Proceedings of the National Academy of Sciences,
Journal Year:
2024,
Volume and Issue:
121(48)
Published: Nov. 19, 2024
Natural
visual
scenes
are
dominated
by
spatiotemporal
image
dynamics,
but
how
the
system
integrates
“movie”
information
over
time
is
unclear.
We
characterized
optic
tectal
neuronal
receptive
fields
using
sparse
noise
stimuli
and
reverse
correlation
analysis.
Neurons
recognized
movies
of
~200-600
ms
durations
with
defined
start
stop
stimuli.
Movie
from
to
responses
were
tuned
sensory
experience
though
a
hierarchical
algorithm.
encoded
families
sequences
following
trigonometric
functions.
Spike
sequence
flow
suggest
that
repetitive
circuit
motifs
underlie
movie
detection.
Principles
frog
topographic
retinotectal
plasticity
cortical
simple
cells
employed
in
machine
learning
networks
for
static
recognition,
suggesting
discoveries
principles
encoding
brain,
such
as
duration
encoded,
may
benefit
recognition
technology.
built
trained
network
mimicked
neural
encoders.
The
network,
named
MovieNet,
outperformed
current
classifying
natural
scenes,
while
reducing
data
size
steps
complete
classification
task.
This
study
reveals
brain
demonstrates
brain-based
processing
enable
efficient
learning.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Oct. 26, 2024
Abstract
Coordinated
hand
movements
used
to
grasp
and
manipulate
objects
are
crucial
for
many
daily
activities,
such
as
tying
shoelaces
or
opening
jars.
Recently,
the
string-pulling
task
–
which
involves
cyclically
reaching,
grasping
pulling
a
string
has
been
study
coordinated
in
rodents
humans.
Here
we
characterize
how
adult
common
marmosets
perform
describe
changes
performance
across
lifespan.
Marmosets
(n=15,
7
female)
performed
food
reward
using
an
instrumented
apparatus
attached
their
home-cage.
Movement
kinematics
were
acquired
markerless
video
tracking
assessed
individual
bimanual
coordination
standard
metrics.
oriented
gaze
towards
above
hands
readily
regardless
of
sex
age.
The
required
very
little
training
animals
routinely
engaged
multiple
trials
per
session
despite
not
being
under
water
control.
All
showed
consistent
speed
similar
Adult
exhibited
clear
effect,
performing
straighter
faster
with
right
showing
idiosyncratic
preference
according
traditional
retrieval
assay.
Hand
effects
also
evident
younger
but
seemed
attenuated
older
animals.
In
terms
coordination,
all
demonstrated
alternating
movement
pattern
vertical
positions.
Two
two
patterns
even
after
substantial
experience.
general,
higher
variability
than
did
adults.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2023,
Volume and Issue:
unknown
Published: April 8, 2023
Retinitis
pigmentosa
is
an
inherited
photoreceptor
degeneration
that
begins
with
rod
loss
followed
by
cone
and
eventual
blindness.
Gene
therapies
are
being
developed,
but
it
unknown
how
retinal
function
depends
on
the
time
of
intervention.
To
uncover
this
dependence,
we
utilized
a
mouse
model
retinitis
capable
artificial
genetic
rescue.
This
enables
benchmark
best-case
gene
therapy
removing
variables
complicate
ability
to
answer
vital
question.
Complete
rescue
was
performed
at
25%,
50%,
70%
(early,
mid
late,
respectively).
Early
treatment
restored
near
wild-type
levels,
specifically
sensitivity
signal
fidelity
ganglion
cells
(RGCs),
'output'
neurons
retina.
However,
some
anatomical
defects
persisted.
Late
retinas
exhibited
continued,
albeit
slowed,
among
RGCs,
as
well
persistent
gliosis.
We
conclude
replacement
delivered
after
50%
unlikely
restore
visual
normal.
critical
information
for
administering
vision.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2023,
Volume and Issue:
unknown
Published: Oct. 17, 2023
Abstract
Nonhuman
primates
(NHPs)
are
indispensable
animal
models
by
virtue
of
the
continuity
behavioral
repertoires
across
primates,
including
humans.
However,
assessment
at
laboratory
level
has
so
far
been
limited.
By
applying
multiple
deep
neural
networks
trained
with
large-scale
datasets,
we
established
an
evaluation
system
that
could
reconstruct
and
estimate
three-dimensional
(3D)
poses
common
marmosets,
a
small
NHP
is
suitable
for
analyzing
complex
natural
behaviors
in
setups.
We
further
developed
downstream
analytic
methodologies
to
quantify
variety
parameters
beyond
simple
motion
kinematics,
such
as
social
interactions
internal
state
behind
actions,
obtained
solely
from
3D
pose
data.
Moreover,
fully
unsupervised
approach
enabled
us
detect
progressively-appearing
symptomatic
over
year
Parkinson’s
disease
model.
The
high-throughput
versatile
nature
our
pipeline
will
open
new
avenue
neuroscience
research
dealing
big-data
analyses
social/pathophysiological
NHPs.
Proceedings of the National Academy of Sciences,
Journal Year:
2024,
Volume and Issue:
121(48)
Published: Nov. 19, 2024
Natural
visual
scenes
are
dominated
by
spatiotemporal
image
dynamics,
but
how
the
system
integrates
“movie”
information
over
time
is
unclear.
We
characterized
optic
tectal
neuronal
receptive
fields
using
sparse
noise
stimuli
and
reverse
correlation
analysis.
Neurons
recognized
movies
of
~200-600
ms
durations
with
defined
start
stop
stimuli.
Movie
from
to
responses
were
tuned
sensory
experience
though
a
hierarchical
algorithm.
encoded
families
sequences
following
trigonometric
functions.
Spike
sequence
flow
suggest
that
repetitive
circuit
motifs
underlie
movie
detection.
Principles
frog
topographic
retinotectal
plasticity
cortical
simple
cells
employed
in
machine
learning
networks
for
static
recognition,
suggesting
discoveries
principles
encoding
brain,
such
as
duration
encoded,
may
benefit
recognition
technology.
built
trained
network
mimicked
neural
encoders.
The
network,
named
MovieNet,
outperformed
current
classifying
natural
scenes,
while
reducing
data
size
steps
complete
classification
task.
This
study
reveals
brain
demonstrates
brain-based
processing
enable
efficient
learning.