bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2024,
Номер
unknown
Опубликована: Май 8, 2024
Abstract
Facial
expressions
and
movements,
from
a
subtle
ephemeral
grimace,
to
vigorous
rapid
chewing,
offer
direct
insights
into
the
moment-to-moment
change
of
neural
physiological
processes.
Mice,
with
discernible
facial
responses
evolutionarily
conserved
mammalian
movement
control
circuits,
provide
an
ideal
model
unravel
link
between
underlying
states.
However,
existing
frameworks
lack
spatial
or
temporal
resolution
sensitively
track
all
movements
mouse
face,
due
its
small
conical
form
factor.
We
introduce
Cheese3D,
computer
vision
system
that
captures
high-speed
3D
motion
entire
face
(including
ears,
eyes,
whisker
pad,
jaw,
while
covering
both
sides
face)
using
calibrated
six-camera
array.
The
interpretable
framework
extracts
dynamics
anatomically-meaningful
features
in
absolute
world
units
at
sub-millimeter
precision.
precise
face-wide
data
generated
by
Cheese3D
provides
clear
insights,
as
shown
proof-of-principle
experiments
predicting
time
under
general
anesthesia
changing
patterns,
inferring
tooth
muscle
anatomy
fast
ingestion
motions
across
measuring
minute
differences
evoked
brainstem
stimulation,
relating
activity
spontaneous
including
expressive
only
measurable
(e.g.,
angles
ear
motion).
can
serve
discovery
tool
renders
highly
readout
otherwise
hidden
internal
Fluctuations
in
brain
and
behavioral
state
are
supported
by
broadly
projecting
neuromodulatory
systems.
In
this
study,
we
use
mesoscale
two-photon
calcium
imaging
to
examine
spontaneous
activity
of
cholinergic
noradrenergic
axons
awake
mice
order
determine
the
interaction
between
arousal/movement
transitions
across
dorsal
cortex
at
distances
separated
up
4
mm.
We
confirm
that
GCaMP6s
within
axonal
projections
both
basal
forebrain
locus
coeruleus
neurons
track
arousal,
indexed
as
pupil
diameter,
changes
engagement,
reflected
bouts
whisker
movement
and/or
locomotion.
The
broad
coordination
even
distant
segments
indicates
these
systems
can
communicate,
part,
through
a
global
signal,
especially
relation
state.
addition
coordinated
activity,
also
find
evidence
subpopulation
may
exhibit
heterogeneity
appears
be
independent
our
measures
By
monitoring
interneurons
cortex,
found
cells
state-dependent
(arousal/movement)
activity.
These
results
demonstrate
provide
prominent
synchronized
signal
related
state,
therefore
contribute
cortical
excitability.
Nature Communications,
Год журнала:
2024,
Номер
15(1)
Опубликована: Апрель 25, 2024
The
feedback
projections
from
cortical
layer
6
(L6CT)
to
the
sensory
thalamus
have
long
been
implicated
in
playing
a
primary
role
gating
signaling
but
remain
poorly
understood.
To
causally
elucidate
full
range
of
effects
these
projections,
we
targeted
silicon
probe
recordings
whisker
thalamocortical
circuit
awake
mice
selectively
expressing
Channelrhodopsin-2
L6CT
neurons.
Through
optogenetic
manipulation
neurons,
multi-site
electrophysiological
recordings,
and
modeling
circuitry,
establish
neurons
as
dynamic
modulators
ongoing
spiking
ventral
posteromedial
nucleus
(VPm),
either
suppressing
or
enhancing
VPm
depending
on
neurons'
firing
rate
synchrony.
Differential
across
excitatory
inhibitory
sub-populations
point
an
overall
influence
excitability
that
could
profound
implications
for
regulating
ethologically
relevant
conditions.
Nature Neuroscience,
Год журнала:
2024,
Номер
unknown
Опубликована: Окт. 16, 2024
Abstract
Neurophysiology
has
long
progressed
through
exploratory
experiments
and
chance
discoveries.
Anecdotes
abound
of
researchers
listening
to
spikes
in
real
time
noticing
patterns
activity
related
ongoing
stimuli
or
behaviors.
With
the
advent
large-scale
recordings,
such
close
observation
data
become
difficult.
To
find
neural
data,
we
developed
‘Rastermap’,
a
visualization
method
that
displays
neurons
as
raster
plot
after
sorting
them
along
one-dimensional
axis
based
on
their
patterns.
We
benchmarked
Rastermap
realistic
simulations
then
used
it
explore
recordings
tens
thousands
from
mouse
cortex
during
spontaneous,
stimulus-evoked
task-evoked
epochs.
also
applied
whole-brain
zebrafish
recordings;
wide-field
imaging
data;
electrophysiological
rat
hippocampus,
monkey
frontal
various
cortical
subcortical
regions
mice;
artificial
networks.
Finally,
illustrate
high-dimensional
scenarios
where
similar
algorithms
cannot
be
effectively.
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2024,
Номер
unknown
Опубликована: Фев. 27, 2024
Representation
learning
in
neural
networks
may
be
implemented
with
supervised
or
unsupervised
algorithms,
distinguished
by
the
availability
of
feedback.
In
sensory
cortex,
perceptual
drives
plasticity,
but
it
is
not
known
if
this
due
to
learning.
Here
we
recorded
populations
up
90,000
neurons
simultaneously
from
primary
visual
cortex
(V1)
and
higher
areas
(HVA),
while
mice
learned
multiple
tasks
as
well
during
unrewarded
exposure
same
stimuli.
Similar
previous
studies,
found
that
changes
task
were
correlated
their
behavioral
However,
mostly
replicated
exposure,
suggesting
fact
The
plasticity
was
concentrated
medial
HVAs
obeyed
visual,
rather
than
spatial,
rules.
only,
a
ramping
reward
prediction
signal
anterior
HVAs,
potentially
involved
Our
results
predict
accelerate
subsequent
learning,
which
validated
experiments.