Frontiers in Neuroinformatics,
Journal Year:
2019,
Volume and Issue:
13
Published: May 7, 2019
Our
knowledge
of
the
brain
has
evolved
over
millennia
in
philosophical,
experimental
and
theoretical
phases.
We
suggest
that
next
phase
is
simulation
neuroscience.
The
main
drivers
neuroscience
are
big
data
generated
at
multiple
levels
organization
need
to
integrate
these
trace
causal
chain
interactions
within
across
all
levels.
Simulation
currently
only
methodology
for
systematically
approaching
multiscale
brain.
In
this
review,
we
attempt
reconstruct
deep
historical
paths
leading
neuroscience,
from
first
observations
nerve
cell
modern
efforts
digitally
simulate
Neuroscience
began
with
identification
neuron
as
fundamental
unit
structure
function
towards
understanding
role
each
type
brain,
how
cells
connected
other,
seemingly
infinite
networks
they
form
give
rise
vast
diversity
functions.
Neuronal
mapping
evolving
subjective
descriptions
types
objective
classes,
subclasses
types.
Connectivity
loose
topographic
maps
between
regions
dense
anatomical
physiological
connections
individual
genetically
distinct
neurons.
Functional
psychological
behavioral
stereotypes
a
map
behaviors
emerging
structural
functional
connectomes.
show
industrialization
resulting
large
disconnected
datasets
generating
demand
integrative
scale
neuronal
connectivity
driving
digital
atlasing
reconstruction
piece
together
organization,
complexity
molecules,
neurons,
microcircuits
understand
Frontiers in Neuroanatomy,
Journal Year:
2017,
Volume and Issue:
11
Published: Oct. 24, 2017
We
confirmed
the
classification
of
15
morphological
types
mouse
bipolar
cells
by
serial
section
transmission
electron
microscopy
and
characterized
each
type
identifying
chemical
synapses
gap
junctions
at
axon
terminals.
Although
whether
previous
5
consist
two
or
three
was
uncertain,
they
are
here
clustered
into
based
on
vertical
distribution
axonal
ribbons.
Next,
while
groups
rod
(RB)
cells,
RB1,
RB2,
were
previously
proposed,
we
clarify
that
a
half
RB1
have
intermediate
characteristics,
suggesting
these
comprise
single
RB
type.
After
validation
cell
types,
examined
their
relationship
with
amacrine
then
particularly
AII
cells.
found
strong
correlation
between
number
synaptic
contacts
Formation
output
ribbon
synapse
may
be
effectively
regulated
few
nearby
inhibitory
inputs
which
chosen
from
among
many
types.
also
almost
all
ON
cone
frequently
minor
group
midway
ribbons
along
passing
through
OFF
sublamina
as
well
major
terminal
in
sublamina.
connected
to
five
six
via
conventional
seven
eight
(cone)
electrical
(gap
junctions).
However,
is
dependent
Type
2
69%
total
6
46%
area
Both
gain
greatest
access
signals
share
those
other
networked
junctions.
These
findings
imply
most
sensitive
scotopic
signal
conveyed
center
ganglion
numerous
Neuron,
Journal Year:
2018,
Volume and Issue:
99(6), P. 1145 - 1154.e6
Published: Sept. 1, 2018
Distinct
neuronal
types
connect
in
complex
ways
to
generate
functional
neural
circuits.
The
molecular
diversity
required
specify
this
connectivity
could
be
supplied
by
multigene
families
of
synaptic
recognition
molecules,
but
most
studies
date
have
assessed
just
one
or
a
few
members
at
time.
Here,
we
analyze
roles
cadherins
(Cdhs)
formation
retinal
circuits
comprising
eight
that
inform
the
brain
about
motion
four
directions.
We
show
least
15
classical
Cdhs
are
expressed
neurons
these
and
6
(Cdh6–10
18)
act
individually
combinations
promote
specific
among
cells.
They
part
directing
processes
output
excitatory
interneurons
cellular
scaffold
formed
inhibitory
interneurons.
Because
combinatorially
many
central
neurons,
similar
interactions
involved
patterning
throughout
brain.
Annual Review of Vision Science,
Journal Year:
2018,
Volume and Issue:
4(1), P. 165 - 192
Published: Aug. 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.
Journal of Neuroscience,
Journal Year:
2016,
Volume and Issue:
37(3), P. 610 - 625
Published: Dec. 5, 2016
Retinal
ganglion
cells
(RGCs)
are
frequently
divided
into
functional
types
by
their
ability
to
extract
and
relay
specific
features
from
a
visual
scene,
such
as
the
capacity
discern
local
or
global
motion,
direction
of
stimulus
orientation,
contrast
uniformity,
presence
large
small
objects.
Here
we
introduce
three
previously
uncharacterized,
nondirection-selective
ON–OFF
RGC
that
represent
distinct
set
feature
detectors
in
mouse
retina.
The
high-definition
(HD)
RGCs
possess
receptive-field
centers
strong
surround
suppression.
They
respond
selectively
objects
sizes,
speeds,
motion.
We
present
comprehensive
morphological
characterization
HD
physiological
recordings
light
responses,
size
structure,
synaptic
mechanisms
also
explore
similarities
differences
between
well
characterized
with
comparably
receptive
field,
edge
detector,
response
moving
textures.
model
populations
each
type
study
how
they
differ
performance
tracking
object.
These
results,
besides
introducing
new
together
constitute
substantial
fraction
RGCs,
provide
insights
role
different
circuits
shaping
fields
establish
foundation
for
continued
suppression
neural
basis
motion
detection.
SIGNIFICANCE
STATEMENT
output
retina,
retinal
(RGCs),
diverse
group
∼40
neuron
often
assigned
“feature
detection”
profiles
based
on
aspects
scene
which
respond.
describe,
first
time,
substantially
augmenting
our
understanding
selectivity.
Experiments
modeling
show
while
these
“high-definition”
share
certain
properties,
have
tuning
size,
speed,
enabling
them
occupy
niches
space.
Annual Review of Vision Science,
Journal Year:
2022,
Volume and Issue:
8(1), P. 135 - 169
Published: April 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.
Nature Communications,
Journal Year:
2022,
Volume and Issue:
13(1)
Published: May 23, 2022
From
mouse
to
primate,
there
is
a
striking
discontinuity
in
our
current
understanding
of
the
neural
coding
motion
direction.
In
non-primate
mammals,
directionally
selective
cell
types
and
circuits
are
signature
feature
retina,
situated
at
earliest
stage
visual
process.
primates,
by
contrast,
direction
selectivity
hallmark
processing
areas
cortex,
but
has
not
been
found
despite
significant
effort.
Here
we
combined
functional
recordings
light-evoked
responses
connectomic
reconstruction
identify
diverse
direction-selective
macaque
monkey
retina
with
distinctive
physiological
properties
synaptic
motifs.
This
circuitry
includes
an
ON-OFF
ganglion
type,
spiking,
polyaxonal
amacrine
starburst
cell,
all
which
show
selectivity.
Moreover,
discovered
that
cells
possess
strong,
non-GABAergic,
antagonistic
surround
mediated
input
from
excitatory
bipolar
critical
for
generation
radial
sensitivity
these
cells.
Our
findings
open
door
investigation
precortical
computes
primate
system.