bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Sept. 14, 2024
Abstract
Interoception
refers
to
the
sensing
of
internal
state
body
and
encompasses
various
bodily
axes.
Yet
many
interoceptive
signals
display
unique
qualities.
The
heart,
lungs,
stomach
each
have
their
distinct
frequencies,
afferent
pathways,
respective
functions.
At
same
time
these
organs
has
been
demonstrated
interact
with
neural
activity
behaviour.
To
what
extent
then
should
different
be
treated
as
separate
modalities
in
interoception?
We
here
aim
answer
this
question
by
assessing
human
participants
whether
phase
visceral
rhythms
is
coupled
corticospinal
excitability
motor
system,
coupling
happens
an
organ-specific
or
organ-general
manner.
combined
continuous
physiological
recordings
single
pulse
Transcranial
Magnetic
Stimulation
(TMS)
probe
phase-amplitude
between
cardiac,
respiratory,
gastric
rhythm
amplitude
Motor
Evoked
Potentials
(MEP).
All
three
contributed
MEP
similar
effect
sizes
at
group
level.
However,
we
found
no
relation
strengths
organs.
Thus,
displaying
high
one
organ
did
not
necessarily
other
organs,
suggestive
profiles.
There
was
also
link
self-reported
awareness
actual
coupling,
suggesting
are
dimensions
interoception.
Together
results
show
that
mediated
least
partially
independent
mechanisms.
Nature Methods,
Journal Year:
2024,
Volume and Issue:
21(7), P. 1329 - 1339
Published: July 1, 2024
Abstract
Keypoint
tracking
algorithms
can
flexibly
quantify
animal
movement
from
videos
obtained
in
a
wide
variety
of
settings.
However,
it
remains
unclear
how
to
parse
continuous
keypoint
data
into
discrete
actions.
This
challenge
is
particularly
acute
because
are
susceptible
high-frequency
jitter
that
clustering
mistake
for
transitions
between
Here
we
present
keypoint-MoSeq,
machine
learning-based
platform
identifying
behavioral
modules
(‘syllables’)
without
human
supervision.
Keypoint-MoSeq
uses
generative
model
distinguish
noise
behavior,
enabling
identify
syllables
whose
boundaries
correspond
natural
sub-second
discontinuities
pose
dynamics.
outperforms
commonly
used
alternative
methods
at
these
transitions,
capturing
correlations
neural
activity
and
behavior
classifying
either
solitary
or
social
behaviors
accordance
with
annotations.
also
works
multiple
species
generalizes
beyond
the
syllable
timescale,
fast
sniff-aligned
movements
mice
spectrum
oscillatory
fruit
flies.
Keypoint-MoSeq,
therefore,
renders
accessible
modular
structure
through
standard
video
recordings.
The
ability
to
control
a
behavioral
task
or
stimulate
neural
activity
based
on
animal
behavior
in
real-time
is
an
important
tool
for
experimental
neuroscientists.
Ideally,
such
tools
are
noninvasive,
low-latency,
and
provide
interfaces
trigger
external
hardware
posture.
Recent
advances
pose
estimation
with
deep
learning
allows
researchers
train
networks
accurately
quantify
wide
variety
of
behaviors.
Here,
we
new
<monospace>DeepLabCut-Live!</monospace>
package
that
achieves
low-latency
(within
15
ms,
>100
FPS),
additional
forward-prediction
module
zero-latency
feedback,
dynamic-cropping
mode
higher
inference
speeds.
We
also
three
options
using
this
ease:
(1)
stand-alone
GUI
(called
<monospace>DLC-Live!
GUI</monospace>),
integration
into
(2)
<monospace>Bonsai,</monospace>
(3)
<monospace>AutoPilot</monospace>.
Lastly,
benchmarked
performance
range
systems
so
experimentalists
can
easily
decide
what
required
their
needs.
Annual Review of Condensed Matter Physics,
Journal Year:
2021,
Volume and Issue:
13(1), P. 191 - 213
Published: Nov. 9, 2021
Fluid
turbulence
is
a
double-edged
sword
for
the
navigation
of
macroscopic
animals,
such
as
birds,
insects,
and
rodents.
On
one
hand,
enables
pheromone
communication
among
mates
possibility
locating
food
by
their
odors
from
long
distances.
Molecular
diffusion
would
indeed
be
unable
to
spread
over
relevant
distances
in
natural
conditions.
other
turbulent
flows
are
hard
predict,
learning
effective
maneuvers
navigate
them
challenging,
we
discuss
this
review.
We
first
provide
summary
olfactory
organs
that
sense
airborne
or
surface-bound
odors,
well
computational
tasks
animals
face
when
extracting
information
useful
an
signal.
A
compendium
dynamics
transport
emphasizes
those
aspects
directly
impact
animals’
behavior.
The
state
art
on
navigational
strategies
discussed,
followed
concluding
section
dedicated
future
challenges
field.
For
many
organisms,
searching
for
relevant
targets
such
as
food
or
mates
entails
active,
strategic
sampling
of
the
environment.
Finding
odorous
may
be
most
ancient
search
problem
that
motile
organisms
evolved
to
solve.
While
chemosensory
navigation
has
been
well
characterized
in
microorganisms
and
invertebrates,
spatial
olfaction
vertebrates
is
poorly
understood.
We
have
established
an
olfactory
assay
which
freely
moving
mice
navigate
noisy
concentration
gradients
airborne
odor.
Mice
solve
this
task
using
gradient
cues
do
not
require
stereo
performance.
During
performance,
respiration
nose
movement
are
synchronized
with
tens
milliseconds
precision.
This
synchrony
present
during
trials
largely
absent
inter-trial
intervals,
suggesting
sniff-synchronized
a
behavioral
state
rather
than
simply
constant
accompaniment
fast
breathing.
To
reveal
spatiotemporal
structure
these
active
sensing
movements,
we
used
machine
learning
methods
parse
motion
trajectories
into
elementary
motifs.
Motifs
fall
two
clusters,
correspond
investigation
approach
states.
Investigation
motifs
lock
precisely
sniffing,
individual
preferentially
occur
at
specific
phases
sniff
cycle.
The
allocentric
indicates
advantage
both
sides
sharpest
part
odor
gradient,
consistent
serial-sniff
strategy
sensing.
work
clarifies
sensorimotor
strategies
mouse
guides
ongoing
underlying
neural
mechanisms.
Naturalistic
animal
behavior
exhibits
a
strikingly
complex
organization
in
the
temporal
domain,
with
variability
arising
from
at
least
three
sources:
hierarchical,
contextual,
and
stochastic.
What
neural
mechanisms
computational
principles
underlie
such
intricate
features?
In
this
review,
we
provide
critical
assessment
of
existing
behavioral
neurophysiological
evidence
for
these
sources
naturalistic
behavior.
Recent
research
converges
on
an
emergent
mechanistic
theory
based
attractor
networks
metastable
dynamics,
via
coordinated
interactions
between
mesoscopic
circuits.
We
highlight
crucial
role
played
by
structural
heterogeneities
as
well
noise
feedback
loops
regulating
flexible
assess
shortcomings
missing
links
current
theoretical
experimental
literature
propose
new
directions
investigation
to
fill
gaps.
In
order
to
survive,
animals
often
need
navigate
a
complex
odor
landscape
where
odors
can
exist
in
airborne
plumes.
Several
plume
properties
change
with
distance
from
the
source,
providing
potential
navigational
cues
searching
animals.
Here,
we
focus
on
intermittency,
temporal
property
that
measures
fraction
of
time
is
above
threshold
at
given
point
within
and
decreases
increasing
source.
We
sought
determine
if
mice
use
changes
intermittency
locate
an
To
do
so,
trained
discrimination
task.
establish
discriminate
samples
low
high
neural
responses
olfactory
bulb
account
for
task
performance
support
encoding.
Modulation
sniffing,
behavioral
parameter
highly
dynamic
during
odor-guided
navigation,
affects
both
outcome
representation
intermittency.
Together,
this
work
demonstrates
inform
search
more
broadly
supports
notion
mammalian
odor-based
navigation
be
guided
by
properties.
Cell and Tissue Research,
Journal Year:
2021,
Volume and Issue:
383(1), P. 473 - 483
Published: Jan. 1, 2021
Abstract
The
sense
of
smell
is
an
essential
modality
for
many
species,
in
particular
nocturnal
and
crepuscular
mammals,
to
gather
information
about
their
environment.
Olfactory
cues
provide
over
a
large
range
distances,
allowing
behaviours
ranging
from
simple
detection
recognition
objects,
tracking
trails
navigating
using
odour
plumes
afar.
In
this
review,
we
discuss
the
features
natural
olfactory
environment
brief
overview
how
can
be
sampled
might
represented
processed
by
mammalian
system.
Finally,
recent
behavioural
approaches
that
address
mammals
extract
spatial
three
different
contexts:
trail
tracking,
plume
and,
more
general,
olfactory-guided
navigation.
Recent
technological
developments
have
seen
spatiotemporal
aspect
olfaction
gain
significant
attention,
both
promising
aspects
rapidly
developing
paradigms
stimulus
control
technologies
as
well
limitations.
We
conclude
that,
while
still
its
beginnings,
research
on
offers
entry
point
into
understanding
mechanisms
space.