PLoS Computational Biology,
Год журнала:
2021,
Номер
17(9), С. e1009439 - e1009439
Опубликована: Сен. 22, 2021
Recent
neuroscience
studies
demonstrate
that
a
deeper
understanding
of
brain
function
requires
behavior.
Detailed
behavioral
measurements
are
now
often
collected
using
video
cameras,
resulting
in
an
increased
need
for
computer
vision
algorithms
extract
useful
information
from
data.
Here
we
introduce
new
analysis
tool
combines
the
output
supervised
pose
estimation
(e.g.
DeepLabCut)
with
unsupervised
dimensionality
reduction
methods
to
produce
interpretable,
low-dimensional
representations
videos
more
than
estimates
alone.
We
this
by
extracting
interpretable
features
three
different
head-fixed
mouse
preparations,
as
well
freely
moving
open
field
arena,
and
show
how
these
can
facilitate
downstream
neural
analyses.
also
produced
our
model
improve
precision
interpretation
analyses
compared
outputs
either
fully
or
Nature Neuroscience,
Год журнала:
2023,
Номер
27(1), С. 187 - 195
Опубликована: Ноя. 20, 2023
Recent
studies
in
mice
have
shown
that
orofacial
behaviors
drive
a
large
fraction
of
neural
activity
across
the
brain.
To
understand
nature
and
function
these
signals,
we
need
better
computational
models
to
characterize
relate
them
activity.
Here
developed
Facemap,
framework
consisting
keypoint
tracker
deep
network
encoder
for
predicting
Our
algorithm
tracking
mouse
was
more
accurate
than
existing
pose
estimation
tools,
while
processing
speed
several
times
faster,
making
it
powerful
tool
real-time
experimental
interventions.
The
Facemap
easy
adapt
data
from
new
labs,
requiring
as
few
10
annotated
frames
near-optimal
performance.
We
used
keypoints
inputs
which
predicts
~50,000
simultaneously-recorded
neurons
and,
visual
cortex,
doubled
amount
explained
variance
compared
previous
methods.
Using
this
model,
found
neuronal
clusters
were
well
predicted
behavior
spatially
spread
out
cortex.
also
behavioral
features
model
had
stereotypical,
sequential
dynamics
not
reversible
time.
In
summary,
provides
stepping
stone
toward
understanding
brain-wide
signals
their
relation
behavior.
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2023,
Номер
unknown
Опубликована: Июль 4, 2023
Abstract
A
key
challenge
in
neuroscience
is
understanding
how
neurons
hundreds
of
interconnected
brain
regions
integrate
sensory
inputs
with
prior
expectations
to
initiate
movements.
It
has
proven
difficult
meet
this
when
different
laboratories
apply
analyses
recordings
during
behaviours.
Here,
we
report
a
comprehensive
set
from
115
mice
11
labs
performing
decision-making
task
sensory,
motor,
and
cognitive
components,
obtained
547
Neuropixels
probe
insertions
covering
267
areas
the
left
forebrain
midbrain
right
hindbrain
cerebellum.
We
provide
an
initial
appraisal
brain-wide
map,
assessing
neural
activity
encodes
variables.
Representations
visual
stimuli
appeared
transiently
classical
after
stimulus
onset
then
spread
ramp-like
collection
mid-
that
also
encoded
choices.
Neural
responses
correlated
motor
action
almost
everywhere
brain.
Responses
reward
delivery
consumption
versus
omission
were
widespread.
objective
weaker,
found
sparse
sets
restricted
regions.
This
publicly
available
dataset
represents
unprecedented
resource
for
computations
distributed
across
within
drive
behaviour.
Cell Reports,
Год журнала:
2023,
Номер
42(6), С. 112554 - 112554
Опубликована: Май 24, 2023
Intracortical
microstimulation
(ICMS)
enables
applications
ranging
from
neuroprosthetics
to
causal
circuit
manipulations.
However,
the
resolution,
efficacy,
and
chronic
stability
of
neuromodulation
are
often
compromised
by
adverse
tissue
responses
indwelling
electrodes.
Here
we
engineer
ultraflexible
stim-nanoelectronic
threads
(StimNETs)
demonstrate
low
activation
threshold,
high
chronically
stable
ICMS
in
awake,
behaving
mouse
models.
In
vivo
two-photon
imaging
reveals
that
StimNETs
remain
seamlessly
integrated
with
nervous
throughout
stimulation
periods
elicit
stable,
focal
neuronal
at
currents
2
μA.
Importantly,
evoke
longitudinally
behavioral
for
over
8
months
a
markedly
charge
injection
0.25
nC/phase.
Quantified
histological
analyses
show
induces
no
degeneration
or
glial
scarring.
These
results
suggest
tissue-integrated
electrodes
provide
path
robust,
long-lasting,
spatially
selective
currents,
which
lessens
risk
damage
exacerbation
off-target
side
effects.
Nature Communications,
Год журнала:
2024,
Номер
15(1)
Опубликована: Янв. 22, 2024
Abstract
Trial
history
biases
and
lapses
are
two
of
the
most
common
suboptimalities
observed
during
perceptual
decision-making.
These
routinely
assumed
to
arise
from
distinct
processes.
However,
previous
work
has
suggested
that
they
covary
in
their
prevalence
proposed
neural
substrates
overlap.
Here
we
demonstrate
decision-making,
apparent
can
both
a
cognitive
process
is
optimal
under
mistaken
beliefs
world
changing
i.e.
nonstationary.
This
corresponds
an
accumulation-to-bound
model
with
history-dependent
updates
initial
state
accumulator.
We
test
our
model’s
predictions
about
relative
lapses,
show
robustly
borne
out
decision-making
datasets
male
rats,
including
data
novel
reaction
time
task.
Our
improves
ability
precisely
predict
dynamics
within
across
trials,
by
positing
through
which
agents
generate
quasi-stochastic
choices.
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2025,
Номер
unknown
Опубликована: Фев. 6, 2025
High-resolution
extracellular
electrophysiology
is
the
gold
standard
for
recording
spikes
from
distributed
neural
populations,
and
especially
powerful
when
combined
with
optogenetics
manipulation
of
specific
cell
types
high
temporal
resolution.
We
integrated
these
approaches
into
prototype
Neuropixels
Opto
probes,
which
combine
electronic
photonic
circuits.
These
devices
pack
960
electrical
sites
two
sets
14
light
emitters
onto
a
1
cm
shank,
allowing
spatially
addressable
optogenetic
stimulation
blue
red
light.
In
mouse
cortex,
probes
delivered
high-quality
recordings
together
optogenetics,
differentially
activating
or
silencing
neurons
at
distinct
cortical
depths.
striatum
other
deep
structures,
efficient
optotagging,
facilitating
identification
in
parallel.
represent
an
unprecedented
tool
recording,
identifying,
manipulating
neuronal
populations.
Neuron,
Год журнала:
2021,
Номер
110(2), С. 280 - 296.e10
Опубликована: Ноя. 5, 2021
Information
processing
is
energetically
expensive.
In
the
mammalian
brain,
it
unclear
how
information
coding
and
energy
use
are
regulated
during
food
scarcity.
Using
whole-cell
recordings
two-photon
imaging
in
layer
2/3
mouse
visual
cortex,
we
found
that
restriction
reduced
AMPA
receptor
conductance,
reducing
synaptic
ATP
by
29%.
Neuronal
excitability
was
nonetheless
preserved
a
compensatory
increase
input
resistance
depolarized
resting
potential.
Consequently,
neurons
spiked
at
similar
rates
as
controls
but
spent
less
on
underlying
excitatory
currents.
This
energy-saving
strategy
had
cost
because
amplified
variability
of
visually-evoked
subthreshold
responses,
leading
to
32%
broadening
orientation
tuning
impaired
fine
discrimination.
reduction
precision
associated
with
levels
fat
mass-regulated
hormone
leptin
restored
exogenous
supplementation.
Our
findings
reveal
metabolic
state
dynamically
regulates
neocortex.
Laboratory
behavioural
tasks
are
an
essential
research
tool.
As
questions
asked
of
behaviour
and
brain
activity
become
more
sophisticated,
the
ability
to
specify
run
richly
structured
becomes
important.
An
increasing
focus
on
reproducibility
also
necessitates
accurate
communication
task
logic
other
researchers.
To
these
ends,
we
developed
pyControl,
a
system
open-source
hardware
software
for
controlling
experiments
comprising
simple
yet
flexible
Python-based
syntax
specifying
as
extended
state
machines,
modules
building
setups,
graphical
user
interface
designed
efficiently
running
high-throughput
many
setups
in
parallel,
all
with
extensive
online
documentation.
These
tools
make
it
quicker,
easier,
cheaper
implement
rich
at
scale.
important,
pyControl
facilitates
through
highly
readable
definition
self-documenting
features.
Here,
outline
system's
design
rationale,
present
validation
characterising
performance,
demonstrate
example
applications
freely
moving
head-fixed
mouse
behaviour.
Neuron,
Год журнала:
2022,
Номер
110(10), С. 1631 - 1640.e4
Опубликована: Март 11, 2022
Functional
ultrasound
imaging
(fUSI)
is
an
appealing
method
for
measuring
blood
flow
and
thus
infer
brain
activity,
but
it
relies
on
the
physiology
of
neurovascular
coupling
requires
extensive
signal
processing.
To
establish
to
what
degree
fUSI
trial-by-trial
signals
reflect
neural
we
performed
simultaneous
recordings
with
Neuropixels
probes
in
awake
mice.
strongly
correlated
slow
(<0.3
Hz)
fluctuations
local
firing
rate
were
closely
predicted
by
smoothed
neurons,
particularly
putative
inhibitory
neurons.
The
optimal
smoothing
filter
had
a
width
∼3
s,
matched
hemodynamic
response
function
mice,
was
invariant
across
mice
stimulus
conditions,
similar
cortex
hippocampus.
also
spatially:
rates
as
highly
hemispheres
signals.
Thus,
measured
bears
simple
accurate
relationship
neuronal
firing.