Cell,
Journal Year:
2019,
Volume and Issue:
178(2), P. 413 - 428.e22
Published: June 20, 2019
Highlights•Simultaneous
neural
recording
from
pairs
of
bats
during
natural
social
interactions•LFP
power
and
spiking
activity
highly
correlated
between
socially
interacting
bats•Neural
correlation
brains
at
timescales
ranging
seconds
to
hours•Neural
covaried
with
the
extent
interactionsSummarySocial
interactions
occur
multiple
individuals,
but
what
is
detailed
relationship
dynamics
across
their
brains?
To
address
this
question
levels
activity,
we
used
wireless
electrophysiology
simultaneously
record
engaged
in
a
wide
range
interactions.
We
found
that
was
remarkably
over
hours.
The
depended
on
shared
environment
most
prominent
high
frequency
local
field
potentials
(>30
Hz),
followed
by
activity.
Furthermore,
degree
interactions,
an
increase
preceded
initiation.
These
results
show
inter-brain
inherent
feature
reveal
domain
where
it
prominent,
provide
foundation
for
studying
its
functional
role
behaviors.Graphical
abstract
In
vivo
calcium
imaging
through
microendoscopic
lenses
enables
of
previously
inaccessible
neuronal
populations
deep
within
the
brains
freely
moving
animals.
However,
it
is
computationally
challenging
to
extract
single-neuronal
activity
from
data,
because
very
large
background
fluctuations
and
high
spatial
overlaps
intrinsic
this
recording
modality.
Here,
we
describe
a
new
constrained
matrix
factorization
approach
accurately
separate
then
demix
denoise
signals
interest.
We
compared
proposed
method
against
previous
independent
components
analysis
nonnegative
approaches.
On
both
simulated
experimental
data
recorded
mice,
our
substantially
improved
quality
extracted
cellular
detected
more
well-isolated
neural
signals,
especially
in
noisy
regimes.
These
advances
can
turn
significantly
enhance
statistical
power
downstream
analyses,
ultimately
improve
scientific
conclusions
derived
data.
Annual Review of Neuroscience,
Journal Year:
2019,
Volume and Issue:
42(1), P. 459 - 483
Published: April 24, 2019
Deciding
what
to
do
and
when
move
is
vital
our
survival.
Clinical
fundamental
studies
have
identified
basal
ganglia
circuits
as
critical
for
this
process.
The
main
input
nucleus
of
the
ganglia,
striatum,
receives
inputs
from
frontal,
sensory,
motor
cortices
interconnected
thalamic
areas
that
provide
information
about
potential
goals,
context,
actions
directly
or
indirectly
modulates
outputs.
striatum
also
dopaminergic
can
signal
reward
prediction
errors
behavioral
transitions
movement
initiation.
Here
we
review
models
how
direct
indirect
pathways
modulate
outputs
facilitate
initiation,
discuss
role
cortical
in
determining
if
it.
Complex
but
exciting
scenarios
emerge
shed
new
light
on
self-paced
Nature Communications,
Journal Year:
2021,
Volume and Issue:
12(1)
Published: Aug. 31, 2021
Abstract
Studying
naturalistic
animal
behavior
remains
a
difficult
objective.
Recent
machine
learning
advances
have
enabled
limb
localization;
however,
extracting
behaviors
requires
ascertaining
the
spatiotemporal
patterns
of
these
positions.
To
provide
link
from
poses
to
actions
and
their
kinematics,
we
developed
B-SOiD
-
an
open-source,
unsupervised
algorithm
that
identifies
without
user
bias.
By
training
classifier
on
pose
pattern
statistics
clustered
using
new
methods,
our
approach
achieves
greatly
improved
processing
speed
ability
generalize
across
subjects
or
labs.
Using
frameshift
alignment
paradigm,
overcomes
previous
temporal
resolution
barriers.
only
single,
off-the-shelf
camera,
provides
categories
sub-action
for
trained
kinematic
measures
individual
trajectories
in
any
model.
These
behavioral
are
but
critical
obtain,
particularly
study
rodent
other
models
pain,
OCD,
movement
disorders.
