carried
out,
very
little
known
about
their
developmental
origin
and
stem
cell
lineages
generate
subtypes.
To
address
origin,
we
used
single-cell
mRNA
sequencing
define
transcriptome
each
subtype
identified
driver
lines
expressed
specific
throughout
development.
We
show
originate
cells
four
distinct
regions
fly
exhibit
modes
neurogenesis,
including
ventral
dorsal
tips
outer
proliferation
center
(tOPC),
inner
(vtIPC)
(CB).
This
convergence
similar
illustrates
complexity
generating
neuronal
diversity
likely
reflects
evolutionary
detects
feature
influence
behaviors
might
be
species.
Natural
vision
is
dynamic:
as
an
animal
moves,
its
visual
input
changes
dramatically.
How
can
the
system
reliably
extract
local
features
from
dominated
by
self-generated
signals?
In
Drosophila
,
diverse
are
represented
a
group
of
projection
neurons
with
distinct
tuning
properties.
Here,
we
describe
connectome-based
volumetric
imaging
strategy
to
measure
visually
evoked
neural
activity
across
this
population.
We
show
that
jointly
population,
and
shared
gain
factor
improves
trial-to-trial
coding
fidelity.
A
subset
these
neurons,
tuned
small
objects,
modulated
two
independent
signals
associated
self-movement,
motor-related
signal,
motion
signal
rotation
animal.
These
inputs
adjust
sensitivity
feature
detectors
locomotor
cycle,
selectively
reducing
their
during
saccades
restoring
it
intersaccadic
intervals.
This
work
reveals
for
reliable
detection
locomotion.
Cell Reports,
Год журнала:
2023,
Номер
42(7), С. 112772 - 112772
Опубликована: Июль 1, 2023
Sensitivity
to
numbers
is
a
crucial
cognitive
ability.
The
lack
of
experimental
models
amenable
systematic
genetic
and
neural
manipulation
has
precluded
discovering
circuits
required
for
numerical
cognition.
Here,
we
demonstrate
that
Drosophila
flies
spontaneously
prefer
sets
containing
larger
objects.
This
preference
determined
by
the
ratio
between
two
quantities
tested,
characteristic
signature
cognition
across
species.
Individual
maintained
their
choice
over
consecutive
days.
Using
visual
conditioning
paradigm,
found
are
capable
associating
sucrose
with
can
be
trained
reverse
spontaneous
large
quantities.
Finally,
show
silencing
lobula
columnar
neurons
(LC11)
reduces
more
objects,
thus
identifying
neuronal
substrate
in
invertebrates.
discovery
paves
way
analysis
behavioral
mechanisms
underlying
evolutionary
conserved
sensitivity
numerosity.
Measurement Sensors,
Год журнала:
2023,
Номер
26, С. 100698 - 100698
Опубликована: Фев. 20, 2023
Recently,
Internet
of
the
things
(IoTs)
devices
have
been
used
highly
in
surveillance
applications
smart
environments,
cities,
and
buildings.
Most
data
recorded
by
IoT
is
form
video
needs
to
be
transmitted
admin
or
server
streaming
technology.
Fractal
compression
uses
a
self-similarity
concept
for
compression,
meaning
fractal
image
contains
itself
that
explained
denoted
change.
Computational
cost
more
coding;
different
methods
developed
reduce
this
computational
cost.
The
proposed
work's
main
objective
implement
approach
combining
Diamond-search-pattern-
block-matching
motion
estimation
algorithm
hash-based
encoding
time.
It
improves
both
delay
security
block
matching
system
measures
based
on
evaluation
parameters:
Peak
signal-to-noise
ratio
(PSNR),
time,
decoding
Mean
squared
error
(MSE),
Compression
Smart
City
Applications.
Compared
other
algorithms,
IoTs
streamed
efficiently
city
analyse
abnormalities.
Tracking
visual
objects
while
maintaining
stable
gaze
is
complicated
by
the
different
computational
requirements
for
figure-ground
discrimination,
and
distinct
behaviors
that
these
computations
coordinate.
Drosophila
melanogaster
uses
smooth
optomotor
head
body
movements
to
stabilize
gaze,
impulsive
saccades
pursue
elongated
vertical
bars.
Directionally
selective
motion
detectors
T4
T5
cells
provide
inputs
large-field
neurons
in
lobula
plate,
which
control
stabilization
behavior.
Here,
we
hypothesized
an
anatomically
parallel
pathway
represented
T3
cells,
lobula,
drives
bar
tracking
saccades.
We
combined
physiological
behavioral
experiments
show
respond
omnidirectionally
same
stimuli
elicit
saccades,
silencing
reduced
frequency
of
optogenetic
manipulation
acted
on
saccade
rate
a
push–pull
manner.
Manipulating
did
not
affect
responses
motion.
Our
results
neural
pathways
coordinate
saccadic
behavior
during
flight.
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2023,
Номер
unknown
Опубликована: Сен. 18, 2023
Abstract
Discovering
principles
underlying
the
control
of
animal
behavior
requires
a
tight
dialogue
between
experiments
and
neuromechanical
models.
Until
now,
such
models,
including
NeuroMechFly
for
adult
fly,
Drosophila
melanogaster
,
have
primarily
been
used
to
investigate
motor
control.
Far
less
studied
with
realistic
body
models
is
how
brain
systems
work
together
perform
hierarchical
sensorimotor
Here
we
present
v2,
framework
that
expands
modeling
by
enabling
visual
olfactory
sensing,
ascending
feedback,
complex
terrains
can
be
navigated
using
leg
adhesion.
We
illustrate
its
capabilities
first
constructing
biologically
inspired
locomotor
controllers
use
feedback
path
integration
head
stabilization.
Then,
add
sensing
this
controller
train
it
reinforcement
learning
multimodal
navigation
task
in
closed
loop.
Finally,
more
biorealistic
two
ways:
our
model
navigates
odor
plume
taxis
strategy,
uses
connectome-constrained
system
network
follow
another
simulated
fly.
With
framework,
accelerate
discovery
explanatory
nervous
develop
machine
learning-based
autonomous
artificial
agents
robots.
Nature Communications,
Год журнала:
2025,
Номер
16(1)
Опубликована: Янв. 15, 2025
The
Drosophila
visual
system
is
a
powerful
model
to
study
the
development
of
neural
circuits.
Lobula
columnar
neurons-LCNs
are
output
neurons
that
encode
features
relevant
natural
behavior.
There
~20
classes
LCNs
forming
non-overlapping
synaptic
optic
glomeruli
in
brain.
To
address
their
origin,
we
used
single-cell
mRNA
sequencing
define
transcriptome
LCN
subtypes
and
identified
lines
expressed
throughout
development.
We
show
originate
from
stem
cells
four
distinct
brain
regions
exhibiting
different
modes
neurogenesis,
including
ventral
dorsal
tips
outer
proliferation
center,
superficial
inner
center
central
this
convergence
similar
illustrates
complexity
generating
neuronal
diversity,
likely
reflects
evolutionary
origin
each
subtype
detects
specific
feature
might
influence
behaviors
species.
Here
authors
developmental
origins
Columnar
Neurons
brain,
tracing
them
regions.
highlights
diversity.
Communications Biology,
Год журнала:
2025,
Номер
8(1)
Опубликована: Март 7, 2025
Neuronal
dense
core
vesicles
(DCVs)
store
and
release
a
diverse
array
of
neuromodulators,
trophic
factors,
bioamines.
The
analysis
single
DCVs
has
largely
been
possible
only
using
electron
microscopy,
which
makes
understanding
cargo
segregation
DCV
heterogeneity
difficult.
To
address
these
limitations,
we
develop
genetically
encoded
markers
for
that
can
be
used
in
combination
with
standard
immunohistochemistry
expansion
microscopy
to
enable
single-vesicle
resolution
confocal
Drosophila.
Abstract
Animals
are
often
bombarded
with
visual
information
and
must
prioritize
specific
features
based
on
their
current
needs.
The
neuronal
circuits
that
detect
relay
have
been
well
studied
1–8
.
Much
less
is
known
about
how
an
animal
adjusts
its
attention
as
goals
or
environmental
conditions
change.
During
social
behaviours,
flies
need
to
focus
nearby
9–11
Here
we
study
the
flow
of
altered
when
female
Drosophila
enter
aggressive
state.
From
connectome,
identify
three
state-dependent
circuit
motifs
poised
modify
response
fly-sized
objects:
convergence
excitatory
inputs
from
neurons
conveying
select
internal
state;
dendritic
disinhibition
feature
detectors;
a
switch
toggles
between
two
detectors.
Using
cell-type-specific
genetic
tools,
together
behavioural
neurophysiological
analyses,
show
each
these
used
during
aggression.
We
reveal
this
same
operate
in
male
courtship
pursuit,
suggesting
disparate
behaviours
may
share
mechanisms.
Our
provides
compelling
example
using
connectome
infer
mechanisms
underlie
dynamic
processing
sensory
signals.
PLoS Genetics,
Год журнала:
2020,
Номер
16(8), С. e1009003 - e1009003
Опубликована: Авг. 31, 2020
Sensory
systems
rely
on
neuromodulators,
such
as
serotonin,
to
provide
flexibility
for
information
processing
stimuli
vary,
light
intensity
throughout
the
day.
Serotonergic
neurons
broadly
innervate
optic
ganglia
of
Drosophila
melanogaster,
a
widely
used
model
studying
vision.
It
remains
unclear
whether
serotonin
modulates
physiology
interneurons
in
ganglia.
To
address
this
question,
we
first
mapped
expression
patterns
receptors
visual
system,
focusing
subset
cells
with
processes
ganglion,
lamina.
Serotonin
receptor
was
found
several
types
columnar
lamina
including
5-HT2B
monopolar
cell
L2,
required
spatiotemporal
luminance
contrast,
and
both
5-HT1A
5-HT1B
T1
cells,
whose
function
is
unknown.
Subcellular
mapping
GFP-tagged
constructs
indicated
that
these
localize
layer
M2
medulla,
proximal
serotonergic
boutons,
suggesting
medulla
neuropil
primary
site
regulation
neurons.
Exogenous
increased
basal
intracellular
calcium
L2
terminals
modestly
decreased
duration
visually
induced
transients
following
repeated
dark
flashes,
but
otherwise
did
not
alter
transients.
Flies
without
functional
failed
show
an
increase
response
serotonin.
mutants
also
change
amplitude
their
flashes
other
transient
parameters
were
relatively
unaffected.
While
detect
L1
neurons,
they,
like
underwent
serotonin-induced
changes
calcium,
presumably
via
interactions
cells.
These
data
demonstrate
involved
early
Drosophila.