Journal of Neuroscience,
Год журнала:
2017,
Номер
37(42), С. 10125 - 10138
Опубликована: Сен. 18, 2017
Binocular
mechanisms
for
visual
processing
are
thought
to
enhance
spatial
acuity
by
combining
matched
input
from
the
two
eyes.
Studies
in
primary
cortex
of
carnivores
and
primates
have
confirmed
that
eye-specific
neuronal
response
properties
largely
matched.
In
recent
years,
mouse
has
emerged
as
a
prominent
model
binocular
processing,
yet
little
is
known
about
frequency
tuning
responses
cortex.
Using
calcium
imaging
awake
mice
both
sexes,
we
show
preference
cortical
contralateral
eye
∼35%
higher
than
ipsilateral
eye.
Furthermore,
find
neurons
respond
only
tuned
frequencies.
well
also
orientation
preference.
contrast,
observe
binocularly
mismatched
cells
more
tuning.
direction-selective
strongly
biased
cardinal
directions.
The
bias
high
was
found
anesthetized
recordings.
distinct
may
reflect
functional
segregation
direction-selective,
frequency-preferring
earlier
stages
central
pathway.
Moreover,
these
results
suggest
development
binocularity
engage
circuits
system.
SIGNIFICANCE
STATEMENT
Seeing
through
eyes
improve
enhancing
sensitivity
fine
edges.
cellular
mice,
surprising
asymmetries
pathway
frequencies
At
highest
frequencies,
prefers
stimuli
along
(horizontal
vertical)
axes.
These
monocular,
not
binocular,
set
limit
mice.
they
involves
different
circuits.
Cell Reports,
Год журнала:
2022,
Номер
40(2), С. 111040 - 111040
Опубликована: Июль 1, 2022
Classification
and
characterization
of
neuronal
types
are
critical
for
understanding
their
function
dysfunction.
Neuronal
classification
schemes
typically
rely
on
measurements
electrophysiological,
morphological,
molecular
features,
but
aligning
such
datasets
has
been
challenging.
Here,
we
present
a
unified
mouse
retinal
ganglion
cells
(RGCs),
the
sole
output
neurons.
We
use
visually
evoked
responses
to
classify
1,859
RGCs
into
42
types.
also
obtain
morphological
or
transcriptomic
data
from
subsets
these
align
functional
publicly
available
datasets.
create
an
online
database
that
allows
users
browse
download
light
using
machine
learning
algorithm.
This
work
provides
resource
studies
RGCs,
upstream
circuits
in
retina,
projections
brain,
establishes
framework
future
efforts
open
distribution.
Stem Cell Reports,
Год журнала:
2018,
Номер
10(4), С. 1282 - 1293
Опубликована: Март 22, 2018
Highlights•Unique
transcriptional
profiles
demonstrate
diversity
among
hPSC-derived
RGCs•Numerous
RGC
subtypes
characterized
from
RGCs•Molecular
markers
identified
for
through
single-cell
RNA-seq
analysisSummaryRetinal
ganglion
cells
(RGCs)
are
the
projection
neurons
of
retina
and
transmit
visual
information
to
postsynaptic
targets
in
brain.
While
this
function
is
shared
nearly
all
RGCs,
class
cell
remarkably
diverse,
comprised
multiple
subtypes.
Previous
efforts
have
numerous
animal
models,
but
less
attention
has
been
paid
human
RGCs.
Thus,
study
examined
RGCs
differentiated
pluripotent
stem
(hPSCs)
defined
expression
subtype-specific
markers.
Further
investigation
these
was
achieved
using
transcriptomics,
confirming
combinatorial
molecular
associated
with
subtypes,
also
provided
insight
into
more
results
describe
derivation
hPSCs
will
support
future
exploration
phenotypic
functional
within
Annual Review of Vision Science,
Год журнала:
2018,
Номер
4(1), С. 165 - 192
Опубликована: Авг. 10, 2018
Visual
motion
on
the
retina
activates
a
cohort
of
retinal
ganglion
cells
(RGCs).
This
population
activity
encodes
multiple
streams
information
extracted
by
parallel
circuits.
Motion
processing
in
is
best
studied
direction-selective
circuit.
The
main
focus
this
review
neural
basis
direction
selectivity,
which
has
been
investigated
unprecedented
detail
using
state-of-the-art
functional,
connectomic,
and
modeling
methods.
Mechanisms
underlying
encoding
other
features
broader
RGC
populations
are
also
discussed.
Recent
discoveries
at
both
single-cell
levels
highlight
dynamic
stimulus-dependent
engagement
mechanisms
that
collectively
implement
robust
detection
under
diverse
visual
conditions.
Annual Review of Vision Science,
Год журнала:
2022,
Номер
8(1), С. 135 - 169
Опубликована: Апрель 6, 2022
Retinal
circuits
transform
the
pixel
representation
of
photoreceptors
into
feature
representations
ganglion
cells,
whose
axons
transmit
these
to
brain.
Functional,
morphological,
and
transcriptomic
surveys
have
identified
more
than
40
retinal
cell
(RGC)
types
in
mice.
RGCs
extract
features
varying
complexity;
some
simply
signal
local
differences
brightness
(i.e.,
luminance
contrast),
whereas
others
detect
specific
motion
trajectories.
To
understand
retina,
we
need
know
how
give
rise
diverse
RGC
representations.
A
catalog
set,
turn,
is
fundamental
understanding
visual
processing
Anterograde
tracing
indicates
that
innervate
50
areas
mouse
Current
maps
connecting
brain
are
rudimentary,
as
our
signals
transformed
downstream
guide
behavior.
In
this
article,
I
review
selectivities
RGCs,
they
arise,
utilized
downstream.
Not
only
knowledge
behavioral
purpose
critical
for
contributions
vision;
it
can
also
us
most
relevant
space.
