A disinhibitory circuit mechanism explains a general principle of peak performance during mid-level arousal
Proceedings of the National Academy of Sciences,
Journal Year:
2024,
Volume and Issue:
121(5)
Published: Jan. 26, 2024
Perceptual
decision-making
is
highly
dependent
on
the
momentary
arousal
state
of
brain,
which
fluctuates
over
time
a
scale
hours,
minutes,
and
even
seconds.
The
textbook
relationship
between
task
performance
captured
by
an
inverted
U-shape,
as
put
forward
in
Yerkes–Dodson
law.
This
law
suggests
optimal
at
moderate
levels
impaired
low
or
high
levels.
However,
despite
its
popularity,
evidence
for
this
humans
mixed
best.
Here,
we
use
pupil-indexed
data
from
various
perceptual
tasks
to
provide
converging
U-shaped
spontaneous
fluctuations
across
different
decision
types
(discrimination,
detection)
sensory
modalities
(visual,
auditory).
To
further
understand
relationship,
built
neurobiologically
plausible
mechanistic
model
show
that
it
possible
reproduce
our
findings
incorporating
two
interneurons
are
both
modulated
signal.
architecture
produces
dynamical
regimes
under
influence
arousal:
one
regime
increases
with
another
decreases
arousal,
together
forming
arousal–performance
relationship.
We
conclude
general
robust
property
processing.
It
might
be
brought
about
act
disinhibitory
pathway
neural
populations
encode
available
used
decision.
Language: Английский
Sensory processing in humans and mice fluctuates between external and internal modes
PLoS Biology,
Journal Year:
2023,
Volume and Issue:
21(12), P. e3002410 - e3002410
Published: Dec. 8, 2023
Perception
is
known
to
cycle
through
periods
of
enhanced
and
reduced
sensitivity
external
information.
Here,
we
asked
whether
such
slow
fluctuations
arise
as
a
noise-related
epiphenomenon
limited
processing
capacity
or,
alternatively,
represent
structured
mechanism
perceptual
inference.
Using
2
large-scale
datasets,
found
that
humans
mice
alternate
between
externally
internally
oriented
modes
sensory
analysis.
During
mode,
perception
aligns
more
closely
with
the
information,
whereas
internal
mode
characterized
by
biases
toward
history.
Computational
modeling
indicated
dynamic
changes
in
are
enabled
interlinked
factors:
(i)
integration
subsequent
inputs
over
time
(ii)
antiphase
oscillations
impact
information
versus
predictions
provided
We
propose
between-mode
generate
unambiguous
error
signals
enable
optimal
inference
volatile
environments.
Language: Английский
Modulation of metastable ensemble dynamics explains optimal coding at moderate arousal in auditory cortex
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: April 5, 2024
Performance
during
perceptual
decision-making
exhibits
an
inverted-U
relationship
with
arousal,
but
the
underlying
network
mechanisms
remain
unclear.
Here,
we
recorded
from
auditory
cortex
(A1)
of
behaving
mice
passive
tone
presentation,
while
tracking
arousal
via
pupillometry.
We
found
that
discriminability
in
A1
ensembles
was
optimal
at
intermediate
revealing
a
population-level
neural
correlate
relationship.
explained
this
arousal-dependent
coding
using
spiking
model
clustered
architecture.
Specifically,
show
stimulus
is
achieved
near
transition
between
multi-attractor
phase
metastable
cluster
dynamics
(low
arousal)
and
single-attractor
(high
arousal).
Additional
signatures
include
arousal-induced
reductions
overall
variability
extent
stimulus-induced
quenching,
which
observed
empirical
data.
Our
results
elucidate
computational
principles
interactions
pupil-linked
sensory
processing,
variability,
suggest
role
for
transitions
explaining
nonlinear
modulations
cortical
computations.
Language: Английский
Distributed evidence accumulation across macaque large-scale neocortical networks during perceptual decision making
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2023,
Volume and Issue:
unknown
Published: Dec. 27, 2023
Despite
the
traditional
view
of
parietal
cortex
as
an
important
region
for
perceptual
decision-making,
recent
evidence
suggests
that
sensory
accumulation
occurs
simultaneously
across
many
cortical
regions.
We
explored
this
hypothesis
by
integrating
connectivity,
cellular
and
receptor
density
datasets
building
a
large-scale
macaque
model
able
to
integrate
conflicting
signals
perform
decision-making
task.
Our
results
reveal
supported
distributed
network
temporal,
frontal
regions,
with
flexible
sequential
bottom-up
or
top-down
modulation
pathways
depending
on
task
difficulty.
The
replicates
experimental
lesioning
effects
reveals
causal
irrelevance
areas
like
LIP
decision
performance
is
explained
compensatory
mechanisms
within
integration
process.
also
reproduces
observed
temporal
gating
distractor
timing
during
after
Overall,
our
work
hints
at
broad
phenomenon,
providing
multiple
testable
predictions.
Language: Английский
Strategic stabilization of arousal boosts sustained attention
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2022,
Volume and Issue:
unknown
Published: March 6, 2022
Summary
Changes
in
autonomic
arousal,
such
as
mounting
sleep
pressure,
and
changes
motivation,
fluctuating
environmental
reward
statistics,
both
profoundly
influence
behavior.
Our
experience
tells
us
that
we
have
some
capacity
to
control
our
arousal
when
doing
so
is
important,
staying
awake
while
driving
a
motor
vehicle.
However,
little
known
about
how
decision
computations
are
jointly
influenced
by
including
whether
animals,
rodents,
can
adapt
their
state
needs.
Here,
developed
show
results
from
an
auditory
feature-based
sustained-attention
task
with
intermittently
shifting
utility.
We
use
pupil
size
estimate
across
wide
range
of
states
apply
novel
signal
detection
theoretic
accumulation-to-bound
modeling
approaches
large
behavioral
cohort.
find
pupil-linked
utility
major
impacts
on
multiple
aspects
performance.
Although
substantial
fluctuations
persist
conditions,
mice
partially
stabilize
near
intermediate,
optimal,
level
high.
Behavioral
analyses
elements
behavior
improve
during
high
influences
some,
but
not
all,
them.
Specifically,
the
likelihood
timescale
sensory
evidence
accumulation,
quantity
accumulated
per
time
step
attending.
In
sum,
establish
specific
decision-computational
signatures
interaction,
attention.
So
doing,
provide
experimental
analysis
framework
for
studying
self-regulation
neurotypical
brains
diseases
attention-deficit/hyperactivity
disorder.
Language: Английский
Strategic stabilization of arousal boosts sustained attention
Current Biology,
Journal Year:
2024,
Volume and Issue:
34(18), P. 4114 - 4128.e6
Published: Aug. 15, 2024
Arousal
and
motivation
interact
to
profoundly
influence
behavior.
For
example,
experience
tells
us
that
we
have
some
capacity
control
our
arousal
when
appropriately
motivated,
such
as
staying
awake
while
driving
a
motor
vehicle.
However,
little
is
known
about
how
jointly
decision
computations,
including
if
animals,
rodents,
adapt
their
state
needs.
Here,
developed
show
results
from
an
auditory,
feature-based,
sustained-attention
task
with
intermittently
shifting
utility.
We
use
pupil
size
estimate
across
wide
range
of
states
apply
tailored
signal-detection
theoretic,
hazard
function,
accumulation-to-bound
modeling
approaches
in
large
cohort
mice.
find
pupil-linked
utility
both
major
impacts
on
multiple
aspects
performance.
Although
substantial
fluctuations
persist
conditions,
mice
partially
stabilize
near
intermediate
optimal
level
high.
Behavioral
analyses
elements
behavior
improve
during
high
influences
some,
but
not
all,
them.
Specifically,
the
likelihood
timescale
sensory
evidence
accumulation
quantity
accumulated
per
time
step
attending.
In
sum,
establish
specific
decision-computational
signatures
arousal,
motivation,
interaction
attention.
So
doing,
provide
experimental
analysis
framework
for
studying
self-regulation
neurotypical
brains
diseases
attention-deficit/hyperactivity
disorder.
Language: Английский
State modulation in spatial networks with three interneuron subtypes
Madeline M Edwards,
No information about this author
Jonathan Rubin,
No information about this author
Chengcheng Huang
No information about this author
et al.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Aug. 24, 2024
Several
inhibitory
interneuron
subtypes
have
been
identified
as
critical
in
regulating
sensory
responses.
However,
the
specific
contribution
of
each
subtype
remains
uncertain.
In
this
work,
we
explore
contributions
cell-type
activity
and
synaptic
connections
to
dynamics
a
spatially
organized
spiking
neuron
network.
We
find
that
firing
rates
somatostatin
(SOM)
interneurons
align
closely
with
level
network
synchrony
irrespective
target
modulatory
input.
Further
analysis
reveals
inhibition
from
SOM
parvalbumin
(PV)
must
be
limited
allow
gradual
transitions
asynchrony
strength
recurrent
excitation
onto
neurons
determines
achievable
Our
results
are
consistent
recent
experimental
findings
on
manipulations.
Overall,
our
highlight
common
dynamic
regimes
achieved
across
modulations
different
cell
populations
identify
cells
main
driver
synchrony.
Language: Английский
Strength of low-frequency EEG phase entrainment to external stimuli is associated with fluctuations in the brain’s internal state
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: May 23, 2024
Abstract
The
brain
attends
to
environmental
rhythms
by
aligning
the
phase
of
internal
oscillations.
However,
factors
underlying
fluctuations
in
strength
this
entrainment
remain
largely
unknown.
In
present
study
we
examined
whether
low-frequency
EEG
rhythmic
stimulus
sequences
varied
with
pupil
size
and
posterior
alpha-band
power,
thought
reflect
arousal
level
excitability
cortical
areas,
respectively.
We
recorded
scalp
while
participants
carried
out
an
intermodal
selective
attention
task,
which
they
were
instructed
attend
a
sequence
visual
or
auditory
stimuli
ignore
other
perceptual
modality.
As
expected,
intertrial
coherence
(ITC),
measure
strength,
was
larger
for
task-relevant
than
task-irrelevant
Across
experiment,
alpha
power
strongly
linked
each
other.
Interestingly,
ITC
tracked
both
variables:
associated
increase
sequence,
whereas
decrease
sequences.
Exploratory
analyses
showed
that
temporal
relation
between
emerged
time
periods
around
maxima
minima.
These
results
indicate
endogenous
sources
contribute
distinctly
entrainment.
Significance
statement
Fluctuations
state
powerfully
shape
perception
external
stimuli.
Understanding
physiological
signatures
is
crucial
understand
how
selectively
switches
content.
Here
studied
two
attentional
state,
pupil-linked
band,
activity
Our
reveal
common
dissociable
influences
these
at
slow
scales.
Furthermore,
measuring
including
as
covariates
statistical
models
can
help
studies
focusing
on
provides
new
evidence
direct
influence
Language: Английский