Scientific Reports,
Journal Year:
2023,
Volume and Issue:
13(1)
Published: Dec. 20, 2023
Animals
often
display
choice
bias,
or
a
preference
for
one
option
over
the
others,
which
can
significantly
impede
learning
new
tasks.
Delayed
match-to-sample
(DMS)
tasks
with
two-alternative
choices
of
lickports
on
left
and
right
have
been
widely
used
to
study
sensory
processing,
working
memory,
associative
memory
in
head-fixed
animals.
However,
extensive
training
time,
primarily
due
animals'
biased
licking
responses,
limits
their
practical
utility.
Here,
we
present
implementation
an
automated
side
bias
correction
system
olfactory
DMS
task,
where
lickport
positions
ratio
left-
right-rewarded
trials
are
dynamically
adjusted
counterbalance
mouse's
responses
during
training.
The
algorithm
moves
preferred
farther
away
from
mouth
non-preferred
closer,
while
also
increasing
proportion
when
occurs.
We
found
that
adjusting
distances
proportions
versus
effectively
reduces
bias.
Further
analyses
reveal
these
adjustments
correlate
subsequent
improvements
behavioral
performance.
Our
findings
suggest
is
valuable
tool
enhancing
applicability
involving
choices.
Nature Neuroscience,
Journal Year:
2023,
Volume and Issue:
26(11), P. 1916 - 1928
Published: Oct. 9, 2023
The
neocortex
and
cerebellum
interact
to
mediate
cognitive
functions.
It
remains
unknown
how
the
two
structures
organize
into
functional
networks
specific
behaviors.
Here
we
delineate
activity
supporting
motor
planning
in
relation
mesoscale
cortico-cerebellar
connectome.
In
mice
directional
licking
based
on
short-term
memory,
preparatory
instructing
future
movement
depends
anterior
lateral
cortex
(ALM)
cerebellum.
Transneuronal
tracing
revealed
divergent
largely
open-loop
connectivity
between
ALM
distributed
regions
of
A
cerebellum-wide
survey
neuronal
enriched
hotspot
with
conjunctive
input-output
ALM.
Perturbation
experiments
show
that
conjunction
were
required
for
maintaining
correct
subsequent
movement.
Other
cerebellar
contributed
little
despite
input
or
output
These
results
identify
a
loop
suggest
selectively
establishes
reciprocal
communications
orchestrate
planning.
Nature,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 26, 2025
Abstract
Revealing
the
connectivity
of
functionally
identified
individual
neurons
is
necessary
to
understand
how
activity
patterns
emerge
and
support
behaviour.
Yet
brain-wide
presynaptic
wiring
rules
that
lay
foundation
for
functional
selectivity
remain
largely
unexplored.
Cortical
neurons,
even
in
primary
sensory
cortex,
are
heterogeneous
their
selectivity,
not
only
stimuli
but
also
multiple
aspects
Here,
investigate
underlying
pyramidal
behavioural
state
1–10
somatosensory
cortex
(S1),
we
used
two-photon
calcium
imaging,
neuropharmacology,
single-cell-based
monosynaptic
input
tracing
optogenetics.
We
show
state-dependent
stable
over
time.
These
minimally
affected
by
direct
neuromodulatory
inputs
driven
primarily
glutamatergic
inputs.
Analysis
networks
with
distinct
profiles
revealed
although
state-related
state-unrelated
shared
a
similar
pattern
local
within
S1,
long-range
differed.
Individual
cortical
irrespective
properties,
received
converging
from
main
S1-projecting
areas.
tracked
smaller
proportion
motor
larger
thalamic
Optogenetic
suppression
reduced
this
was
externally
driven.
Our
results
reveal
as
substrate
preconfigured
network
dynamics
associated
state.
Nature Communications,
Journal Year:
2023,
Volume and Issue:
14(1)
Published: Nov. 14, 2023
Abstract
Action
selection
occurs
through
competition
between
potential
choice
options.
Neural
correlates
of
are
observed
across
frontal
cortex
and
downstream
superior
colliculus
(SC)
during
decision-making,
yet
how
these
regions
interact
to
mediate
remains
unresolved.
Here
we
report
that
SC
can
bidirectionally
modulate
drive
activity
in
cortex.
In
the
mouse,
topographically
matched
formed
a
descending
motor
pathway
for
directional
licking
re-entrant
loop
via
thalamus.
During
distinct
neuronal
populations
both
encoded
opposing
lick
directions
exhibited
competitive
interactions.
GABAergic
neurons
ipsilateral
locally
inhibited
glutamatergic
contralateral
choice.
Activating
or
suppressing
cell
types
could
These
results
thus
identify
as
major
locus
within
broader
action
network.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Feb. 6, 2024
Summary
Vocalization
is
a
complex
behavior
ranging
from
fully
innate
to
advanced
vocal
learning.
Vocal
learning
species
possess
primary
motor
cortex
(M1)
region
that
makes
direct
projections
brainstem
neurons,
which
are
thought
facilitate
and
fine
modulation
of
vocalizations.
Surprisingly,
similar,
albeit
sparse,
projection
M1
was
found
in
mice.
Mice
produce
ultrasonic
vocalizations
(USV)
appear
be
mostly
innate.
Modulation
these
USVs
impacted
by
lesions
this
region,
but
genetic
ablation
the
leads
few,
if
any,
changes
USVs.
It
remained
unclear
whether
has
any
control
over
organ
non-learning
species.
In
current
study,
we
stimulation
different
parts
mice
can
generate
contractions
laryngeal
jaw
muscles,
with
latencies
suggestive
both
indirect
neurons.
Viral
tracing
reveals
single-
double-labeled
populations
cortical
neurons
simultaneously
innervate
laryngeal,
jaw,
forelimb
circuits.
Chemical
reveal
an
anterolateral
orofacial
regulates
number
syllables
sequences.
Our
results
provide
evidence
non-learner
some
influence
on
musculature,
consistent
continuum
hypothesis
They
also
representations
muscles
for
behaviors
across
mouse
more
intermixed
than
previously
considered.
We
discuss
how
impact
hypotheses
evolution
organization.
Science,
Journal Year:
2024,
Volume and Issue:
386(6722)
Published: Nov. 7, 2024
Simultaneous
recordings
from
hundreds
or
thousands
of
neurons
are
becoming
routine
because
innovations
in
instrumentation,
molecular
tools,
and
data
processing
software.
Such
can
be
analyzed
with
science
methods,
but
it
is
not
immediately
clear
what
methods
to
use
how
adapt
them
for
neuroscience
applications.
We
review,
categorize,
illustrate
diverse
analysis
neural
population
describe
these
have
been
used
make
progress
on
longstanding
questions
neuroscience.
review
a
variety
approaches,
ranging
the
mathematically
simple
complex,
exploratory
hypothesis-driven,
recently
developed
more
established
methods.
also
some
common
statistical
pitfalls
analyzing
large-scale
data.
Understanding
neural
activity
organization
is
vital
for
deciphering
brain
function.
By
recording
whole-brain
calcium
in
larval
zebrafish
during
hunting
and
spontaneous
behaviors,
we
find
that
the
shape
of
space,
described
by
covariance
spectrum,
scale-invariant:
a
smaller,
randomly
sampled
cell
assembly
resembles
entire
brain.
This
phenomenon
can
be
explained
Euclidean
Random
Matrix
theory,
where
neurons
are
reorganized
from
anatomical
to
functional
positions
based
on
their
correlations.
Three
factors
contribute
observed
scale
invariance:
slow
correlation
decay,
higher
space
dimension,
heterogeneity.
In
addition
matching
data
mice,
our
theory
analysis
demonstrate
how
geometry
evolves
with
population
sizes
sampling
methods,
thus
revealing
an
organizing
principle
brain-wide
activity.