Cell and Tissue Research,
Journal Year:
2021,
Volume and Issue:
383(1), P. 207 - 225
Published: Jan. 1, 2021
Abstract
Behavioral
flexibility
for
appropriate
action
selection
is
an
advantage
when
animals
are
faced
with
decisions
that
will
determine
their
survival
or
death.
In
order
to
arrive
at
the
right
decision,
evaluate
information
from
external
environment,
internal
state,
and
past
experiences.
How
these
different
signals
integrated
modulated
in
brain,
how
context-
state-dependent
behavioral
controlled
poorly
understood
questions.
Studying
molecules
help
convey
integrate
such
neural
circuits
important
way
approach
Many
years
of
work
model
organisms
have
shown
dopamine
a
critical
neuromodulator
(reward
based)
associative
learning.
However,
recent
findings
vertebrates
invertebrates
demonstrated
complexity
heterogeneity
dopaminergic
neuron
populations
functional
implications
many
adaptive
behaviors
survival.
For
example,
neurons
can
sensory
information,
states,
learned
experience
decision
making
circuitry.
Several
advances
methodologies
availability
synaptic
level
connectome
whole-brain
circuitry
Drosophila
melanogaster
make
fly
attractive
system
study
roles
behavior.
particular,
learning
memory
center—the
mushroom
body—is
richly
innervated
by
enable
it
multi-modal
according
state
context,
modulate
decision-making
The
neural
circuits
responsible
for
animal
behavior
remain
largely
unknown.
We
summarize
new
methods
and
present
the
circuitry
of
a
large
fraction
brain
fruit
fly
Drosophila
melanogaster
.
Improved
include
procedures
to
prepare,
image,
align,
segment,
find
synapses
in,
proofread
such
data
sets.
define
cell
types,
refine
computational
compartments,
provide
an
exhaustive
atlas
examples
many
them
novel.
detailed
consisting
neurons
their
chemical
most
central
brain.
make
public
simplify
access,
reducing
effort
needed
answer
circuit
questions,
linking
defined
by
our
analysis
with
genetic
reagents.
Biologically,
we
examine
distributions
connection
strengths,
motifs
on
different
scales,
electrical
consequences
compartmentalization,
evidence
that
maximizing
packing
density
is
important
criterion
in
evolution
fly’s
Making
inferences
about
the
computations
performed
by
neuronal
circuits
from
synapse-level
connectivity
maps
is
an
emerging
opportunity
in
neuroscience.
The
mushroom
body
(MB)
well
positioned
for
developing
and
testing
such
approach
due
to
its
conserved
architecture,
recently
completed
dense
connectome,
extensive
prior
experimental
studies
of
roles
learning,
memory,
activity
regulation.
Here,
we
identify
new
components
MB
circuit
Drosophila,
including
visual
input
output
neurons
(MBONs)
with
direct
connections
descending
neurons.
We
find
unexpected
structure
sensory
inputs,
transfer
information
different
modalities
MBONs,
modulation
that
dopaminergic
(DANs).
provide
insights
into
circuitry
used
integrate
outputs,
between
central
complex
inputs
DANs,
feedback
MBONs.
Our
results
a
foundation
further
theoretical
work.
Current Biology,
Journal Year:
2020,
Volume and Issue:
30(16), P. 3183 - 3199.e6
Published: July 2, 2020
Nervous
systems
contain
sensory
neurons,
local
projection
and
motor
neurons.
To
understand
how
these
building
blocks
form
whole
circuits,
we
must
distil
broad
classes
into
neuronal
cell
types
describe
their
network
connectivity.
Using
an
electron
micrograph
dataset
for
entire
Drosophila
melanogaster
brain,
reconstruct
the
first
complete
inventory
of
olfactory
projections
connecting
antennal
lobe,
insect
analog
mammalian
bulb,
to
higher-order
brain
regions
in
adult
animal
brain.
We
then
connect
this
extant
data
literature,
providing
synaptic-resolution
"holotypes"
both
heavily
investigated
previously
unknown
types.
Projection
neurons
are
approximately
twice
as
numerous
reported
by
light
level
studies;
stereotyped,
but
not
identical,
synapse
numbers
between
hemispheres.
The
lateral
horn,
cortical
amygdala,
is
main
target
information
has
been
shown
guide
innate
behavior.
Here,
find
new
connectivity
motifs,
including
axo-axonic
feedback,
inhibition
axons
a
large
population
convergence
different
inputs,
non-olfactory
inputs
memory-related
feedback
onto
third-order
These
features
less
prominent
mushroom
body
calyx,
piriform
cortex
center
associative
memory.
Our
work
provides
neuroanatomical
platform
future
studies
system.
Cell,
Journal Year:
2024,
Volume and Issue:
187(10), P. 2574 - 2594.e23
Published: May 1, 2024
High-resolution
electron
microscopy
of
nervous
systems
has
enabled
the
reconstruction
synaptic
connectomes.
However,
we
do
not
know
sign
for
each
connection
(i.e.,
whether
a
is
excitatory
or
inhibitory),
which
implied
by
released
transmitter.
We
demonstrate
that
artificial
neural
networks
can
predict
transmitter
types
presynapses
from
micrographs:
network
trained
to
six
transmitters
(acetylcholine,
glutamate,
GABA,
serotonin,
dopamine,
octopamine)
achieves
an
accuracy
87%
individual
synapses,
94%
neurons,
and
91%
known
cell
across
D.
melanogaster
whole
brain.
visualize
ultrastructural
features
used
prediction,
discovering
subtle
but
significant
differences
between
phenotypes.
also
analyze
distributions
brain
find
neurons
develop
together
largely
express
only
one
fast-acting
GABA).
hope
our
publicly
available
predictions
act
as
accelerant
neuroscientific
hypothesis
generation
fly.
Nature,
Journal Year:
2025,
Volume and Issue:
640(8058), P. 435 - 447
Published: April 9, 2025
Abstract
Understanding
the
brain
requires
understanding
neurons’
functional
responses
to
circuit
architecture
shaping
them.
Here
we
introduce
MICrONS
connectomics
dataset
with
dense
calcium
imaging
of
around
75,000
neurons
in
primary
visual
cortex
(VISp)
and
higher
areas
(VISrl,
VISal
VISlm)
an
awake
mouse
that
is
viewing
natural
synthetic
stimuli.
These
data
are
co-registered
electron
microscopy
reconstruction
containing
more
than
200,000
cells
0.5
billion
synapses.
Proofreading
a
subset
yielded
reconstructions
include
complete
dendritic
trees
as
well
local
inter-areal
axonal
projections
map
up
thousands
cell-to-cell
connections
per
neuron.
Released
open-access
resource,
this
includes
tools
for
retrieval
analysis
1,2
.
Accompanying
studies
describe
its
use
comprehensive
characterization
cell
types
3–6
,
synaptic
level
connectivity
diagram
cortical
column
4
uncovering
cell-type-specific
inhibitory
can
be
linked
gene
expression
4,7
Functionally,
identify
new
computational
principles
how
information
integrated
across
space
8
characterize
novel
neuronal
invariances
9
bring
structure
function
together
uncover
general
principle
between
excitatory
within
10,11