Large
scale
transitions
between
active
(up)
and
silent
(down)
states
during
quiet
wakefulness
or
NREM
sleep
regulate
fundamental
cortical
functions
are
known
to
involve
both
excitatory
inhibitory
cells.
However,
if
how
inhibition
regulates
these
activity
is
unclear.
Using
fluorescence-targeted
electrophysiological
recording
cell-specific
optogenetic
manipulation
in
anesthetized
non-anesthetized
mice,
we
found
that
two
major
classes
of
interneurons,
the
parvalbumin
somatostatin
positive
cells,
tightly
control
up-to-down
down-to-up
state
transitions.
Inhibitory
regulation
transition
was
observed
under
natural
optogenetically-evoked
conditions.
Moreover,
perturbative
experiments
revealed
interneuron-type
specific.
Finally,
local
small
ensembles
interneurons
affected
populations
millimetres
away
from
modulated
region.
Together,
results
demonstrate
potently
gates
states,
reveal
cellular
mechanisms
by
which
microcircuits
at
mesoscale.
The
simultaneous
imaging
and
manipulating
of
neural
activity
could
enable
the
functional
dissection
circuits.
Here
we
have
combined
two-photon
optogenetics
with
volumetric
calcium
to
measure
manipulate
in
mouse
neocortex
vivo
three-dimensions
(3D)
cellular
resolution.
Using
a
hybrid
holographic
approach,
simultaneously
photostimulate
more
than
80
neurons
over
150
μm
depth
layer
2/3
visual
cortex,
while
surrounding
neurons.
We
validate
usefulness
method
by
photoactivating
3D
selected
groups
interneurons,
suppressing
response
nearby
pyramidal
stimuli
awake
animals.
Our
all-optical
approach
be
used
as
general
platform
read
write
neuronal
activity.
Journal of Neuroscience,
Journal Year:
2018,
Volume and Issue:
39(1), P. 125 - 139
Published: Nov. 9, 2018
Sensory
perception
depends
on
neocortical
computations
that
contextually
adjust
sensory
signals
in
different
internal
and
environmental
contexts.
Neocortical
layer
1
(L1)
is
the
main
target
of
cortical
subcortical
inputs
provide
"top-down"
information
for
context-dependent
processing.
Although
L1
devoid
excitatory
cells,
it
contains
distal
"tuft"
dendrites
pyramidal
cells
(PCs)
located
deeper
layers.
also
a
poorly
characterized
population
GABAergic
interneurons
(INs),
which
regulate
impact
top-down
have
PCs.
A
poor
comprehension
IN
subtypes
how
they
affect
PC
activity
has
hampered
our
understanding
mechanisms
underlie
contextual
modulation
We
used
novel
genetic
strategies
male
female
mice
combined
with
electrophysiological
morphological
methods
to
help
resolve
differences
were
unclear
when
using
only
and/or
approaches.
discovered
four
distinct
populations
INs,
each
unique
molecular
profile,
morphology,
electrophysiology,
including
previously
overlooked
(named
here
"canopy
cells")
representing
40%
INs.
In
contrast
what
observed
other
layers,
most
neurons
appear
be
layer,
highlighting
specialized
character
signal
processing
takes
place
L1.
This
new
INs
L1,
as
well
application
based
markers
described
here,
will
enable
investigation
cellular
circuit
unprecedented
detail.SIGNIFICANCE
STATEMENT
corticocortical
projections
mediate
or
perception.
However,
this
often
referred
"enigmatic"
because
its
neuronal
composition
been
difficult
determine.
Using
combination
genetic,
electrophysiological,
approaches
helped
single
approach,
we
able
decipher
identified
distinguish
found
interneurons,
profiles,
morphologies,
properties.
These
findings
framework
studying
underlying
Annual Review of Neuroscience,
Journal Year:
2019,
Volume and Issue:
43(1), P. 1 - 30
Published: July 12, 2019
Cortical
interneurons
display
striking
differences
in
shape,
physiology,
and
other
attributes,
challenging
us
to
appropriately
classify
them.
We
previously
suggested
that
interneuron
types
should
be
defined
by
their
role
cortical
processing.
Here,
we
revisit
the
question
of
how
codify
diversity
based
upon
division
labor
function
as
controllers
information
flow.
suggest
developmental
trajectories
provide
a
guide
for
appreciating
argue
subtype
identity
is
generated
using
configurational
(rather
than
combinatorial)
code
transcription
factors
produce
attractor
states
underlying
gene
regulatory
network.
present
our
updated
three-stage
model
specification:
an
initial
cardinal
step,
allocating
into
few
major
classes,
followed
definitive
refinement,
creating
subclasses
settling
within
cortex,
lastly,
state
determination,
reflecting
incorporation
functional
circuit
ensembles.
close
discussing
findings
indicating
classes
are
both
evolutionarily
ancient
conserved.
propose
complexity
circuits
phylogenetically
old
types,
complemented
evolutionary
increase
principal
neuron
diversity.
This
suggests
natural
neurobiological
definition
might
derived
from
match
between
origin
computational
function.
Entropy,
Journal Year:
2022,
Volume and Issue:
24(4), P. 455 - 455
Published: March 25, 2022
The
spiking
neural
network
(SNN)
is
regarded
as
a
promising
candidate
to
deal
with
the
great
challenges
presented
by
current
machine
learning
techniques,
including
high
energy
consumption
induced
deep
networks.
However,
there
still
gap
between
SNNs
and
online
meta-learning
performance
of
artificial
Importantly,
existing
spike-based
models
do
not
target
robust
based
on
spatio-temporal
dynamics
superior
theory.
In
this
invited
article,
we
propose
novel
framework
minimum
error
entropy,
called
MeMEE,
using
entropy
theory
establish
gradient-based
scheme
in
recurrent
SNN
architecture.
We
examine
various
types
tasks,
autonomous
navigation
working
memory
test.
experimental
results
show
that
proposed
MeMEE
model
can
effectively
improve
accuracy
robustness
performance.
More
importantly,
emphasizes
application
modern
information
theoretic
approach
state-of-the-art
algorithms.
Therefore,
paper,
provide
new
perspectives
for
further
integration
advanced
SNNs,
which
could
be
merit
applied
developments
neuromorphic
systems.
Annual Review of Neuroscience,
Journal Year:
2021,
Volume and Issue:
44(1), P. 221 - 252
Published: March 17, 2021
Many
of
our
daily
activities,
such
as
riding
a
bike
to
work
or
reading
book
in
noisy
cafe,
and
highly
skilled
professional
playing
tennis
match
violin
concerto,
depend
upon
the
ability
brain
quickly
make
moment-to-moment
adjustments
behavior
response
results
actions.
Particularly,
they
neocortex
integrate
information
provided
by
sensory
organs
(bottom-up
information)
with
internally
generated
signals
expectations
attentional
(top-down
information).
This
integration
occurs
pyramidal
cells
(PCs)
their
long
apical
dendrite,
which
branches
extensively
into
dendritic
tuft
layer
1
(L1).
The
outermost
neocortex,
L1
is
conserved
across
cortical
areas
species.
Importantly,
predominant
input
for
top-down
information,
relayed
rich,
dense
mesh
long-range
projections
that
provide
PCs.
Here,
we
discuss
recent
progress
understanding
composition
review
evidence
processing
contributes
functions
perception,
cross-modal
integration,
controlling
states
consciousness,
attention,
learning.
Nature,
Journal Year:
2022,
Volume and Issue:
607(7918), P. 330 - 338
Published: July 6, 2022
Abstract
Transcriptomics
has
revealed
that
cortical
inhibitory
neurons
exhibit
a
great
diversity
of
fine
molecular
subtypes
1–6
,
but
it
is
not
known
whether
these
have
correspondingly
diverse
patterns
activity
in
the
living
brain.
Here
we
show
primary
visual
cortex
(V1)
correlates
with
brain
state,
which
are
organized
by
single
factor:
position
along
main
axis
transcriptomic
variation.
We
combined
vivo
two-photon
calcium
imaging
mouse
V1
method
to
identify
mRNA
for
72
selected
genes
ex
slices.
classified
imaged
layers
1–3
into
three-level
hierarchy
5
subclasses,
11
types
and
35
using
previously
defined
clusters
3
.
Responses
stimuli
differed
significantly
only
between
cells
Sncg
subclass
uniformly
suppressed,
other
subclasses
predominantly
excited.
Modulation
state
at
all
hierarchical
levels
could
be
largely
predicted
from
first
principal
component,
also
correlations
simultaneously
recorded
cells.
Inhibitory
fired
more
resting,
oscillatory
states
had
smaller
fraction
their
axonal
projections
layer
1,
narrower
spikes,
lower
input
resistance
weaker
adaptation
as
determined
vitro
7
expressed
cholinergic
receptors.
Subtypes
during
arousal
opposite
properties.
Thus,
simple
principle
may
explain
how
shape
state-dependent
processing.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2023,
Volume and Issue:
unknown
Published: Jan. 24, 2023
Mammalian
cortex
features
a
vast
diversity
of
neuronal
cell
types,
each
with
characteristic
anatomical,
molecular
and
functional
properties.
Synaptic
connectivity
powerfully
shapes
how
type
participates
in
the
cortical
circuit,
but
mapping
rules
at
resolution
distinct
types
remains
difficult.
Here,
we
used
millimeter-scale
volumetric
electron
microscopy
1
to
investigate
all
inhibitory
neurons
across
densely-segmented
population
1352
cells
spanning
layers
mouse
visual
cortex,
producing
wiring
diagram
connections
more
than
70,000
synapses.
Taking
data-driven
approach
inspired
by
classical
neuroanatomy,
classified
based
on
relative
targeting
dendritic
compartments
other
developed
novel
classification
excitatory
morphological
synaptic
input
The
between
revealed
class
disinhibitory
specialist
basket
cells,
addition
familiar
subclasses.
Analysis
onto
found
widespread
specificity,
many
interneurons
exhibiting
differential
certain
subpopulations
spatially
intermingled
potential
targets.
Inhibitory
was
organized
into
“motif
groups,”
diverse
sets
that
collectively
target
both
perisomatic
same
Collectively,
our
analysis
identified
new
organizing
principles
for
inhibition
will
serve
as
foundation
linking
modern
multimodal
atlases
diagram.